diff --git a/maps/Hawaii/HawaiiAgriculturalLandUse2020.csv b/maps/Hawaii/HawaiiAgriculturalLandUse2020.csv
new file mode 100644
index 00000000..24aeda49
--- /dev/null
+++ b/maps/Hawaii/HawaiiAgriculturalLandUse2020.csv
@@ -0,0 +1,4836 @@
+latitude,longitude,subset,is_crop,crops_2020,island,acreage
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+21.10285381,-157.24288449,training,0.0,Pasture,Molokai,127.88800049
+21.11738848,-157.23590527,training,0.0,Pasture,Molokai,32.78789902
+21.18855354,-157.10472434,training,0.0,Pasture,Molokai,753.5700073200001
+21.17866767,-157.11499767,training,1.0,Diversified Crop,Molokai,6.40875006
+21.18114843,-157.11440304,training,1.0,Diversified Crop,Molokai,3.62861991
+21.17553,-157.10867514,training,1.0,Diversified Crop,Molokai,3.83639002
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+21.17807872,-157.10683774,training,1.0,Diversified Crop,Molokai,6.15623999
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+21.1648575,-157.10472633,training,0.0,Pasture,Molokai,11.480699540000002
+21.16864052,-157.09814048,training,1.0,Diversified Crop,Molokai,46.44010162
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+21.17434525,-157.08793897,training,1.0,Diversified Crop,Molokai,18.35180092
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+21.18066707,-157.08313666,training,0.0,Pasture,Molokai,2.64480996
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+21.16796779,-157.07481168,training,1.0,Diversified Crop,Molokai,5.32252979
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+21.15279135,-157.07888683,training,1.0,Diversified Crop,Molokai,0.67161298
+21.1824675,-157.0756182,training,1.0,Diversified Crop,Molokai,4.836379999999999
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+21.14403703,-157.13183067,training,0.0,Flowers / Foliage / Landscape,Molokai,16.1427002
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+21.05702326,-156.84593152,training,0.0,Pasture,Molokai,2.83068991
+21.05625186,-156.84439307,training,0.0,Aquaculture,Molokai,16.87260056
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+20.93618543,-156.51815479,training,1.0,Macadamia Nuts,Maui,21.01320076
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+20.92748102,-156.51646143,training,1.0,Macadamia Nuts,Maui,61.5163002
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+20.85170703,-156.65304604,training,0.0,Pasture,Maui,465.7210083
+20.84771918,-156.64337318,training,0.0,Flowers / Foliage / Landscape,Maui,12.56610012
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+20.90159761,-156.31874132,training,0.0,Pasture,Maui,39.2215004
+20.87342094,-156.33718005,training,0.0,Flowers / Foliage / Landscape,Maui,0.86723399
+20.86110041,-156.3316274,training,1.0,Pineapple,Maui,959.24902344
+20.85207548,-156.32660345,training,1.0,Diversified Crop,Maui,2.01829004
+20.86869367,-156.31748505,training,1.0,Diversified Crop,Maui,2.73787999
+20.86826897,-156.31494339,training,1.0,Tropical Fruits,Maui,1.28824997
+20.9123207,-156.3094614,training,0.0,Pasture,Maui,52.17409897
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+20.78865655,-156.45484985,training,0.0,Seed Production,Maui,288.60299683
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+20.00838737,-155.67996258,training,1.0,Diversified Crop,Big Island,4.70475006
+20.01788001,-155.64114053,training,1.0,Diversified Crop,Big Island,0.0965372
+20.00896496,-155.64583231,training,1.0,Diversified Crop,Big Island,1.15117002
+20.24159727,-155.84117555,training,0.0,Flowers / Foliage / Landscape,Big Island,9.96479034
+20.25078679,-155.83303247,training,1.0,Diversified Crop,Big Island,9.2137804
+20.25654492,-155.82902847,training,1.0,Tropical Fruits,Big Island,4.7343998
+20.2196125,-155.85799415,training,1.0,Tropical Fruits,Big Island,19.57799911
+20.22474243,-155.74626684,training,1.0,Taro,Big Island,0.21987499
+20.09797713,-155.60890083,training,1.0,Taro,Big Island,0.0680696
+20.09836182,-155.60780379,training,1.0,Taro,Big Island,0.246291
+20.09778458,-155.60819282,training,1.0,Taro,Big Island,0.177441
+20.10235115,-155.60352258,training,1.0,Taro,Big Island,0.117848
+20.09599504,-155.60996722,training,1.0,Taro,Big Island,0.36617801
+20.09640689,-155.608908,training,1.0,Taro,Big Island,0.249153
+20.09593686,-155.60849684,training,1.0,Taro,Big Island,0.46771801
+20.10401863,-155.60791777,training,1.0,Taro,Big Island,0.353439
+20.10738941,-155.60211275,training,1.0,Taro,Big Island,0.64456898
+20.11260228,-155.60324419,training,1.0,Taro,Big Island,1.54841006
+20.11188772,-155.59720194,training,1.0,Taro,Big Island,0.44046101
+20.11092689,-155.59750749,training,1.0,Taro,Big Island,0.137969
+20.10531401,-155.59521319,training,1.0,Taro,Big Island,0.122221
+20.1065263,-155.59398754,training,1.0,Taro,Big Island,0.043196
+20.09729599,-155.60703334,training,1.0,Taro,Big Island,0.0961036
+20.1021045,-155.60640329,training,1.0,Taro,Big Island,0.963633
+20.10487091,-155.60326581,training,1.0,Taro,Big Island,0.23357899
+20.09554109,-155.6095749,training,1.0,Taro,Big Island,0.115631
+20.09439583,-155.61053992,training,1.0,Taro,Big Island,1.58623004
+20.09927694,-155.60569321,training,1.0,Taro,Big Island,0.80559599
+20.10890174,-155.60461019,training,1.0,Taro,Big Island,0.47705501
+20.1098375,-155.60517904,training,1.0,Taro,Big Island,2.33154011
+20.10892289,-155.60257024,training,1.0,Taro,Big Island,0.68725401
+20.1052745,-155.6071311,training,1.0,Taro,Big Island,1.29638004
+20.01018884,-155.68414639,training,1.0,Diversified Crop,Big Island,3.32685995
+20.00903641,-155.68517687,training,1.0,Diversified Crop,Big Island,1.73766994
+20.00717801,-155.68056324,training,1.0,Diversified Crop,Big Island,2.93569994
+20.00743484,-155.67973022,training,1.0,Diversified Crop,Big Island,1.03506005
+20.01042331,-155.69490352,training,1.0,Diversified Crop,Big Island,2.35045004
+20.01001824,-155.6958564,training,1.0,Diversified Crop,Big Island,2.11950994
+20.00880901,-155.69055775,training,1.0,Diversified Crop,Big Island,0.104424
+20.0025602,-155.69479531,training,1.0,Diversified Crop,Big Island,1.45538998
+20.02867032,-155.63662005,training,1.0,Diversified Crop,Big Island,12.30259991
+20.21972996,-155.78841392,training,1.0,Macadamia Nuts,Big Island,136.63900757000002
+20.23264917,-155.81964133,training,0.0,Flowers / Foliage / Landscape,Big Island,0.209076
+20.23371033,-155.85263374,training,1.0,Diversified Crop,Big Island,1.57031
+20.09416717,-155.52567943,training,1.0,Macadamia Nuts,Big Island,111.49199677
+20.02195967,-155.65400507,training,0.0,Pasture,Big Island,7.50076008
+20.04043545,-155.63798919,training,0.0,Pasture,Big Island,2.02856994
+20.04063752,-155.60036617,training,0.0,Pasture,Big Island,22.85989952
+20.03473333,-155.64884414,training,0.0,Pasture,Big Island,573.8820190399999
+20.2083316,-155.83770492,training,0.0,Pasture,Big Island,25.82509995
+20.12199861,-155.76578598,training,0.0,Pasture,Big Island,19905.30078125
+20.19373075,-155.77977662,training,0.0,Pasture,Big Island,16.013000490000003
+20.2025495,-155.77652224,training,0.0,Pasture,Big Island,18.54000092
+20.21355058,-155.75858267,training,0.0,Pasture,Big Island,21.09129906
+20.21219922,-155.7729306,training,0.0,Pasture,Big Island,66.35890198
+20.2094012,-155.76647585,training,0.0,Pasture,Big Island,288.17800903
+20.21383735,-155.76819078,training,0.0,Pasture,Big Island,202.52400208
+20.22342072,-155.75835642,training,0.0,Pasture,Big Island,14.3572998
+20.21705756,-155.74094771,training,0.0,Pasture,Big Island,194.45399475
+20.22547273,-155.74395087,training,0.0,Pasture,Big Island,26.39979935
+20.22506017,-155.75112557,training,0.0,Pasture,Big Island,101.05000305
+20.07971441,-155.57448493,training,0.0,Pasture,Big Island,382.33599854
+20.05613369,-155.49145743,training,0.0,Pasture,Big Island,1002.90997314
+20.05401627,-155.53745266,training,0.0,Pasture,Big Island,2758.98999023
+20.20110228,-155.78486151,training,0.0,Pasture,Big Island,834.64599609
+20.20062994,-155.74575948,training,0.0,Pasture,Big Island,1175.18005371
+20.22728515,-155.81729683,training,0.0,Pasture,Big Island,128.36399841
+20.22770858,-155.82673745,training,0.0,Pasture,Big Island,360.29000854
+20.02494734,-155.72675366,training,0.0,Pasture,Big Island,2.64103007
+20.0102458,-155.64487037,training,1.0,Diversified Crop,Big Island,0.043317
+20.01121652,-155.64393576,training,1.0,Diversified Crop,Big Island,0.0528779
+20.23436129,-155.80425641,training,0.0,Pasture,Big Island,17.371099469999997
+20.23000673,-155.75858174,training,0.0,Pasture,Big Island,207.44500732
+20.24320045,-155.77954223,training,0.0,Pasture,Big Island,3.95026994
+20.23357946,-155.77022097,training,0.0,Pasture,Big Island,515.07299805
+20.23846076,-155.78615144,training,0.0,Pasture,Big Island,459.74301147
+20.24126894,-155.79756807,training,0.0,Pasture,Big Island,147.13699341
+20.2471209,-155.80893012,training,0.0,Pasture,Big Island,365.67800903
+20.25252488,-155.81506516,training,0.0,Pasture,Big Island,102.05000305
+20.24772699,-155.82334896,training,0.0,Pasture,Big Island,3.28567004
+20.0065225,-155.64697521,training,1.0,Diversified Crop,Big Island,0.161744
+20.00680548,-155.64385903,training,1.0,Diversified Crop,Big Island,0.0787275
+20.01097078,-155.64578953,training,1.0,Diversified Crop,Big Island,0.0604864
+20.01001735,-155.64583012,training,1.0,Diversified Crop,Big Island,0.051643
+20.01091417,-155.64377798,training,1.0,Diversified Crop,Big Island,0.0530606
+20.01251196,-155.64447679,training,1.0,Diversified Crop,Big Island,0.0771162
+20.01264909,-155.64369319,training,1.0,Diversified Crop,Big Island,0.0770599
+20.01233406,-155.64165997,training,1.0,Diversified Crop,Big Island,0.104644
+20.01278732,-155.6375974,training,1.0,Diversified Crop,Big Island,0.102888
+20.01474739,-155.640612,training,1.0,Diversified Crop,Big Island,0.41146699
+20.22466534,-155.79664866,training,1.0,Tropical Fruits,Big Island,54.46900177
+20.20323516,-155.7548474,training,0.0,Pasture,Big Island,43.82699966
+20.21285539,-155.75410564,training,0.0,Pasture,Big Island,122.29799652
+20.25512717,-155.84364838,training,0.0,Pasture,Big Island,1206.32995605
+20.24760354,-155.82461011,training,0.0,Pasture,Big Island,384.59698486
+20.07422798,-155.50542196,training,0.0,Commercial Forestry,Big Island,37.02370071
+20.07742049,-155.5073461,training,0.0,Commercial Forestry,Big Island,73.36720276
+20.08171087,-155.50684663,training,0.0,Commercial Forestry,Big Island,16.14010048
+20.08233086,-155.50528861,training,0.0,Commercial Forestry,Big Island,9.49592018
+20.082171,-155.50327626,training,0.0,Commercial Forestry,Big Island,9.0142498
+20.07969622,-155.50381163,training,0.0,Commercial Forestry,Big Island,14.50990009
+20.10966174,-155.55194143,training,0.0,Commercial Forestry,Big Island,24.76140022
+20.10825325,-155.54915395,training,0.0,Commercial Forestry,Big Island,11.01399994
+20.10849813,-155.54656427,training,0.0,Commercial Forestry,Big Island,33.28300095
+20.10661908,-155.54116435,training,0.0,Commercial Forestry,Big Island,34.5870018
+20.10476298,-155.53584845,training,0.0,Commercial Forestry,Big Island,5.64199018
+20.10367644,-155.53380526,training,0.0,Commercial Forestry,Big Island,13.69320011
+20.0958897,-155.56732281,training,0.0,Commercial Forestry,Big Island,42.65909958
+20.09589086,-155.5628411,training,0.0,Commercial Forestry,Big Island,7.15138006
+20.09893453,-155.56183745,training,0.0,Commercial Forestry,Big Island,34.403301240000005
+20.10366076,-155.56038183,training,0.0,Commercial Forestry,Big Island,13.68109989
+20.10309169,-155.56328486,training,0.0,Commercial Forestry,Big Island,27.97190094
+20.09909392,-155.56477813,training,0.0,Commercial Forestry,Big Island,14.96850014
+20.10229789,-155.56677086,training,0.0,Commercial Forestry,Big Island,67.82849884000001
+20.10099377,-155.57223956,training,0.0,Commercial Forestry,Big Island,29.77330017
+20.10482539,-155.56761146,training,0.0,Commercial Forestry,Big Island,26.77610016
+20.1043089,-155.57010266,training,0.0,Commercial Forestry,Big Island,21.05439949
+20.10640028,-155.5699364,training,0.0,Commercial Forestry,Big Island,38.44810104
+20.11001972,-155.56537934,training,0.0,Commercial Forestry,Big Island,74.75969696
+20.10767432,-155.56264378,training,0.0,Commercial Forestry,Big Island,9.65184021
+20.10804209,-155.56043985,training,0.0,Commercial Forestry,Big Island,11.9605999
+20.10671524,-155.55908655,training,0.0,Commercial Forestry,Big Island,6.47555017
+20.10868595,-155.5760676,training,0.0,Commercial Forestry,Big Island,5.69604015
+20.10362107,-155.57858073,training,0.0,Commercial Forestry,Big Island,29.83200073
+20.11207664,-155.57624443,training,0.0,Commercial Forestry,Big Island,26.31159973
+20.10354485,-155.58432282,training,0.0,Commercial Forestry,Big Island,36.14350128
+20.10514193,-155.58642576,training,0.0,Commercial Forestry,Big Island,78.83550262
+20.11005892,-155.58653704,training,0.0,Commercial Forestry,Big Island,15.58290005
+20.11055283,-155.58852584,training,0.0,Commercial Forestry,Big Island,14.24489975
+20.11204897,-155.58600623,training,0.0,Commercial Forestry,Big Island,7.860710139999999
+20.11054746,-155.58269739,training,0.0,Commercial Forestry,Big Island,27.66810036
+20.11376448,-155.58382477,training,0.0,Commercial Forestry,Big Island,24.071199420000003
+20.1128017,-155.58145795,training,0.0,Commercial Forestry,Big Island,19.86770058
+20.10238283,-155.57746764,training,0.0,Commercial Forestry,Big Island,3.54803991
+20.09035251,-155.56236193,training,0.0,Commercial Forestry,Big Island,16.880399699999998
+20.09406572,-155.56173634,training,0.0,Commercial Forestry,Big Island,9.24545002
+20.10972878,-155.57041046,training,0.0,Commercial Forestry,Big Island,2.68606997
+20.10860372,-155.57118971,training,0.0,Commercial Forestry,Big Island,0.85250199
+20.10672831,-155.57203936,training,0.0,Commercial Forestry,Big Island,0.87384403
+20.10408791,-155.57300405,training,0.0,Commercial Forestry,Big Island,2.1508801
+20.10252431,-155.5736158,training,0.0,Commercial Forestry,Big Island,0.167191
+20.10287391,-155.60878964,training,1.0,Taro,Big Island,0.78978002
+20.11286891,-155.59951819,training,1.0,Taro,Big Island,0.27761999
+20.1119901,-155.59669358,training,1.0,Taro,Big Island,0.491999
+20.11067471,-155.60125449,training,1.0,Taro,Big Island,0.28397101
+20.11028772,-155.60225064,training,1.0,Taro,Big Island,0.189951
+20.10884143,-155.59909713,training,1.0,Taro,Big Island,2.10539007
+20.10653831,-155.6062728,training,1.0,Taro,Big Island,2.21350002
+20.10335325,-155.60870013,training,1.0,Taro,Big Island,0.52146697
+20.10368054,-155.60811005,training,1.0,Taro,Big Island,0.51535302
+20.10384846,-155.6066306,training,1.0,Taro,Big Island,0.65396202
+20.10426527,-155.6077362,training,1.0,Taro,Big Island,0.37140399
+20.10057752,-155.6049071,training,1.0,Taro,Big Island,0.0607634
+20.09658949,-155.60760915,training,1.0,Taro,Big Island,0.147018
+20.09611803,-155.60796113,training,1.0,Taro,Big Island,0.25634101
+20.09637931,-155.60825753,training,1.0,Taro,Big Island,0.375909
+20.09628705,-155.60917585,training,1.0,Taro,Big Island,0.0587992
+20.09701614,-155.60852422,training,1.0,Taro,Big Island,0.241522
+20.09741198,-155.60821072,training,1.0,Taro,Big Island,0.19171301
+20.09530779,-155.60972177,training,1.0,Taro,Big Island,0.06218
+20.10109707,-155.604664,training,1.0,Taro,Big Island,0.107924
+20.10106606,-155.60433708,training,1.0,Taro,Big Island,0.119909
+19.45380065,-155.23794509,training,0.0,Pasture,Big Island,244.36199951
+19.44730892,-155.24181158,training,1.0,Diversified Crop,Big Island,0.78004497
+19.44433767,-155.24518202,training,1.0,Diversified Crop,Big Island,0.178488
+19.44389251,-155.2470603,training,1.0,Diversified Crop,Big Island,1.22075999
+19.44428721,-155.24584094,training,1.0,Diversified Crop,Big Island,0.46370599
+19.43966989,-155.27000112,training,1.0,Diversified Crop,Big Island,0.520998
+19.44099558,-155.2705402,training,1.0,Diversified Crop,Big Island,0.202693
+19.44581458,-155.28599289,training,1.0,Diversified Crop,Big Island,10.56429958
+19.46249216,-155.2621925,training,1.0,Diversified Crop,Big Island,3.06573009
+19.46552759,-155.25784997,training,1.0,Diversified Crop,Big Island,0.929649
+19.46535378,-155.26054009,training,1.0,Diversified Crop,Big Island,3.95824003
+19.46632986,-155.2595264,training,1.0,Diversified Crop,Big Island,2.61837006
+19.46953368,-155.26246312,training,1.0,Diversified Crop,Big Island,0.84198302
+19.47034044,-155.26200011,training,1.0,Diversified Crop,Big Island,1.22133005
+19.46774723,-155.26030931,training,1.0,Diversified Crop,Big Island,2.61966991
+19.46496887,-155.25558338,training,1.0,Diversified Crop,Big Island,1.22384
+19.46919097,-155.26128729,training,0.0,Flowers / Foliage / Landscape,Big Island,3.95247006
+19.47300984,-155.26098036,training,1.0,Diversified Crop,Big Island,5.28550005
+19.46496624,-155.26176125,training,1.0,Diversified Crop,Big Island,1.13618004
+19.47177048,-155.26490549,training,1.0,Diversified Crop,Big Island,42.75699997
+19.47536106,-155.26691018,training,1.0,Diversified Crop,Big Island,20.70249939
+19.47564381,-155.26289625,training,1.0,Diversified Crop,Big Island,4.04535007
+19.47734359,-155.26284534,training,1.0,Diversified Crop,Big Island,6.14789009
+19.48352637,-155.26588984,training,1.0,Diversified Crop,Big Island,14.59640026
+19.47505627,-155.26058176,training,1.0,Diversified Crop,Big Island,20.95849991
+19.46205052,-155.2533436,training,0.0,Flowers / Foliage / Landscape,Big Island,2.82886004
+19.44012749,-155.27073566,training,1.0,Tropical Fruits,Big Island,1.69597995
+19.4402269,-155.26957379,training,1.0,Diversified Crop,Big Island,0.94126397
+19.47556115,-155.15733202,training,0.0,Pasture,Big Island,31.77569962
+19.4789847,-155.15683979,training,0.0,Pasture,Big Island,9.23192024
+19.48069013,-155.15937523,training,0.0,Pasture,Big Island,24.70849991
+19.48395807,-155.1572632,training,0.0,Pasture,Big Island,16.96319962
+19.48372113,-155.15192003,training,0.0,Pasture,Big Island,32.12419891
+19.4849268,-155.15502204,training,0.0,Pasture,Big Island,2.58135009
+19.48190376,-155.17467248,training,0.0,Pasture,Big Island,2198.94995117
+19.49339434,-155.15808655,training,0.0,Pasture,Big Island,183.48100281
+19.5027727,-155.17553169,training,0.0,Pasture,Big Island,38.02519989
+19.50161119,-155.17050256,training,0.0,Pasture,Big Island,48.74290085
+19.49927978,-155.16755953,training,0.0,Pasture,Big Island,18.79089928
+19.48762876,-155.14792619,training,0.0,Pasture,Big Island,105.40899658
+19.50488084,-155.14450375,training,0.0,Pasture,Big Island,33.790298459999995
+19.51160155,-155.14136982,training,0.0,Pasture,Big Island,12.260399820000002
+19.51310992,-155.14594201,training,0.0,Flowers / Foliage / Landscape,Big Island,8.8885498
+19.51886205,-155.13062196,training,1.0,Diversified Crop,Big Island,7.45016003
+19.51589834,-155.13134151,training,1.0,Diversified Crop,Big Island,4.91244984
+19.51500893,-155.12871696,training,1.0,Diversified Crop,Big Island,4.84906006
+19.51685182,-155.12730745,training,1.0,Diversified Crop,Big Island,4.12995005
+19.51760084,-155.1306405,training,1.0,Diversified Crop,Big Island,4.77744007
+19.51393563,-155.12758416,training,1.0,Diversified Crop,Big Island,2.72435999
+19.51758854,-155.12858101,training,1.0,Diversified Crop,Big Island,12.94489956
+19.52441145,-155.13229083,training,0.0,Flowers / Foliage / Landscape,Big Island,5.83277988
+19.52242516,-155.14764367,training,1.0,Diversified Crop,Big Island,2.49257994
+19.52341832,-155.13353109,training,1.0,Diversified Crop,Big Island,12.13409996
+19.52613592,-155.13151239,training,0.0,Pasture,Big Island,24.81220055
+19.5243725,-155.15155361,training,1.0,Coffee,Big Island,5.634379859999999
+19.52744711,-155.14677798,training,1.0,Diversified Crop,Big Island,1.24691999
+19.52731567,-155.14573492,training,1.0,Diversified Crop,Big Island,1.79206002
+19.52664921,-155.14602219,training,1.0,Diversified Crop,Big Island,1.48062003
+19.52358029,-155.14139317,training,0.0,Pasture,Big Island,178.54400635000002
+19.5297475,-155.12844475,training,0.0,Pasture,Big Island,25.93499947
+19.53223034,-155.12213149,training,0.0,Pasture,Big Island,198.60800171
+19.53684868,-155.1269368,training,0.0,Pasture,Big Island,10.12129974
+19.53246878,-155.13208573,training,0.0,Pasture,Big Island,10.97900009
+19.53936516,-155.14942163,training,0.0,Pasture,Big Island,154.16999817
+19.54929942,-155.14723794,training,0.0,Flowers / Foliage / Landscape,Big Island,4.11606979
+19.54833155,-155.14661548,training,0.0,Flowers / Foliage / Landscape,Big Island,2.65054011
+19.5415022,-155.13278101,training,0.0,Pasture,Big Island,116.33399963
+19.54830415,-155.13884116,training,0.0,Pasture,Big Island,19.58550072
+19.55465488,-155.13902013,training,0.0,Pasture,Big Island,44.45029831
+19.55174259,-155.14134045,training,0.0,Pasture,Big Island,24.88349915
+19.55388927,-155.14572753,training,0.0,Pasture,Big Island,3.95572996
+19.55591432,-155.14527922,training,0.0,Pasture,Big Island,14.41090012
+19.56071628,-155.14483652,training,0.0,Pasture,Big Island,38.46829987
+19.56274598,-155.15116661,training,0.0,Pasture,Big Island,48.97050095
+19.56755166,-155.14962731,training,0.0,Pasture,Big Island,16.12479973
+19.56912138,-155.15111171,training,0.0,Pasture,Big Island,7.25634003
+19.57021321,-155.14606852,training,0.0,Pasture,Big Island,23.53960037
+19.57236032,-155.14779501,training,0.0,Pasture,Big Island,17.989900589999998
+19.58170359,-155.13644892,training,0.0,Pasture,Big Island,9.09667969
+19.58025423,-155.13365767,training,0.0,Pasture,Big Island,45.69900131
+19.58410069,-155.13623269,training,1.0,Diversified Crop,Big Island,2.16096997
+19.58566104,-155.133323,training,1.0,Diversified Crop,Big Island,0.94479799
+19.67652095,-155.17204571,training,0.0,Pasture,Big Island,61.1814003
+19.68281996,-155.16285111,training,0.0,Pasture,Big Island,4.23250008
+19.69501564,-155.12977595,training,1.0,Diversified Crop,Big Island,0.41172799
+19.69444265,-155.12980497,training,1.0,Diversified Crop,Big Island,0.53987598
+19.6939172,-155.12978762,training,1.0,Diversified Crop,Big Island,0.23670299
+19.69406603,-155.13256391,training,1.0,Diversified Crop,Big Island,17.17700005
+19.69443238,-155.1304774,training,1.0,Tropical Fruits,Big Island,3.86221004
+19.69246143,-155.12609437,training,1.0,Tropical Fruits,Big Island,3.00757003
+19.65389303,-155.13269959,training,1.0,Diversified Crop,Big Island,1.68525004
+19.45071923,-155.26181184,training,0.0,Pasture,Big Island,2072.31005859
+19.55545227,-155.12046456,training,0.0,Pasture,Big Island,1856.11999512
+19.54368522,-155.10480369,training,0.0,Pasture,Big Island,865.0460205100001
+19.53388846,-155.11416708,training,1.0,Tropical Fruits,Big Island,15.16790009
+19.53563421,-155.11650155,training,1.0,Tropical Fruits,Big Island,10.3991003
+19.53663363,-155.11760086,training,1.0,Tropical Fruits,Big Island,11.77340031
+19.53751935,-155.11863474,training,1.0,Tropical Fruits,Big Island,4.16609001
+19.52417882,-155.10348897,training,1.0,Diversified Crop,Big Island,2.32224011
+19.52210682,-155.09866634,training,1.0,Diversified Crop,Big Island,7.48440981
+19.55296599,-155.10307516,training,0.0,Flowers / Foliage / Landscape,Big Island,1.20967996
+19.5570788,-155.10285308,training,0.0,Flowers / Foliage / Landscape,Big Island,4.37804985
+19.55768876,-155.10104839,training,0.0,Flowers / Foliage / Landscape,Big Island,2.53862
+19.55843986,-155.10194989,training,0.0,Flowers / Foliage / Landscape,Big Island,11.69019985
+19.55769532,-155.09149049,training,0.0,Pasture,Big Island,261.89199829
+19.55577269,-155.08937109,training,1.0,Banana,Big Island,4.78437996
+19.56041799,-155.09366319,training,0.0,Flowers / Foliage / Landscape,Big Island,2.53913999
+19.56225705,-155.09753255,training,1.0,Diversified Crop,Big Island,3.95747995
+19.56487419,-155.09190104,training,1.0,Diversified Crop,Big Island,2.12276006
+19.59745786,-155.10341004,training,1.0,Tropical Fruits,Big Island,12.15240002
+19.60187059,-155.10652677,training,1.0,Macadamia Nuts,Big Island,20.25589943
+19.60036669,-155.10867979,training,1.0,Macadamia Nuts,Big Island,18.90399933
+19.60103618,-155.10757258,training,1.0,Macadamia Nuts,Big Island,19.33040047
+19.59478438,-155.10159275,training,1.0,Tropical Fruits,Big Island,11.91689968
+19.59390314,-155.10543272,training,1.0,Tropical Fruits,Big Island,15.80679989
+19.59869931,-155.11301599,training,1.0,Macadamia Nuts,Big Island,15.63630009
+19.61597505,-155.07658252,training,1.0,Macadamia Nuts,Big Island,289.16000366000003
+19.6039106,-155.0801655,training,1.0,Macadamia Nuts,Big Island,14.9307003
+19.60755541,-155.09171886,training,1.0,Macadamia Nuts,Big Island,175.39500427000002
+19.61008399,-155.08700788,training,1.0,Macadamia Nuts,Big Island,264.62399292
+19.61384944,-155.08214791,training,1.0,Macadamia Nuts,Big Island,257.57501221
+19.60909225,-155.069798,training,1.0,Tropical Fruits,Big Island,10.81389999
+19.62260543,-155.07241291,training,1.0,Papaya,Big Island,3.3747201
+19.61471871,-155.07176255,training,1.0,Papaya,Big Island,28.47509956
+19.62537903,-155.06719084,training,1.0,Papaya,Big Island,6.59366989
+19.62247612,-155.06708087,training,1.0,Papaya,Big Island,89.86769867
+19.61957682,-155.07127559,training,1.0,Papaya,Big Island,59.16360092
+19.63133251,-155.06590407,training,1.0,Papaya,Big Island,186.29600525
+19.6311501,-155.06054409,training,1.0,Papaya,Big Island,19.5156002
+19.63551938,-155.05682262,training,1.0,Papaya,Big Island,9.91401005
+19.63635578,-155.057538,training,1.0,Papaya,Big Island,12.79129982
+19.6364158,-155.05973214,training,1.0,Papaya,Big Island,3.21640992
+19.63742419,-155.0609855,training,1.0,Papaya,Big Island,2.01180005
+19.63802084,-155.06046125,training,1.0,Papaya,Big Island,0.65807402
+19.63846631,-155.05830933,training,1.0,Papaya,Big Island,3.22624993
+19.63902855,-155.05617916,training,1.0,Papaya,Big Island,3.89654994
+19.63845772,-155.05532606,training,1.0,Papaya,Big Island,4.66465998
+19.63780361,-155.05366511,training,1.0,Papaya,Big Island,10.92980003
+19.63969739,-155.05334338,training,1.0,Papaya,Big Island,5.73565006
+19.64150316,-155.05372241,training,1.0,Papaya,Big Island,6.03157997
+19.64259749,-155.05093852,training,1.0,Papaya,Big Island,3.85025001
+19.64133464,-155.05032527,training,1.0,Papaya,Big Island,24.43729973
+19.64579403,-155.05238241,training,0.0,Flowers / Foliage / Landscape,Big Island,5.917960170000001
+19.64719591,-155.05337511,training,0.0,Flowers / Foliage / Landscape,Big Island,5.403029920000001
+19.64776814,-155.0524158,training,0.0,Flowers / Foliage / Landscape,Big Island,3.10987997
+19.64647493,-155.0512486,training,0.0,Flowers / Foliage / Landscape,Big Island,6.254099849999999
+19.64725679,-155.05724686,training,0.0,Flowers / Foliage / Landscape,Big Island,1.87722003
+19.63088645,-155.04453475,training,1.0,Papaya,Big Island,190.75900269
+19.63041076,-155.03668165,training,1.0,Papaya,Big Island,15.0710001
+19.62755839,-155.03592454,training,1.0,Papaya,Big Island,25.13769913
+19.62605445,-155.03593298,training,1.0,Papaya,Big Island,7.01600981
+19.63354071,-155.03672388,training,1.0,Diversified Crop,Big Island,2.04820991
+19.6334548,-155.03816639,training,0.0,Flowers / Foliage / Landscape,Big Island,2.12555003
+19.63242933,-155.03392683,training,1.0,Papaya,Big Island,1.33978999
+19.6342391,-155.02956048,training,1.0,Tropical Fruits,Big Island,14.26980019
+19.63297864,-155.02887722,training,1.0,Tropical Fruits,Big Island,5.42373991
+19.6350621,-155.03048811,training,1.0,Papaya,Big Island,9.97799969
+19.64490445,-155.03947915,training,1.0,Papaya,Big Island,38.082901
+19.64138788,-155.03826429,training,1.0,Macadamia Nuts,Big Island,48.582901
+19.6431431,-155.04021919,training,1.0,Papaya,Big Island,3.97389007
+19.64848541,-155.04310705,training,1.0,Papaya,Big Island,139.20199585
+19.65600812,-155.03688509,training,1.0,Macadamia Nuts,Big Island,56.87390137
+19.65204261,-155.03130625,training,1.0,Macadamia Nuts,Big Island,57.675498960000006
+19.65446832,-155.03995341,training,1.0,Macadamia Nuts,Big Island,39.61949921
+19.64458059,-155.03540009,training,1.0,Macadamia Nuts,Big Island,26.37380028
+19.64574565,-155.03288788,training,1.0,Macadamia Nuts,Big Island,53.27280045
+19.64714916,-155.02941508,training,1.0,Macadamia Nuts,Big Island,49.17660141
+19.64855344,-155.02597902,training,1.0,Macadamia Nuts,Big Island,44.45510101
+19.64977761,-155.02246024,training,1.0,Macadamia Nuts,Big Island,44.56539917
+19.65015757,-155.03767999,training,1.0,Macadamia Nuts,Big Island,28.59819984
+19.65081276,-155.03484647,training,1.0,Macadamia Nuts,Big Island,58.01990128
+19.65327136,-155.02779812,training,1.0,Macadamia Nuts,Big Island,57.058998110000005
+19.65724497,-155.03334399,training,1.0,Macadamia Nuts,Big Island,55.8280983
+19.65476565,-155.00515268,training,1.0,Macadamia Nuts,Big Island,153.46800231999998
+19.65847393,-155.02982823,training,1.0,Macadamia Nuts,Big Island,56.168300630000005
+19.66357657,-155.03170524,training,1.0,Macadamia Nuts,Big Island,54.13890076
+19.67364522,-155.00342414,training,0.0,Flowers / Foliage / Landscape,Big Island,9.00115967
+19.67286652,-155.00072017,training,0.0,Flowers / Foliage / Landscape,Big Island,6.40751982
+19.66531915,-155.0286093,training,1.0,Macadamia Nuts,Big Island,63.770401
+19.66138836,-155.03475346,training,1.0,Macadamia Nuts,Big Island,30.8817997
+19.65946346,-155.03744399,training,1.0,Macadamia Nuts,Big Island,9.03765011
+19.65446475,-155.02434872,training,1.0,Macadamia Nuts,Big Island,55.25479889
+19.65656574,-155.01547665,training,1.0,Macadamia Nuts,Big Island,37.81629944
+19.66802359,-155.01696429,training,1.0,Macadamia Nuts,Big Island,37.92649841
+19.66472451,-155.01195881,training,1.0,Macadamia Nuts,Big Island,50.4659996
+19.65508252,-155.02111049,training,1.0,Macadamia Nuts,Big Island,40.2193985
+19.65966194,-155.02639845,training,1.0,Macadamia Nuts,Big Island,53.0306015
+19.65855478,-155.02361728,training,1.0,Macadamia Nuts,Big Island,3.33088994
+19.66488847,-155.02575828,training,1.0,Macadamia Nuts,Big Island,14.99979973
+19.66152818,-155.02444637,training,1.0,Macadamia Nuts,Big Island,12.55630016
+19.66579429,-155.02351597,training,1.0,Macadamia Nuts,Big Island,38.36309814
+19.66228597,-155.02208683,training,1.0,Macadamia Nuts,Big Island,31.73719978
+19.66688681,-155.02023023,training,1.0,Macadamia Nuts,Big Island,37.5625
+19.66372803,-155.01912974,training,1.0,Macadamia Nuts,Big Island,23.15550041
+19.66915752,-155.01372508,training,1.0,Macadamia Nuts,Big Island,37.19680023
+19.66401318,-155.01509619,training,1.0,Macadamia Nuts,Big Island,41.21770096
+19.65973053,-155.01571968,training,1.0,Macadamia Nuts,Big Island,41.38190079
+19.65579391,-155.01845672,training,1.0,Macadamia Nuts,Big Island,21.66679955
+19.65877635,-155.02084339,training,1.0,Macadamia Nuts,Big Island,41.46020126
+19.6577684,-155.0120059,training,1.0,Macadamia Nuts,Big Island,36.03110123
+19.66893631,-155.00885482,training,1.0,Macadamia Nuts,Big Island,113.81999969
+19.66453812,-155.0024686,training,1.0,Macadamia Nuts,Big Island,46.12070084
+19.66961101,-155.00457133,training,1.0,Macadamia Nuts,Big Island,55.16400146
+19.66610059,-154.9993441,training,1.0,Macadamia Nuts,Big Island,35.58160019
+19.66978325,-155.00121544,training,1.0,Macadamia Nuts,Big Island,30.03779984
+19.64516405,-155.01607954,training,1.0,Macadamia Nuts,Big Island,97.49770355
+19.65171402,-155.01464889,training,1.0,Macadamia Nuts,Big Island,187.1000061
+19.64966029,-155.00287384,training,1.0,Macadamia Nuts,Big Island,115.73400116
+19.66187018,-155.00606425,training,1.0,Macadamia Nuts,Big Island,114.59999847
+19.65653212,-154.999179,training,1.0,Macadamia Nuts,Big Island,57.096801760000005
+19.65095574,-154.99661157,training,1.0,Macadamia Nuts,Big Island,70.67630005
+19.6602707,-155.00155775,training,1.0,Macadamia Nuts,Big Island,7.10860014
+19.66904122,-155.02409752,training,1.0,Macadamia Nuts,Big Island,52.59130096
+19.64309669,-155.02155592,training,1.0,Banana,Big Island,21.51679993
+19.64077641,-155.01945152,training,1.0,Banana,Big Island,12.15450001
+19.64042532,-155.0215399,training,1.0,Banana,Big Island,4.22048998
+19.63668557,-155.03033003,training,1.0,Tropical Fruits,Big Island,9.77750015
+19.64212841,-155.03186522,training,1.0,Banana,Big Island,32.9966011
+19.64012989,-155.0248567,training,1.0,Macadamia Nuts,Big Island,170.67700195
+19.64133777,-155.02948202,training,1.0,Macadamia Nuts,Big Island,2.19880009
+19.64249997,-155.02452809,training,1.0,Banana,Big Island,4.21474981
+19.64245364,-155.02322248,training,1.0,Banana,Big Island,11.41549969
+19.6436569,-155.0191383,training,1.0,Macadamia Nuts,Big Island,24.18919945
+19.64459549,-155.02217506,training,1.0,Tropical Fruits,Big Island,0.78055203
+19.64040921,-155.02049714,training,1.0,Tropical Fruits,Big Island,2.84060001
+19.64113085,-155.02352009,training,1.0,Tropical Fruits,Big Island,2.89181995
+19.62846217,-155.02549135,training,1.0,Papaya,Big Island,31.31040001
+19.63032396,-155.0183919,training,1.0,Banana,Big Island,22.7635994
+19.62805622,-155.0232879,training,1.0,Banana,Big Island,25.72060013
+19.62492564,-155.01694369,training,1.0,Banana,Big Island,9.76255989
+19.6288909,-155.01303296,training,1.0,Tropical Fruits,Big Island,58.00120163
+19.62692517,-155.0213102,training,1.0,Banana,Big Island,60.606998440000005
+19.62594398,-155.01971553,training,1.0,Tropical Fruits,Big Island,4.67791986
+19.6256117,-155.01787824,training,1.0,Diversified Crop,Big Island,4.530600069999999
+19.62745278,-155.01814658,training,1.0,Tropical Fruits,Big Island,8.45584965
+19.62668847,-155.01523157,training,1.0,Diversified Crop,Big Island,12.02159977
+19.63505364,-155.03253349,training,1.0,Papaya,Big Island,12.2748003
+19.63813295,-155.04103028,training,1.0,Macadamia Nuts,Big Island,3.4425199
+19.63829608,-155.02986621,training,1.0,Banana,Big Island,4.677989960000001
+19.63839415,-155.03275392,training,0.0,Pasture,Big Island,72.70520020000001
+19.64508138,-155.00917781,training,1.0,Papaya,Big Island,115.18699646
+19.63321399,-155.02195941,training,1.0,Macadamia Nuts,Big Island,11.385399820000002
+19.63329128,-155.0202285,training,1.0,Banana,Big Island,14.2876997
+19.63485478,-155.01777705,training,1.0,Banana,Big Island,36.96860123
+19.6289254,-155.00516155,training,0.0,Pasture,Big Island,930.26800537
+19.63821826,-155.01345013,training,1.0,Papaya,Big Island,36.24670029
+19.64128004,-155.00782007,training,1.0,Papaya,Big Island,47.26879883
+19.61029202,-155.02259086,training,1.0,Papaya,Big Island,56.2845993
+19.61402963,-155.02137585,training,1.0,Papaya,Big Island,7.176670069999999
+19.61189723,-155.02293974,training,1.0,Tropical Fruits,Big Island,17.70590019
+19.61986109,-155.02906221,training,1.0,Macadamia Nuts,Big Island,30.13439941
+19.61823493,-155.03078811,training,1.0,Macadamia Nuts,Big Island,8.20641041
+19.61863635,-155.03317487,training,1.0,Papaya,Big Island,44.49480057
+19.61571533,-155.04469579,training,1.0,Papaya,Big Island,11.38580036
+19.6183268,-155.0454335,training,1.0,Papaya,Big Island,24.49710083
+19.6159279,-155.04649436,training,1.0,Diversified Crop,Big Island,3.32306004
+19.61865979,-155.02721059,training,0.0,Flowers / Foliage / Landscape,Big Island,12.62370014
+19.6198298,-155.02490036,training,1.0,Papaya,Big Island,64.37830353
+19.61437825,-155.02745012,training,1.0,Papaya,Big Island,84.38880157
+19.62358339,-155.03110562,training,1.0,Papaya,Big Island,8.30228043
+19.61650088,-155.02400563,training,1.0,Papaya,Big Island,6.620679859999999
+19.6123993,-155.02616293,training,1.0,Papaya,Big Island,14.28989983
+19.60196799,-155.02948539,training,0.0,Flowers / Foliage / Landscape,Big Island,5.479720120000001
+19.60218915,-155.02816225,training,0.0,Flowers / Foliage / Landscape,Big Island,2.13616991
+19.60249272,-155.0276771,training,0.0,Flowers / Foliage / Landscape,Big Island,0.974751
+19.60109068,-155.02733981,training,0.0,Flowers / Foliage / Landscape,Big Island,2.24469995
+19.60626187,-155.03088318,training,1.0,Papaya,Big Island,3.12076998
+19.59959513,-155.00538139,training,1.0,Diversified Crop,Big Island,5.41889
+19.59904585,-155.00791993,training,0.0,Flowers / Foliage / Landscape,Big Island,10.97959995
+19.59701006,-155.00780473,training,0.0,Flowers / Foliage / Landscape,Big Island,1.72932994
+19.59667008,-155.00940695,training,1.0,Diversified Crop,Big Island,1.57998002
+19.58679992,-155.01638662,training,1.0,Diversified Crop,Big Island,10.27340031
+19.58826038,-155.01452404,training,1.0,Diversified Crop,Big Island,1.02675998
+19.57790777,-155.00541146,training,0.0,Flowers / Foliage / Landscape,Big Island,0.72654802
+19.58313614,-155.02373609,training,1.0,Diversified Crop,Big Island,4.830679890000001
+19.58399105,-155.02507201,training,0.0,Flowers / Foliage / Landscape,Big Island,3.14595008
+19.58524298,-155.02485019,training,0.0,Flowers / Foliage / Landscape,Big Island,3.93308997
+19.58232266,-155.02820158,training,0.0,Flowers / Foliage / Landscape,Big Island,3.73069
+19.57920975,-155.03022342,training,0.0,Flowers / Foliage / Landscape,Big Island,3.34895992
+19.58082197,-155.03048666,training,0.0,Flowers / Foliage / Landscape,Big Island,1.70235002
+19.5946556,-155.04543228,training,1.0,Tropical Fruits,Big Island,4.90561008
+19.59198194,-155.04430396,training,1.0,Tropical Fruits,Big Island,3.05402994
+19.59610383,-155.05271965,training,1.0,Tropical Fruits,Big Island,4.15098
+19.59562681,-155.0532464,training,1.0,Tropical Fruits,Big Island,2.59622002
+19.59451917,-155.05189715,training,0.0,Flowers / Foliage / Landscape,Big Island,3.48460007
+19.59504565,-155.05150956,training,0.0,Flowers / Foliage / Landscape,Big Island,0.339239
+19.58890265,-155.05033996,training,1.0,Tropical Fruits,Big Island,0.82772702
+19.59028564,-155.05153053,training,0.0,Flowers / Foliage / Landscape,Big Island,1.05122006
+19.59000283,-155.05076595,training,1.0,Tropical Fruits,Big Island,2.79934001
+19.58950447,-155.05006582,training,1.0,Tropical Fruits,Big Island,0.83595002
+19.59084312,-155.05154492,training,0.0,Flowers / Foliage / Landscape,Big Island,2.6958499
+19.5917537,-155.05179231,training,1.0,Tropical Fruits,Big Island,2.28151989
+19.59200644,-155.054581,training,0.0,Flowers / Foliage / Landscape,Big Island,1.17156005
+19.60008831,-155.05792748,training,1.0,Macadamia Nuts,Big Island,1.28334999
+19.60117681,-155.05932617,training,1.0,Tropical Fruits,Big Island,4.969620229999999
+19.60001358,-155.060537,training,1.0,Tropical Fruits,Big Island,1.81994998
+19.59526737,-155.06673226,training,1.0,Tropical Fruits,Big Island,96.95149994
+19.59876357,-155.06668776,training,1.0,Diversified Crop,Big Island,3.12553
+19.59306927,-155.07744711,training,0.0,Flowers / Foliage / Landscape,Big Island,0.71914297
+19.59266188,-155.0775484,training,0.0,Flowers / Foliage / Landscape,Big Island,0.442581
+19.5935346,-155.07726428,training,0.0,Flowers / Foliage / Landscape,Big Island,0.42794901
+19.5923416,-155.07644285,training,0.0,Flowers / Foliage / Landscape,Big Island,0.26830599
+19.59474362,-155.07708788,training,1.0,Tropical Fruits,Big Island,0.72039801
+19.59808145,-155.07433766,training,1.0,Tropical Fruits,Big Island,35.1006012
+19.5900749,-155.06683565,training,1.0,Banana,Big Island,3.71767998
+19.58959872,-155.06764579,training,1.0,Banana,Big Island,1.35455
+19.58899115,-155.0675088,training,1.0,Banana,Big Island,0.54226899
+19.58979451,-155.06942298,training,1.0,Banana,Big Island,2.00892997
+19.59195348,-155.06631599,training,1.0,Tropical Fruits,Big Island,2.41278005
+19.59003167,-155.07153279,training,1.0,Tropical Fruits,Big Island,7.527329920000001
+19.58922385,-155.07183514,training,1.0,Tropical Fruits,Big Island,6.36202002
+19.58888343,-155.07415798,training,1.0,Diversified Crop,Big Island,0.64286101
+19.58907831,-155.06672095,training,1.0,Banana,Big Island,0.58614498
+19.58889313,-155.06853571,training,1.0,Diversified Crop,Big Island,0.381486
+19.59181471,-155.06306596,training,0.0,Flowers / Foliage / Landscape,Big Island,9.73351002
+19.58573379,-155.06881688,training,1.0,Tropical Fruits,Big Island,2.88321996
+19.58568784,-155.06768888,training,1.0,Tropical Fruits,Big Island,2.2102499
+19.58638231,-155.06560242,training,1.0,Tropical Fruits,Big Island,0.55101597
+19.58623791,-155.06463651,training,1.0,Tropical Fruits,Big Island,1.34965003
+19.58776963,-155.06811909,training,1.0,Tropical Fruits,Big Island,1.92800999
+19.58688961,-155.06782739,training,1.0,Tropical Fruits,Big Island,0.159632
+19.58839803,-155.06662831,training,1.0,Tropical Fruits,Big Island,1.85608995
+19.58831809,-155.06870588,training,1.0,Tropical Fruits,Big Island,0.46888399
+19.58891587,-155.06920917,training,1.0,Diversified Crop,Big Island,0.13373899
+19.58882605,-155.06949659,training,1.0,Diversified Crop,Big Island,0.0831339
+19.58911173,-155.0693075,training,1.0,Diversified Crop,Big Island,0.104891
+19.58217422,-155.05379011,training,1.0,Tropical Fruits,Big Island,2.93399
+19.58277505,-155.0535143,training,1.0,Tropical Fruits,Big Island,2.81236005
+19.58361477,-155.056045,training,1.0,Tropical Fruits,Big Island,1.87175
+19.58084779,-155.0564533,training,1.0,Tropical Fruits,Big Island,2.21668005
+19.57917542,-155.05388724,training,1.0,Diversified Crop,Big Island,2.28390002
+19.57905428,-155.05076962,training,1.0,Tropical Fruits,Big Island,7.15505981
+19.58006871,-155.05135943,training,1.0,Diversified Crop,Big Island,3.09950995
+19.58682996,-155.05561421,training,1.0,Tropical Fruits,Big Island,0.836631
+19.58786948,-155.05614593,training,1.0,Tropical Fruits,Big Island,4.502900120000001
+19.58659956,-155.05920666,training,1.0,Tropical Fruits,Big Island,1.33844995
+19.58554506,-155.05868952,training,1.0,Tropical Fruits,Big Island,0.65324098
+19.5851896,-155.05944625,training,0.0,Flowers / Foliage / Landscape,Big Island,0.48204699
+19.58597433,-155.06020896,training,0.0,Flowers / Foliage / Landscape,Big Island,0.36695999
+19.5862951,-155.06021621,training,1.0,Diversified Crop,Big Island,0.27245599
+19.58165556,-155.05840591,training,1.0,Tropical Fruits,Big Island,9.626110079999998
+19.58378153,-155.06435698,training,0.0,Flowers / Foliage / Landscape,Big Island,3.2230401
+19.5802892,-155.0644907,training,1.0,Tropical Fruits,Big Island,6.8417902
+19.58343794,-155.06287643,training,0.0,Flowers / Foliage / Landscape,Big Island,2.06254005
+19.58149762,-155.06379113,training,1.0,Tropical Fruits,Big Island,4.171750070000001
+19.58159679,-155.06612795,training,0.0,Flowers / Foliage / Landscape,Big Island,9.5350399
+19.58263313,-155.06517901,training,0.0,Flowers / Foliage / Landscape,Big Island,9.15493011
+19.5824989,-155.06741048,training,1.0,Diversified Crop,Big Island,0.91861999
+19.58030604,-155.06659899,training,0.0,Flowers / Foliage / Landscape,Big Island,2.34159994
+19.578911,-155.06534366,training,1.0,Tropical Fruits,Big Island,1.55625999
+19.57947712,-155.06621187,training,1.0,Tropical Fruits,Big Island,0.54861802
+19.58074665,-155.06722792,training,0.0,Flowers / Foliage / Landscape,Big Island,1.87217999
+19.58102222,-155.06765119,training,0.0,Flowers / Foliage / Landscape,Big Island,0.75443298
+19.57955342,-155.06526076,training,1.0,Tropical Fruits,Big Island,1.67007995
+19.5797887,-155.10165016,training,0.0,Pasture,Big Island,2157.42993164
+19.57575047,-155.0584024,training,1.0,Diversified Crop,Big Island,1.47308004
+19.57540712,-155.05767973,training,1.0,Diversified Crop,Big Island,3.08974004
+19.57263946,-155.06544031,training,0.0,Flowers / Foliage / Landscape,Big Island,2.19308996
+19.5717789,-155.06581025,training,0.0,Flowers / Foliage / Landscape,Big Island,1.22649002
+19.5743565,-155.06847488,training,0.0,Flowers / Foliage / Landscape,Big Island,2.98670006
+19.57505434,-155.06763447,training,0.0,Flowers / Foliage / Landscape,Big Island,1.02985001
+19.57992526,-155.07214102,training,0.0,Flowers / Foliage / Landscape,Big Island,14.28170013
+19.57956767,-155.07378181,training,0.0,Flowers / Foliage / Landscape,Big Island,2.59680009
+19.5700419,-155.07100452,training,0.0,Flowers / Foliage / Landscape,Big Island,2.08931994
+19.570435,-155.07283687,training,1.0,Tropical Fruits,Big Island,1.13484001
+19.5706859,-155.07238431,training,1.0,Tropical Fruits,Big Island,0.80080497
+19.5696615,-155.07236164,training,1.0,Tropical Fruits,Big Island,0.75823897
+19.57119966,-155.07167699,training,0.0,Flowers / Foliage / Landscape,Big Island,1.61128998
+19.56839006,-155.06994272,training,0.0,Flowers / Foliage / Landscape,Big Island,1.40838003
+19.56672475,-155.07314695,training,1.0,Diversified Crop,Big Island,1.06219006
+19.56245849,-155.08761003,training,1.0,Coffee,Big Island,24.51659966
+19.57070189,-155.08252613,training,1.0,Tropical Fruits,Big Island,2.96411991
+19.56782054,-155.07707399,training,1.0,Tropical Fruits,Big Island,1.5036
+19.56701054,-155.07655189,training,1.0,Tropical Fruits,Big Island,3.4700501
+19.56880864,-155.07758067,training,0.0,Flowers / Foliage / Landscape,Big Island,1.77028
+19.56845119,-155.0783414,training,0.0,Flowers / Foliage / Landscape,Big Island,0.824664
+19.56944128,-155.078279,training,0.0,Flowers / Foliage / Landscape,Big Island,2.34873009
+19.57010361,-155.07742177,training,0.0,Flowers / Foliage / Landscape,Big Island,1.01406002
+19.56637101,-155.07681488,training,0.0,Flowers / Foliage / Landscape,Big Island,0.42119601
+19.56911581,-155.07680448,training,0.0,Flowers / Foliage / Landscape,Big Island,2.01534009
+19.56880488,-155.07903011,training,1.0,Tropical Fruits,Big Island,0.78815001
+19.57939345,-155.08131734,training,0.0,Pasture,Big Island,686.7440185500001
+19.56862438,-155.08366888,training,1.0,Tropical Fruits,Big Island,0.99025702
+19.56970681,-155.0840585,training,1.0,Tropical Fruits,Big Island,2.00741005
+19.57089256,-155.08440885,training,1.0,Tropical Fruits,Big Island,3.58490992
+19.57178383,-155.08260878,training,1.0,Tropical Fruits,Big Island,7.81585979
+19.59694504,-155.08259023,training,0.0,Flowers / Foliage / Landscape,Big Island,5.35360003
+19.5962176,-155.08094775,training,0.0,Flowers / Foliage / Landscape,Big Island,4.90159988
+19.59384846,-155.08027388,training,0.0,Flowers / Foliage / Landscape,Big Island,1.45984006
+19.59818529,-155.08191381,training,0.0,Flowers / Foliage / Landscape,Big Island,6.74427986
+19.59484516,-155.08041934,training,0.0,Flowers / Foliage / Landscape,Big Island,1.36775994
+19.59413284,-155.08109434,training,0.0,Flowers / Foliage / Landscape,Big Island,3.80158997
+19.59355024,-155.08505406,training,0.0,Flowers / Foliage / Landscape,Big Island,1.61849999
+19.59573203,-155.08947701,training,0.0,Flowers / Foliage / Landscape,Big Island,16.90979958
+19.59735171,-155.08542375,training,0.0,Flowers / Foliage / Landscape,Big Island,5.913630009999999
+19.60013145,-155.09091262,training,0.0,Flowers / Foliage / Landscape,Big Island,10.31750011
+19.58932686,-155.07922672,training,1.0,Tropical Fruits,Big Island,1.15934002
+19.58759657,-155.07513696,training,1.0,Diversified Crop,Big Island,0.88149399
+19.5898646,-155.07914062,training,0.0,Flowers / Foliage / Landscape,Big Island,1.50656998
+19.58870729,-155.07508359,training,1.0,Diversified Crop,Big Island,0.47949901
+19.59224044,-155.08159446,training,0.0,Flowers / Foliage / Landscape,Big Island,2.22461009
+19.59120563,-155.0814362,training,0.0,Flowers / Foliage / Landscape,Big Island,0.82306701
+19.59211124,-155.08226722,training,0.0,Flowers / Foliage / Landscape,Big Island,1.28192997
+19.59224302,-155.0842456,training,0.0,Pasture,Big Island,25.14990044
+19.59700564,-155.0836068,training,0.0,Flowers / Foliage / Landscape,Big Island,2.63074994
+19.59092062,-155.08737467,training,1.0,Tropical Fruits,Big Island,4.34225988
+19.59962014,-155.08859353,training,0.0,Flowers / Foliage / Landscape,Big Island,4.126860140000001
+19.67159195,-155.02728725,training,0.0,Flowers / Foliage / Landscape,Big Island,24.34269905
+19.67386615,-155.02423548,training,1.0,Banana,Big Island,12.07470036
+19.6760759,-155.02201639,training,1.0,Papaya,Big Island,26.65579987
+19.67551098,-155.01511853,training,1.0,Papaya,Big Island,5.68443012
+19.67172544,-155.02380222,training,1.0,Papaya,Big Island,53.4598999
+19.6861496,-155.00927158,training,1.0,Papaya,Big Island,101.03299713
+19.67799562,-155.00888845,training,0.0,Flowers / Foliage / Landscape,Big Island,35.89519882
+19.68116969,-155.00784576,training,1.0,Papaya,Big Island,38.95809937
+19.67809383,-155.01677611,training,1.0,Papaya,Big Island,81.93630219
+19.65245093,-155.04248327,training,1.0,Papaya,Big Island,22.09830093
+19.65430711,-155.04679369,training,0.0,Flowers / Foliage / Landscape,Big Island,0.780653
+19.65463568,-155.04607714,training,0.0,Flowers / Foliage / Landscape,Big Island,0.95867503
+19.65562715,-155.04729389,training,0.0,Flowers / Foliage / Landscape,Big Island,1.40328002
+19.65504587,-155.04704537,training,0.0,Flowers / Foliage / Landscape,Big Island,2.13364005
+19.65567095,-155.04629299,training,0.0,Flowers / Foliage / Landscape,Big Island,2.41110992
+19.65693342,-155.04666968,training,1.0,Tropical Fruits,Big Island,2.1094501
+19.65698908,-155.04877993,training,0.0,Flowers / Foliage / Landscape,Big Island,0.888964
+19.65779796,-155.04783221,training,0.0,Flowers / Foliage / Landscape,Big Island,2.68979001
+19.65556211,-155.05321207,training,0.0,Flowers / Foliage / Landscape,Big Island,1.36176002
+19.65702552,-155.0543217,training,0.0,Flowers / Foliage / Landscape,Big Island,1.32784998
+19.65668172,-155.0522212,training,1.0,Macadamia Nuts,Big Island,5.334899900000001
+19.66004221,-155.0469884,training,0.0,Flowers / Foliage / Landscape,Big Island,17.73620033
+19.65547951,-155.0456089,training,0.0,Flowers / Foliage / Landscape,Big Island,0.45065501
+19.65279449,-155.04487234,training,0.0,Flowers / Foliage / Landscape,Big Island,0.559569
+19.65328358,-155.04479056,training,0.0,Flowers / Foliage / Landscape,Big Island,0.82172102
+19.65202674,-155.05035835,training,1.0,Tropical Fruits,Big Island,4.78139019
+19.65266108,-155.05023049,training,1.0,Diversified Crop,Big Island,2.70749998
+19.65174983,-155.04903767,training,0.0,Flowers / Foliage / Landscape,Big Island,2.88629007
+19.66094258,-155.04920078,training,1.0,Macadamia Nuts,Big Island,8.30455017
+19.66170032,-155.05103736,training,1.0,Macadamia Nuts,Big Island,2.52953005
+19.66048487,-155.05179786,training,1.0,Tropical Fruits,Big Island,5.12782001
+19.65940108,-155.05042853,training,0.0,Flowers / Foliage / Landscape,Big Island,9.05825996
+19.66130004,-155.04536401,training,1.0,Diversified Crop,Big Island,7.85587978
+19.66424349,-155.04685265,training,1.0,Tropical Fruits,Big Island,25.21570015
+19.66511663,-155.04501877,training,0.0,Flowers / Foliage / Landscape,Big Island,1.85388005
+19.66659969,-155.03865385,training,1.0,Tropical Fruits,Big Island,0.41692999
+19.6583276,-155.04931073,training,1.0,Tropical Fruits,Big Island,1.53838003
+19.65852386,-155.04591908,training,1.0,Diversified Crop,Big Island,3.7585001
+19.65768624,-155.04488001,training,1.0,Diversified Crop,Big Island,4.10300016
+19.6660097,-155.04955915,training,0.0,Flowers / Foliage / Landscape,Big Island,5.865099910000001
+19.6677224,-155.04877186,training,1.0,Macadamia Nuts,Big Island,12.838700289999998
+19.66710759,-155.05530001,training,1.0,Tropical Fruits,Big Island,2.28856993
+19.66735377,-155.05471744,training,0.0,Flowers / Foliage / Landscape,Big Island,2.93614006
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+19.66115185,-155.05470559,training,1.0,Tropical Fruits,Big Island,5.985839840000001
+19.65961439,-155.05344815,training,1.0,Macadamia Nuts,Big Island,8.79617023
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+19.65996215,-155.0561706,training,1.0,Tropical Fruits,Big Island,3.7529099
+19.65861581,-155.05484108,training,1.0,Macadamia Nuts,Big Island,9.76006031
+19.66220414,-155.0533057,training,1.0,Tropical Fruits,Big Island,8.70874977
+19.66126859,-155.05733664,training,0.0,Flowers / Foliage / Landscape,Big Island,0.82438701
+19.66360708,-155.0500745,training,0.0,Flowers / Foliage / Landscape,Big Island,10.18789959
+19.66770286,-155.05304987,training,1.0,Diversified Crop,Big Island,3.10038996
+19.65382164,-155.05783342,training,0.0,Flowers / Foliage / Landscape,Big Island,3.89674997
+19.65459776,-155.06151186,training,0.0,Flowers / Foliage / Landscape,Big Island,1.57700002
+19.65550226,-155.06171544,training,0.0,Flowers / Foliage / Landscape,Big Island,5.48567009
+19.65331607,-155.05612771,training,0.0,Flowers / Foliage / Landscape,Big Island,1.44714999
+19.6517535,-155.06397506,training,0.0,Flowers / Foliage / Landscape,Big Island,5.16285992
+19.65067928,-155.06324808,training,0.0,Flowers / Foliage / Landscape,Big Island,3.42878008
+19.65293251,-155.05722091,training,0.0,Flowers / Foliage / Landscape,Big Island,1.94638002
+19.652026,-155.05582602,training,0.0,Flowers / Foliage / Landscape,Big Island,9.24711037
+19.65446435,-155.05671158,training,0.0,Flowers / Foliage / Landscape,Big Island,3.55058002
+19.65664508,-155.06273347,training,0.0,Flowers / Foliage / Landscape,Big Island,9.48935986
+19.65233757,-155.06233136,training,0.0,Flowers / Foliage / Landscape,Big Island,15.27789974
+19.65281751,-155.05992028,training,0.0,Flowers / Foliage / Landscape,Big Island,9.7088604
+19.64960903,-155.0578171,training,0.0,Flowers / Foliage / Landscape,Big Island,8.37275028
+19.64975851,-155.0546084,training,1.0,Tropical Fruits,Big Island,5.66551018
+19.65202116,-155.05869263,training,0.0,Flowers / Foliage / Landscape,Big Island,0.93591201
+19.65560305,-155.06450216,training,0.0,Flowers / Foliage / Landscape,Big Island,5.582819939999999
+19.65743445,-155.0602987,training,0.0,Flowers / Foliage / Landscape,Big Island,4.54086018
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+19.65885277,-155.06135164,training,0.0,Flowers / Foliage / Landscape,Big Island,3.91493011
+19.65823004,-155.06293393,training,0.0,Flowers / Foliage / Landscape,Big Island,2.23551011
+19.58087933,-154.9240728,training,0.0,Pasture,Big Island,43.77190018
+19.56691274,-154.90262458,training,1.0,Tropical Fruits,Big Island,7.583399770000001
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+19.50703627,-154.85993541,training,1.0,Papaya,Big Island,9.5789299
+19.50845602,-154.85759802,training,1.0,Papaya,Big Island,13.06849957
+19.46240102,-154.87856983,training,1.0,Tropical Fruits,Big Island,8.42298031
+19.47377498,-154.86997055,training,1.0,Tropical Fruits,Big Island,2.22952008
+19.47388719,-154.87811338,training,1.0,Macadamia Nuts,Big Island,30.53019905
+19.52297382,-154.85128886,training,1.0,Macadamia Nuts,Big Island,6.49447012
+19.52929956,-154.88298496,training,1.0,Papaya,Big Island,17.07530022
+19.51516244,-154.86138059,training,1.0,Tropical Fruits,Big Island,10.0770998
+19.51780215,-154.86076863,training,0.0,Flowers / Foliage / Landscape,Big Island,8.20602036
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+19.50832269,-154.8670283,training,1.0,Tropical Fruits,Big Island,1.76207995
+19.5075073,-154.86969806,training,1.0,Tropical Fruits,Big Island,15.54679966
+19.52586395,-154.89486743,training,1.0,Papaya,Big Island,12.9066
+19.52408425,-154.89749537,training,1.0,Papaya,Big Island,16.7057991
+19.52014115,-154.89313756,training,1.0,Papaya,Big Island,47.03010178
+19.51156417,-154.85391025,training,1.0,Papaya,Big Island,53.3030014
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+19.51308733,-154.93635667,training,0.0,Flowers / Foliage / Landscape,Big Island,2.37248993
+19.50876176,-154.92618778,training,1.0,Macadamia Nuts,Big Island,35.17789841
+19.49202011,-154.86858438,training,1.0,Tropical Fruits,Big Island,4.05135012
+19.49173329,-154.85448467,training,1.0,Tropical Fruits,Big Island,2.27289009
+19.5064251,-154.92685292,training,1.0,Diversified Crop,Big Island,9.3004303
+19.49477135,-154.86107899,training,1.0,Papaya,Big Island,36.6908989
+19.49562497,-154.85616623,training,1.0,Papaya,Big Island,19.35390091
+19.48737821,-154.86159991,training,1.0,Tropical Fruits,Big Island,5.59576988
+19.4872369,-154.85260721,training,1.0,Papaya,Big Island,3.90577006
+19.49396937,-154.85422363,training,1.0,Papaya,Big Island,4.592090130000001
+19.49617432,-154.85310723,training,0.0,Flowers / Foliage / Landscape,Big Island,3.31023002
+19.49693703,-154.86651504,training,1.0,Papaya,Big Island,48.832599640000005
+19.52345515,-154.84754642,training,1.0,Tropical Fruits,Big Island,2.80560994
+19.52994193,-154.8635934,training,1.0,Papaya,Big Island,13.40219975
+19.53016543,-154.88420125,training,1.0,Papaya,Big Island,9.71041012
+19.53080571,-154.881421,training,1.0,Papaya,Big Island,5.12425995
+19.52529821,-154.87983724,training,1.0,Diversified Crop,Big Island,2.66532993
+19.52445988,-154.87760627,training,1.0,Papaya,Big Island,5.151120189999999
+19.52331957,-154.88602392,training,1.0,Papaya,Big Island,10.96090031
+19.52654492,-154.89915851,training,1.0,Papaya,Big Island,77.92539977999999
+19.52787094,-154.89291733,training,1.0,Papaya,Big Island,34.953601840000005
+19.53137504,-154.89123981,training,1.0,Papaya,Big Island,4.18813992
+19.52776981,-154.8804832,training,1.0,Papaya,Big Island,11.78170013
+19.53106066,-154.8778403,training,1.0,Papaya,Big Island,19.55929947
+19.48718014,-154.90175116,training,1.0,Tropical Fruits,Big Island,4.84107018
+19.50547446,-154.8912687,training,1.0,Macadamia Nuts,Big Island,30.67589951
+19.50156791,-154.88845415,training,1.0,Tropical Fruits,Big Island,11.14939976
+19.45787079,-154.85092995,training,1.0,Papaya,Big Island,243.05499268
+19.46380959,-154.85946637,training,1.0,Papaya,Big Island,27.31920052
+19.43059044,-154.9361869,training,1.0,Banana,Big Island,1.31965005
+19.42760859,-154.93594671,training,1.0,Papaya,Big Island,42.079700470000006
+19.42818291,-154.92564468,training,0.0,Flowers / Foliage / Landscape,Big Island,7.51386023
+19.42541837,-154.92601553,training,0.0,Flowers / Foliage / Landscape,Big Island,1.72027004
+19.42653973,-154.92451675,training,0.0,Flowers / Foliage / Landscape,Big Island,1.83879995
+19.42828852,-154.92285229,training,0.0,Flowers / Foliage / Landscape,Big Island,1.99131
+19.43118676,-154.89128076,training,1.0,Papaya,Big Island,23.2071991
+19.4359985,-154.88855375,training,1.0,Papaya,Big Island,10.04959965
+19.43530169,-154.88686753,training,1.0,Tropical Fruits,Big Island,9.39424038
+19.43129568,-154.8822235,training,1.0,Tropical Fruits,Big Island,4.50525999
+19.42863165,-154.88074506,training,1.0,Macadamia Nuts,Big Island,7.372980119999999
+19.43734134,-154.88254969,training,1.0,Papaya,Big Island,175.39300537
+19.43846337,-154.89974375,training,1.0,Diversified Crop,Big Island,7.6895299
+19.44268125,-154.90140788,training,1.0,Diversified Crop,Big Island,23.96050072
+19.42938807,-154.8929999,training,0.0,Flowers / Foliage / Landscape,Big Island,4.22993994
+19.42349593,-154.89091134,training,1.0,Papaya,Big Island,6.13607979
+19.42511539,-154.89137435,training,1.0,Papaya,Big Island,20.45540047
+19.4275944,-154.89261815,training,1.0,Papaya,Big Island,24.560300830000003
+19.43421638,-154.8947863,training,0.0,Pasture,Big Island,143.13999939
+19.43832036,-154.90428211,training,1.0,Tropical Fruits,Big Island,12.98419952
+19.43743734,-154.90276173,training,1.0,Diversified Crop,Big Island,8.027299880000001
+19.43326688,-154.90139289,training,1.0,Papaya,Big Island,48.54990005
+19.44159477,-154.90282945,training,1.0,Macadamia Nuts,Big Island,0.85876602
+19.44073697,-154.90408935,training,1.0,Tropical Fruits,Big Island,0.43538001
+19.43673519,-154.9165493,training,1.0,Tropical Fruits,Big Island,73.53790283
+19.43713644,-154.91967886,training,1.0,Tropical Fruits,Big Island,8.89297009
+19.43571404,-154.90935087,training,1.0,Tropical Fruits,Big Island,7.70289993
+19.41658364,-154.89731482,training,1.0,Papaya,Big Island,14.14159966
+19.42273865,-154.89697295,training,1.0,Papaya,Big Island,73.47200011999999
+19.44562357,-154.91673322,training,1.0,Tropical Fruits,Big Island,1.92947996
+19.44429521,-154.914215,training,0.0,Pasture,Big Island,30.99600029
+19.41604285,-154.91582091,training,1.0,Papaya,Big Island,9.32279015
+19.41355867,-154.91073293,training,1.0,Papaya,Big Island,20.69589996
+19.42120462,-154.98012642,training,0.0,Pasture,Big Island,49.67559814
+19.39329976,-154.96282742,training,0.0,Pasture,Big Island,20.26749992
+19.39004075,-154.95874481,training,1.0,Tropical Fruits,Big Island,4.87960005
+19.38876698,-154.95671477,training,1.0,Tropical Fruits,Big Island,6.728829859999999
+19.3758118,-154.96456579,training,1.0,Tropical Fruits,Big Island,12.8895998
+19.36678552,-154.97306565,training,1.0,Macadamia Nuts,Big Island,66.37030029
+19.37167189,-154.97246767,training,1.0,Tropical Fruits,Big Island,8.64109039
+19.37072452,-154.97140176,training,1.0,Tropical Fruits,Big Island,1.83408999
+19.37155269,-154.96956815,training,1.0,Tropical Fruits,Big Island,7.3938098
+19.38891693,-154.99790046,training,0.0,Pasture,Big Island,331.16799927
+19.36413098,-154.99076818,training,0.0,Pasture,Big Island,204.66700745
+19.46376677,-154.96409571,training,1.0,Tropical Fruits,Big Island,7.304249759999999
+19.46014778,-154.96629794,training,1.0,Tropical Fruits,Big Island,7.3979702
+19.45849004,-154.97809728,training,1.0,Tropical Fruits,Big Island,2.50474
+19.4545848,-154.97489997,training,0.0,Pasture,Big Island,164.99299621999998
+19.46367191,-154.97085562,training,0.0,Pasture,Big Island,85.17350006000001
+19.48883328,-154.93903456,training,1.0,Tropical Fruits,Big Island,14.3270998
+19.49604339,-154.93937729,training,1.0,Diversified Crop,Big Island,2.52624011
+19.49858958,-154.93717671,training,1.0,Tropical Fruits,Big Island,62.09619904
+19.49972889,-154.94095992,training,1.0,Papaya,Big Island,7.6048398
+19.50174851,-154.94292296,training,0.0,Flowers / Foliage / Landscape,Big Island,0.98575699
+19.49984074,-154.94493424,training,1.0,Tropical Fruits,Big Island,5.85547018
+19.50209738,-154.94836933,training,0.0,Flowers / Foliage / Landscape,Big Island,2.44814992
+19.50247285,-154.94780487,training,0.0,Flowers / Foliage / Landscape,Big Island,1.25678003
+19.50172633,-154.94681915,training,0.0,Flowers / Foliage / Landscape,Big Island,2.18196011
+19.50101341,-154.94586261,training,0.0,Flowers / Foliage / Landscape,Big Island,1.40034997
+19.50088051,-154.94675138,training,0.0,Flowers / Foliage / Landscape,Big Island,2.84802008
+19.48321236,-154.95446662,training,0.0,Pasture,Big Island,20.57390022
+19.48727488,-154.95075146,training,0.0,Pasture,Big Island,287.49398804
+19.51263057,-154.94875726,training,0.0,Flowers / Foliage / Landscape,Big Island,4.400040150000001
+19.51311941,-154.94787579,training,1.0,Tropical Fruits,Big Island,2.73759007
+19.51486016,-154.94842471,training,0.0,Flowers / Foliage / Landscape,Big Island,2.10066009
+19.51557063,-154.94771582,training,0.0,Flowers / Foliage / Landscape,Big Island,1.11693001
+19.51588793,-154.94067407,training,0.0,Flowers / Foliage / Landscape,Big Island,15.25319958
+19.51775055,-154.94027425,training,0.0,Flowers / Foliage / Landscape,Big Island,4.3459301
+19.51724518,-154.94268796,training,0.0,Flowers / Foliage / Landscape,Big Island,5.50129986
+19.51816956,-154.94205733,training,0.0,Flowers / Foliage / Landscape,Big Island,1.13165998
+19.52044984,-154.94282386,training,0.0,Flowers / Foliage / Landscape,Big Island,1.96782005
+19.5189389,-154.94353131,training,0.0,Flowers / Foliage / Landscape,Big Island,4.895979880000001
+19.51201146,-154.94991563,training,0.0,Flowers / Foliage / Landscape,Big Island,1.64055002
+19.51371244,-154.93905373,training,0.0,Flowers / Foliage / Landscape,Big Island,4.88771009
+19.51479296,-154.93811442,training,0.0,Flowers / Foliage / Landscape,Big Island,1.04165995
+19.5180065,-154.94473417,training,0.0,Flowers / Foliage / Landscape,Big Island,3.16551995
+19.51868861,-154.94117497,training,0.0,Flowers / Foliage / Landscape,Big Island,0.98828799
+19.51403716,-154.94953652,training,0.0,Flowers / Foliage / Landscape,Big Island,5.65249014
+19.50952827,-154.9489931,training,0.0,Flowers / Foliage / Landscape,Big Island,8.0958004
+19.50973322,-154.95214153,training,0.0,Flowers / Foliage / Landscape,Big Island,3.00377989
+19.5118056,-154.94656325,training,0.0,Flowers / Foliage / Landscape,Big Island,5.35187006
+19.51056158,-154.95082503,training,0.0,Flowers / Foliage / Landscape,Big Island,5.78099012
+19.50669593,-154.94491164,training,0.0,Flowers / Foliage / Landscape,Big Island,8.99894047
+19.51183354,-154.94518584,training,0.0,Flowers / Foliage / Landscape,Big Island,5.4305501
+19.51025822,-154.9466118,training,0.0,Flowers / Foliage / Landscape,Big Island,1.59446001
+19.51330607,-154.94505762,training,0.0,Flowers / Foliage / Landscape,Big Island,4.60364008
+19.51368739,-154.94251158,training,0.0,Flowers / Foliage / Landscape,Big Island,2.07878995
+19.5147285,-154.94353334,training,0.0,Flowers / Foliage / Landscape,Big Island,2.74111009
+19.51482318,-154.94170387,training,0.0,Flowers / Foliage / Landscape,Big Island,1.12118995
+19.51601218,-154.94462586,training,0.0,Flowers / Foliage / Landscape,Big Island,4.16309023
+19.51412789,-154.94434263,training,0.0,Flowers / Foliage / Landscape,Big Island,13.73950005
+19.51165414,-154.93981343,training,0.0,Flowers / Foliage / Landscape,Big Island,24.75530052
+19.51277058,-154.96052772,training,0.0,Flowers / Foliage / Landscape,Big Island,4.97009993
+19.50869718,-154.96105907,training,0.0,Flowers / Foliage / Landscape,Big Island,0.80265599
+19.50711407,-154.95612676,training,0.0,Flowers / Foliage / Landscape,Big Island,1.41912997
+19.50624465,-154.95391376,training,0.0,Flowers / Foliage / Landscape,Big Island,2.39763999
+19.51206282,-154.95928991,training,0.0,Flowers / Foliage / Landscape,Big Island,4.86037016
+19.50681893,-154.95576714,training,0.0,Flowers / Foliage / Landscape,Big Island,1.08301997
+19.50743651,-154.95299416,training,0.0,Flowers / Foliage / Landscape,Big Island,8.59965038
+19.51077828,-154.9454568,training,0.0,Flowers / Foliage / Landscape,Big Island,1.21960998
+19.50913125,-154.95300766,training,0.0,Flowers / Foliage / Landscape,Big Island,4.84913015
+19.70872068,-155.13276245,training,0.0,Pasture,Big Island,36.5923996
+19.69319252,-155.13944516,training,0.0,Pasture,Big Island,58.71590042
+19.68995266,-155.13967585,training,1.0,Diversified Crop,Big Island,9.60583019
+19.68756218,-155.13992391,training,1.0,Diversified Crop,Big Island,7.39508009
+19.69220568,-155.13761387,training,1.0,Diversified Crop,Big Island,2.07897997
+19.69027145,-155.09892503,training,0.0,Pasture,Big Island,65.96499634
+19.68351701,-155.16438853,training,0.0,Pasture,Big Island,17.168300629999997
+19.6880427,-155.16189579,training,0.0,Pasture,Big Island,96.98329926
+19.69522335,-155.05179181,training,1.0,Macadamia Nuts,Big Island,6.81406021
+19.69386012,-155.0517331,training,1.0,Tropical Fruits,Big Island,5.40111017
+19.69050833,-155.05045583,training,1.0,Tropical Fruits,Big Island,11.59829998
+19.69066326,-155.05383513,training,1.0,Tropical Fruits,Big Island,2.06520009
+19.69316794,-155.05027347,training,1.0,Tropical Fruits,Big Island,4.50395012
+19.69501973,-155.05455397,training,1.0,Tropical Fruits,Big Island,9.51091003
+19.69715865,-155.05238793,training,1.0,Tropical Fruits,Big Island,4.84782982
+19.69626599,-155.04854533,training,1.0,Tropical Fruits,Big Island,4.46778011
+19.69841817,-155.05657692,training,1.0,Macadamia Nuts,Big Island,7.56147003
+19.68547682,-155.04491195,training,1.0,Tropical Fruits,Big Island,19.2310009
+19.6861842,-155.05229298,training,0.0,Flowers / Foliage / Landscape,Big Island,5.19521999
+19.68348043,-155.05347505,training,1.0,Diversified Crop,Big Island,5.75960016
+19.68113127,-155.05285659,training,1.0,Diversified Crop,Big Island,1.93939996
+19.68554671,-155.05051126,training,0.0,Flowers / Foliage / Landscape,Big Island,3.41944003
+19.68507557,-155.05195017,training,1.0,Tropical Fruits,Big Island,5.77621984
+19.68638613,-155.04744757,training,0.0,Flowers / Foliage / Landscape,Big Island,1.98520005
+19.6862484,-155.04879089,training,1.0,Tropical Fruits,Big Island,1.19240999
+19.68114577,-155.05463735,training,1.0,Tropical Fruits,Big Island,0.69977099
+19.68925964,-155.05710446,training,1.0,Macadamia Nuts,Big Island,24.36809921
+19.67307711,-155.05771234,training,1.0,Macadamia Nuts,Big Island,7.10750008
+19.67244218,-155.05696184,training,1.0,Tropical Fruits,Big Island,2.08944988
+19.67096798,-155.05924774,training,0.0,Flowers / Foliage / Landscape,Big Island,5.52784014
+19.68642122,-155.06191841,training,0.0,Flowers / Foliage / Landscape,Big Island,9.26070976
+19.68444921,-155.05913548,training,1.0,Tropical Fruits,Big Island,9.19748974
+19.68570268,-155.06074726,training,1.0,Tropical Fruits,Big Island,1.21221006
+19.6771486,-155.06118557,training,1.0,Tropical Fruits,Big Island,8.4580698
+19.67301121,-155.06550872,training,0.0,Flowers / Foliage / Landscape,Big Island,4.62704992
+19.64689113,-155.07983931,training,1.0,Tropical Fruits,Big Island,24.8090992
+19.64640708,-155.08245372,training,1.0,Tropical Fruits,Big Island,6.55407
+19.64413023,-155.08504428,training,1.0,Tropical Fruits,Big Island,7.45091009
+19.64062489,-155.08257777,training,1.0,Diversified Crop,Big Island,6.83344984
+19.64221135,-155.08327026,training,1.0,Diversified Crop,Big Island,2.38587999
+19.64148141,-155.08169628,training,1.0,Diversified Crop,Big Island,1.16206002
+19.64739672,-155.07682243,training,1.0,Macadamia Nuts,Big Island,3.33031011
+19.66440982,-155.08717478,training,0.0,Flowers / Foliage / Landscape,Big Island,3.80802011
+19.66306027,-155.08288973,training,0.0,Pasture,Big Island,546.86798096
+19.67140783,-155.09519908,training,0.0,Pasture,Big Island,25.08849907
+19.65325204,-155.101837,training,0.0,Pasture,Big Island,1277.36999512
+19.6434263,-155.09087587,training,1.0,Diversified Crop,Big Island,5.01109982
+19.64397497,-155.13384464,training,0.0,Pasture,Big Island,1386.90002441
+19.64677573,-155.11996403,training,0.0,Flowers / Foliage / Landscape,Big Island,6.19791985
+19.64168885,-155.12154834,training,0.0,Pasture,Big Island,1.35025001
+19.65748806,-155.12346187,training,0.0,Flowers / Foliage / Landscape,Big Island,11.43039989
+19.66184844,-155.11864094,training,0.0,Pasture,Big Island,4.503680230000001
+19.67139663,-155.11078293,training,0.0,Pasture,Big Island,350.73800659
+19.72460104,-155.10216927,training,1.0,Tropical Fruits,Big Island,65.90779877
+19.72520327,-155.10683705,training,0.0,Flowers / Foliage / Landscape,Big Island,1.37887001
+19.72260391,-155.10552456,training,1.0,Tropical Fruits,Big Island,30.13640022
+19.72711267,-155.10295232,training,1.0,Tropical Fruits,Big Island,32.78359985
+19.72648089,-155.09536467,training,1.0,Tropical Fruits,Big Island,21.03140068
+19.72384412,-155.10561831,training,1.0,Tropical Fruits,Big Island,2.17945004
+19.72682895,-155.10700659,training,1.0,Tropical Fruits,Big Island,1.06494999
+19.72747693,-155.10909935,training,1.0,Diversified Crop,Big Island,1.37344003
+19.72763844,-155.10844101,training,1.0,Tropical Fruits,Big Island,0.74622202
+19.72738555,-155.10824486,training,1.0,Diversified Crop,Big Island,0.20293701
+19.72356639,-155.10869406,training,1.0,Diversified Crop,Big Island,4.89222002
+19.7212676,-155.11086513,training,1.0,Tropical Fruits,Big Island,22.70560074
+19.72254527,-155.10893854,training,1.0,Tropical Fruits,Big Island,2.31034994
+19.72216797,-155.11325276,training,1.0,Tropical Fruits,Big Island,2.25415993
+19.72090258,-155.1133231,training,1.0,Banana,Big Island,4.51541996
+19.72761735,-155.11156856,training,1.0,Coffee,Big Island,7.24269009
+19.7265239,-155.1286503,training,1.0,Macadamia Nuts,Big Island,199.8710022
+19.72498783,-155.13572043,training,1.0,Macadamia Nuts,Big Island,26.57320023
+19.72715263,-155.13634864,training,1.0,Macadamia Nuts,Big Island,11.787799840000002
+19.72732833,-155.12297449,training,1.0,Macadamia Nuts,Big Island,83.49369812
+19.72421807,-155.11647203,training,1.0,Tropical Fruits,Big Island,7.71735001
+19.73075437,-155.12233153,training,1.0,Macadamia Nuts,Big Island,85.11630249
+19.73280732,-155.13025665,training,1.0,Macadamia Nuts,Big Island,49.020401
+19.73080754,-155.13102775,training,1.0,Macadamia Nuts,Big Island,23.33849907
+19.72575107,-155.11418002,training,1.0,Macadamia Nuts,Big Island,60.55609894
+19.72723008,-155.11257352,training,1.0,Macadamia Nuts,Big Island,44.55260086
+19.72835234,-155.14495646,training,1.0,Tropical Fruits,Big Island,4.740630149999999
+19.73183702,-155.14708622,training,1.0,Diversified Crop,Big Island,11.72939968
+19.72594817,-155.1409185,training,1.0,Tropical Fruits,Big Island,2.72014999
+19.72670559,-155.14005545,training,1.0,Diversified Crop,Big Island,3.88521004
+19.74087069,-155.14806829,training,1.0,Tropical Fruits,Big Island,3.22878003
+19.73719884,-155.14074667,training,1.0,Tropical Fruits,Big Island,74.36990356
+19.74092911,-155.13978267,training,0.0,Pasture,Big Island,130.20599365
+19.73438024,-155.13585231,training,1.0,Tropical Fruits,Big Island,8.873849869999999
+19.73349605,-155.13737751,training,1.0,Diversified Crop,Big Island,17.01759911
+19.73025176,-155.13939492,training,1.0,Diversified Crop,Big Island,1.20775998
+19.74812026,-155.13057494,training,1.0,Macadamia Nuts,Big Island,4.71517992
+19.74559516,-155.12944115,training,1.0,Tropical Fruits,Big Island,1.95099998
+19.74761824,-155.12706842,training,1.0,Macadamia Nuts,Big Island,7.21326017
+19.74089733,-155.12514457,training,1.0,Diversified Crop,Big Island,22.73450089
+19.73762427,-155.11955757,training,1.0,Diversified Crop,Big Island,18.53840065
+19.73571873,-155.12408526,training,1.0,Diversified Crop,Big Island,7.69521999
+19.73706019,-155.12486625,training,1.0,Banana,Big Island,4.098519799999999
+19.73621929,-155.12238772,training,1.0,Banana,Big Island,2.98370004
+19.74757845,-155.1322342,training,1.0,Tropical Fruits,Big Island,2.62360001
+19.74535608,-155.11650025,training,1.0,Macadamia Nuts,Big Island,111.63800049
+19.74575077,-155.13701867,training,0.0,Commercial Forestry,Big Island,112.42099762
+19.73965758,-155.13009719,training,0.0,Commercial Forestry,Big Island,67.78959656
+19.74191191,-155.12836472,training,0.0,Commercial Forestry,Big Island,15.45069981
+19.7383185,-155.12290516,training,1.0,Diversified Crop,Big Island,13.20759964
+19.74351573,-155.11918019,training,1.0,Diversified Crop,Big Island,1.49238002
+19.74078519,-155.11309057,training,1.0,Diversified Crop,Big Island,20.3784008
+19.74008349,-155.11309264,training,1.0,Diversified Crop,Big Island,1.69395995
+19.74018051,-155.10948827,training,1.0,Diversified Crop,Big Island,7.86773014
+19.74142918,-155.10938977,training,1.0,Diversified Crop,Big Island,9.50360012
+19.73787091,-155.10751358,training,1.0,Diversified Crop,Big Island,5.42883015
+19.74219518,-155.11362142,training,1.0,Diversified Crop,Big Island,16.13430023
+19.74423806,-155.12164492,training,1.0,Diversified Crop,Big Island,12.84039974
+19.74317249,-155.12194226,training,1.0,Diversified Crop,Big Island,5.54765987
+19.74203208,-155.11970047,training,1.0,Diversified Crop,Big Island,2.44851995
+19.74304735,-155.11924452,training,1.0,Diversified Crop,Big Island,2.83421993
+19.73226928,-155.11869498,training,1.0,Macadamia Nuts,Big Island,194.80599976
+19.73680183,-155.13342008,training,1.0,Tropical Fruits,Big Island,0.713929
+19.72372677,-155.10995064,training,1.0,Coffee,Big Island,0.65410799
+19.72962059,-155.09972327,training,1.0,Diversified Crop,Big Island,129.33399963
+19.74416654,-155.12591082,training,1.0,Diversified Crop,Big Island,5.34445
+19.74031645,-155.10431473,training,0.0,Flowers / Foliage / Landscape,Big Island,4.50038004
+19.74146278,-155.10654771,training,0.0,Flowers / Foliage / Landscape,Big Island,7.70438004
+19.74225467,-155.10336272,training,1.0,Tropical Fruits,Big Island,15.12660027
+19.74153414,-155.1046166,training,1.0,Tropical Fruits,Big Island,1.17934
+19.73766647,-155.09683201,training,0.0,Flowers / Foliage / Landscape,Big Island,40.70059967
+19.74107908,-155.09569892,training,1.0,Diversified Crop,Big Island,9.12407017
+19.74749656,-155.10088236,training,1.0,Macadamia Nuts,Big Island,79.55919647
+19.74195433,-155.09836465,training,1.0,Macadamia Nuts,Big Island,20.0461998
+19.74954531,-155.10251386,training,1.0,Banana,Big Island,17.67399979
+19.74451834,-155.10112371,training,1.0,Macadamia Nuts,Big Island,17.174800870000002
+19.74448081,-155.0982152,training,1.0,Macadamia Nuts,Big Island,6.957160000000001
+19.74708187,-155.09625544,training,1.0,Diversified Crop,Big Island,4.29462004
+19.74808997,-155.09436254,training,1.0,Diversified Crop,Big Island,1.35388005
+19.74965059,-155.09736951,training,1.0,Diversified Crop,Big Island,2.27318001
+19.74874418,-155.09356083,training,1.0,Diversified Crop,Big Island,1.07923996
+19.74833685,-155.09660007,training,1.0,Diversified Crop,Big Island,7.23188019
+19.747438,-155.09235505,training,1.0,Diversified Crop,Big Island,5.37837982
+19.75150928,-155.09843003,training,1.0,Banana,Big Island,8.45508957
+19.75310065,-155.09438589,training,1.0,Tropical Fruits,Big Island,7.07004976
+19.7506353,-155.09849904,training,1.0,Diversified Crop,Big Island,0.85403901
+19.75319923,-155.09559785,training,1.0,Diversified Crop,Big Island,9.42512035
+19.75523623,-155.10969829,training,1.0,Macadamia Nuts,Big Island,443.81100464
+19.76173793,-155.13265195,training,0.0,Commercial Forestry,Big Island,58.73389816
+19.75995852,-155.13068904,training,0.0,Commercial Forestry,Big Island,64.97299957
+19.76063663,-155.12236006,training,0.0,Commercial Forestry,Big Island,53.80250168
+19.76066984,-155.11231261,training,0.0,Commercial Forestry,Big Island,136.21499634
+19.75975981,-155.10200904,training,0.0,Commercial Forestry,Big Island,28.92550087
+19.7616991,-155.10371591,training,0.0,Commercial Forestry,Big Island,2.58568001
+19.75183203,-155.11867541,training,1.0,Macadamia Nuts,Big Island,72.40740204
+19.75290645,-155.11601139,training,1.0,Macadamia Nuts,Big Island,88.3647995
+19.75239211,-155.13411523,training,1.0,Diversified Crop,Big Island,5.525040150000001
+19.74883078,-155.13479568,training,1.0,Tropical Fruits,Big Island,5.5530901
+19.74932694,-155.12437171,training,1.0,Diversified Crop,Big Island,12.75699997
+19.75135962,-155.12326898,training,1.0,Diversified Crop,Big Island,1.40851998
+19.75089142,-155.12414747,training,1.0,Diversified Crop,Big Island,2.01147008
+19.75030363,-155.13138076,training,1.0,Diversified Crop,Big Island,1.60585999
+19.75030958,-155.12563067,training,1.0,Diversified Crop,Big Island,1.48221004
+19.75236213,-155.12499748,training,1.0,Diversified Crop,Big Island,3.2657001
+19.7504272,-155.12754157,training,1.0,Diversified Crop,Big Island,5.93568993
+19.74959508,-155.127245,training,1.0,Diversified Crop,Big Island,0.475155
+19.75670598,-155.13709055,training,1.0,Tropical Fruits,Big Island,5.01604986
+19.75710051,-155.13453899,training,1.0,Tropical Fruits,Big Island,0.99274302
+19.75373711,-155.13599559,training,0.0,Flowers / Foliage / Landscape,Big Island,2.65496993
+19.75280738,-155.13751691,training,1.0,Tropical Fruits,Big Island,3.07010007
+19.7524523,-155.13632374,training,0.0,Flowers / Foliage / Landscape,Big Island,0.73229802
+19.7528601,-155.13906215,training,1.0,Diversified Crop,Big Island,3.16725993
+19.75394838,-155.14100781,training,1.0,Diversified Crop,Big Island,2.38706994
+19.75598256,-155.14137365,training,1.0,Tropical Fruits,Big Island,1.20528996
+19.75207485,-155.14301279,training,1.0,Diversified Crop,Big Island,7.87978983
+19.7673848,-155.11338019,training,1.0,Macadamia Nuts,Big Island,252.71800232
+19.77090223,-155.10538707,training,1.0,Diversified Crop,Big Island,7.35093021
+19.77219669,-155.09657796,training,1.0,Diversified Crop,Big Island,28.35300064
+19.77089512,-155.09709482,training,1.0,Diversified Crop,Big Island,6.98424006
+19.77599879,-155.10328896,training,1.0,Macadamia Nuts,Big Island,75.25879669000001
+19.77320569,-155.12918144,training,0.0,Commercial Forestry,Big Island,99.38040161
+19.77210433,-155.1180165,training,0.0,Commercial Forestry,Big Island,141.44900513000002
+19.77006084,-155.10427948,training,1.0,Diversified Crop,Big Island,5.248710160000001
+19.76781711,-155.100074,training,1.0,Macadamia Nuts,Big Island,91.24349976
+19.76931592,-155.10878572,training,1.0,Tropical Fruits,Big Island,21.27409935
+19.76522966,-155.11121399,training,1.0,Macadamia Nuts,Big Island,9.70302963
+19.76594738,-155.13631425,training,0.0,Pasture,Big Island,483.05801392
+19.76999246,-155.09966805,training,1.0,Diversified Crop,Big Island,5.87214994
+19.77072756,-155.10068959,training,1.0,Diversified Crop,Big Island,1.37533998
+19.77030441,-155.09522354,training,1.0,Macadamia Nuts,Big Island,5.13241005
+19.76941806,-155.10388413,training,1.0,Diversified Crop,Big Island,17.3003006
+19.77035563,-155.10941235,training,1.0,Tropical Fruits,Big Island,6.5746398
+19.76207994,-155.09867899,training,1.0,Tropical Fruits,Big Island,4.52484989
+19.7731471,-155.11167054,training,1.0,Diversified Crop,Big Island,9.98639965
+19.78730415,-155.09080503,training,1.0,Diversified Crop,Big Island,14.82229996
+19.78404521,-155.08982584,training,1.0,Diversified Crop,Big Island,22.9557991
+19.78063918,-155.09731249,training,1.0,Tropical Fruits,Big Island,43.88019943
+19.77924735,-155.09626109,training,1.0,Banana,Big Island,8.14941978
+19.77902394,-155.11926166,training,1.0,Macadamia Nuts,Big Island,129.71899413999998
+19.78423127,-155.11237305,training,1.0,Macadamia Nuts,Big Island,257.4960022
+19.78689359,-155.09972588,training,1.0,Tropical Fruits,Big Island,54.19100189
+19.77888799,-155.10064754,training,1.0,Tropical Fruits,Big Island,9.56276989
+19.7800032,-155.10797028,training,1.0,Macadamia Nuts,Big Island,48.74340057
+19.7784091,-155.10820073,training,1.0,Macadamia Nuts,Big Island,44.52090073
+19.78766688,-155.1147639,training,1.0,Macadamia Nuts,Big Island,130.70399475
+19.77785164,-155.09923182,training,1.0,Banana,Big Island,2.24222994
+19.78362133,-155.0990453,training,1.0,Tropical Fruits,Big Island,1.02130997
+19.78324558,-155.08905223,training,1.0,Tropical Fruits,Big Island,13.06459999
+19.78714134,-155.11008735,training,0.0,Flowers / Foliage / Landscape,Big Island,4.861209870000001
+19.78931554,-155.10735401,training,0.0,Flowers / Foliage / Landscape,Big Island,6.42438984
+19.78990394,-155.10343785,training,1.0,Diversified Crop,Big Island,12.31289959
+19.78831205,-155.12645853,training,1.0,Tropical Fruits,Big Island,26.65259933
+19.79476674,-155.1269923,training,1.0,Tropical Fruits,Big Island,16.285800929999997
+19.79441178,-155.12215559,training,1.0,Tropical Fruits,Big Island,2.44421005
+19.79063683,-155.11664037,training,1.0,Tropical Fruits,Big Island,6.057409760000001
+19.79343379,-155.12813119,training,1.0,Diversified Crop,Big Island,10.86410046
+19.79407214,-155.13122855,training,1.0,Diversified Crop,Big Island,1.80081999
+19.80208928,-155.1290867,training,0.0,Pasture,Big Island,3017.68994141
+19.79118932,-155.12475635,training,0.0,Flowers / Foliage / Landscape,Big Island,2.16524005
+19.79022626,-155.1245975,training,1.0,Diversified Crop,Big Island,5.00197983
+19.79173376,-155.12162546,training,1.0,Diversified Crop,Big Island,6.79241991
+19.79028268,-155.12150758,training,1.0,Diversified Crop,Big Island,4.03922987
+19.79026086,-155.12293553,training,1.0,Tropical Fruits,Big Island,2.90407991
+19.79203547,-155.11839579,training,1.0,Diversified Crop,Big Island,0.49811399
+19.79133194,-155.09208064,training,1.0,Tropical Fruits,Big Island,7.7020998
+19.79154826,-155.09031273,training,1.0,Diversified Crop,Big Island,2.64732003
+19.80047982,-155.09639237,training,0.0,Flowers / Foliage / Landscape,Big Island,1.89865994
+19.79983735,-155.09523034,training,0.0,Flowers / Foliage / Landscape,Big Island,13.07680035
+19.79780506,-155.09039578,training,0.0,Flowers / Foliage / Landscape,Big Island,3.58269
+19.79652666,-155.0901673,training,0.0,Flowers / Foliage / Landscape,Big Island,5.21350002
+19.79600043,-155.09498891,training,1.0,Diversified Crop,Big Island,1.94542003
+19.79665095,-155.09841075,training,1.0,Diversified Crop,Big Island,4.33892012
+19.79643653,-155.09966521,training,1.0,Tropical Fruits,Big Island,4.27754021
+19.79790726,-155.09914552,training,1.0,Tropical Fruits,Big Island,0.83911598
+19.79979505,-155.10241381,training,0.0,Flowers / Foliage / Landscape,Big Island,8.88988972
+19.79860734,-155.10254741,training,0.0,Flowers / Foliage / Landscape,Big Island,4.267330169999999
+19.79776282,-155.10284864,training,1.0,Banana,Big Island,1.96512997
+19.79829091,-155.09954765,training,1.0,Banana,Big Island,1.37546003
+19.79781596,-155.09980181,training,1.0,Diversified Crop,Big Island,0.493265
+19.79699923,-155.10247121,training,1.0,Banana,Big Island,1.33490002
+19.7999405,-155.11355879,training,0.0,Flowers / Foliage / Landscape,Big Island,44.40090179
+19.79834333,-155.1153533,training,1.0,Tropical Fruits,Big Island,3.33263993
+19.79781143,-155.112113,training,1.0,Diversified Crop,Big Island,21.89609909
+19.79682374,-155.10906592,training,1.0,Diversified Crop,Big Island,5.48095989
+19.79886488,-155.10882638,training,1.0,Diversified Crop,Big Island,5.18263006
+19.80047768,-155.10844595,training,1.0,Diversified Crop,Big Island,11.14420033
+19.8017446,-155.11620207,training,1.0,Diversified Crop,Big Island,1.2744
+19.80250033,-155.11366321,training,0.0,Flowers / Foliage / Landscape,Big Island,12.99110031
+19.80184159,-155.11116102,training,1.0,Diversified Crop,Big Island,0.72674
+19.80309061,-155.10311505,training,1.0,Diversified Crop,Big Island,12.5763998
+19.80530759,-155.10884328,training,1.0,Tropical Fruits,Big Island,12.26019955
+19.80782887,-155.09821154,training,1.0,Tropical Fruits,Big Island,10.93669987
+19.80640588,-155.10208826,training,1.0,Diversified Crop,Big Island,6.35907984
+19.80522688,-155.10639754,training,1.0,Tropical Fruits,Big Island,8.011039729999998
+19.80449671,-155.1072207,training,1.0,Tropical Fruits,Big Island,1.16594005
+19.80551826,-155.10235289,training,1.0,Diversified Crop,Big Island,4.29748011
+19.80430833,-155.10305013,training,1.0,Diversified Crop,Big Island,8.59864998
+19.80878871,-155.10558334,training,1.0,Tropical Fruits,Big Island,2.34748006
+19.81634821,-155.10394101,training,1.0,Tropical Fruits,Big Island,7.26718998
+19.80920017,-155.10260666,training,0.0,Flowers / Foliage / Landscape,Big Island,1.78239
+19.80838299,-155.10188081,training,0.0,Flowers / Foliage / Landscape,Big Island,0.65827
+19.81859967,-155.09073449,training,0.0,Commercial Forestry,Big Island,23.75250053
+19.8170557,-155.09649706,training,1.0,Macadamia Nuts,Big Island,104.86000061
+19.82335284,-155.10822136,training,1.0,Macadamia Nuts,Big Island,125.07499695
+19.82285563,-155.10132757,training,1.0,Macadamia Nuts,Big Island,59.15520096
+19.82230364,-155.09040903,training,0.0,Commercial Forestry,Big Island,27.10720062
+19.82283232,-155.09477205,training,1.0,Diversified Crop,Big Island,3.48759007
+19.82369696,-155.09736202,training,1.0,Tropical Fruits,Big Island,13.94690037
+19.82641748,-155.10352993,training,0.0,Flowers / Foliage / Landscape,Big Island,9.70936012
+19.8097233,-155.1057626,training,1.0,Diversified Crop,Big Island,12.14669991
+19.80817712,-155.09663233,training,1.0,Diversified Crop,Big Island,4.02767992
+19.80646981,-155.10656427,training,1.0,Diversified Crop,Big Island,5.594739909999999
+19.80726409,-155.10757761,training,1.0,Diversified Crop,Big Island,12.88910007
+19.81084105,-155.10180381,training,1.0,Tropical Fruits,Big Island,3.43829012
+19.81723631,-155.09168986,training,1.0,Diversified Crop,Big Island,2.90373993
+19.81470607,-155.10327972,training,1.0,Tropical Fruits,Big Island,1.95273995
+19.81503514,-155.1024764,training,1.0,Tropical Fruits,Big Island,0.901245
+19.81642162,-155.10119202,training,0.0,Flowers / Foliage / Landscape,Big Island,10.73649979
+19.81650825,-155.10321888,training,1.0,Tropical Fruits,Big Island,3.27045989
+19.8272242,-155.0925349,training,1.0,Diversified Crop,Big Island,9.31956959
+19.82636738,-155.10150188,training,1.0,Diversified Crop,Big Island,2.22270989
+19.82668062,-155.10241723,training,1.0,Diversified Crop,Big Island,6.07221985
+19.82712321,-155.10011671,training,1.0,Tropical Fruits,Big Island,15.79950047
+19.82678798,-155.0976893,training,1.0,Tropical Fruits,Big Island,6.91604996
+19.82850962,-155.09534083,training,1.0,Tropical Fruits,Big Island,7.10955
+19.82685206,-155.09625676,training,1.0,Tropical Fruits,Big Island,1.29061997
+19.82950524,-155.09201706,training,1.0,Diversified Crop,Big Island,1.95089996
+19.83130037,-155.09505375,training,1.0,Diversified Crop,Big Island,2.70756006
+19.82658579,-155.08740679,training,1.0,Diversified Crop,Big Island,11.70030022
+19.82749986,-155.09004842,training,0.0,Flowers / Foliage / Landscape,Big Island,18.9810009
+19.82622608,-155.09047786,training,0.0,Flowers / Foliage / Landscape,Big Island,4.51635981
+19.82829026,-155.09379586,training,0.0,Flowers / Foliage / Landscape,Big Island,0.48277
+19.83001869,-155.08876591,training,1.0,Diversified Crop,Big Island,8.2395401
+19.82821894,-155.09777024,training,0.0,Flowers / Foliage / Landscape,Big Island,2.04656005
+19.82977769,-155.12800971,training,0.0,Pasture,Big Island,305.97000122000003
+19.83093996,-155.13944311,training,1.0,Diversified Crop,Big Island,284.07998657
+19.83761019,-155.1185573,training,1.0,Banana,Big Island,7.524690150000001
+19.83746458,-155.12185015,training,1.0,Banana,Big Island,5.47354984
+19.83865824,-155.12548729,training,1.0,Banana,Big Island,5.42277002
+19.8301594,-155.119068,training,1.0,Diversified Crop,Big Island,100.04399872
+19.83346227,-155.11607371,training,1.0,Diversified Crop,Big Island,2.55082011
+19.83228341,-155.1187193,training,1.0,Diversified Crop,Big Island,5.50640011
+19.83345393,-155.12012524,training,1.0,Banana,Big Island,17.675899509999997
+19.8343094,-155.12135316,training,1.0,Banana,Big Island,12.79510021
+19.83492023,-155.11800708,training,1.0,Diversified Crop,Big Island,3.89441991
+19.83552109,-155.11631835,training,1.0,Banana,Big Island,3.43668008
+19.8348616,-155.11547026,training,1.0,Diversified Crop,Big Island,4.61188984
+19.83578349,-155.1140078,training,1.0,Diversified Crop,Big Island,5.48365021
+19.84168584,-155.10984507,training,1.0,Banana,Big Island,18.07239914
+19.83534467,-155.12004847,training,1.0,Banana,Big Island,2.53621006
+19.8359073,-155.1203517,training,1.0,Banana,Big Island,2.13712001
+19.83647152,-155.12034732,training,1.0,Banana,Big Island,3.32786012
+19.83870673,-155.12174556,training,1.0,Banana,Big Island,13.223799710000002
+19.84006897,-155.12127,training,1.0,Banana,Big Island,8.29271984
+19.84087037,-155.12201809,training,1.0,Banana,Big Island,9.70512009
+19.84176801,-155.12276152,training,1.0,Banana,Big Island,8.61822987
+19.8419651,-155.11944958,training,1.0,Banana,Big Island,7.57589006
+19.83746901,-155.12532766,training,1.0,Diversified Crop,Big Island,6.66605997
+19.8400649,-155.12564062,training,1.0,Diversified Crop,Big Island,11.68809986
+19.84103639,-155.11521628,training,1.0,Banana,Big Island,11.89570045
+19.83930769,-155.12873471,training,1.0,Diversified Crop,Big Island,8.44717026
+19.8578841,-155.10168135,training,0.0,Flowers / Foliage / Landscape,Big Island,44.05770111
+19.85688088,-155.09618545,training,1.0,Diversified Crop,Big Island,166.58599854000002
+19.84092163,-155.13828053,training,0.0,Commercial Forestry,Big Island,20.80089951
+19.84894377,-155.12799885,training,0.0,Commercial Forestry,Big Island,29.35759926
+19.8562722,-155.11540367,training,0.0,Commercial Forestry,Big Island,54.01449966
+19.84995658,-155.10246707,training,0.0,Flowers / Foliage / Landscape,Big Island,15.82330036
+19.85413012,-155.10170527,training,0.0,Flowers / Foliage / Landscape,Big Island,22.75460052
+19.83613024,-155.10293164,training,1.0,Banana,Big Island,4.01725006
+19.83794974,-155.10181558,training,1.0,Tropical Fruits,Big Island,1.53309
+19.83725455,-155.10221866,training,1.0,Banana,Big Island,0.98237699
+19.83570407,-155.10189282,training,1.0,Banana,Big Island,1.99091995
+19.83614066,-155.10192564,training,1.0,Tropical Fruits,Big Island,0.81561601
+19.83624429,-155.10062628,training,1.0,Banana,Big Island,0.99361098
+19.83710975,-155.10148757,training,1.0,Banana,Big Island,0.86540002
+19.83776528,-155.09518371,training,1.0,Diversified Crop,Big Island,10.6935997
+19.83447876,-155.08828235,training,1.0,Diversified Crop,Big Island,2.6939199
+19.8346316,-155.08673832,training,1.0,Diversified Crop,Big Island,4.604249950000001
+19.83542035,-155.09236747,training,1.0,Diversified Crop,Big Island,2.89374995
+19.8355901,-155.09517296,training,1.0,Diversified Crop,Big Island,4.72033024
+19.83627633,-155.09478343,training,1.0,Banana,Big Island,0.88618797
+19.83212856,-155.12056184,training,1.0,Diversified Crop,Big Island,1.20764995
+19.83377721,-155.12496309,training,1.0,Diversified Crop,Big Island,2.51998997
+19.83498991,-155.1246608,training,1.0,Banana,Big Island,4.525320049999999
+19.83754337,-155.12900875,training,1.0,Diversified Crop,Big Island,4.298729900000001
+19.84621841,-155.09523138,training,1.0,Diversified Crop,Big Island,21.38069916
+19.84183602,-155.09271253,training,1.0,Banana,Big Island,4.02099991
+19.83982123,-155.08794435,training,1.0,Diversified Crop,Big Island,15.32019997
+19.84274672,-155.09055028,training,1.0,Diversified Crop,Big Island,3.64971995
+19.84444303,-155.0885454,training,1.0,Diversified Crop,Big Island,2.51304007
+19.84416799,-155.09053372,training,1.0,Diversified Crop,Big Island,1.36013997
+19.85134151,-155.09298848,training,1.0,Tropical Fruits,Big Island,2.12205005
+19.84512841,-155.09327585,training,1.0,Diversified Crop,Big Island,4.927780149999999
+19.84652075,-155.08533622,training,1.0,Tropical Fruits,Big Island,5.269909859999999
+19.84599802,-155.09109949,training,1.0,Diversified Crop,Big Island,27.89690018
+19.84546839,-155.09889704,training,1.0,Tropical Fruits,Big Island,2.76126003
+19.84256948,-155.10219851,training,1.0,Tropical Fruits,Big Island,2.34466004
+19.84011434,-155.10026956,training,1.0,Tropical Fruits,Big Island,6.763279910000001
+19.84084781,-155.09522102,training,0.0,Pasture,Big Island,26.51070023
+19.84429362,-155.10118031,training,1.0,Banana,Big Island,2.36322999
+19.84475724,-155.1021874,training,1.0,Tropical Fruits,Big Island,3.61385989
+19.8221392,-155.11292508,training,1.0,Macadamia Nuts,Big Island,3.29926991
+19.82040783,-155.10897722,training,0.0,Pasture,Big Island,3.33327007
+19.83627884,-155.12456416,training,1.0,Diversified Crop,Big Island,9.29041004
+19.84231705,-155.11485795,training,1.0,Diversified Crop,Big Island,4.121079920000001
+19.8389578,-155.11497284,training,1.0,Banana,Big Island,2.37019992
+19.83903749,-155.11671367,training,1.0,Banana,Big Island,1.49940002
+19.83724026,-155.11414642,training,1.0,Banana,Big Island,2.84062004
+19.84011932,-155.11248046,training,1.0,Banana,Big Island,4.56471014
+19.83830957,-155.11587969,training,1.0,Banana,Big Island,1.86310005
+19.83652195,-155.11754975,training,1.0,Diversified Crop,Big Island,5.63121986
+19.83941568,-155.11763638,training,1.0,Banana,Big Island,1.58501995
+19.83919576,-155.11847481,training,1.0,Banana,Big Island,0.942339
+19.83972017,-155.11943792,training,1.0,Banana,Big Island,0.35962999
+19.84035326,-155.11809141,training,1.0,Banana,Big Island,3.13837004
+19.8521427,-155.1053266,training,0.0,Pasture,Big Island,129.04400635000002
+19.84797407,-155.11034075,training,0.0,Pasture,Big Island,36.45209885
+19.84292214,-155.11210379,training,1.0,Diversified Crop,Big Island,13.58689976
+19.8452165,-155.11172888,training,1.0,Banana,Big Island,11.71510029
+19.85503593,-155.10827131,training,1.0,Tropical Fruits,Big Island,1.75466001
+19.85815503,-155.10624475,training,1.0,Diversified Crop,Big Island,5.22078991
+19.8455411,-155.10655343,training,1.0,Tropical Fruits,Big Island,6.82173014
+19.84414103,-155.10993016,training,1.0,Tropical Fruits,Big Island,1.37873995
+19.84458406,-155.10912159,training,1.0,Diversified Crop,Big Island,0.84457803
+19.84501672,-155.10825133,training,1.0,Diversified Crop,Big Island,1.14069998
+19.84616917,-155.10932534,training,1.0,Diversified Crop,Big Island,12.42160034
+19.85030227,-155.11505149,training,1.0,Tropical Fruits,Big Island,7.43472004
+19.84528412,-155.12476024,training,1.0,Diversified Crop,Big Island,8.064430239999998
+19.8444441,-155.11982259,training,1.0,Banana,Big Island,12.75189972
+19.84360389,-155.11866523,training,1.0,Banana,Big Island,5.17780018
+19.84463215,-155.1226297,training,1.0,Diversified Crop,Big Island,2.18088007
+19.84304825,-155.11707881,training,1.0,Diversified Crop,Big Island,2.19199991
+19.84485423,-155.11636238,training,1.0,Diversified Crop,Big Island,18.0102005
+19.84640535,-155.1193857,training,1.0,Diversified Crop,Big Island,33.413299560000006
+19.84309667,-155.11985625,training,1.0,Diversified Crop,Big Island,3.42382002
+19.84196024,-155.11729958,training,1.0,Diversified Crop,Big Island,8.473879810000001
+19.84822552,-155.11282394,training,1.0,Diversified Crop,Big Island,5.92651987
+19.84995017,-155.11711682,training,1.0,Diversified Crop,Big Island,4.10401011
+19.84791215,-155.11410423,training,1.0,Diversified Crop,Big Island,9.02301025
+19.85224831,-155.11575539,training,1.0,Diversified Crop,Big Island,38.59859848
+19.86311938,-155.10284361,training,1.0,Diversified Crop,Big Island,4.25306988
+19.86188001,-155.10375419,training,1.0,Tropical Fruits,Big Island,2.78312993
+19.85684217,-155.11879344,training,1.0,Diversified Crop,Big Island,68.78549957
+19.8593885,-155.11262107,training,1.0,Diversified Crop,Big Island,9.55284023
+19.86082368,-155.11252164,training,1.0,Diversified Crop,Big Island,18.04360008
+19.86215668,-155.10763892,training,1.0,Banana,Big Island,5.50428009
+19.862628,-155.107834,training,1.0,Diversified Crop,Big Island,3.80693007
+19.8609427,-155.1070492,training,1.0,Banana,Big Island,9.46321964
+19.86096096,-155.10532185,training,0.0,Flowers / Foliage / Landscape,Big Island,1.35938001
+19.86229715,-155.10615864,training,0.0,Flowers / Foliage / Landscape,Big Island,1.03902996
+19.86426426,-155.10478235,training,1.0,Tropical Fruits,Big Island,28.04070091
+19.86637388,-155.1066186,training,1.0,Tropical Fruits,Big Island,15.36130047
+19.8595512,-155.11132076,training,1.0,Diversified Crop,Big Island,2.31611991
+19.86007306,-155.10735808,training,1.0,Tropical Fruits,Big Island,3.1563499
+19.86429933,-155.10860073,training,1.0,Tropical Fruits,Big Island,7.87192011
+19.8639639,-155.11113296,training,1.0,Diversified Crop,Big Island,13.13829994
+19.85064451,-155.12842823,training,1.0,Diversified Crop,Big Island,35.69739914
+19.86301125,-155.09746739,training,1.0,Tropical Fruits,Big Island,10.36320019
+19.86429896,-155.10061184,training,1.0,Banana,Big Island,0.46789101
+19.86482326,-155.10074688,training,1.0,Diversified Crop,Big Island,1.10030997
+19.86383495,-155.10004022,training,1.0,Diversified Crop,Big Island,3.47090006
+19.86470547,-155.10035152,training,1.0,Banana,Big Island,0.14702401
+19.7331945,-155.09484972,training,1.0,Diversified Crop,Big Island,8.02476025
+19.86251922,-155.11821978,training,1.0,Diversified Crop,Big Island,61.47370148
+19.86853369,-155.10808551,training,1.0,Tropical Fruits,Big Island,4.420979979999999
+19.87023334,-155.10852572,training,1.0,Diversified Crop,Big Island,21.1257
+19.87225774,-155.10899323,training,0.0,Flowers / Foliage / Landscape,Big Island,5.23633003
+19.85581408,-155.12477329,training,1.0,Tropical Fruits,Big Island,4.1133399
+19.85442475,-155.12505103,training,1.0,Tropical Fruits,Big Island,0.80829501
+19.87909263,-155.11454689,training,1.0,Macadamia Nuts,Big Island,24.3852005
+19.87968446,-155.12260776,training,1.0,Diversified Crop,Big Island,2.86207008
+19.87781689,-155.12388355,training,1.0,Diversified Crop,Big Island,1.83034003
+19.87821925,-155.12270148,training,1.0,Tropical Fruits,Big Island,1.67194998
+19.87874719,-155.12317278,training,1.0,Diversified Crop,Big Island,2.81911993
+19.86703384,-155.11765327,training,1.0,Tropical Fruits,Big Island,12.64389992
+19.85458744,-155.14700494,training,1.0,Diversified Crop,Big Island,43.79420090000001
+19.83824509,-155.13740818,training,1.0,Diversified Crop,Big Island,25.44400024
+19.87634147,-155.1262608,training,1.0,Diversified Crop,Big Island,8.35216999
+19.85796428,-155.12762325,training,1.0,Diversified Crop,Big Island,13.30210018
+19.87382783,-155.12115335,training,1.0,Diversified Crop,Big Island,9.84471989
+19.87422433,-155.1141141,training,1.0,Tropical Fruits,Big Island,9.36670971
+19.8775999,-155.1189676,training,0.0,Flowers / Foliage / Landscape,Big Island,3.30096006
+19.87036971,-155.12389152,training,1.0,Diversified Crop,Big Island,47.09410095
+19.87295377,-155.11647218,training,1.0,Tropical Fruits,Big Island,2.7190299
+19.87343962,-155.11918708,training,1.0,Diversified Crop,Big Island,5.89713001
+19.87794838,-155.11657124,training,1.0,Tropical Fruits,Big Island,5.53936005
+19.87873287,-155.11862696,training,0.0,Flowers / Foliage / Landscape,Big Island,3.01518011
+19.87696547,-155.11974512,training,1.0,Diversified Crop,Big Island,16.747800830000003
+19.86953834,-155.11866555,training,1.0,Diversified Crop,Big Island,4.16114998
+19.8656034,-155.13282545,training,1.0,Diversified Crop,Big Island,6.53120995
+19.86601546,-155.13084141,training,1.0,Diversified Crop,Big Island,8.81451988
+19.86241686,-155.13524076,training,1.0,Banana,Big Island,12.4048996
+19.86325875,-155.13179936,training,1.0,Diversified Crop,Big Island,19.71990013
+19.86407597,-155.13608503,training,1.0,Diversified Crop,Big Island,17.862300870000002
+19.86664583,-155.12729791,training,1.0,Diversified Crop,Big Island,23.77759933
+19.86178975,-155.13216855,training,1.0,Diversified Crop,Big Island,17.84729958
+19.84474028,-155.14104862,training,0.0,Pasture,Big Island,1105.13000488
+19.86113143,-155.14038995,training,1.0,Diversified Crop,Big Island,31.84560013
+19.85959077,-155.13999866,training,1.0,Diversified Crop,Big Island,13.16749954
+19.85711685,-155.13917623,training,1.0,Banana,Big Island,8.54028034
+19.85056628,-155.14267532,training,1.0,Tropical Fruits,Big Island,4.85956001
+19.85873626,-155.14508885,training,1.0,Tropical Fruits,Big Island,11.3973999
+19.85958545,-155.13831639,training,1.0,Banana,Big Island,3.88548994
+19.85620228,-155.13757404,training,0.0,Pasture,Big Island,258.75799561
+19.85454278,-155.1504008,training,1.0,Diversified Crop,Big Island,17.66950035
+19.87328696,-155.13211419,training,1.0,Tropical Fruits,Big Island,9.60254955
+19.87413328,-155.12985564,training,1.0,Diversified Crop,Big Island,9.15167046
+19.87782588,-155.12713699,training,1.0,Tropical Fruits,Big Island,25.22579956
+19.87947722,-155.12400494,training,1.0,Diversified Crop,Big Island,1.95861995
+19.87912223,-155.12544667,training,1.0,Diversified Crop,Big Island,1.64956999
+19.88027813,-155.12446762,training,0.0,Flowers / Foliage / Landscape,Big Island,6.71186018
+19.87520093,-155.12879248,training,1.0,Tropical Fruits,Big Island,1.64883006
+19.87580042,-155.13064186,training,1.0,Tropical Fruits,Big Island,13.12889957
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+19.87516595,-155.13747166,training,1.0,Tropical Fruits,Big Island,1.68124998
+19.87557483,-155.13968757,training,1.0,Tropical Fruits,Big Island,10.45839977
+19.87091595,-155.13968435,training,1.0,Diversified Crop,Big Island,3.51823997
+19.8722583,-155.14106534,training,1.0,Diversified Crop,Big Island,5.531589980000001
+19.86475261,-155.14941247,training,1.0,Diversified Crop,Big Island,1.90204
+19.86672882,-155.15206902,training,1.0,Tropical Fruits,Big Island,15.62709999
+19.85931515,-155.16010468,training,1.0,Tropical Fruits,Big Island,9.42415047
+19.85936225,-155.15699684,training,1.0,Tropical Fruits,Big Island,5.25309992
+19.85993744,-155.15558769,training,1.0,Tropical Fruits,Big Island,7.41470003
+19.88673452,-155.12478738,training,1.0,Diversified Crop,Big Island,1.60291004
+19.88574575,-155.12453149,training,1.0,Diversified Crop,Big Island,3.20850992
+19.88970383,-155.12292117,training,1.0,Diversified Crop,Big Island,9.33232975
+19.88520466,-155.12741674,training,1.0,Diversified Crop,Big Island,20.22380066
+19.89358674,-155.13018112,training,1.0,Tropical Fruits,Big Island,11.73939991
+19.88925292,-155.12807892,training,1.0,Tropical Fruits,Big Island,9.2119503
+19.89132798,-155.12852656,training,0.0,Flowers / Foliage / Landscape,Big Island,8.5908699
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+19.89166878,-155.13287711,training,1.0,Tropical Fruits,Big Island,6.49538994
+19.88302146,-155.13690081,training,0.0,Flowers / Foliage / Landscape,Big Island,9.24925995
+19.88451878,-155.14170017,training,0.0,Flowers / Foliage / Landscape,Big Island,9.16775036
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+19.88370371,-155.13222329,training,1.0,Tropical Fruits,Big Island,5.61736012
+19.88867901,-155.13881692,training,1.0,Tropical Fruits,Big Island,21.65069962
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+19.88510573,-155.13793617,training,0.0,Flowers / Foliage / Landscape,Big Island,4.31287003
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+19.88247965,-155.14050172,training,1.0,Tropical Fruits,Big Island,3.68930006
+19.88706586,-155.13971469,training,0.0,Flowers / Foliage / Landscape,Big Island,9.57133007
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+19.8922692,-155.1272243,training,0.0,Flowers / Foliage / Landscape,Big Island,8.29203033
+19.88970702,-155.13104976,training,1.0,Diversified Crop,Big Island,8.33049965
+19.88646485,-155.13529212,training,1.0,Diversified Crop,Big Island,13.66530037
+19.88504275,-155.13128733,training,1.0,Diversified Crop,Big Island,14.92599964
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+19.88739881,-155.12906732,training,1.0,Diversified Crop,Big Island,2.62062001
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+19.87781079,-155.14523472,training,1.0,Diversified Crop,Big Island,6.47799015
+19.870369,-155.15623256,training,1.0,Tropical Fruits,Big Island,39.09019852
+19.87158958,-155.14891478,training,1.0,Diversified Crop,Big Island,1.07576001
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+19.87078707,-155.15218759,training,0.0,Flowers / Foliage / Landscape,Big Island,8.81079006
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+19.89261355,-155.13144726,training,1.0,Diversified Crop,Big Island,10.42800045
+19.89602405,-155.13120549,training,0.0,Flowers / Foliage / Landscape,Big Island,15.65390015
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+19.89427417,-155.13717658,training,1.0,Diversified Crop,Big Island,7.51247978
+19.89134378,-155.13674316,training,1.0,Diversified Crop,Big Island,6.45918989
+19.8940422,-155.13474516,training,0.0,Flowers / Foliage / Landscape,Big Island,3.13807988
+19.88615716,-155.14088745,training,1.0,Tropical Fruits,Big Island,10.13630009
+19.88072032,-155.15258146,training,1.0,Tropical Fruits,Big Island,19.67420006
+19.89109391,-155.17879748,training,0.0,Commercial Forestry,Big Island,42.08840179
+19.89115907,-155.17409784,training,0.0,Commercial Forestry,Big Island,40.98210144
+19.89478684,-155.17211418,training,0.0,Commercial Forestry,Big Island,35.829700470000006
+19.8948959,-155.16571253,training,0.0,Commercial Forestry,Big Island,13.759699820000002
+19.89730348,-155.16555326,training,0.0,Commercial Forestry,Big Island,22.30739975
+19.89914484,-155.16242984,training,0.0,Commercial Forestry,Big Island,48.9856987
+19.90175343,-155.15674354,training,0.0,Commercial Forestry,Big Island,64.85520172
+19.89305493,-155.1561871,training,0.0,Pasture,Big Island,836.0670166
+19.90094852,-155.13220886,training,1.0,Diversified Crop,Big Island,13.56140041
+19.90093589,-155.14450559,training,1.0,Diversified Crop,Big Island,4.42147017
+19.90327048,-155.14846614,training,1.0,Diversified Crop,Big Island,15.97070026
+19.90415173,-155.14556127,training,1.0,Diversified Crop,Big Island,1.43935001
+19.90903182,-155.13999705,training,1.0,Macadamia Nuts,Big Island,1.02968001
+19.91073653,-155.13980021,training,0.0,Flowers / Foliage / Landscape,Big Island,9.72239017
+19.90921237,-155.15343783,training,1.0,Tropical Fruits,Big Island,8.07781029
+19.91055475,-155.14986052,training,1.0,Tropical Fruits,Big Island,2.83872008
+19.91233074,-155.14693261,training,1.0,Tropical Fruits,Big Island,5.08421993
+19.90867937,-155.1475171,training,1.0,Tropical Fruits,Big Island,13.77569962
+19.91055055,-155.14331895,training,1.0,Tropical Fruits,Big Island,14.15359974
+19.91456027,-155.14337612,training,1.0,Tropical Fruits,Big Island,8.27958965
+19.9128188,-155.1414817,training,0.0,Flowers / Foliage / Landscape,Big Island,15.38529968
+19.91363414,-155.14072351,training,1.0,Diversified Crop,Big Island,5.41965008
+19.90874642,-155.15489243,training,1.0,Tropical Fruits,Big Island,2.23442006
+19.91488476,-155.19026837,training,0.0,Pasture,Big Island,4863.27001953
+19.90964753,-155.1581612,training,1.0,Diversified Crop,Big Island,13.94890022
+19.9079133,-155.15296138,training,1.0,Diversified Crop,Big Island,3.90032005
+19.91362384,-155.14824136,training,1.0,Diversified Crop,Big Island,13.50199986
+19.91750101,-155.15106389,training,0.0,Pasture,Big Island,13.75339985
+19.9328312,-155.20450464,training,0.0,Commercial Forestry,Big Island,14.20569992
+19.93566726,-155.20141273,training,0.0,Commercial Forestry,Big Island,23.72699928
+19.93997843,-155.19773025,training,0.0,Commercial Forestry,Big Island,40.34759903
+19.94430861,-155.19250234,training,0.0,Commercial Forestry,Big Island,17.7432003
+19.94024796,-155.19453048,training,0.0,Commercial Forestry,Big Island,14.28800011
+19.93359997,-155.20047654,training,0.0,Commercial Forestry,Big Island,27.88990021
+19.92767933,-155.20057433,training,0.0,Commercial Forestry,Big Island,14.94779968
+19.92994835,-155.19956377,training,0.0,Commercial Forestry,Big Island,31.92819977
+19.93420889,-155.19668052,training,0.0,Commercial Forestry,Big Island,49.35929871
+19.94154891,-155.1911806,training,0.0,Commercial Forestry,Big Island,43.3302002
+19.94518501,-155.18737024,training,0.0,Commercial Forestry,Big Island,14.35319996
+19.93039474,-155.19581681,training,0.0,Commercial Forestry,Big Island,35.630901339999994
+19.92691345,-155.19380777,training,0.0,Commercial Forestry,Big Island,67.05539703000001
+19.93208584,-155.19239996,training,0.0,Commercial Forestry,Big Island,47.81710052
+19.9374206,-155.1894123,training,0.0,Commercial Forestry,Big Island,46.30379868
+19.93368385,-155.18841645,training,0.0,Commercial Forestry,Big Island,32.57369995
+19.93778562,-155.1854368,training,0.0,Commercial Forestry,Big Island,34.44520187
+19.94150796,-155.18192199,training,0.0,Commercial Forestry,Big Island,34.36220169
+19.94486587,-155.17953313,training,0.0,Commercial Forestry,Big Island,11.9467001
+19.94387804,-155.1782891,training,0.0,Commercial Forestry,Big Island,2.20857
+19.94704629,-155.18384952,training,1.0,Diversified Crop,Big Island,5.24473
+19.92973703,-155.16200204,training,1.0,Diversified Crop,Big Island,8.36131001
+19.92454222,-155.16974371,training,1.0,Diversified Crop,Big Island,7.66695976
+19.92648582,-155.16830361,training,1.0,Diversified Crop,Big Island,19.21990013
+19.9367296,-155.16960688,training,1.0,Tropical Fruits,Big Island,3.61866999
+19.9373921,-155.17033127,training,1.0,Tropical Fruits,Big Island,3.9049499
+19.93602818,-155.16930533,training,1.0,Tropical Fruits,Big Island,0.70181799
+19.9380945,-155.17732147,training,1.0,Tropical Fruits,Big Island,13.9296999
+19.93865802,-155.17852786,training,1.0,Tropical Fruits,Big Island,4.43282986
+19.93530393,-155.18393387,training,1.0,Tropical Fruits,Big Island,7.21271992
+19.9281504,-155.21024969,training,1.0,Tropical Fruits,Big Island,0.88416201
+19.93025305,-155.20664939,training,1.0,Tropical Fruits,Big Island,0.83084297
+19.9305906,-155.20622421,training,1.0,Tropical Fruits,Big Island,0.88450301
+19.93128425,-155.20615254,training,1.0,Tropical Fruits,Big Island,1.22554004
+19.92993523,-155.20807641,training,1.0,Tropical Fruits,Big Island,7.67381001
+19.92858199,-155.2093309,training,1.0,Tropical Fruits,Big Island,1.81184995
+19.92975647,-155.20741207,training,1.0,Tropical Fruits,Big Island,1.10105002
+19.94906634,-155.19491975,training,1.0,Tropical Fruits,Big Island,1.64102006
+19.94926065,-155.19243112,training,1.0,Tropical Fruits,Big Island,3.66619992
+19.95067842,-155.193748,training,1.0,Banana,Big Island,1.91726995
+19.9490304,-155.19350234,training,1.0,Tropical Fruits,Big Island,3.53183007
+19.9523161,-155.18959627,training,1.0,Tropical Fruits,Big Island,13.01299953
+19.94888611,-155.19136772,training,1.0,Tropical Fruits,Big Island,2.72701001
+19.95033863,-155.19127701,training,1.0,Tropical Fruits,Big Island,2.86286998
+19.95016084,-155.18261245,training,1.0,Tropical Fruits,Big Island,1.87674999
+19.94272967,-155.22772255,training,0.0,Commercial Forestry,Big Island,12.68280029
+19.94407543,-155.22518729,training,0.0,Commercial Forestry,Big Island,20.28849983
+19.94412099,-155.22192167,training,0.0,Commercial Forestry,Big Island,15.17459965
+19.94597505,-155.22111124,training,0.0,Commercial Forestry,Big Island,37.30080032
+19.94256865,-155.22335811,training,0.0,Commercial Forestry,Big Island,4.94077015
+19.94326427,-155.21878183,training,0.0,Commercial Forestry,Big Island,42.57490158
+19.96117218,-155.20722698,training,0.0,Commercial Forestry,Big Island,50.00139999
+19.96021206,-155.20458408,training,0.0,Commercial Forestry,Big Island,62.40850067
+19.96000978,-155.20072888,training,0.0,Commercial Forestry,Big Island,18.37260056
+19.95727975,-155.20470685,training,0.0,Commercial Forestry,Big Island,18.41250038
+19.95573815,-155.20277928,training,0.0,Commercial Forestry,Big Island,36.63579941
+19.95145042,-155.20846081,training,1.0,Tropical Fruits,Big Island,45.45970154
+19.95615026,-155.21547447,training,1.0,Tropical Fruits,Big Island,8.736920360000001
+19.95438927,-155.20047392,training,1.0,Diversified Crop,Big Island,42.51549911
+19.95487755,-155.21395628,training,1.0,Tropical Fruits,Big Island,5.35371017
+19.95906192,-155.19872216,training,1.0,Diversified Crop,Big Island,7.31940985
+19.96453756,-155.21050405,training,0.0,Commercial Forestry,Big Island,46.51050186
+19.96253018,-155.21004335,training,0.0,Commercial Forestry,Big Island,42.29470062
+19.95238596,-155.21135489,training,1.0,Diversified Crop,Big Island,39.250198360000006
+19.9519444,-155.21809236,training,1.0,Diversified Crop,Big Island,25.828899380000003
+19.94816275,-155.21236223,training,1.0,Tropical Fruits,Big Island,4.06917
+19.95824915,-155.23975836,training,0.0,Pasture,Big Island,3946.37011719
+19.94348762,-155.20983675,training,1.0,Diversified Crop,Big Island,233.50300598
+19.97382349,-155.21378056,training,1.0,Diversified Crop,Big Island,5.35901022
+19.97064661,-155.2088403,training,1.0,Diversified Crop,Big Island,3.75906992
+19.97244074,-155.21179498,training,1.0,Diversified Crop,Big Island,15.29230022
+19.9635646,-155.24042917,training,1.0,Tropical Fruits,Big Island,1.21984994
+19.96181888,-155.2397708,training,1.0,Tropical Fruits,Big Island,2.62646008
+19.96225591,-155.24058194,training,1.0,Tropical Fruits,Big Island,1.17517996
+19.96233066,-155.23976559,training,1.0,Tropical Fruits,Big Island,0.59063703
+19.96094959,-155.23967551,training,1.0,Tropical Fruits,Big Island,0.67586499
+19.96149742,-155.23913544,training,1.0,Tropical Fruits,Big Island,1.71515
+19.96845346,-155.24694489,training,1.0,Tropical Fruits,Big Island,12.16720009
+19.97418767,-155.2308945,training,1.0,Tropical Fruits,Big Island,16.2147007
+19.97285503,-155.26522243,training,0.0,Commercial Forestry,Big Island,14.61709976
+19.97097024,-155.26338432,training,0.0,Commercial Forestry,Big Island,20.41080093
+19.97018856,-155.26175891,training,0.0,Commercial Forestry,Big Island,6.65904999
+19.96910991,-155.26125618,training,0.0,Commercial Forestry,Big Island,4.527349950000001
+19.96943769,-155.25905529,training,0.0,Commercial Forestry,Big Island,20.34690094
+19.96581814,-155.26155961,training,0.0,Commercial Forestry,Big Island,79.70709991
+19.962693,-155.26264919,training,0.0,Commercial Forestry,Big Island,7.973110200000001
+19.9671906,-155.26506449,training,0.0,Commercial Forestry,Big Island,9.97496986
+19.96894406,-155.26450905,training,0.0,Commercial Forestry,Big Island,3.01114011
+19.97848182,-155.27542223,training,0.0,Commercial Forestry,Big Island,61.332901
+19.98634111,-155.2696271,training,0.0,Commercial Forestry,Big Island,43.20819855
+19.98684352,-155.27152656,training,0.0,Commercial Forestry,Big Island,27.74990082
+19.99040643,-155.26696674,training,0.0,Commercial Forestry,Big Island,6.74658012
+19.99275425,-155.26790489,training,0.0,Commercial Forestry,Big Island,24.47500038
+19.99272567,-155.26580995,training,0.0,Commercial Forestry,Big Island,1.23085999
+19.99132086,-155.26503767,training,0.0,Commercial Forestry,Big Island,22.54140091
+19.98712989,-155.26296615,training,0.0,Commercial Forestry,Big Island,6.518219950000001
+19.97562878,-155.26956591,training,0.0,Commercial Forestry,Big Island,37.39300156
+19.98013397,-155.26323906,training,0.0,Commercial Forestry,Big Island,46.01229858
+19.98146448,-155.26477537,training,0.0,Commercial Forestry,Big Island,27.23450089
+19.98854543,-155.25836701,training,0.0,Commercial Forestry,Big Island,51.14210129
+19.99284414,-155.25241626,training,0.0,Commercial Forestry,Big Island,17.95359993
+19.98898765,-155.2520882,training,0.0,Commercial Forestry,Big Island,60.26060104
+19.98505358,-155.25820643,training,0.0,Commercial Forestry,Big Island,60.26910019
+19.98333388,-155.25597295,training,0.0,Commercial Forestry,Big Island,39.74359894
+19.98116763,-155.2374649,training,1.0,Tropical Fruits,Big Island,12.38840008
+19.98157404,-155.24046915,training,1.0,Diversified Crop,Big Island,3.77147007
+19.98234633,-155.23954237,training,1.0,Tropical Fruits,Big Island,8.25951958
+19.9797676,-155.23905272,training,1.0,Diversified Crop,Big Island,0.604523
+19.97954945,-155.24997116,training,0.0,Pasture,Big Island,313.00900269
+19.9740738,-155.26267394,training,0.0,Pasture,Big Island,1.10508001
+19.99965098,-155.25379827,training,0.0,Pasture,Big Island,52.51900101
+19.98580016,-155.26856588,training,0.0,Commercial Forestry,Big Island,5.150340079999999
+19.96994201,-155.27216505,training,0.0,Commercial Forestry,Big Island,32.283100129999994
+19.96821651,-155.27849741,training,0.0,Pasture,Big Island,214.03300476
+19.97492736,-155.28206892,training,0.0,Pasture,Big Island,290.01599121
+19.95231683,-155.52119128,training,0.0,Pasture,Big Island,146452.0
+19.96728665,-155.27326771,training,0.0,Pasture,Big Island,2.32570004
+20.01734037,-155.29818255,training,0.0,Commercial Forestry,Big Island,86.00389862
+20.01544303,-155.29016643,training,0.0,Commercial Forestry,Big Island,32.1609993
+20.01588743,-155.29198364,training,0.0,Commercial Forestry,Big Island,36.87480164
+20.01447862,-155.2885963,training,0.0,Commercial Forestry,Big Island,28.8973999
+20.0103831,-155.28773237,training,0.0,Commercial Forestry,Big Island,1.24659002
+20.01069073,-155.28943391,training,0.0,Commercial Forestry,Big Island,0.636204
+20.01922131,-155.28786459,training,0.0,Commercial Forestry,Big Island,15.62619972
+20.00755907,-155.30286117,training,0.0,Commercial Forestry,Big Island,27.57379913
+20.0077537,-155.30096817,training,0.0,Commercial Forestry,Big Island,24.18359947
+19.99971295,-155.30597538,training,0.0,Commercial Forestry,Big Island,39.19279861
+20.00036583,-155.30781602,training,0.0,Commercial Forestry,Big Island,49.82009888
+19.9947209,-155.31077649,training,0.0,Commercial Forestry,Big Island,15.29710007
+19.99463265,-155.31257763,training,0.0,Commercial Forestry,Big Island,7.75999022
+19.99366867,-155.30924509,training,0.0,Commercial Forestry,Big Island,23.65870094
+19.99351116,-155.30766149,training,0.0,Commercial Forestry,Big Island,8.0380497
+19.99039011,-155.30604533,training,0.0,Commercial Forestry,Big Island,34.293399810000004
+19.98953616,-155.30444926,training,0.0,Commercial Forestry,Big Island,6.41203022
+19.99666036,-155.30155506,training,0.0,Commercial Forestry,Big Island,55.47200012
+19.99884308,-155.30341835,training,0.0,Commercial Forestry,Big Island,30.63150024
+20.00029878,-155.30143363,training,0.0,Commercial Forestry,Big Island,16.83819962
+20.00469003,-155.29961772,training,0.0,Commercial Forestry,Big Island,12.95639992
+20.00583519,-155.29790894,training,0.0,Commercial Forestry,Big Island,25.99970055
+19.99993559,-155.2972416,training,0.0,Commercial Forestry,Big Island,14.0532999
+20.00803884,-155.29494038,training,0.0,Commercial Forestry,Big Island,43.18289948
+20.00705666,-155.29353529,training,0.0,Commercial Forestry,Big Island,39.63249969
+20.00389086,-155.29335836,training,0.0,Commercial Forestry,Big Island,35.47750092
+20.00484706,-155.29176866,training,0.0,Commercial Forestry,Big Island,23.47019958
+20.00575674,-155.28981446,training,0.0,Commercial Forestry,Big Island,28.11330032
+20.00574181,-155.28833643,training,0.0,Commercial Forestry,Big Island,21.97789955
+20.01186793,-155.28861011,training,0.0,Commercial Forestry,Big Island,7.41318989
+19.93346384,-155.30689881,training,0.0,Pasture,Big Island,1227.52001953
+20.0128827,-155.30872648,training,1.0,Tropical Fruits,Big Island,4.39067984
+20.02295578,-155.31436897,training,0.0,Commercial Forestry,Big Island,79.04109955
+20.02834985,-155.31266627,training,0.0,Commercial Forestry,Big Island,31.59530067
+20.02635397,-155.30715412,training,0.0,Commercial Forestry,Big Island,17.7954998
+20.02166925,-155.30946138,training,0.0,Commercial Forestry,Big Island,48.93450165
+20.02467913,-155.30272229,training,0.0,Commercial Forestry,Big Island,11.83119965
+20.02051499,-155.30281534,training,0.0,Commercial Forestry,Big Island,97.34780121
+19.99956202,-155.34846385,training,0.0,Commercial Forestry,Big Island,51.350700380000006
+20.00599494,-155.34685509,training,0.0,Commercial Forestry,Big Island,19.260299680000003
+19.99923291,-155.35354516,training,0.0,Commercial Forestry,Big Island,10.84049988
+20.00566339,-155.34972668,training,0.0,Commercial Forestry,Big Island,45.37070084
+20.00211061,-155.35295048,training,0.0,Commercial Forestry,Big Island,26.3314991
+20.00594347,-155.35246869,training,0.0,Commercial Forestry,Big Island,16.71240044
+20.01045369,-155.3502942,training,0.0,Commercial Forestry,Big Island,54.64780045
+20.01419236,-155.34607248,training,0.0,Commercial Forestry,Big Island,88.62840271
+20.01287646,-155.34342854,training,0.0,Commercial Forestry,Big Island,32.293598180000004
+20.02009619,-155.3427475,training,0.0,Commercial Forestry,Big Island,40.38800049
+20.00219728,-155.35790321,training,0.0,Commercial Forestry,Big Island,66.87000275
+20.00987636,-155.35370354,training,0.0,Commercial Forestry,Big Island,48.87340164
+20.00943428,-155.3564935,training,0.0,Commercial Forestry,Big Island,66.82369995
+20.01962288,-155.35059459,training,0.0,Commercial Forestry,Big Island,42.04320145
+20.02116898,-155.33872296,training,0.0,Commercial Forestry,Big Island,9.61732006
+20.02192409,-155.33681562,training,0.0,Commercial Forestry,Big Island,21.20709991
+20.02186873,-155.33536301,training,0.0,Commercial Forestry,Big Island,6.164110180000001
+20.0200606,-155.33541468,training,0.0,Commercial Forestry,Big Island,3.45005012
+20.02098728,-155.33294787,training,0.0,Commercial Forestry,Big Island,24.08410072
+20.01741797,-155.33537124,training,0.0,Commercial Forestry,Big Island,3.3078599
+20.01381216,-155.33301316,training,0.0,Commercial Forestry,Big Island,12.96930027
+20.01835667,-155.33184544,training,0.0,Commercial Forestry,Big Island,32.939399720000004
+20.01857713,-155.32993002,training,0.0,Commercial Forestry,Big Island,34.13180161
+20.02067455,-155.32753333,training,0.0,Commercial Forestry,Big Island,5.42392015
+20.01991252,-155.32452634,training,0.0,Commercial Forestry,Big Island,3.39126992
+19.99198729,-155.32748416,training,0.0,Commercial Forestry,Big Island,18.66939926
+19.9945658,-155.32244267,training,0.0,Commercial Forestry,Big Island,16.863599779999998
+19.99546593,-155.32366917,training,0.0,Commercial Forestry,Big Island,32.37200165
+19.99574283,-155.32639225,training,0.0,Commercial Forestry,Big Island,25.5590992
+20.00433704,-155.32469723,training,0.0,Commercial Forestry,Big Island,62.09019852
+20.01325029,-155.3218931,training,0.0,Commercial Forestry,Big Island,34.25299835
+20.00988748,-155.32402272,training,0.0,Commercial Forestry,Big Island,2.85257006
+20.01546636,-155.32249551,training,0.0,Commercial Forestry,Big Island,3.25533009
+20.00848335,-155.31479622,training,0.0,Commercial Forestry,Big Island,24.80719948
+20.00976633,-155.31288743,training,0.0,Commercial Forestry,Big Island,21.89559937
+20.00560233,-155.31417539,training,0.0,Commercial Forestry,Big Island,14.98999977
+20.00188577,-155.3164713,training,0.0,Commercial Forestry,Big Island,23.03120041
+20.00208193,-155.31192302,training,0.0,Commercial Forestry,Big Island,7.36383009
+20.00186555,-155.31423395,training,0.0,Commercial Forestry,Big Island,9.48801994
+20.00514269,-155.30955795,training,0.0,Commercial Forestry,Big Island,5.48883009
+20.00911693,-155.30923069,training,0.0,Commercial Forestry,Big Island,19.24850082
+20.00876367,-155.30777929,training,0.0,Commercial Forestry,Big Island,25.03370094
+20.00849006,-155.30559258,training,0.0,Commercial Forestry,Big Island,45.44630051
+20.00266567,-155.30953187,training,0.0,Commercial Forestry,Big Island,9.91436958
+20.01710527,-155.34834478,training,0.0,Commercial Forestry,Big Island,63.14599991
+19.14302352,-155.85856233,training,1.0,Macadamia Nuts,Big Island,1584.82995605
+19.17297748,-155.86779171,training,1.0,Macadamia Nuts,Big Island,86.33229828
+19.17107089,-155.86436139,training,1.0,Macadamia Nuts,Big Island,7.11245012
+19.18153421,-155.85962823,training,1.0,Macadamia Nuts,Big Island,4.42492008
+19.18125626,-155.85805184,training,1.0,Macadamia Nuts,Big Island,12.21730042
+19.18728943,-155.85828573,training,1.0,Macadamia Nuts,Big Island,15.6633997
+19.19464432,-155.86834702,training,1.0,Coffee,Big Island,2.67442012
+19.19366389,-155.87144745,training,1.0,Macadamia Nuts,Big Island,7.34648991
+19.19379863,-155.87041365,training,1.0,Macadamia Nuts,Big Island,7.43620014
+19.19596098,-155.86648942,training,1.0,Tropical Fruits,Big Island,6.11268997
+19.19351829,-155.86839407,training,1.0,Coffee,Big Island,2.79306006
+19.18646733,-155.86520685,training,1.0,Diversified Crop,Big Island,2.07428002
+19.18863842,-155.8606251,training,1.0,Coffee,Big Island,8.08798981
+19.16590302,-155.86371659,training,0.0,Pasture,Big Island,13.43350029
+19.19383252,-155.86186454,training,1.0,Macadamia Nuts,Big Island,0.60373902
+19.19473602,-155.85654193,training,1.0,Coffee,Big Island,1.34020996
+19.1949092,-155.86190522,training,1.0,Macadamia Nuts,Big Island,0.57625699
+19.1959007,-155.85670263,training,1.0,Macadamia Nuts,Big Island,2.21181989
+19.19624934,-155.85941155,training,1.0,Coffee,Big Island,1.26344001
+19.19899342,-155.86984086,training,1.0,Coffee,Big Island,7.13138008
+19.20203063,-155.85709023,training,1.0,Coffee,Big Island,12.15299988
+19.20148557,-155.86105106,training,1.0,Macadamia Nuts,Big Island,12.20219994
+19.20428727,-155.87195201,training,1.0,Macadamia Nuts,Big Island,56.23770141999999
+19.20239988,-155.8618963,training,1.0,Macadamia Nuts,Big Island,13.88829994
+19.2029582,-155.86293865,training,1.0,Macadamia Nuts,Big Island,11.44050026
+19.20482377,-155.86004935,training,1.0,Coffee,Big Island,6.0809598
+19.2042415,-155.87534901,training,1.0,Macadamia Nuts,Big Island,10.95189953
+19.20726406,-155.86251556,training,1.0,Macadamia Nuts,Big Island,27.51659966
+19.2073715,-155.86020011,training,1.0,Macadamia Nuts,Big Island,4.04307985
+19.20815557,-155.86889562,training,1.0,Macadamia Nuts,Big Island,6.07012987
+19.21085864,-155.86150927,training,1.0,Coffee,Big Island,6.75695992
+19.20571995,-155.85784507,training,1.0,Coffee,Big Island,13.60630035
+19.20873107,-155.86146355,training,1.0,Coffee,Big Island,5.45238018
+19.20910353,-155.86668371,training,1.0,Macadamia Nuts,Big Island,5.62040997
+19.20206285,-155.86913662,training,1.0,Macadamia Nuts,Big Island,1.58781004
+19.2074992,-155.87304576,training,1.0,Macadamia Nuts,Big Island,5.31282997
+19.20788115,-155.87620827,training,1.0,Macadamia Nuts,Big Island,10.92179966
+19.19767436,-155.8740706,training,1.0,Macadamia Nuts,Big Island,15.7045002
+19.20173633,-155.86913241,training,1.0,Coffee,Big Island,0.93969703
+19.20691809,-155.8659911,training,1.0,Macadamia Nuts,Big Island,7.76734018
+19.20751159,-155.8582613,training,1.0,Macadamia Nuts,Big Island,4.722300049999999
+19.19487598,-155.86426268,training,1.0,Macadamia Nuts,Big Island,4.70654011
+19.20469807,-155.86147244,training,1.0,Coffee,Big Island,2.16353011
+19.20401025,-155.85802473,training,1.0,Diversified Crop,Big Island,2.63612008
+19.20852147,-155.85993426,training,1.0,Coffee,Big Island,1.07617998
+19.2085017,-155.85602369,training,1.0,Coffee,Big Island,4.64893007
+19.21255639,-155.86509812,training,1.0,Macadamia Nuts,Big Island,6.7544899
+19.21304016,-155.86247644,training,1.0,Macadamia Nuts,Big Island,6.6768899
+19.21410412,-155.86042227,training,1.0,Macadamia Nuts,Big Island,12.65789986
+19.2135507,-155.85935028,training,1.0,Coffee,Big Island,4.40357018
+19.20969778,-155.86235234,training,1.0,Coffee,Big Island,0.47893101
+19.2103417,-155.86434922,training,1.0,Coffee,Big Island,7.80413008
+19.20892984,-155.87010421,training,1.0,Macadamia Nuts,Big Island,4.50231981
+19.21132062,-155.8672733,training,1.0,Coffee,Big Island,6.3538599
+19.2044107,-155.86912572,training,0.0,Pasture,Big Island,2.97036004
+19.2003624,-155.87480395,training,0.0,Pasture,Big Island,93.83499908
+19.20083259,-155.8709121,training,1.0,Coffee,Big Island,3.59439993
+19.19795093,-155.87178651,training,1.0,Coffee,Big Island,2.95906997
+19.20687237,-155.86480444,training,1.0,Macadamia Nuts,Big Island,5.18052006
+19.20653123,-155.86980333,training,0.0,Pasture,Big Island,13.58899975
+19.2084934,-155.86576773,training,1.0,Coffee,Big Island,2.79035997
+19.20980016,-155.86583967,training,1.0,Macadamia Nuts,Big Island,4.622270110000001
+19.21206939,-155.88148723,training,1.0,Coffee,Big Island,2.93855
+19.21216876,-155.87743096,training,1.0,Macadamia Nuts,Big Island,2.75395989
+19.21385526,-155.87747983,training,1.0,Macadamia Nuts,Big Island,2.42047
+19.21210729,-155.88285678,training,1.0,Macadamia Nuts,Big Island,2.9179399
+19.18122998,-155.86184182,training,0.0,Pasture,Big Island,32.30619812
+19.21555453,-155.86646454,training,1.0,Macadamia Nuts,Big Island,27.60750008
+19.21682806,-155.870911,training,1.0,Macadamia Nuts,Big Island,2.71118999
+19.22768852,-155.87216718,training,1.0,Macadamia Nuts,Big Island,12.68260002
+19.2006026,-155.85352473,training,1.0,Macadamia Nuts,Big Island,115.06800079
+19.27214269,-155.87652935,training,1.0,Coffee,Big Island,3.36002994
+19.27232667,-155.86763133,training,1.0,Macadamia Nuts,Big Island,45.4469986
+19.27659343,-155.87484846,training,1.0,Macadamia Nuts,Big Island,2.35598993
+19.25733403,-155.84426959,training,0.0,Pasture,Big Island,308.33700562
+19.27533336,-155.86523256,training,1.0,Macadamia Nuts,Big Island,0.39976799
+19.27961416,-155.87270082,training,1.0,Macadamia Nuts,Big Island,7.010489939999999
+19.2824997,-155.87163166,training,1.0,Macadamia Nuts,Big Island,6.57244015
+19.28392438,-155.87514842,training,1.0,Macadamia Nuts,Big Island,12.89220047
+19.28686327,-155.87482074,training,1.0,Macadamia Nuts,Big Island,9.39377975
+19.28201376,-155.86876747,training,1.0,Coffee,Big Island,13.09749985
+19.28035304,-155.86811057,training,1.0,Macadamia Nuts,Big Island,6.66260004
+19.28344044,-155.87244841,training,1.0,Macadamia Nuts,Big Island,1.95183003
+19.28845086,-155.87205129,training,1.0,Macadamia Nuts,Big Island,2.79712009
+19.28674532,-155.87211466,training,1.0,Macadamia Nuts,Big Island,5.88594007
+19.28272719,-155.86724563,training,1.0,Macadamia Nuts,Big Island,2.39898992
+19.27892645,-155.87481026,training,1.0,Coffee,Big Island,1.13990998
+19.28987966,-155.87166025,training,1.0,Macadamia Nuts,Big Island,5.60905981
+19.29228195,-155.87192612,training,1.0,Macadamia Nuts,Big Island,9.68216038
+19.29533438,-155.86113773,training,1.0,Macadamia Nuts,Big Island,2.5927
+19.29469914,-155.87241735,training,1.0,Macadamia Nuts,Big Island,14.78349972
+19.29534699,-155.86872638,training,1.0,Coffee,Big Island,5.67343998
+19.29418312,-155.8691636,training,1.0,Coffee,Big Island,8.22947025
+19.29377179,-155.86274132,training,1.0,Coffee,Big Island,20.62730026
+19.29710168,-155.87247857,training,1.0,Coffee,Big Island,6.685880180000001
+19.2984676,-155.87300922,training,1.0,Coffee,Big Island,1.73484004
+19.30365869,-155.86901697,training,1.0,Coffee,Big Island,3.34021997
+19.31476192,-155.86645169,training,1.0,Macadamia Nuts,Big Island,2.7458601
+19.30463839,-155.86969994,training,1.0,Coffee,Big Island,11.99909973
+19.30807313,-155.86897138,training,1.0,Coffee,Big Island,7.14949989
+19.31570564,-155.87286055,training,1.0,Coffee,Big Island,1.24522996
+19.31230265,-155.87226372,training,1.0,Coffee,Big Island,0.66687298
+19.31357393,-155.87122712,training,1.0,Tropical Fruits,Big Island,1.02148998
+19.31339291,-155.87315409,training,1.0,Coffee,Big Island,10.20030022
+19.31772798,-155.86685998,training,1.0,Coffee,Big Island,4.15206003
+19.31818525,-155.87002685,training,1.0,Coffee,Big Island,11.37339973
+19.31929814,-155.86115451,training,1.0,Macadamia Nuts,Big Island,9.10634041
+19.33587757,-155.86595644,training,1.0,Coffee,Big Island,169.42900085
+19.33895757,-155.87536303,training,1.0,Tropical Fruits,Big Island,4.74306011
+19.33987724,-155.87361156,training,1.0,Coffee,Big Island,1.45286
+19.33987562,-155.87512199,training,1.0,Tropical Fruits,Big Island,2.16489005
+19.33916634,-155.8732836,training,1.0,Tropical Fruits,Big Island,1.29512
+19.34431862,-155.86714307,training,1.0,Macadamia Nuts,Big Island,76.39459991
+19.34666041,-155.87364831,training,1.0,Macadamia Nuts,Big Island,6.37366009
+19.34754526,-155.86451196,training,1.0,Macadamia Nuts,Big Island,3.49173999
+19.34431318,-155.87389771,training,1.0,Coffee,Big Island,2.83855009
+19.34280313,-155.8712381,training,1.0,Macadamia Nuts,Big Island,6.0823698
+19.34255877,-155.86729007,training,1.0,Macadamia Nuts,Big Island,2.49013996
+19.31709318,-155.86246025,training,1.0,Coffee,Big Island,5.115280149999999
+19.32005165,-155.86714768,training,0.0,Pasture,Big Island,6.742640020000001
+19.32081815,-155.87290317,training,0.0,Pasture,Big Island,1.55259001
+19.14949236,-155.88284782,training,0.0,Pasture,Big Island,4455.27001953
+19.22278215,-155.86742791,training,0.0,Pasture,Big Island,362.32501221
+19.33143201,-155.87700365,training,0.0,Pasture,Big Island,350.56900024000004
+19.36129489,-155.88371441,training,0.0,Pasture,Big Island,1202.2800293
+19.38904139,-155.89061084,training,0.0,Pasture,Big Island,1598.54003906
+19.34721693,-155.86895198,training,1.0,Coffee,Big Island,17.447500230000003
+19.34543422,-155.86976023,training,1.0,Macadamia Nuts,Big Island,2.11310005
+19.35117033,-155.87370339,training,1.0,Macadamia Nuts,Big Island,32.15179825
+19.35162742,-155.86603442,training,1.0,Coffee,Big Island,2.32920003
+19.36002718,-155.87415097,training,1.0,Macadamia Nuts,Big Island,21.07760048
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+19.37274058,-155.87874188,training,1.0,Macadamia Nuts,Big Island,3.18376994
+19.37725933,-155.87443641,training,1.0,Coffee,Big Island,2.02866006
+19.38498336,-155.87692672,training,1.0,Coffee,Big Island,0.99199998
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+19.41697092,-155.87212524,training,1.0,Diversified Crop,Big Island,13.90040016
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+19.44507419,-155.89029583,training,1.0,Coffee,Big Island,8.62983036
+19.44111224,-155.88834995,training,1.0,Macadamia Nuts,Big Island,2.97634006
+19.44591804,-155.88679407,training,1.0,Macadamia Nuts,Big Island,5.44595003
+19.44081787,-155.88989259,training,1.0,Tropical Fruits,Big Island,4.379479890000001
+19.443811,-155.89118493,training,1.0,Coffee,Big Island,4.10860014
+19.44018996,-155.88905949,training,1.0,Macadamia Nuts,Big Island,1.03302002
+19.44582371,-155.88222606,training,1.0,Coffee,Big Island,3.47836995
+19.4464401,-155.87837842,training,1.0,Macadamia Nuts,Big Island,2.88825011
+19.44733659,-155.87537847,training,1.0,Coffee,Big Island,3.95810008
+19.44775843,-155.87584091,training,1.0,Coffee,Big Island,1.14838004
+19.44886264,-155.89190864,training,1.0,Macadamia Nuts,Big Island,2.04137993
+19.44928134,-155.88960337,training,1.0,Macadamia Nuts,Big Island,1.12925994
+19.44606544,-155.88886123,training,1.0,Coffee,Big Island,0.99585599
+19.44806246,-155.88687088,training,1.0,Macadamia Nuts,Big Island,14.83549976
+19.44684794,-155.8873133,training,1.0,Coffee,Big Island,7.83244991
+19.44976248,-155.88648943,training,1.0,Coffee,Big Island,5.77892017
+19.44558735,-155.89322989,training,1.0,Macadamia Nuts,Big Island,1.93000996
+19.44670424,-155.89213018,training,1.0,Coffee,Big Island,4.52593994
+19.44780285,-155.89185346,training,1.0,Coffee,Big Island,7.05471992
+19.44982448,-155.89211863,training,1.0,Coffee,Big Island,7.40544987
+19.44978959,-155.88792892,training,1.0,Macadamia Nuts,Big Island,9.04909039
+19.45240441,-155.88831455,training,1.0,Macadamia Nuts,Big Island,6.02439022
+19.44999569,-155.88297895,training,1.0,Macadamia Nuts,Big Island,3.25511003
+19.45105473,-155.88732685,training,1.0,Coffee,Big Island,5.25509977
+19.44925833,-155.88263366,training,1.0,Coffee,Big Island,0.96132702
+19.45250098,-155.88026575,training,1.0,Macadamia Nuts,Big Island,1.77355003
+19.45254857,-155.88155342,training,1.0,Coffee,Big Island,0.98001498
+19.45118403,-155.8811893,training,1.0,Macadamia Nuts,Big Island,4.20640993
+19.45179296,-155.8812588,training,1.0,Diversified Crop,Big Island,3.22405005
+19.45229969,-155.88473362,training,1.0,Macadamia Nuts,Big Island,2.57556009
+19.4501742,-155.87557118,training,1.0,Tropical Fruits,Big Island,1.52218997
+19.45016841,-155.87304099,training,1.0,Coffee,Big Island,11.84700012
+19.44891491,-155.87539992,training,1.0,Macadamia Nuts,Big Island,5.66490984
+19.44820567,-155.87443811,training,1.0,Coffee,Big Island,2.40424991
+19.44789882,-155.88367011,training,1.0,Macadamia Nuts,Big Island,1.68377995
+19.44848198,-155.88189973,training,1.0,Coffee,Big Island,0.87708801
+19.44936756,-155.88063794,training,1.0,Macadamia Nuts,Big Island,5.88878012
+19.44756529,-155.88085925,training,1.0,Coffee,Big Island,0.49786201
+19.45125813,-155.88264258,training,1.0,Coffee,Big Island,1.20071995
+19.45092254,-155.88009911,training,1.0,Macadamia Nuts,Big Island,0.17547201
+19.45318275,-155.88825523,training,1.0,Macadamia Nuts,Big Island,7.041329859999999
+19.45401588,-155.88413436,training,1.0,Coffee,Big Island,1.56959999
+19.45411711,-155.8895366,training,1.0,Macadamia Nuts,Big Island,7.64707994
+19.45470745,-155.88769482,training,1.0,Coffee,Big Island,18.264600750000003
+19.45552627,-155.89040672,training,1.0,Macadamia Nuts,Big Island,3.54972005
+19.45386532,-155.87789946,training,1.0,Coffee,Big Island,12.92720032
+19.45415142,-155.87586344,training,1.0,Coffee,Big Island,10.64099979
+19.45683104,-155.87652046,training,1.0,Macadamia Nuts,Big Island,28.46570015
+19.45623274,-155.88408139,training,1.0,Coffee,Big Island,8.78567028
+19.45407884,-155.88153045,training,1.0,Coffee,Big Island,2.10180998
+19.45701828,-155.88793591,training,1.0,Coffee,Big Island,8.770310400000001
+19.45753349,-155.88478254,training,1.0,Macadamia Nuts,Big Island,10.7105999
+19.45435136,-155.88274293,training,1.0,Coffee,Big Island,1.01350999
+19.45649229,-155.878544,training,1.0,Coffee,Big Island,11.89389992
+19.45628651,-155.89286113,training,1.0,Coffee,Big Island,3.54938006
+19.4605688,-155.88461251,training,1.0,Coffee,Big Island,3.92904997
+19.45699043,-155.89640161,training,1.0,Macadamia Nuts,Big Island,22.8185997
+19.45676775,-155.89417594,training,1.0,Coffee,Big Island,1.49073005
+19.4578089,-155.89428354,training,1.0,Coffee,Big Island,2.59887004
+19.45716433,-155.89138,training,1.0,Macadamia Nuts,Big Island,3.20922995
+19.45610614,-155.89776197,training,1.0,Coffee,Big Island,14.03779984
+19.45628741,-155.8918338,training,1.0,Coffee,Big Island,2.72217011
+19.45511566,-155.89381532,training,1.0,Coffee,Big Island,5.02700996
+19.45767552,-155.89327412,training,1.0,Macadamia Nuts,Big Island,2.86168003
+19.45836239,-155.89739641,training,1.0,Diversified Crop,Big Island,8.923580170000001
+19.45976417,-155.89803117,training,1.0,Macadamia Nuts,Big Island,35.83229828
+19.45792672,-155.88640561,training,1.0,Tropical Fruits,Big Island,3.1073401
+19.45897002,-155.88740472,training,1.0,Macadamia Nuts,Big Island,19.42359924
+19.45945469,-155.89202987,training,1.0,Coffee,Big Island,8.10816002
+19.45918023,-155.88765936,training,1.0,Coffee,Big Island,2.07224989
+19.45858689,-155.89098751,training,1.0,Macadamia Nuts,Big Island,6.882259850000001
+19.46037753,-155.88741824,training,1.0,Coffee,Big Island,4.29168987
+19.45988785,-155.88889258,training,1.0,Macadamia Nuts,Big Island,3.98255992
+19.46026753,-155.89018189,training,1.0,Macadamia Nuts,Big Island,0.87913901
+19.46368164,-155.88714991,training,1.0,Macadamia Nuts,Big Island,14.06630039
+19.46888135,-155.88639932,training,1.0,Macadamia Nuts,Big Island,22.9022007
+19.46360277,-155.90131488,training,0.0,Flowers / Foliage / Landscape,Big Island,19.92700005
+19.46392456,-155.89878399,training,1.0,Macadamia Nuts,Big Island,2.94560003
+19.46251285,-155.88846835,training,1.0,Coffee,Big Island,1.79981005
+19.46172147,-155.89735795,training,1.0,Macadamia Nuts,Big Island,2.3213501
+19.46258187,-155.89051783,training,1.0,Tropical Fruits,Big Island,3.25990009
+19.45929208,-155.89392782,training,1.0,Macadamia Nuts,Big Island,0.68275303
+19.46189553,-155.88977318,training,1.0,Coffee,Big Island,2.06948996
+19.461326,-155.89932431,training,1.0,Tropical Fruits,Big Island,4.08677006
+19.46275489,-155.88940929,training,1.0,Macadamia Nuts,Big Island,3.30057001
+19.46409179,-155.89044606,training,1.0,Macadamia Nuts,Big Island,30.63080025
+19.46133736,-155.88863653,training,1.0,Macadamia Nuts,Big Island,8.8696003
+19.46691888,-155.89512711,training,1.0,Coffee,Big Island,129.57200623
+19.46583464,-155.88843214,training,1.0,Coffee,Big Island,6.18869019
+19.46572821,-155.88609804,training,1.0,Coffee,Big Island,2.86094999
+19.46543352,-155.88502634,training,1.0,Macadamia Nuts,Big Island,2.83188009
+19.46336591,-155.88470258,training,1.0,Coffee,Big Island,14.65390015
+19.46387393,-155.88206613,training,1.0,Coffee,Big Island,20.1135006
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+19.46448127,-155.88020276,training,1.0,Coffee,Big Island,2.73220992
+19.46062183,-155.87887873,training,1.0,Coffee,Big Island,34.14659882
+19.4591951,-155.87693312,training,1.0,Coffee,Big Island,11.40229988
+19.46224959,-155.89897818,training,1.0,Coffee,Big Island,7.8324399
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+19.46066298,-155.89444563,training,1.0,Macadamia Nuts,Big Island,3.51446009
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+19.47239388,-155.88919148,training,1.0,Macadamia Nuts,Big Island,5.15692997
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+19.47312246,-155.89296934,training,1.0,Coffee,Big Island,40.52859879
+19.47616628,-155.8901554,training,1.0,Coffee,Big Island,16.85000038
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+19.47154523,-155.89566789,training,1.0,Macadamia Nuts,Big Island,9.25160027
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+19.46939666,-155.9075333,training,1.0,Coffee,Big Island,2.53021002
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+19.47821466,-155.88788513,training,1.0,Coffee,Big Island,8.20946026
+19.52624434,-155.84092622,training,0.0,Pasture,Big Island,31806.69921875
+19.48105313,-155.89584744,training,1.0,Coffee,Big Island,1.84475005
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+19.50439407,-155.92100968,training,1.0,Coffee,Big Island,1.42938006
+19.50417186,-155.92355213,training,1.0,Macadamia Nuts,Big Island,16.56399918
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+19.50435578,-155.91793047,training,1.0,Coffee,Big Island,1.56280005
+19.50525108,-155.91210271,training,1.0,Coffee,Big Island,5.11619997
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+19.50513633,-155.91068074,training,1.0,Macadamia Nuts,Big Island,16.55789948
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+19.50735908,-155.91036718,training,1.0,Coffee,Big Island,6.22239017
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+19.50511368,-155.92129667,training,1.0,Tropical Fruits,Big Island,1.83297002
+19.50990582,-155.90920152,training,1.0,Coffee,Big Island,41.15810013
+19.50770687,-155.9046665,training,1.0,Macadamia Nuts,Big Island,32.099601750000005
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+19.50674352,-155.92828014,training,0.0,Pasture,Big Island,218.65800476
+19.51026794,-155.92600141,training,1.0,Coffee,Big Island,41.90739822
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+19.51091707,-155.92453015,training,1.0,Macadamia Nuts,Big Island,0.894876
+19.51199249,-155.92525949,training,1.0,Macadamia Nuts,Big Island,3.12049007
+19.51265606,-155.92834681,training,1.0,Macadamia Nuts,Big Island,5.54470015
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+19.5152797,-155.91918894,training,1.0,Macadamia Nuts,Big Island,2.17980003
+19.51406394,-155.91684757,training,1.0,Coffee,Big Island,22.89480019
+19.51253894,-155.92276392,training,1.0,Coffee,Big Island,6.105070110000001
+19.5121587,-155.92760266,training,1.0,Coffee,Big Island,3.97846007
+19.51582919,-155.91555336,training,1.0,Macadamia Nuts,Big Island,8.28279972
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+19.52842412,-155.91808209,training,1.0,Macadamia Nuts,Big Island,11.55070019
+19.52990467,-155.91296842,training,1.0,Coffee,Big Island,16.97699928
+19.52975712,-155.91702115,training,1.0,Coffee,Big Island,12.50020027
+19.52517401,-155.91531328,training,1.0,Coffee,Big Island,22.45739937
+19.52771115,-155.914783,training,1.0,Coffee,Big Island,13.0763998
+19.52684644,-155.91715701,training,1.0,Macadamia Nuts,Big Island,4.69496012
+19.52747152,-155.91231822,training,0.0,Pasture,Big Island,18.4102993
+19.53315316,-155.9077441,training,1.0,Coffee,Big Island,18.97179985
+19.53248952,-155.90516268,training,1.0,Coffee,Big Island,4.455309870000001
+19.53414891,-155.9057824,training,1.0,Macadamia Nuts,Big Island,7.42349005
+19.52971416,-155.90130966,training,1.0,Coffee,Big Island,10.18640041
+19.52520275,-155.9112052,training,1.0,Coffee,Big Island,0.95557398
+19.52583166,-155.91141111,training,1.0,Macadamia Nuts,Big Island,1.28504002
+19.52803197,-155.90771609,training,1.0,Coffee,Big Island,114.31300354
+19.53221713,-155.91091474,training,1.0,Coffee,Big Island,33.75790024
+19.5185796,-155.91530632,training,1.0,Macadamia Nuts,Big Island,5.0710001
+19.51972426,-155.9264458,training,1.0,Coffee,Big Island,19.7628994
+19.52084898,-155.92727015,training,1.0,Coffee,Big Island,2.23816991
+19.52157536,-155.9239502,training,1.0,Coffee,Big Island,13.36159992
+19.52033417,-155.92925587,training,1.0,Coffee,Big Island,7.79196978
+19.52102313,-155.92994403,training,1.0,Coffee,Big Island,1.61117005
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+19.51953913,-155.92274284,training,1.0,Coffee,Big Island,3.91953993
+19.52271594,-155.92408413,training,1.0,Coffee,Big Island,11.34539986
+19.51902364,-155.92990534,training,1.0,Macadamia Nuts,Big Island,6.02865982
+19.52072295,-155.92265914,training,1.0,Macadamia Nuts,Big Island,4.79906988
+19.52216644,-155.91845772,training,1.0,Macadamia Nuts,Big Island,4.08242989
+19.52191495,-155.92003835,training,1.0,Coffee,Big Island,2.11849999
+19.52388548,-155.91996412,training,1.0,Coffee,Big Island,5.440639969999999
+19.52323617,-155.92107692,training,1.0,Coffee,Big Island,0.728127
+19.5273525,-155.92586713,training,1.0,Coffee,Big Island,8.53318977
+19.52756575,-155.93349274,training,1.0,Macadamia Nuts,Big Island,97.04499817
+19.52543109,-155.92516705,training,1.0,Coffee,Big Island,8.70878029
+19.52607435,-155.92658904,training,1.0,Coffee,Big Island,7.20051003
+19.53732648,-155.94057494,training,0.0,Pasture,Big Island,1476.33996582
+19.52932645,-155.94978407,training,0.0,Pasture,Big Island,633.1030273399999
+19.53155667,-155.9199559,training,1.0,Coffee,Big Island,18.62509918
+19.52993669,-155.92142087,training,1.0,Macadamia Nuts,Big Island,9.82283974
+19.52767909,-155.92120765,training,1.0,Coffee,Big Island,38.90999985
+19.53329117,-155.92620677,training,1.0,Macadamia Nuts,Big Island,1.16267002
+19.53252442,-155.92041111,training,1.0,Coffee,Big Island,9.50599003
+19.53257967,-155.91617655,training,1.0,Coffee,Big Island,4.67612982
+19.53462826,-155.91718236,training,1.0,Coffee,Big Island,4.41335011
+19.53195683,-155.92382931,training,1.0,Macadamia Nuts,Big Island,4.61751986
+19.53437474,-155.92442657,training,1.0,Coffee,Big Island,1.24083996
+19.53337649,-155.92355578,training,1.0,Coffee,Big Island,5.49209976
+19.53534866,-155.92550498,training,1.0,Macadamia Nuts,Big Island,2.05686998
+19.53314497,-155.9218819,training,1.0,Coffee,Big Island,13.49629974
+19.53429285,-155.92536138,training,1.0,Diversified Crop,Big Island,0.25216401
+19.53560552,-155.923673,training,1.0,Coffee,Big Island,1.29042006
+19.53394863,-155.92909121,training,1.0,Coffee,Big Island,3.84842992
+19.53434894,-155.93325395,training,1.0,Coffee,Big Island,14.18130016
+19.53368431,-155.92980659,training,1.0,Tropical Fruits,Big Island,3.61179996
+19.53298554,-155.93258123,training,1.0,Tropical Fruits,Big Island,12.54590034
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+19.53761782,-155.92996116,training,1.0,Coffee,Big Island,1.19714999
+19.53976526,-155.93173067,training,1.0,Coffee,Big Island,4.85976982
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+19.54480222,-155.93501035,training,1.0,Coffee,Big Island,5.912920000000001
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+19.5468457,-155.9311032,training,1.0,Coffee,Big Island,0.53262699
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+19.55479079,-155.93220001,training,1.0,Coffee,Big Island,18.36540031
+19.55619049,-155.92987709,training,1.0,Coffee,Big Island,6.33597994
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+19.67416938,-155.9673695,training,1.0,Coffee,Big Island,0.538131
+19.67597915,-155.9650162,training,1.0,Coffee,Big Island,13.09420013
+19.67324695,-155.96549571,training,1.0,Coffee,Big Island,0.115438
+19.67358302,-155.96553004,training,1.0,Coffee,Big Island,0.89502102
+19.68344952,-155.99097526,training,0.0,Pasture,Big Island,689.73498535
+19.68867634,-155.94349575,training,0.0,Pasture,Big Island,3182.43994141
+19.67935516,-155.97208337,training,1.0,Coffee,Big Island,8.6709404
+19.67904981,-155.98222379,training,1.0,Macadamia Nuts,Big Island,0.64398903
+19.68297568,-155.96720921,training,1.0,Coffee,Big Island,13.49779987
+19.68200721,-155.96610167,training,1.0,Coffee,Big Island,11.81340027
+19.67814508,-155.98368284,training,1.0,Coffee,Big Island,1.07642996
+19.67858881,-155.98162846,training,1.0,Macadamia Nuts,Big Island,0.47766399
+19.68052754,-155.97886762,training,1.0,Macadamia Nuts,Big Island,0.60090601
+19.6801112,-155.9762323,training,1.0,Coffee,Big Island,0.58507103
+19.68058275,-155.97594215,training,1.0,Coffee,Big Island,0.526218
+19.68023068,-155.9649283,training,1.0,Coffee,Big Island,2.67753005
+19.67866096,-155.96716142,training,1.0,Coffee,Big Island,0.994156
+19.67880034,-155.96765087,training,1.0,Coffee,Big Island,0.91498399
+19.6803622,-155.96966354,training,0.0,Pasture,Big Island,0.76820302
+19.67858989,-155.97404901,training,0.0,Pasture,Big Island,33.88069916
+19.67490633,-155.97187343,training,0.0,Pasture,Big Island,8.71648979
+19.68731572,-155.97508158,training,0.0,Pasture,Big Island,1.56577003
+19.69402463,-155.96842413,training,1.0,Coffee,Big Island,3.12343001
+19.70043203,-155.98124702,training,1.0,Macadamia Nuts,Big Island,20.824100490000003
+19.69632999,-155.9714514,training,1.0,Coffee,Big Island,1.84281003
+19.69719317,-155.96882564,training,1.0,Coffee,Big Island,1.20380998
+19.69677831,-155.97426901,training,1.0,Coffee,Big Island,4.71677017
+19.69254352,-155.97831002,training,1.0,Coffee,Big Island,3.25282001
+19.69497581,-155.97021552,training,1.0,Coffee,Big Island,0.44525501
+19.6955828,-155.97163856,training,1.0,Coffee,Big Island,0.42422599
+19.69703937,-155.97504129,training,1.0,Macadamia Nuts,Big Island,0.91054702
+19.69763307,-155.97569822,training,1.0,Coffee,Big Island,1.34941006
+19.6991648,-155.97448456,training,1.0,Coffee,Big Island,2.08862996
+19.69614854,-155.97830721,training,1.0,Coffee,Big Island,6.22371006
+19.69895524,-155.97589219,training,1.0,Coffee,Big Island,0.36453801
+19.69615648,-155.9811049,training,1.0,Coffee,Big Island,0.65333498
+19.69793278,-155.9844802,training,1.0,Coffee,Big Island,0.90377402
+19.70032426,-155.98420985,training,1.0,Coffee,Big Island,1.98495996
+19.70195665,-155.97775325,training,1.0,Coffee,Big Island,2.57319999
+19.70114771,-155.97775318,training,1.0,Diversified Crop,Big Island,3.20225
+19.70291625,-155.98039426,training,1.0,Macadamia Nuts,Big Island,4.79894018
+19.70912295,-155.97015213,training,1.0,Macadamia Nuts,Big Island,34.040500640000005
+19.70472275,-155.96621207,training,1.0,Coffee,Big Island,1.21115005
+19.70740083,-155.97378055,training,1.0,Coffee,Big Island,4.51000023
+19.7130641,-155.9749916,training,1.0,Coffee,Big Island,1.36231005
+19.71292098,-155.97403575,training,1.0,Coffee,Big Island,2.99205995
+19.70583099,-155.98517421,training,1.0,Coffee,Big Island,2.62756991
+19.70662935,-155.98558199,training,1.0,Macadamia Nuts,Big Island,2.41647005
+19.71272971,-155.97929035,training,1.0,Coffee,Big Island,1.47035003
+19.71505391,-155.98179897,training,1.0,Macadamia Nuts,Big Island,1.20484996
+19.71543212,-155.98245612,training,1.0,Macadamia Nuts,Big Island,0.44311601
+19.72385295,-155.97057191,training,1.0,Coffee,Big Island,5.89119005
+19.72329457,-155.97307761,training,1.0,Coffee,Big Island,5.29625988
+19.72144693,-155.97891815,training,1.0,Macadamia Nuts,Big Island,3.11034012
+19.72163807,-155.99062618,training,1.0,Macadamia Nuts,Big Island,7.89132023
+19.73534748,-155.98137035,training,1.0,Coffee,Big Island,9.89202023
+19.73661245,-155.98043079,training,1.0,Coffee,Big Island,3.70552993
+19.73562313,-155.9798941,training,1.0,Coffee,Big Island,2.40918994
+19.73463743,-155.9796271,training,1.0,Coffee,Big Island,1.39394999
+19.73905993,-155.98486171,training,1.0,Coffee,Big Island,4.40035009
+19.74214544,-155.94148905,training,0.0,Pasture,Big Island,3808.23999023
+19.7610901,-155.95794974,training,1.0,Tropical Fruits,Big Island,7.50549984
+19.08117291,-155.6587748,training,1.0,Macadamia Nuts,Big Island,202.18800354
+19.0741167,-155.66328934,training,1.0,Tropical Fruits,Big Island,2.4358201
+19.06904527,-155.64627771,training,1.0,Macadamia Nuts,Big Island,5.20613003
+19.06916183,-155.64474324,training,1.0,Macadamia Nuts,Big Island,8.25271988
+19.06930085,-155.64358288,training,1.0,Macadamia Nuts,Big Island,3.48633003
+19.06870699,-155.64325693,training,1.0,Macadamia Nuts,Big Island,5.96876001
+19.0643942,-155.63138504,training,1.0,Macadamia Nuts,Big Island,11.31579971
+19.06649383,-155.6326306,training,1.0,Macadamia Nuts,Big Island,14.27740002
+19.06271749,-155.62967619,training,1.0,Macadamia Nuts,Big Island,6.8025198
+19.06627115,-155.63509404,training,1.0,Macadamia Nuts,Big Island,11.883899690000002
+19.0635808,-155.64447459,training,1.0,Macadamia Nuts,Big Island,4.0792799
+19.06360634,-155.63313893,training,1.0,Macadamia Nuts,Big Island,12.92879963
+19.06477214,-155.64316405,training,1.0,Tropical Fruits,Big Island,18.44680023
+19.06278731,-155.66143787,training,1.0,Macadamia Nuts,Big Island,6.86676979
+19.06308027,-155.65590222,training,1.0,Macadamia Nuts,Big Island,59.30319977
+19.06828247,-155.65549104,training,1.0,Tropical Fruits,Big Island,61.10440063
+19.06399795,-155.65238298,training,1.0,Macadamia Nuts,Big Island,44.3158989
+19.07156365,-155.61191581,training,1.0,Macadamia Nuts,Big Island,3.20582008
+19.07432172,-155.6129932,training,1.0,Diversified Crop,Big Island,6.697239880000001
+19.06932962,-155.61393385,training,1.0,Coffee,Big Island,5.28588009
+19.05852503,-155.59410386,training,1.0,Macadamia Nuts,Big Island,7.90518999
+19.0561969,-155.61705253,training,1.0,Diversified Crop,Big Island,15.79609966
+19.06110717,-155.61761418,training,1.0,Tropical Fruits,Big Island,7.69634008
+19.05222729,-155.61475137,training,0.0,Pasture,Big Island,197.98100281
+19.04384059,-155.66445507,training,1.0,Tropical Fruits,Big Island,125.94799805
+19.04876467,-155.65106163,training,0.0,Pasture,Big Island,971.18798828
+18.99399563,-155.67926628,training,0.0,Pasture,Big Island,5008.31005859
+19.04674643,-155.68386917,training,0.0,Pasture,Big Island,38.76490021
+19.0416832,-155.67094768,training,0.0,Pasture,Big Island,92.66120148
+19.05726739,-155.66386397,training,1.0,Tropical Fruits,Big Island,10.25020027
+19.05330452,-155.66796851,training,0.0,Pasture,Big Island,199.75100708
+19.04831118,-155.6646289,training,1.0,Diversified Crop,Big Island,48.19189835
+19.03279149,-155.66470615,training,0.0,Pasture,Big Island,369.70599365
+19.03505774,-155.65996818,training,1.0,Diversified Crop,Big Island,1.25539994
+18.99812466,-155.62439845,training,0.0,Pasture,Big Island,23528.40039063
+19.85582241,-155.66368435,training,0.0,Pasture,Big Island,2195.66992188
+19.77078265,-155.87092474,training,0.0,Pasture,Big Island,9639.25976563
+19.63445659,-155.88054073,training,0.0,Pasture,Big Island,16327.20019531
+19.85047753,-155.81695541,training,0.0,Pasture,Big Island,23508.40039063
+19.42468901,-155.90351082,training,0.0,Pasture,Big Island,1.31715
+19.81594358,-155.63452723,training,0.0,Pasture,Big Island,24.13459969
+19.19916986,-155.48418556,training,1.0,Macadamia Nuts,Big Island,49.01179886
+19.20606584,-155.48217205,training,1.0,Macadamia Nuts,Big Island,62.29740143
+20.05578576,-155.4276512,training,1.0,Tropical Fruits,Big Island,2.7894001
+20.05667629,-155.42809106,training,1.0,Tropical Fruits,Big Island,1.03688002
+19.20104455,-155.52638056,training,1.0,Coffee,Big Island,81.58999634
+19.1986449,-155.52684926,training,1.0,Coffee,Big Island,17.22730064
+19.17216481,-155.51929373,training,1.0,Macadamia Nuts,Big Island,307.09399414
+19.1660545,-155.52514575,training,1.0,Macadamia Nuts,Big Island,47.79850006
+19.17790561,-155.50460606,training,1.0,Macadamia Nuts,Big Island,862.28198242
+19.16883783,-155.53240624,training,1.0,Macadamia Nuts,Big Island,2.27203989
+19.16710444,-155.5333914,training,1.0,Macadamia Nuts,Big Island,16.441099169999998
+19.16240859,-155.52488839,training,1.0,Macadamia Nuts,Big Island,8.41851044
+19.18967278,-155.49608656,training,1.0,Macadamia Nuts,Big Island,14.34029961
+19.19141308,-155.49248719,training,1.0,Macadamia Nuts,Big Island,56.48139954
+19.18646227,-155.48899457,training,1.0,Macadamia Nuts,Big Island,23.32789993
+19.18736787,-155.49197618,training,1.0,Macadamia Nuts,Big Island,5.65328979
+19.18944048,-155.48993675,training,1.0,Macadamia Nuts,Big Island,6.22261
+19.19434745,-155.48740161,training,1.0,Macadamia Nuts,Big Island,107.38600159
+19.18803031,-155.48541288,training,1.0,Macadamia Nuts,Big Island,93.20749664
+19.20264762,-155.48828106,training,1.0,Macadamia Nuts,Big Island,36.76589966
+19.20852195,-155.48456952,training,1.0,Macadamia Nuts,Big Island,82.62159729
+19.19022405,-155.48054127,training,1.0,Macadamia Nuts,Big Island,65.25370025999999
+19.19297306,-155.47807389,training,1.0,Macadamia Nuts,Big Island,49.32559967
+19.19870645,-155.4667757,training,1.0,Macadamia Nuts,Big Island,451.79000854
+19.18555813,-155.47476498,training,1.0,Macadamia Nuts,Big Island,226.30900574
+19.19440182,-155.45873079,training,1.0,Macadamia Nuts,Big Island,217.42199707
+19.22251378,-155.48061012,training,1.0,Macadamia Nuts,Big Island,162.84899901999998
+19.21468098,-155.46997505,training,1.0,Macadamia Nuts,Big Island,272.05899048
+19.21175501,-155.47586215,training,1.0,Macadamia Nuts,Big Island,28.0163002
+19.22614322,-155.47450671,training,1.0,Macadamia Nuts,Big Island,254.66200256
+19.219162,-155.47607217,training,1.0,Macadamia Nuts,Big Island,95.77909851
+19.21923155,-155.48420998,training,1.0,Macadamia Nuts,Big Island,77.49600219999999
+19.22899583,-155.4589461,training,1.0,Macadamia Nuts,Big Island,11.11839962
+19.23493895,-155.46195945,training,1.0,Macadamia Nuts,Big Island,126.68099976
+19.21300433,-155.46204158,training,1.0,Macadamia Nuts,Big Island,152.95399475
+19.24115344,-155.47995463,training,1.0,Coffee,Big Island,1.75468004
+19.24143763,-155.48057529,training,1.0,Coffee,Big Island,2.41968989
+20.04842615,-155.3679931,training,1.0,Diversified Crop,Big Island,54.89360046
+20.0489092,-155.37168532,training,1.0,Macadamia Nuts,Big Island,1.60694003
+20.05014419,-155.36633911,training,1.0,Macadamia Nuts,Big Island,16.57449913
+20.05048019,-155.37089929,training,1.0,Diversified Crop,Big Island,5.149650100000001
+20.05301122,-155.36572158,training,1.0,Diversified Crop,Big Island,34.38119888000001
+20.05345746,-155.36876223,training,1.0,Macadamia Nuts,Big Island,9.96660995
+20.0550169,-155.36732087,training,1.0,Tropical Fruits,Big Island,9.3815403
+20.05537783,-155.36860552,training,1.0,Diversified Crop,Big Island,9.30550957
+20.07336808,-155.40282132,training,1.0,Diversified Crop,Big Island,35.64759827
+20.05168352,-155.36554134,training,1.0,Diversified Crop,Big Island,8.4177103
+20.05584216,-155.43314434,training,1.0,Tropical Fruits,Big Island,6.59252024
+20.05350858,-155.39283732,training,1.0,Macadamia Nuts,Big Island,4.705299849999999
+20.06139385,-155.39792287,training,0.0,Flowers / Foliage / Landscape,Big Island,4.337600230000001
+20.05837853,-155.39710459,training,0.0,Flowers / Foliage / Landscape,Big Island,3.16706991
+20.05088775,-155.39813935,training,1.0,Macadamia Nuts,Big Island,5.56825018
+19.19248171,-155.51954005,training,1.0,Coffee,Big Island,4.85663986
+19.18848652,-155.51519121,training,1.0,Coffee,Big Island,37.273498540000006
+19.16945237,-155.55326943,training,1.0,Coffee,Big Island,1.53814995
+20.06030518,-155.39710268,training,0.0,Flowers / Foliage / Landscape,Big Island,3.82165003
+20.05713296,-155.40069084,training,1.0,Macadamia Nuts,Big Island,3.68142009
+20.08495365,-155.43545268,training,1.0,Diversified Crop,Big Island,2.39331007
+20.08822123,-155.47610407,training,1.0,Macadamia Nuts,Big Island,28.87680054
+19.15889264,-155.84449923,training,1.0,Macadamia Nuts,Big Island,1589.06005859
+19.14466642,-155.83641143,training,1.0,Macadamia Nuts,Big Island,892.55700684
+20.05223317,-155.37013241,training,1.0,Diversified Crop,Big Island,3.89246988
+19.25712591,-155.47802418,training,1.0,Tropical Fruits,Big Island,2.71737003
+19.09302109,-155.58255768,training,1.0,Macadamia Nuts,Big Island,30.61700058
+19.10199897,-155.57877135,training,1.0,Macadamia Nuts,Big Island,14.10060024
+19.10100486,-155.57688582,training,1.0,Macadamia Nuts,Big Island,21.98559952
+19.09617389,-155.58065474,training,1.0,Macadamia Nuts,Big Island,23.91710091
+19.09853795,-155.57885411,training,1.0,Macadamia Nuts,Big Island,30.85790062
+19.58525421,-155.06168644,training,1.0,Diversified Crop,Big Island,0.434039
+19.27250714,-155.47374418,training,1.0,Coffee,Big Island,5.25093985
+19.2672764,-155.47757609,training,1.0,Coffee,Big Island,17.03230095
+19.26928741,-155.48540347,training,1.0,Macadamia Nuts,Big Island,9.70744991
+19.26908648,-155.48688979,training,1.0,Macadamia Nuts,Big Island,4.36317015
+19.27258637,-155.48537064,training,1.0,Coffee,Big Island,1.28264999
+19.26889729,-155.47181142,training,1.0,Coffee,Big Island,3.38941002
+19.253414,-155.47449144,training,1.0,Coffee,Big Island,6.05467987
+19.25720441,-155.46858413,training,1.0,Macadamia Nuts,Big Island,22.68540001
+19.26076522,-155.46708349,training,1.0,Coffee,Big Island,2.05532002
+19.23581845,-155.47503567,training,1.0,Macadamia Nuts,Big Island,114.65399933
+19.24270454,-155.47281437,training,1.0,Macadamia Nuts,Big Island,133.54600524999998
+19.22723707,-155.4577474,training,1.0,Coffee,Big Island,3.87541008
+19.24665114,-155.47845694,training,1.0,Macadamia Nuts,Big Island,74.25109863
+19.24086607,-155.47850735,training,1.0,Coffee,Big Island,11.47560024
+19.2377051,-155.48389519,training,1.0,Coffee,Big Island,26.14349937
+19.24092366,-155.48320644,training,1.0,Coffee,Big Island,38.48759842
+19.2393053,-155.47956275,training,1.0,Coffee,Big Island,14.30070019
+19.23783057,-155.48020268,training,1.0,Coffee,Big Island,11.79599953
+19.22653255,-155.46648598,training,1.0,Macadamia Nuts,Big Island,137.21299743999998
+19.21386627,-155.49362559,training,1.0,Diversified Crop,Big Island,4.51545
+19.17707593,-155.52046823,training,1.0,Macadamia Nuts,Big Island,12.93449974
+19.17576392,-155.52382125,training,1.0,Macadamia Nuts,Big Island,12.95829964
+20.06562642,-155.3958593,training,1.0,Diversified Crop,Big Island,10.74190044
+20.05661667,-155.39499857,training,0.0,Aquaculture,Big Island,1.94802999
+20.05515285,-155.39706919,training,1.0,Macadamia Nuts,Big Island,15.27140045
+20.05645102,-155.39829012,training,1.0,Macadamia Nuts,Big Island,2.97764993
+20.05175927,-155.39059714,training,1.0,Tropical Fruits,Big Island,1.78729999
+20.06208348,-155.41896493,training,1.0,Macadamia Nuts,Big Island,3.80834007
+20.05497542,-155.42263843,training,1.0,Tropical Fruits,Big Island,5.05178022
+20.05903187,-155.43053089,training,1.0,Tropical Fruits,Big Island,4.68986988
+20.05707025,-155.42987509,training,1.0,Tropical Fruits,Big Island,5.61916018
+20.03754052,-155.42022142,training,1.0,Tropical Fruits,Big Island,33.111801150000005
+20.03586085,-155.4163305,training,1.0,Tropical Fruits,Big Island,4.89076996
+20.03459771,-155.41663393,training,1.0,Tropical Fruits,Big Island,7.653349879999999
+20.03868449,-155.42426761,training,1.0,Tropical Fruits,Big Island,5.02787018
+20.03136963,-155.40602464,training,1.0,Diversified Crop,Big Island,1.20318997
+20.04711559,-155.41585822,training,1.0,Tropical Fruits,Big Island,11.3409996
+20.04563027,-155.41708576,training,1.0,Tropical Fruits,Big Island,2.79799008
+20.07381656,-155.43834553,training,1.0,Diversified Crop,Big Island,19.76129913
+20.06791094,-155.48574707,training,1.0,Tropical Fruits,Big Island,8.51255035
+20.06763591,-155.49873487,training,1.0,Tropical Fruits,Big Island,4.910930159999999
+20.06722206,-155.49980195,training,1.0,Tropical Fruits,Big Island,3.4239099
+20.03216527,-155.42369939,training,1.0,Tropical Fruits,Big Island,25.4095993
+20.06661216,-155.42032795,training,1.0,Macadamia Nuts,Big Island,21.76689911
+20.06488929,-155.41885052,training,1.0,Macadamia Nuts,Big Island,4.63910007
+19.21100777,-155.50504701,training,1.0,Coffee,Big Island,36.95410156
+19.20785253,-155.50277458,training,1.0,Coffee,Big Island,33.270000460000006
+19.20362323,-155.49911275,training,1.0,Coffee,Big Island,87.33959961000001
+20.08389733,-155.49839335,training,0.0,Commercial Forestry,Big Island,6.75408983
+20.07441319,-155.49648033,training,0.0,Commercial Forestry,Big Island,58.16680145
+20.07154233,-155.49519755,training,0.0,Commercial Forestry,Big Island,2.4423399
+20.07585929,-155.49286096,training,0.0,Commercial Forestry,Big Island,8.55356979
+20.08053201,-155.49402365,training,0.0,Commercial Forestry,Big Island,55.46640015
+20.08458446,-155.49388705,training,0.0,Commercial Forestry,Big Island,8.32868004
+20.07911654,-155.48996824,training,0.0,Commercial Forestry,Big Island,66.46009826999999
+20.07729339,-155.48498464,training,0.0,Commercial Forestry,Big Island,109.60299683
+20.07523588,-155.48119897,training,0.0,Commercial Forestry,Big Island,59.02270126
+20.07233468,-155.4797988,training,0.0,Commercial Forestry,Big Island,10.19950008
+20.0752255,-155.47584557,training,0.0,Commercial Forestry,Big Island,59.7458992
+20.06051334,-155.4749045,training,0.0,Commercial Forestry,Big Island,25.77700043
+20.06413196,-155.4747769,training,0.0,Commercial Forestry,Big Island,33.85549927
+20.06820573,-155.46796835,training,0.0,Commercial Forestry,Big Island,42.40790176
+20.06807776,-155.4718304,training,0.0,Commercial Forestry,Big Island,9.34815025
+20.06414055,-155.4701351,training,0.0,Commercial Forestry,Big Island,58.27069855
+20.05928796,-155.46894249,training,0.0,Commercial Forestry,Big Island,20.57180023
+20.06001756,-155.4716712,training,0.0,Commercial Forestry,Big Island,34.07410049
+20.04170499,-155.44658118,training,0.0,Commercial Forestry,Big Island,37.1086998
+20.04075177,-155.45125695,training,0.0,Commercial Forestry,Big Island,33.51060104
+20.04115289,-155.45314421,training,0.0,Commercial Forestry,Big Island,10.56410027
+20.04466128,-155.45297809,training,0.0,Commercial Forestry,Big Island,28.93199921
+20.04785401,-155.45212113,training,0.0,Commercial Forestry,Big Island,22.4503994
+20.04654191,-155.45015923,training,0.0,Commercial Forestry,Big Island,44.99079895
+20.04737564,-155.44816335,training,0.0,Commercial Forestry,Big Island,20.67889977
+20.04600239,-155.44673037,training,0.0,Commercial Forestry,Big Island,24.4864006
+20.04542395,-155.44490037,training,0.0,Commercial Forestry,Big Island,19.91150093
+20.0448238,-155.44313713,training,0.0,Commercial Forestry,Big Island,19.8484993
+20.04848555,-155.4404589,training,0.0,Commercial Forestry,Big Island,24.07229996
+20.04926512,-155.44161105,training,0.0,Commercial Forestry,Big Island,17.99360085
+20.04992886,-155.44417442,training,0.0,Commercial Forestry,Big Island,26.3743
+20.05329367,-155.44229426,training,0.0,Commercial Forestry,Big Island,36.49039841
+20.0524256,-155.44677251,training,0.0,Commercial Forestry,Big Island,65.31109619
+20.05725853,-155.44414656,training,0.0,Commercial Forestry,Big Island,45.07529831
+20.06102041,-155.44092149,training,0.0,Commercial Forestry,Big Island,59.11989975
+20.05779113,-155.43880609,training,0.0,Commercial Forestry,Big Island,68.79869842999999
+20.05455182,-155.43686256,training,0.0,Commercial Forestry,Big Island,56.09659958
+20.06143642,-155.43464584,training,0.0,Commercial Forestry,Big Island,37.58280182
+20.05004497,-155.45314576,training,0.0,Commercial Forestry,Big Island,23.29820061
+20.05183478,-155.45655515,training,0.0,Commercial Forestry,Big Island,88.87480163999999
+20.05661377,-155.45361309,training,0.0,Commercial Forestry,Big Island,101.40299988
+20.05958299,-155.4480608,training,0.0,Commercial Forestry,Big Island,112.83599854
+20.06224952,-155.45192869,training,0.0,Commercial Forestry,Big Island,73.76959991
+20.06217753,-155.45616639,training,0.0,Commercial Forestry,Big Island,31.11120033
+20.06698531,-155.45049394,training,0.0,Commercial Forestry,Big Island,65.97840117999999
+20.06637103,-155.45479671,training,0.0,Commercial Forestry,Big Island,22.381999970000003
+20.06664522,-155.4442705,training,0.0,Commercial Forestry,Big Island,93.39559937
+20.0323686,-155.39743258,training,0.0,Commercial Forestry,Big Island,36.814300540000005
+20.04156692,-155.39861055,training,0.0,Commercial Forestry,Big Island,28.894199370000003
+20.03535969,-155.39888695,training,0.0,Commercial Forestry,Big Island,1.58516002
+20.04106533,-155.39705732,training,0.0,Commercial Forestry,Big Island,44.57600021
+20.03907417,-155.39510853,training,0.0,Commercial Forestry,Big Island,69.28610229
+20.04000172,-155.39263427,training,0.0,Commercial Forestry,Big Island,42.913200380000006
+20.04107355,-155.38883767,training,0.0,Commercial Forestry,Big Island,109.18299866
+20.04731893,-155.39247225,training,0.0,Commercial Forestry,Big Island,76.11560059
+20.03818173,-155.38750353,training,0.0,Commercial Forestry,Big Island,26.93950081
+20.04363937,-155.38429368,training,0.0,Commercial Forestry,Big Island,20.49749947
+20.04176188,-155.38280991,training,0.0,Commercial Forestry,Big Island,25.11380005
+20.0395639,-155.38139448,training,0.0,Commercial Forestry,Big Island,4.51075983
+20.02651464,-155.39103759,training,0.0,Commercial Forestry,Big Island,0.50106698
+20.02657135,-155.39227111,training,0.0,Commercial Forestry,Big Island,7.9993
+20.027105,-155.38580637,training,0.0,Commercial Forestry,Big Island,16.05270004
+20.03183617,-155.38638872,training,0.0,Commercial Forestry,Big Island,38.12200165
+20.03368542,-155.3878598,training,0.0,Commercial Forestry,Big Island,76.33110046
+20.03272473,-155.38383993,training,0.0,Commercial Forestry,Big Island,31.48570061
+20.03461001,-155.38046609,training,0.0,Commercial Forestry,Big Island,86.74210357999999
+20.02611294,-155.38314433,training,0.0,Commercial Forestry,Big Island,35.427700040000005
+20.02499869,-155.38057783,training,0.0,Commercial Forestry,Big Island,26.68770027
+20.03307747,-155.37833176,training,0.0,Commercial Forestry,Big Island,70.20559692
+20.03252836,-155.37542703,training,0.0,Commercial Forestry,Big Island,70.17780304
+20.03746207,-155.3714594,training,0.0,Commercial Forestry,Big Island,13.65890026
+20.02458587,-155.3781717,training,0.0,Commercial Forestry,Big Island,23.52619934
+20.02440726,-155.37636495,training,0.0,Commercial Forestry,Big Island,21.75289917
+20.03100131,-155.37371701,training,0.0,Commercial Forestry,Big Island,57.4056015
+20.02973728,-155.37249841,training,0.0,Commercial Forestry,Big Island,16.09449959
+20.02408337,-155.37336865,training,0.0,Commercial Forestry,Big Island,38.80680084
+20.03137124,-155.36995795,training,0.0,Commercial Forestry,Big Island,22.65329933
+20.02995444,-155.36863849,training,0.0,Commercial Forestry,Big Island,46.674301150000005
+20.03587741,-155.36700814,training,0.0,Commercial Forestry,Big Island,14.4460001
+20.03479544,-155.36363897,training,0.0,Commercial Forestry,Big Island,49.56190109
+20.03190924,-155.36105748,training,0.0,Commercial Forestry,Big Island,38.29460144
+20.0291214,-155.36697212,training,0.0,Commercial Forestry,Big Island,24.89870071
+20.02802741,-155.36480703,training,0.0,Commercial Forestry,Big Island,49.9435997
+20.02452579,-155.37016524,training,0.0,Commercial Forestry,Big Island,14.48999977
+20.02414562,-155.36769858,training,0.0,Commercial Forestry,Big Island,6.11058998
+20.02067915,-155.36552593,training,0.0,Commercial Forestry,Big Island,60.50529861
+20.04208805,-155.36091039,training,0.0,Commercial Forestry,Big Island,89.07289886
+20.0395337,-155.35894207,training,0.0,Commercial Forestry,Big Island,65.55940247
+20.04587158,-155.35639205,training,0.0,Commercial Forestry,Big Island,13.57429981
+20.04867962,-155.35543492,training,0.0,Commercial Forestry,Big Island,7.271910190000001
+20.04774632,-155.3529439,training,0.0,Commercial Forestry,Big Island,11.97649956
+20.04000104,-155.35522401,training,0.0,Commercial Forestry,Big Island,90.57659912
+20.04052082,-155.35135681,training,0.0,Commercial Forestry,Big Island,85.64289855999999
+20.04029045,-155.34864172,training,0.0,Commercial Forestry,Big Island,104.68800354
+20.04658908,-155.34709178,training,0.0,Commercial Forestry,Big Island,37.18939972
+20.03539008,-155.3480191,training,0.0,Commercial Forestry,Big Island,57.67620087
+20.0330742,-155.34513032,training,0.0,Commercial Forestry,Big Island,57.13579941
+20.03652756,-155.34175952,training,0.0,Commercial Forestry,Big Island,90.41619873
+20.03295806,-155.33779621,training,0.0,Commercial Forestry,Big Island,174.03700256000002
+20.03985624,-155.33655787,training,0.0,Commercial Forestry,Big Island,62.919498440000005
+20.0353938,-155.33063864,training,0.0,Commercial Forestry,Big Island,10.37380028
+20.03065021,-155.33294613,training,0.0,Commercial Forestry,Big Island,51.7419014
+20.02769829,-155.32802072,training,0.0,Commercial Forestry,Big Island,78.26679993
+20.03322328,-155.32691268,training,0.0,Commercial Forestry,Big Island,32.972000120000004
+20.02760251,-155.32513193,training,0.0,Commercial Forestry,Big Island,10.25559998
+20.02272505,-155.32676837,training,0.0,Commercial Forestry,Big Island,6.781509880000001
+20.02390346,-155.32456924,training,0.0,Commercial Forestry,Big Island,19.31599998
+20.02550361,-155.32270104,training,0.0,Commercial Forestry,Big Island,33.67459869
+20.02616601,-155.32106709,training,0.0,Commercial Forestry,Big Island,66.94709778000001
+20.03135544,-155.32036669,training,0.0,Commercial Forestry,Big Island,30.88310051
+20.02967501,-155.31601921,training,0.0,Commercial Forestry,Big Island,18.45120049
+20.02225245,-155.31855467,training,0.0,Commercial Forestry,Big Island,60.37549973
+20.02572825,-155.33868851,training,0.0,Commercial Forestry,Big Island,14.24559975
+20.02365851,-155.34056577,training,0.0,Commercial Forestry,Big Island,24.24090004
+20.02412297,-155.34267484,training,0.0,Commercial Forestry,Big Island,34.77880096
+20.02495807,-155.34469105,training,0.0,Commercial Forestry,Big Island,41.23020172
+20.02525601,-155.34691643,training,0.0,Commercial Forestry,Big Island,45.86719894
+20.02591478,-155.34927278,training,0.0,Commercial Forestry,Big Island,18.574100490000003
+20.02512877,-155.33606497,training,0.0,Commercial Forestry,Big Island,2.91418004
+19.99173911,-155.32268252,training,0.0,Commercial Forestry,Big Island,4.06743002
+20.01152253,-155.46100544,training,0.0,Commercial Forestry,Big Island,20.11949921
+20.00649097,-155.46284599,training,0.0,Commercial Forestry,Big Island,42.70059967
+20.01443534,-155.46280777,training,0.0,Commercial Forestry,Big Island,78.23259735
+20.00686289,-155.46603603,training,0.0,Commercial Forestry,Big Island,86.50219727
+20.01616718,-155.46688529,training,0.0,Commercial Forestry,Big Island,83.98339844
+20.00880073,-155.46927752,training,0.0,Commercial Forestry,Big Island,59.24480057
+20.01798851,-155.4702573,training,0.0,Commercial Forestry,Big Island,58.88819885
+20.00916173,-155.4706037,training,0.0,Commercial Forestry,Big Island,30.81749916
+20.01799658,-155.47441174,training,0.0,Commercial Forestry,Big Island,99.89700317
+20.00863084,-155.47394972,training,0.0,Commercial Forestry,Big Island,84.37129974
+20.00896202,-155.47746175,training,0.0,Commercial Forestry,Big Island,77.53140259
+20.00460897,-155.47940126,training,0.0,Commercial Forestry,Big Island,8.02684021
+20.02037372,-155.479947,training,0.0,Commercial Forestry,Big Island,54.06200027
+20.00973337,-155.48088723,training,0.0,Commercial Forestry,Big Island,79.68699645999999
+20.0054093,-155.48365474,training,0.0,Commercial Forestry,Big Island,16.260299680000003
+20.02236563,-155.48208322,training,0.0,Commercial Forestry,Big Island,40.17050171
+20.01369907,-155.48309755,training,0.0,Commercial Forestry,Big Island,65.05819702
+20.01182587,-155.48611095,training,0.0,Commercial Forestry,Big Island,123.95200348
+20.01201413,-155.48871032,training,0.0,Commercial Forestry,Big Island,110.49299622
+20.0081903,-155.49256575,training,0.0,Commercial Forestry,Big Island,72.78399658000001
+20.01181552,-155.49351222,training,0.0,Commercial Forestry,Big Island,70.77690125
+19.9962758,-155.46482623,training,0.0,Commercial Forestry,Big Island,55.53390121
+19.99539398,-155.46823746,training,0.0,Commercial Forestry,Big Island,95.75849915
+19.99813091,-155.4720351,training,0.0,Commercial Forestry,Big Island,62.361801150000005
+19.99727528,-155.47669132,training,0.0,Commercial Forestry,Big Island,93.47579956
+19.99819923,-155.48193085,training,0.0,Commercial Forestry,Big Island,111.04499817
+20.00087031,-155.48536096,training,0.0,Commercial Forestry,Big Island,25.46859932
+19.99796697,-155.48879916,training,0.0,Commercial Forestry,Big Island,151.57000732
+19.99716966,-155.49543205,training,0.0,Commercial Forestry,Big Island,157.44200134000002
+19.98738537,-155.46646063,training,0.0,Commercial Forestry,Big Island,19.15789986
+19.98519344,-155.46938312,training,0.0,Commercial Forestry,Big Island,52.17440033
+19.98653985,-155.47218643,training,0.0,Commercial Forestry,Big Island,34.00139999
+19.98565617,-155.47432837,training,0.0,Commercial Forestry,Big Island,59.12590027
+19.9848242,-155.4792543,training,0.0,Commercial Forestry,Big Island,99.45559692
+19.98972051,-155.48912241,training,0.0,Commercial Forestry,Big Island,107.07700348
+19.98928473,-155.4977907,training,0.0,Commercial Forestry,Big Island,120.30899811
+19.98391007,-155.498334,training,0.0,Commercial Forestry,Big Island,86.5019989
+19.9759372,-155.50861694,training,0.0,Commercial Forestry,Big Island,107.8769989
+19.97699057,-155.49839487,training,0.0,Commercial Forestry,Big Island,126.13200378
+19.96873998,-155.51042809,training,0.0,Commercial Forestry,Big Island,249.58999634
+19.97015836,-155.49818698,training,0.0,Commercial Forestry,Big Island,92.90570068
+19.9679421,-155.50459303,training,0.0,Commercial Forestry,Big Island,118.77899933
+19.97809378,-155.4824638,training,0.0,Commercial Forestry,Big Island,44.78269958
+19.97677962,-155.4792692,training,0.0,Commercial Forestry,Big Island,46.40250015
+19.97404603,-155.47604899,training,0.0,Commercial Forestry,Big Island,119.41600037
+19.97447735,-155.4714858,training,0.0,Commercial Forestry,Big Island,84.67469788
+20.0362738,-155.45247123,training,0.0,Commercial Forestry,Big Island,22.77969933
+20.02553835,-155.45572264,training,0.0,Commercial Forestry,Big Island,55.71770096
+20.03083959,-155.45968731,training,0.0,Commercial Forestry,Big Island,120.19799805
+20.02103555,-155.46437408,training,0.0,Commercial Forestry,Big Island,39.46849823
+20.02341051,-155.46658182,training,0.0,Commercial Forestry,Big Island,14.11839962
+20.02350473,-155.46908706,training,0.0,Commercial Forestry,Big Island,27.48119926
+20.03218937,-155.46276249,training,0.0,Commercial Forestry,Big Island,116.50900269
+20.03304482,-155.46454303,training,0.0,Commercial Forestry,Big Island,49.121299740000005
+20.03172894,-155.46990862,training,0.0,Commercial Forestry,Big Island,66.54149627999999
+20.0360083,-155.4651785,training,0.0,Commercial Forestry,Big Island,79.42749786
+20.03334587,-155.470553,training,0.0,Commercial Forestry,Big Island,15.3920002
+20.0267979,-155.47637958,training,0.0,Commercial Forestry,Big Island,41.77420044
+20.02404795,-155.47375256,training,0.0,Commercial Forestry,Big Island,13.59440041
+20.0290316,-155.47868936,training,0.0,Commercial Forestry,Big Island,49.23210144
+20.03533136,-155.47168728,training,0.0,Commercial Forestry,Big Island,95.29429626
+20.04234945,-155.46503472,training,0.0,Commercial Forestry,Big Island,18.39489937
+20.04687039,-155.46349385,training,0.0,Commercial Forestry,Big Island,27.45949936
+20.04807968,-155.45945574,training,0.0,Commercial Forestry,Big Island,53.68780136
+20.04610074,-155.4569469,training,0.0,Commercial Forestry,Big Island,28.04150009
+20.04095674,-155.4585472,training,0.0,Commercial Forestry,Big Island,48.45970154
+20.037311,-155.45582503,training,0.0,Commercial Forestry,Big Island,33.06629944
+20.01857235,-155.4606384,training,0.0,Commercial Forestry,Big Island,25.96360016
+19.27174885,-155.46016353,training,0.0,Commercial Forestry,Big Island,72.41040038999999
+19.27530308,-155.45582391,training,0.0,Commercial Forestry,Big Island,31.91309929
+19.280719,-155.45740493,training,0.0,Commercial Forestry,Big Island,76.42169952
+19.27780709,-155.46132147,training,0.0,Commercial Forestry,Big Island,64.28469849
+19.27511155,-155.46552743,training,0.0,Commercial Forestry,Big Island,58.6086998
+19.28528563,-155.46027877,training,0.0,Commercial Forestry,Big Island,89.44580078
+19.28273599,-155.46627418,training,0.0,Commercial Forestry,Big Island,121.29100037
+19.28147104,-155.47296943,training,0.0,Commercial Forestry,Big Island,40.854599
+19.2762096,-155.47046826,training,0.0,Commercial Forestry,Big Island,23.17149925
+19.2724598,-155.46745727,training,0.0,Commercial Forestry,Big Island,10.5532999
+19.20149709,-155.49442359,training,0.0,Commercial Forestry,Big Island,24.1833992
+19.19998998,-155.49247137,training,0.0,Commercial Forestry,Big Island,7.14330006
+19.20753452,-155.49152655,training,0.0,Commercial Forestry,Big Island,64.77600097999999
+19.20515923,-155.4933512,training,0.0,Commercial Forestry,Big Island,35.558998110000005
+19.21119984,-155.49500238,training,0.0,Commercial Forestry,Big Island,33.713500980000006
+19.20839803,-155.49700673,training,0.0,Commercial Forestry,Big Island,39.71170044
+19.2145247,-155.4979992,training,0.0,Commercial Forestry,Big Island,45.4510994
+19.21190991,-155.49954007,training,0.0,Commercial Forestry,Big Island,30.35759926
+19.21764734,-155.50215394,training,0.0,Commercial Forestry,Big Island,55.06489944
+19.21576516,-155.50464741,training,0.0,Commercial Forestry,Big Island,45.74200058
+19.22100422,-155.50608937,training,0.0,Commercial Forestry,Big Island,37.3431015
+19.21981859,-155.50857156,training,0.0,Commercial Forestry,Big Island,27.58270073
+19.22075751,-155.5135475,training,0.0,Commercial Forestry,Big Island,12.23980045
+19.21851501,-155.51508724,training,0.0,Commercial Forestry,Big Island,9.22945023
+19.22042755,-155.51571643,training,0.0,Commercial Forestry,Big Island,12.21210003
+19.21758171,-155.51695531,training,0.0,Commercial Forestry,Big Island,19.62610054
+19.21942737,-155.51958086,training,0.0,Commercial Forestry,Big Island,14.9428997
+19.22133673,-155.51934754,training,0.0,Commercial Forestry,Big Island,35.14390182
+19.22302599,-155.51830897,training,0.0,Commercial Forestry,Big Island,26.26199913
+19.22372891,-155.51282419,training,0.0,Commercial Forestry,Big Island,52.74750137
+19.22636903,-155.51019065,training,0.0,Commercial Forestry,Big Island,71.69450378
+19.23008647,-155.50691498,training,0.0,Commercial Forestry,Big Island,29.85079956
+19.22793243,-155.50366207,training,0.0,Commercial Forestry,Big Island,15.81690025
+19.22496841,-155.49945367,training,0.0,Commercial Forestry,Big Island,23.69319916
+19.22221918,-155.49437508,training,0.0,Commercial Forestry,Big Island,60.13809967
+19.21748496,-155.48853876,training,0.0,Commercial Forestry,Big Island,33.8044014
+19.21412187,-155.48581781,training,0.0,Commercial Forestry,Big Island,41.53290176
+19.2535332,-155.49776432,training,0.0,Commercial Forestry,Big Island,13.86670017
+19.25270875,-155.4943107,training,0.0,Commercial Forestry,Big Island,39.01269913
+19.25188149,-155.49115813,training,0.0,Commercial Forestry,Big Island,25.30660057
+19.25187746,-155.48907937,training,0.0,Commercial Forestry,Big Island,15.16779995
+19.25116561,-155.48739,training,0.0,Commercial Forestry,Big Island,29.0182991
+19.25687191,-155.4864731,training,0.0,Commercial Forestry,Big Island,20.68619919
+19.18498338,-155.51714329,training,0.0,Commercial Forestry,Big Island,30.54070091
+19.18830138,-155.51926373,training,0.0,Commercial Forestry,Big Island,35.97290039
+19.18335209,-155.51936421,training,0.0,Commercial Forestry,Big Island,22.20549965
+19.18651452,-155.52238627,training,0.0,Commercial Forestry,Big Island,42.09329987
+19.19064195,-155.52148235,training,0.0,Commercial Forestry,Big Island,31.11829948
+19.19568886,-155.52756608,training,0.0,Commercial Forestry,Big Island,30.33760071
+19.19316188,-155.5243177,training,0.0,Commercial Forestry,Big Island,70.80809784
+19.19162728,-155.5291488,training,0.0,Commercial Forestry,Big Island,48.16849899
+19.18912873,-155.52584767,training,0.0,Commercial Forestry,Big Island,31.79710007
+19.19405336,-155.53209186,training,0.0,Commercial Forestry,Big Island,50.58010101
+19.19949752,-155.53286177,training,0.0,Commercial Forestry,Big Island,83.79060364
+19.20722885,-155.5358121,training,0.0,Commercial Forestry,Big Island,55.1969986
+19.20015465,-155.53685256,training,0.0,Commercial Forestry,Big Island,86.14489746000001
+19.19416744,-155.53638237,training,0.0,Commercial Forestry,Big Island,25.24979973
+19.19887604,-155.540485,training,0.0,Commercial Forestry,Big Island,43.42699814
+19.19548529,-155.54208342,training,0.0,Commercial Forestry,Big Island,34.993000030000005
+19.19534677,-155.54749842,training,0.0,Commercial Forestry,Big Island,38.22710037
+19.19266126,-155.54278122,training,0.0,Commercial Forestry,Big Island,95.46970367
+19.18784072,-155.54325668,training,0.0,Commercial Forestry,Big Island,129.05099487
+19.18857416,-155.54957046,training,0.0,Commercial Forestry,Big Island,26.26939964
+19.1838942,-155.54478276,training,0.0,Commercial Forestry,Big Island,72.99620056
+19.1809391,-155.54431058,training,0.0,Commercial Forestry,Big Island,37.41579819
+19.17874715,-155.53818758,training,0.0,Commercial Forestry,Big Island,29.49119949
+19.18168307,-155.53382897,training,0.0,Commercial Forestry,Big Island,50.05319977
+19.18514886,-155.5365197,training,0.0,Commercial Forestry,Big Island,84.06020355
+19.18186965,-155.53761266,training,0.0,Commercial Forestry,Big Island,22.21619987
+19.18051683,-155.53900197,training,0.0,Commercial Forestry,Big Island,11.34700012
+19.18969907,-155.53543074,training,0.0,Commercial Forestry,Big Island,67.86250305
+19.18791395,-155.53024774,training,0.0,Commercial Forestry,Big Island,31.19589996
+19.1857322,-155.52885322,training,0.0,Commercial Forestry,Big Island,28.33119965
+19.18450397,-155.52531494,training,0.0,Commercial Forestry,Big Island,17.50749969
+19.1831885,-155.52871724,training,0.0,Commercial Forestry,Big Island,43.84469986
+19.17988748,-155.53033313,training,0.0,Commercial Forestry,Big Island,39.85419846
+19.1767508,-155.52739891,training,0.0,Commercial Forestry,Big Island,25.14529991
+19.1785324,-155.52667786,training,0.0,Commercial Forestry,Big Island,25.08819962
+19.17990797,-155.52419383,training,0.0,Commercial Forestry,Big Island,29.78949928
+19.1810082,-155.52171341,training,0.0,Commercial Forestry,Big Island,57.26959991
+19.17037066,-155.55144769,training,1.0,Coffee,Big Island,3.41734004
+19.16955689,-155.5526315,training,1.0,Coffee,Big Island,1.72849
+19.16350051,-155.5389878,training,1.0,Coffee,Big Island,6.736169820000001
+19.19500817,-155.51714907,training,1.0,Coffee,Big Island,9.48159981
+19.20396871,-155.46960008,training,1.0,Coffee,Big Island,8.29292965
+19.19699611,-155.47261018,training,1.0,Coffee,Big Island,4.35593987
+19.21240684,-155.50855584,training,1.0,Coffee,Big Island,18.34009933
+19.22301126,-155.50217424,training,0.0,Commercial Forestry,Big Island,71.01589966
+19.22540487,-155.50571169,training,0.0,Commercial Forestry,Big Island,48.95080185
+19.2201037,-155.49784507,training,0.0,Commercial Forestry,Big Island,50.72380066
+19.21095461,-155.49056455,training,1.0,Diversified Crop,Big Island,6.49652004
+19.21305898,-155.48966584,training,1.0,Diversified Crop,Big Island,27.1121006
+19.22752257,-155.45882118,training,1.0,Coffee,Big Island,1.78783
+19.23178667,-155.48069766,training,1.0,Coffee,Big Island,40.2533989
+19.24900608,-155.47729944,training,1.0,Coffee,Big Island,19.07189941
+19.25309417,-155.47598173,training,1.0,Coffee,Big Island,11.73659992
+19.25318744,-155.47102092,training,1.0,Macadamia Nuts,Big Island,11.59749985
+19.25815798,-155.47761528,training,1.0,Coffee,Big Island,14.91300011
+19.26484368,-155.4809866,training,1.0,Coffee,Big Island,4.99998999
+19.27502807,-155.47542899,training,1.0,Coffee,Big Island,3.89209008
+19.27306538,-155.47500487,training,1.0,Coffee,Big Island,6.16933012
+19.26832991,-155.48892586,training,1.0,Coffee,Big Island,5.28518009
+19.06550578,-155.57477477,training,1.0,Macadamia Nuts,Big Island,2.75661993
+19.19578223,-155.49703793,training,1.0,Coffee,Big Island,11.41149998
+19.26884965,-155.48035874,training,1.0,Coffee,Big Island,14.27659988
+19.51538923,-155.9183493,training,1.0,Macadamia Nuts,Big Island,0.24675301
+19.19350131,-155.51850981,training,1.0,Coffee,Big Island,31.38710022
+19.19644045,-155.52184603,training,1.0,Coffee,Big Island,35.88660049
+19.17066273,-155.52873007,training,1.0,Macadamia Nuts,Big Island,3.40051007
+19.19762045,-155.49061609,training,1.0,Macadamia Nuts,Big Island,69.57830048
+19.16773124,-155.51295871,training,1.0,Macadamia Nuts,Big Island,69.99019623
+20.03060376,-155.41391946,training,1.0,Coffee,Big Island,0.62509203
+19.18156489,-155.51708142,training,1.0,Macadamia Nuts,Big Island,1.91596997
+19.24334346,-155.48238816,training,1.0,Coffee,Big Island,12.85210037
+20.02986198,-155.40721573,training,1.0,Diversified Crop,Big Island,1.17324996
+20.08446874,-155.46921228,training,1.0,Diversified Crop,Big Island,1.95556998
+20.08458106,-155.46552562,training,1.0,Diversified Crop,Big Island,2.15701008
+20.08588319,-155.46586753,training,1.0,Coffee,Big Island,3.1259501
+20.08594684,-155.46728652,training,1.0,Tropical Fruits,Big Island,3.91412997
+20.03039706,-155.40358181,training,1.0,Diversified Crop,Big Island,0.765122
+20.03544326,-155.41865538,training,0.0,Flowers / Foliage / Landscape,Big Island,1.19383001
+19.21966321,-155.45988477,training,1.0,Macadamia Nuts,Big Island,48.94739914
+19.21264066,-155.48028346,training,1.0,Macadamia Nuts,Big Island,78.30899810999999
+19.21940655,-155.46525707,training,1.0,Macadamia Nuts,Big Island,60.84260178
+19.26573218,-155.47912301,training,1.0,Coffee,Big Island,5.62652016
+19.26984212,-155.48874767,training,1.0,Coffee,Big Island,4.40736008
+19.11946457,-155.56328765,training,0.0,Pasture,Big Island,18288.69921875
+19.17930754,-155.49056428,training,0.0,Pasture,Big Island,181.22999573
+19.17324899,-155.46434885,training,0.0,Pasture,Big Island,8176.569824220001
+19.20645636,-155.81355596,training,0.0,Pasture,Big Island,7942.22021484
+19.23557573,-155.49284189,training,0.0,Pasture,Big Island,1304.95996094
+19.25738011,-155.80766162,training,0.0,Pasture,Big Island,790.7050170900001
+19.27148259,-155.43346754,training,0.0,Pasture,Big Island,10.74310017
+19.28620365,-155.79994945,training,0.0,Pasture,Big Island,1033.42004395
+19.308406,-155.79179944,training,0.0,Pasture,Big Island,854.47198486
+19.32858234,-155.8284508,training,0.0,Pasture,Big Island,3776.87011719
+19.38820351,-155.80411979,training,0.0,Pasture,Big Island,23847.69921875
+19.35057242,-155.41522654,training,0.0,Pasture,Big Island,34634.3984375
+19.69416913,-155.4515476,training,0.0,Pasture,Big Island,730.6170043899999
+19.9610936,-155.72862414,training,0.0,Pasture,Big Island,30791.59960938
+20.02813969,-155.40409295,training,0.0,Pasture,Big Island,20.087799070000003
+20.03576328,-155.4146819,training,0.0,Pasture,Big Island,277.18600464
+20.03984947,-155.42213124,training,0.0,Pasture,Big Island,274.61801147
+20.04727244,-155.40881854,training,0.0,Pasture,Big Island,1138.93005371
+20.05785736,-155.43227263,training,0.0,Pasture,Big Island,74.16510009999999
+20.05439176,-155.42794343,training,0.0,Pasture,Big Island,348.78900146
+20.06077112,-155.41604804,training,0.0,Pasture,Big Island,28.07080078
+20.06291472,-155.42457908,training,0.0,Pasture,Big Island,105.08899689
+20.08836009,-155.46719313,training,0.0,Pasture,Big Island,9567.88964844
+20.23129239,-155.8835189,training,0.0,Pasture,Big Island,3672.17993164
+20.11938322,-155.82405872,training,0.0,Pasture,Big Island,43634.6015625
+19.2139792,-155.49146436,training,1.0,Diversified Crop,Big Island,2.93226004
+19.50273161,-154.9536718,training,0.0,Flowers / Foliage / Landscape,Big Island,1.62908995
+19.50370288,-154.95271567,training,0.0,Flowers / Foliage / Landscape,Big Island,0.79803902
+19.50287052,-154.95227202,training,0.0,Flowers / Foliage / Landscape,Big Island,3.27484012
+19.50149097,-154.95170536,training,0.0,Flowers / Foliage / Landscape,Big Island,3.84765005
+20.02570401,-155.64600744,training,1.0,Diversified Crop,Big Island,7.34229994
+20.01550685,-155.63966858,training,0.0,Pasture,Big Island,53.96250153
+19.67334758,-155.01077857,training,1.0,Papaya,Big Island,46.1507988
+19.85304774,-155.14537938,training,1.0,Diversified Crop,Big Island,24.33860016
+19.882642,-155.12627757,training,1.0,Tropical Fruits,Big Island,6.81956005
+19.4355778,-155.87997303,training,1.0,Coffee,Big Island,4.35984993
+19.62433384,-155.06266954,training,1.0,Papaya,Big Island,43.53020096
+19.6191955,-155.0738326,training,1.0,Papaya,Big Island,16.22550011
+19.63894604,-155.05951321,training,1.0,Papaya,Big Island,1.00936997
+19.64193258,-155.04741359,training,1.0,Papaya,Big Island,2.17104006
+19.64167895,-155.05234604,training,1.0,Papaya,Big Island,0.74308401
+19.67666818,-155.00521268,training,1.0,Papaya,Big Island,2.56800008
+19.67107826,-155.01817755,training,1.0,Macadamia Nuts,Big Island,35.582599640000005
+19.67368611,-155.01537448,training,1.0,Papaya,Big Island,2.52601004
+19.67518133,-155.00429087,training,1.0,Papaya,Big Island,6.54310989
+19.68225543,-155.0127531,training,1.0,Papaya,Big Island,24.18059921
+20.02647473,-155.38818214,training,0.0,Commercial Forestry,Big Island,40.54700089
+20.02135065,-155.36846428,training,0.0,Commercial Forestry,Big Island,16.10000038
+20.02185228,-155.37095349,training,1.0,Diversified Crop,Big Island,22.75939941
+20.02507475,-155.36369187,training,0.0,Commercial Forestry,Big Island,16.43009949
+20.05313985,-155.38866589,training,1.0,Banana,Big Island,4.58611012
+20.02671311,-155.40791382,training,1.0,Tropical Fruits,Big Island,4.39100981
+20.0305286,-155.41514796,training,1.0,Coffee,Big Island,0.59908402
+20.05287198,-155.43362801,training,1.0,Tropical Fruits,Big Island,5.45149994
+19.06301955,-155.59384982,training,1.0,Coffee,Big Island,69.72979735999999
+19.16386398,-155.54147701,training,1.0,Coffee,Big Island,4.28507996
+19.22269432,-155.8713802,training,1.0,Coffee,Big Island,7.28204012
+19.43022838,-155.89597063,training,1.0,Macadamia Nuts,Big Island,26.87829971
+19.53573512,-155.89564269,training,1.0,Diversified Crop,Big Island,74.27649688999999
+19.61489732,-155.94303301,training,1.0,Coffee,Big Island,0.95181298
+19.21472436,-155.85731869,training,1.0,Macadamia Nuts,Big Island,4.11444998
+19.88067263,-155.13347419,training,0.0,Flowers / Foliage / Landscape,Big Island,2.06028008
+19.20124023,-155.87026034,training,1.0,Macadamia Nuts,Big Island,5.97344017
+19.21122312,-155.88172223,training,1.0,Macadamia Nuts,Big Island,2.01928997
+19.45424103,-155.89280975,training,1.0,Macadamia Nuts,Big Island,6.43614006
+19.50823017,-154.86385019,training,0.0,Flowers / Foliage / Landscape,Big Island,1.03716004
+19.27979849,-155.45346505,training,0.0,Commercial Forestry,Big Island,0.00142516
+19.86568625,-155.11446712,training,0.0,Dairy,Big Island,20.38349915
+19.2097955,-155.50127238,training,1.0,Coffee,Big Island,13.63949966
+19.21275682,-155.50560961,training,1.0,Coffee,Big Island,12.101099970000002
+20.06601123,-155.56649695,training,0.0,Pasture,Big Island,8581.26953125
+20.09771041,-155.53804681,training,0.0,Pasture,Big Island,1617.67004395
+20.26287429,-155.85582065,training,1.0,Sugar,Big Island,14.07069969
+21.95537981,-159.4660891,training,0.0,Commercial Forestry,Kauai,273.0249939
+21.91919611,-159.53456655,training,1.0,Coffee,Kauai,7.43865013
+21.91930107,-159.53718904,training,1.0,Coffee,Kauai,4.64882994
+21.90001538,-159.55366238,training,1.0,Coffee,Kauai,1129.90002441
+21.92110391,-159.53722651,training,1.0,Coffee,Kauai,3.48554993
+21.91356041,-159.56583303,training,1.0,Coffee,Kauai,520.63598633
+21.9118323,-159.55209851,training,1.0,Coffee,Kauai,715.6799926799999
+21.90198748,-159.57665725,training,1.0,Coffee,Kauai,133.31900023999998
+21.89390267,-159.49861407,training,0.0,Flowers / Foliage / Landscape,Kauai,27.88949966
+21.89477967,-159.49287127,training,1.0,Coffee,Kauai,96.85590363
+21.90558758,-159.50132235,training,1.0,Diversified Crop,Kauai,16.39990044
+21.91201938,-159.49655402,training,1.0,Diversified Crop,Kauai,10.72669983
+21.90330088,-159.49534341,training,1.0,Diversified Crop,Kauai,3.90813994
+21.90744353,-159.47021918,training,1.0,Banana,Kauai,8.769490240000001
+21.9310561,-159.4744597,training,0.0,Commercial Forestry,Kauai,994.96502686
+21.946013,-159.46841638,training,1.0,Diversified Crop,Kauai,41.62200165
+21.96450121,-159.46497355,training,0.0,Commercial Forestry,Kauai,51.94380188
+21.9680308,-159.45665072,training,0.0,Commercial Forestry,Kauai,38.76639938
+21.97239027,-159.46458369,training,0.0,Commercial Forestry,Kauai,38.10400009
+21.9711541,-159.46769267,training,0.0,Commercial Forestry,Kauai,11.29020023
+21.93322977,-159.48617301,training,1.0,Tropical Fruits,Kauai,38.48170090000001
+21.90194532,-159.42182625,training,1.0,Taro,Kauai,18.17910004
+21.89894961,-159.42112916,training,1.0,Taro,Kauai,1.48758996
+22.18628651,-159.32476076,training,1.0,Diversified Crop,Kauai,114.77400208
+22.10296982,-159.30980172,training,1.0,Taro,Kauai,21.80489922
+21.98436306,-159.35463336,training,0.0,Seed Production,Kauai,176.00500488
+21.98765134,-159.37335863,training,1.0,Diversified Crop,Kauai,51.78219986
+21.99054819,-159.38078338,training,1.0,Diversified Crop,Kauai,2.35057998
+21.98641771,-159.3815244,training,1.0,Diversified Crop,Kauai,248.51899719
+21.97822913,-159.38901292,training,1.0,Diversified Crop,Kauai,6.538219929999999
+21.97885008,-159.39184875,training,1.0,Diversified Crop,Kauai,7.50010014
+21.97279701,-159.39068841,training,1.0,Diversified Crop,Kauai,41.74409866
+21.9272346,-159.60728182,training,0.0,Seed Production,Kauai,2959.09008789
+21.96013496,-159.64782608,training,0.0,Seed Production,Kauai,803.2630004900001
+22.20646372,-159.37218255,training,1.0,Diversified Crop,Kauai,72.25350189
+22.20843077,-159.38075159,training,0.0,Commercial Forestry,Kauai,145.42300415
+22.20920548,-159.39084258,training,1.0,Tropical Fruits,Kauai,3.05824995
+22.20337253,-159.39542959,training,1.0,Tropical Fruits,Kauai,6.056240079999999
+22.21138374,-159.39914215,training,0.0,Commercial Forestry,Kauai,4.21538019
+22.21494477,-159.4013397,training,0.0,Commercial Forestry,Kauai,26.79050064
+22.19919167,-159.41195784,training,1.0,Diversified Crop,Kauai,11.23840046
+22.18652494,-159.40828367,training,1.0,Tropical Fruits,Kauai,8.424039839999999
+22.20899759,-159.38907804,training,0.0,Commercial Forestry,Kauai,3.42642999
+22.19888703,-159.49772168,training,1.0,Taro,Kauai,88.00610352000001
+22.20378349,-159.51897621,training,1.0,Taro,Kauai,60.89580154
+22.19255836,-159.45505532,training,0.0,Commercial Forestry,Kauai,4.582819939999999
+22.19706864,-159.33778912,training,1.0,Tropical Fruits,Kauai,11.54080009
+22.19287521,-159.34187862,training,1.0,Tropical Fruits,Kauai,16.54129982
+22.19226725,-159.36003606,training,1.0,Diversified Crop,Kauai,0.60632098
+21.96686708,-159.657729,training,1.0,Taro,Kauai,5.20316982
+21.9794852,-159.74259587,training,0.0,Seed Production,Kauai,172.27000427000002
+22.01042878,-159.74419242,training,0.0,Seed Production,Kauai,5800.14013672
+21.99386888,-159.75446807,training,0.0,Aquaculture,Kauai,142.41200256000002
+21.98835958,-159.7514316,training,1.0,Tropical Fruits,Kauai,10.49359989
+21.94865417,-159.66043868,training,0.0,Seed Production,Kauai,100.54299927
+22.20321045,-159.49068991,training,1.0,Taro,Kauai,8.213199620000001
+21.89627899,-159.52258056,training,1.0,Coffee,Kauai,1149.90002441
+21.89116124,-159.5573596,training,0.0,Seed Production,Kauai,38.33430099
+21.90705822,-159.56526907,training,0.0,Seed Production,Kauai,13.49339962
+21.90139886,-159.58061101,training,0.0,Seed Production,Kauai,29.71549988
+21.89726441,-159.57968757,training,0.0,Seed Production,Kauai,22.98390007
+21.8924684,-159.55390117,training,0.0,Seed Production,Kauai,5.07356977
+21.88978111,-159.54990154,training,0.0,Seed Production,Kauai,8.09265995
+21.89124807,-159.54131815,training,0.0,Seed Production,Kauai,32.18389893
+21.97029539,-159.47333221,training,0.0,Commercial Forestry,Kauai,212.02000427
+21.95894105,-159.44638023,training,0.0,Commercial Forestry,Kauai,167.36399841
+21.95801616,-159.41253585,training,0.0,Seed Production,Kauai,288.93798828
+21.96025245,-159.40259482,training,0.0,Flowers / Foliage / Landscape,Kauai,75.06770325000001
+21.95496603,-159.39772466,training,0.0,Flowers / Foliage / Landscape,Kauai,15.72630024
+21.95554137,-159.39482374,training,1.0,Diversified Crop,Kauai,6.21965981
+21.97295548,-159.38198946,training,0.0,Seed Production,Kauai,37.5243988
+21.98204956,-159.38445959,training,0.0,Seed Production,Kauai,222.54600525
+22.00301646,-159.37890595,training,0.0,Seed Production,Kauai,171.34500122
+22.00502843,-159.37000629,training,0.0,Seed Production,Kauai,79.53350067000001
+22.013374,-159.36826714,training,1.0,Diversified Crop,Kauai,47.43479919
+22.00796178,-159.3598644,training,1.0,Diversified Crop,Kauai,55.41600037
+21.97319801,-159.73335688,training,0.0,Aquaculture,Kauai,9.38990021
+21.96398094,-159.65871721,training,1.0,Taro,Kauai,0.946832
+21.96824447,-159.65465486,training,1.0,Taro,Kauai,1.90720999
+21.97131028,-159.65515133,training,1.0,Diversified Crop,Kauai,3.93139005
+21.96904086,-159.64949882,training,1.0,Taro,Kauai,2.25921011
+21.97060908,-159.6477615,training,1.0,Taro,Kauai,1.78360999
+21.91401605,-159.58161018,training,1.0,Diversified Crop,Kauai,9.03971004
+21.9167204,-159.57273901,training,1.0,Diversified Crop,Kauai,9.54524994
+21.91878512,-159.57764638,training,1.0,Taro,Kauai,2.72504997
+21.9186166,-159.5757418,training,1.0,Diversified Crop,Kauai,4.199180129999999
+21.91808496,-159.57391848,training,1.0,Diversified Crop,Kauai,1.02365005
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+21.91803326,-159.58248396,training,1.0,Tropical Fruits,Kauai,1.58969998
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+22.10337004,-159.31426812,training,1.0,Diversified Crop,Kauai,1.77233005
+22.10018717,-159.3135832,training,1.0,Diversified Crop,Kauai,27.50149918
+22.20170289,-159.35420672,training,1.0,Diversified Crop,Kauai,16.298500060000002
+22.19948318,-159.36527123,training,1.0,Diversified Crop,Kauai,30.09420013
+22.20486187,-159.38547914,training,1.0,Tropical Fruits,Kauai,20.85029984
+22.20138365,-159.42159588,training,0.0,Commercial Forestry,Kauai,206.75799561
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+22.20351055,-159.46810747,training,1.0,Taro,Kauai,8.41473961
+22.20723109,-159.47229898,training,1.0,Taro,Kauai,51.91839981
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+22.19209568,-159.45370373,training,1.0,Tropical Fruits,Kauai,3.16527009
+22.18570567,-159.45586229,training,0.0,Commercial Forestry,Kauai,16.11750031
+22.21090587,-159.36969932,training,1.0,Tropical Fruits,Kauai,6.960939880000001
+22.19977835,-159.38781444,training,0.0,Commercial Forestry,Kauai,10.02770042
+22.21557605,-159.39820527,training,0.0,Commercial Forestry,Kauai,4.7824502
+22.17536776,-159.32139838,training,1.0,Diversified Crop,Kauai,0.226504
+22.17667255,-159.31902376,training,1.0,Diversified Crop,Kauai,11.31309986
+22.17678047,-159.32040697,training,1.0,Diversified Crop,Kauai,3.26320004
+22.18295092,-159.31752968,training,1.0,Diversified Crop,Kauai,7.78567982
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+22.18264137,-159.33107773,training,1.0,Diversified Crop,Kauai,57.94169998
+22.18176958,-159.32317554,training,1.0,Tropical Fruits,Kauai,264.06100464
+22.21296557,-159.54464203,training,1.0,Taro,Kauai,2.81681991
+22.1950385,-159.55521572,training,1.0,Taro,Kauai,1.27985001
+22.19281482,-159.36115403,training,1.0,Tropical Fruits,Kauai,7.23402977
+22.18187906,-159.31686904,training,1.0,Diversified Crop,Kauai,4.49931002
+22.17561419,-159.32183544,training,1.0,Diversified Crop,Kauai,1.84941006
+21.90068818,-159.49383142,training,1.0,Banana,Kauai,2.74450994
+21.89967445,-159.49390884,training,1.0,Tropical Fruits,Kauai,5.39039993
+22.20558069,-159.42669748,training,0.0,Commercial Forestry,Kauai,1.7507
+22.09938038,-159.34448728,training,1.0,Diversified Crop,Kauai,19.56080055
+22.06771161,-159.39726026,training,1.0,Diversified Crop,Kauai,28.37680054
+22.10022325,-159.37246514,training,1.0,Diversified Crop,Kauai,18.73579979
+21.89459988,-159.57336514,training,0.0,Seed Production,Kauai,21.78129959
+21.89320705,-159.54327818,training,1.0,Coffee,Kauai,43.96269989
+21.89370376,-159.54584529,training,0.0,Seed Production,Kauai,17.46879959
+22.01283591,-159.37902766,training,0.0,Seed Production,Kauai,174.97099304
+21.92453602,-159.4435551,training,0.0,Commercial Forestry,Kauai,43.2303009
+21.92112051,-159.4371727,training,0.0,Commercial Forestry,Kauai,201.33200073
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+21.9757863,-159.38132556,training,1.0,Taro,Kauai,0.42496401
+21.99772814,-159.37436453,training,0.0,Aquaculture,Kauai,31.27009964
+22.10090517,-159.34852799,training,1.0,Diversified Crop,Kauai,9.93704987
+21.91759411,-159.56997975,training,1.0,Banana,Kauai,1.50940001
+22.11184989,-159.33738309,training,0.0,Flowers / Foliage / Landscape,Kauai,21.3185997
+22.11265165,-159.34083555,training,0.0,Flowers / Foliage / Landscape,Kauai,2.58378005
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+22.11616465,-159.33410905,training,1.0,Banana,Kauai,3.4800601
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+22.11325714,-159.35052892,training,1.0,Tropical Fruits,Kauai,39.44459915
+22.0884644,-159.33617048,training,1.0,Tropical Fruits,Kauai,15.79409981
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+22.21537008,-159.41594283,training,1.0,Tropical Fruits,Kauai,35.41070175
+22.20675696,-159.42430486,training,0.0,Flowers / Foliage / Landscape,Kauai,3.99875998
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+22.21877525,-159.57651604,training,1.0,Taro,Kauai,0.480878
+22.20155838,-159.38653966,training,1.0,Diversified Crop,Kauai,2.46590996
+22.19433232,-159.38155306,training,1.0,Diversified Crop,Kauai,0.73020297
+22.2004921,-159.38604324,training,0.0,Commercial Forestry,Kauai,5.32406998
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+22.19520429,-159.36099815,training,1.0,Diversified Crop,Kauai,1.08498001
+22.19459685,-159.35573242,training,1.0,Diversified Crop,Kauai,1.65824997
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+22.10331943,-159.32734868,training,1.0,Banana,Kauai,4.39285994
+22.14259183,-159.30766599,training,1.0,Diversified Crop,Kauai,2.93299007
+22.02064872,-159.67676717,training,1.0,Diversified Crop,Kauai,11.85439968
+22.20491163,-159.42802701,training,1.0,Diversified Crop,Kauai,2.92185998
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+21.97188841,-159.64715355,training,1.0,Taro,Kauai,4.146979809999999
+21.88974072,-159.41845823,training,1.0,Taro,Kauai,1.07273996
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+22.21091113,-159.5335367,training,1.0,Taro,Kauai,0.95960599
+21.96262228,-159.45192305,training,0.0,Commercial Forestry,Kauai,9.93074989
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+21.90788663,-159.46991689,training,1.0,Taro,Kauai,2.87766004
+21.90699313,-159.46868395,training,1.0,Diversified Crop,Kauai,4.203310009999999
+21.91399052,-159.62108325,training,0.0,Seed Production,Kauai,1377.30004883
+21.91558438,-159.57879241,training,1.0,Diversified Crop,Kauai,3.71323991
+21.89813571,-159.40962812,training,0.0,Pasture,Kauai,80.92579651000001
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+21.3867777,-157.97097605,training,0.0,Flowers / Foliage / Landscape,Oahu,17.575899120000003
+21.43244769,-158.04053208,training,1.0,Banana,Oahu,37.03070068
+21.6612269,-158.0515187,training,1.0,Diversified Crop,Oahu,1.71373999
+21.39344119,-157.9757621,training,1.0,Diversified Crop,Oahu,15.13679981
+21.56408648,-158.07285681,training,1.0,Coffee,Oahu,79.50489807000001
+21.58050574,-158.07693264,training,0.0,Seed Production,Oahu,18.20140076
+21.41639884,-158.02085097,training,1.0,Diversified Crop,Oahu,114.61299896
+21.4278819,-158.0176278,training,0.0,Flowers / Foliage / Landscape,Oahu,15.72840023
+21.37422363,-158.05716936,training,1.0,Diversified Crop,Oahu,152.11199951
+21.43202069,-158.02654466,training,1.0,Tropical Fruits,Oahu,4.57527018
+21.42806334,-158.02549821,training,1.0,Tropical Fruits,Oahu,5.28138018
+21.4298048,-158.02710204,training,0.0,Flowers / Foliage / Landscape,Oahu,107.53199768
+21.3772667,-158.05286883,training,1.0,Diversified Crop,Oahu,7.62826014
+21.60051738,-158.0803436,training,0.0,Seed Production,Oahu,149.92300415
+21.67199379,-157.96334653,training,1.0,Diversified Crop,Oahu,77.46970367
+21.67113421,-157.96613366,training,1.0,Diversified Crop,Oahu,56.86600113
+21.67655836,-157.95731364,training,1.0,Diversified Crop,Oahu,3.32552004
+21.44249422,-158.04093043,training,1.0,Banana,Oahu,2.53256989
+21.42560762,-158.02163938,training,1.0,Diversified Crop,Oahu,33.996498110000005
+21.32324732,-157.67820431,training,0.0,Pasture,Oahu,2.01885009
+21.34172018,-157.73389282,training,0.0,Pasture,Oahu,9.64935017
+21.35248017,-157.72609191,training,0.0,Pasture,Oahu,9.65769005
+21.35207286,-157.72898829,training,0.0,Pasture,Oahu,6.76174021
+21.35117126,-157.72414856,training,0.0,Pasture,Oahu,33.915298459999995
+21.35425093,-157.73112088,training,0.0,Pasture,Oahu,21.86590004
+21.37292553,-157.76232249,training,0.0,Pasture,Oahu,64.8144989
+21.43252529,-157.98033662,training,0.0,Pasture,Oahu,1590.70996094
+21.46131777,-157.84382235,training,0.0,Pasture,Oahu,22.5673008
+21.46953797,-157.84562563,training,0.0,Pasture,Oahu,1.89689004
+21.48800938,-157.85289094,training,0.0,Pasture,Oahu,45.055301670000006
+21.49934128,-157.8524325,training,0.0,Pasture,Oahu,3.36836004
+21.53665108,-158.01084132,training,0.0,Pasture,Oahu,91.8246994
+21.54459615,-158.01748921,training,0.0,Pasture,Oahu,260.9710083
+21.55589753,-158.00194147,training,0.0,Pasture,Oahu,42.59059906
+21.56161213,-158.03542462,training,0.0,Pasture,Oahu,1104.73999023
+21.60578006,-158.04701556,training,0.0,Pasture,Oahu,4188.75
+21.66816013,-158.02915014,training,0.0,Pasture,Oahu,308.53799438
+21.56993276,-157.8907403,training,1.0,Diversified Crop,Oahu,1.38030005
+21.56738839,-157.89538987,training,1.0,Diversified Crop,Oahu,1.55483997
+21.47918667,-157.86054401,training,0.0,Pasture,Oahu,19.07769966
+21.51297902,-157.84799002,training,0.0,Pasture,Oahu,1.91082001
+21.51218128,-157.85069808,training,0.0,Pasture,Oahu,599.22998047
+21.65890165,-157.93878839,training,0.0,Pasture,Oahu,420.45999146
+21.34763783,-157.76860076,training,0.0,Flowers / Foliage / Landscape,Oahu,8.93346024
+21.34764089,-157.7711231,training,0.0,Flowers / Foliage / Landscape,Oahu,1.64947999
+21.34457766,-157.76876488,training,0.0,Flowers / Foliage / Landscape,Oahu,0.73936403
+21.32707139,-157.71030645,training,0.0,Pasture,Oahu,317.04699707
+21.33877933,-157.710902,training,0.0,Pasture,Oahu,6.566239830000001
+21.46211433,-158.06432061,training,0.0,Seed Production,Oahu,862.75897217
+21.44684764,-158.04824534,training,1.0,Diversified Crop,Oahu,84.82289886
+21.44264457,-158.05167335,training,1.0,Diversified Crop,Oahu,93.71130371
+21.45597751,-158.04624033,training,1.0,Diversified Crop,Oahu,33.67380142
+21.42742662,-158.05077735,training,1.0,Diversified Crop,Oahu,207.83000183
+21.40799553,-158.06198943,training,0.0,Seed Production,Oahu,94.30549622
+21.58945698,-158.09424846,training,1.0,Papaya,Oahu,67.7806015
+21.5931617,-158.09810631,training,1.0,Taro,Oahu,2.44433999
+21.58353178,-158.10796361,training,1.0,Diversified Crop,Oahu,83.91560364
+21.57823661,-158.10442776,training,0.0,Flowers / Foliage / Landscape,Oahu,0.50746399
+21.61310829,-158.08546912,training,0.0,Flowers / Foliage / Landscape,Oahu,25.21699905
+21.60733287,-158.07939987,training,0.0,Seed Production,Oahu,186.91900635
+21.60453884,-158.08245551,training,0.0,Seed Production,Oahu,36.53990173
+21.59540433,-158.08456367,training,0.0,Seed Production,Oahu,438.73001099
+21.58673734,-158.08524764,training,1.0,Diversified Crop,Oahu,37.31290054
+21.58561302,-158.08716683,training,0.0,Seed Production,Oahu,77.18699645999999
+21.58271644,-158.08801285,training,0.0,Seed Production,Oahu,188.36399841
+21.57692547,-158.08893074,training,0.0,Seed Production,Oahu,269.58401489
+21.57068731,-158.08829176,training,0.0,Seed Production,Oahu,100.87799835
+21.56416052,-158.08619465,training,1.0,Pineapple,Oahu,428.30099487
+21.54118111,-158.06140511,training,1.0,Pineapple,Oahu,2745.5500488300004
+21.55765327,-158.08969897,training,1.0,Diversified Crop,Oahu,22.57869911
+21.55461695,-158.09182351,training,1.0,Diversified Crop,Oahu,14.07009983
+21.54180347,-158.08887647,training,1.0,Diversified Crop,Oahu,41.33890152
+21.5364404,-158.08988712,training,1.0,Diversified Crop,Oahu,7.67206001
+21.55345722,-158.14086017,training,0.0,Pasture,Oahu,2077.34008789
+21.37466753,-158.08927341,training,0.0,Pasture,Oahu,4991.25
+21.53661378,-158.11365128,training,0.0,Pasture,Oahu,33.72069931
+21.55907558,-158.09651269,training,1.0,Diversified Crop,Oahu,110.70600128
+21.5668159,-158.09871402,training,0.0,Seed Production,Oahu,90.64430237
+21.56881532,-158.10422809,training,0.0,Seed Production,Oahu,172.84899901999998
+21.55967944,-158.10242481,training,1.0,Tropical Fruits,Oahu,7.81582022
+21.56203995,-158.10708634,training,1.0,Banana,Oahu,5.04589987
+21.56318387,-158.10637581,training,1.0,Diversified Crop,Oahu,6.39384985
+21.56214486,-158.10408107,training,1.0,Banana,Oahu,6.47455978
+21.54961263,-158.09956678,training,1.0,Tropical Fruits,Oahu,42.30780029
+21.55381135,-158.10287165,training,1.0,Diversified Crop,Oahu,23.26759911
+21.55836221,-158.10632677,training,0.0,Seed Production,Oahu,72.92089844
+21.55702875,-158.11186575,training,0.0,Seed Production,Oahu,139.5
+21.55691943,-158.1192152,training,1.0,Diversified Crop,Oahu,31.82920074
+21.56200118,-158.11805575,training,1.0,Diversified Crop,Oahu,57.38700104
+21.56358665,-158.12202494,training,1.0,Diversified Crop,Oahu,26.82320023
+21.56850093,-158.11478529,training,1.0,Diversified Crop,Oahu,82.99479674999999
+21.56450522,-158.11516925,training,1.0,Diversified Crop,Oahu,48.30599976
+21.57263171,-158.11981418,training,1.0,Papaya,Oahu,21.27400017
+21.57390403,-158.11744103,training,1.0,Papaya,Oahu,19.2859993
+21.57403931,-158.11501693,training,1.0,Taro,Oahu,1.24223995
+21.57711553,-158.11384421,training,1.0,Diversified Crop,Oahu,1.80636001
+21.58028076,-158.12217766,training,0.0,Aquaculture,Oahu,13.95699978
+21.57835095,-158.12113831,training,0.0,Aquaculture,Oahu,12.02789974
+21.57963143,-158.11408341,training,1.0,Diversified Crop,Oahu,17.12509918
+21.56985369,-158.12684625,training,1.0,Diversified Crop,Oahu,34.65439987
+21.57027008,-158.12324702,training,1.0,Diversified Crop,Oahu,6.62443018
+21.57854991,-158.13783608,training,0.0,Seed Production,Oahu,201.35899353
+21.57457725,-158.14474717,training,1.0,Diversified Crop,Oahu,166.98500061
+21.57947627,-158.14853859,training,1.0,Diversified Crop,Oahu,11.65600014
+21.57092214,-158.13222318,training,1.0,Diversified Crop,Oahu,55.99330139
+21.57343697,-158.13530369,training,0.0,Seed Production,Oahu,59.47340012
+21.57845914,-158.16416766,training,0.0,Pasture,Oahu,44.38010025
+21.56379952,-158.14412168,training,0.0,Seed Production,Oahu,1408.31005859
+21.56576173,-158.13126738,training,1.0,Diversified Crop,Oahu,70.14279938
+21.55100928,-158.13539711,training,1.0,Tropical Fruits,Oahu,28.00189972
+21.56492549,-158.16062783,training,1.0,Tropical Fruits,Oahu,102.08000183
+21.50691579,-158.21919511,training,0.0,Pasture,Oahu,628.48602295
+21.46068424,-158.16621814,training,1.0,Diversified Crop,Oahu,21.57999992
+21.45563336,-158.17186261,training,1.0,Diversified Crop,Oahu,5.21169996
+21.46368153,-158.16859156,training,1.0,Diversified Crop,Oahu,23.65500069
+21.46736241,-158.16506336,training,1.0,Diversified Crop,Oahu,5.97392988
+21.46556696,-158.16350782,training,1.0,Diversified Crop,Oahu,8.90600014
+21.46599861,-158.16050775,training,1.0,Diversified Crop,Oahu,11.09249973
+21.46374051,-158.16512721,training,1.0,Diversified Crop,Oahu,4.95574999
+21.46507828,-158.15983484,training,0.0,Pasture,Oahu,3.65867996
+21.46527796,-158.15296229,training,0.0,Pasture,Oahu,39.3288002
+21.45000874,-158.17450083,training,1.0,Diversified Crop,Oahu,4.44489002
+21.45137669,-158.17479068,training,1.0,Diversified Crop,Oahu,2.96472001
+21.45217307,-158.1754819,training,1.0,Diversified Crop,Oahu,2.61367989
+21.45002049,-158.17712751,training,1.0,Diversified Crop,Oahu,11.96140003
+21.45091677,-158.17867431,training,1.0,Diversified Crop,Oahu,7.1954298
+21.4540935,-158.17740702,training,1.0,Diversified Crop,Oahu,8.02665997
+21.45410217,-158.179763,training,1.0,Diversified Crop,Oahu,2.58139992
+21.45552448,-158.18054048,training,1.0,Diversified Crop,Oahu,6.37475014
+21.45616586,-158.17860594,training,1.0,Diversified Crop,Oahu,4.052810190000001
+21.45732321,-158.18214273,training,1.0,Diversified Crop,Oahu,10.53489971
+21.44956448,-158.1808201,training,1.0,Tropical Fruits,Oahu,1.01605999
+21.45255557,-158.17909031,training,1.0,Diversified Crop,Oahu,4.09998989
+21.46422679,-158.1807639,training,0.0,Flowers / Foliage / Landscape,Oahu,1.55815005
+21.46276235,-158.17781393,training,1.0,Tropical Fruits,Oahu,5.518280030000001
+21.46402296,-158.17878586,training,0.0,Flowers / Foliage / Landscape,Oahu,1.87943995
+21.45301464,-158.1553977,training,1.0,Diversified Crop,Oahu,33.83539963
+21.45404034,-158.15715517,training,1.0,Diversified Crop,Oahu,2.03006005
+21.4496424,-158.15673285,training,1.0,Diversified Crop,Oahu,2.32971001
+21.45343049,-158.15903792,training,1.0,Diversified Crop,Oahu,2.53864002
+21.45203359,-158.15448708,training,1.0,Diversified Crop,Oahu,3.04184008
+21.44557318,-158.15263365,training,1.0,Diversified Crop,Oahu,8.260869979999999
+21.44940168,-158.15006208,training,1.0,Diversified Crop,Oahu,6.06369019
+21.44867107,-158.15378492,training,1.0,Diversified Crop,Oahu,6.57328987
+21.45069766,-158.14912733,training,1.0,Diversified Crop,Oahu,8.16469955
+21.44834599,-158.14900498,training,1.0,Diversified Crop,Oahu,6.87404013
+21.44719443,-158.1495601,training,1.0,Diversified Crop,Oahu,4.58606005
+21.45063008,-158.15254081,training,0.0,Flowers / Foliage / Landscape,Oahu,4.14283991
+21.44127923,-158.15194691,training,1.0,Diversified Crop,Oahu,7.701389789999999
+21.44342424,-158.15197767,training,1.0,Diversified Crop,Oahu,11.31809998
+21.44246226,-158.15514201,training,1.0,Diversified Crop,Oahu,22.48530006
+21.4434587,-158.15858747,training,1.0,Diversified Crop,Oahu,2.64984989
+21.44341751,-158.15949223,training,1.0,Diversified Crop,Oahu,0.81344903
+21.44188012,-158.15803973,training,1.0,Diversified Crop,Oahu,4.478569980000001
+21.44330517,-158.1486799,training,1.0,Diversified Crop,Oahu,9.13156033
+21.44326265,-158.14772827,training,0.0,Flowers / Foliage / Landscape,Oahu,3.52057004
+21.44059478,-158.15449973,training,1.0,Diversified Crop,Oahu,6.45972013
+21.44373127,-158.15703722,training,1.0,Diversified Crop,Oahu,3.39568996
+21.44287917,-158.15672292,training,0.0,Flowers / Foliage / Landscape,Oahu,0.71575302
+21.44049164,-158.16452498,training,1.0,Diversified Crop,Oahu,8.98847961
+21.44118274,-158.16103536,training,0.0,Flowers / Foliage / Landscape,Oahu,10.6892004
+21.44277854,-158.16453939,training,1.0,Diversified Crop,Oahu,9.25317955
+21.44604556,-158.15725059,training,1.0,Diversified Crop,Oahu,3.09092999
+21.44910226,-158.16156956,training,1.0,Diversified Crop,Oahu,9.54897976
+21.44658242,-158.16450421,training,1.0,Diversified Crop,Oahu,8.52445984
+21.44403859,-158.16128826,training,0.0,Flowers / Foliage / Landscape,Oahu,1.43385994
+21.44257765,-158.16175029,training,0.0,Flowers / Foliage / Landscape,Oahu,1.09933996
+21.44390975,-158.16247725,training,1.0,Diversified Crop,Oahu,3.35946989
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+21.44533298,-158.16065846,training,1.0,Diversified Crop,Oahu,3.21667004
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+21.44086654,-158.16686281,training,1.0,Diversified Crop,Oahu,0.99351799
+21.44025481,-158.16797689,training,0.0,Flowers / Foliage / Landscape,Oahu,2.16762996
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+21.43728379,-158.16458532,training,1.0,Diversified Crop,Oahu,5.27066994
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+21.43769793,-158.16973636,training,0.0,Flowers / Foliage / Landscape,Oahu,1.76312995
+21.43617174,-158.16354372,training,0.0,Flowers / Foliage / Landscape,Oahu,2.94050002
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+21.42605787,-158.17000054,training,0.0,Flowers / Foliage / Landscape,Oahu,3.1306901
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+21.42358469,-158.17286945,training,0.0,Flowers / Foliage / Landscape,Oahu,2.77858996
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+21.42837369,-158.17431067,training,1.0,Diversified Crop,Oahu,0.665066
+21.42714762,-158.17245213,training,0.0,Flowers / Foliage / Landscape,Oahu,1.10169995
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diff --git a/maps/Hawaii/HawaiiCEO2020.csv b/maps/Hawaii/HawaiiCEO2020.csv
new file mode 100644
index 00000000..677be012
--- /dev/null
+++ b/maps/Hawaii/HawaiiCEO2020.csv
@@ -0,0 +1,1114 @@
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diff --git a/maps/Hawaii/prepare_GEE_datasets.ipynb b/maps/Hawaii/prepare_GEE_datasets.ipynb
new file mode 100644
index 00000000..a335e84f
--- /dev/null
+++ b/maps/Hawaii/prepare_GEE_datasets.ipynb
@@ -0,0 +1,471 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c5a6a929",
+   "metadata": {},
+   "source": [
+    "# Prepare Google Earth Engine Dataset\n",
+    "\n",
+    "Author: Ivan Zvonkov\n",
+    "\n",
+    "Last modified: June 25, 2024\n",
+    "\n",
+    "Description: Takes processed csv files from data/datasets and converts to simple csv to be uploaded as a GEE table asset.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cb3ff67a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7da9601a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df1 = pd.read_csv(\"../../data/datasets/Hawaii_CEO_2020.csv\")\n",
+    "df2 = pd.read_csv(\"../../data/datasets/HawaiiAgriculturalLandUse2020.csv\")\n",
+    "df3 = pd.read_csv(\"../../data/datasets/HawaiiAgriculturalLandUse2020Subset.csv\")\n",
+    "df4 = pd.read_csv(\"../../data/datasets/HawaiiCorrective2020.csv\")\n",
+    "df5 = pd.read_csv(\"../../data/datasets/HawaiiCorrectiveGuided2020.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "5c36b899",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "renames = {\"class_probability\": \"is_crop\", \"lat\": \"latitude\", \"lon\": \"longitude\"}\n",
+    "for df in [df1, df2, df3, df4, df5]:\n",
+    "    df.rename(columns=renames, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "b95163af",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df1 = df1[(df1[\"is_crop\"] != 0.5) & (df1[\"num_labelers\"] > 1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "e4b3013f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>objectid</th>\n",
+       "      <th>crops_2020</th>\n",
+       "      <th>island</th>\n",
+       "      <th>acreage</th>\n",
+       "      <th>st_areasha</th>\n",
+       "      <th>st_perimet</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>start_date</th>\n",
+       "      <th>end_date</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>subset</th>\n",
+       "      <th>is_crop</th>\n",
+       "      <th>eo_status</th>\n",
+       "      <th>eo_data</th>\n",
+       "      <th>eo_lat</th>\n",
+       "      <th>eo_lon</th>\n",
+       "      <th>eo_file</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3603</td>\n",
+       "      <td>Macadamia Nuts</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>74.251099</td>\n",
+       "      <td>3.009922e+05</td>\n",
+       "      <td>2493.443380</td>\n",
+       "      <td>POLYGON ((-155.48163800219658 19.2501737246023...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.246651</td>\n",
+       "      <td>-155.478457</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-10.722673840989376, -16.00940534093112, 891...</td>\n",
+       "      <td>19.246630</td>\n",
+       "      <td>-155.478478</td>\n",
+       "      <td>min_lat=19.2459_min_lon=-155.4792_max_lat=19.2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>534</td>\n",
+       "      <td>Diversified Crop</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>5.286180</td>\n",
+       "      <td>2.141438e+04</td>\n",
+       "      <td>776.452401</td>\n",
+       "      <td>POLYGON ((-155.6856571491883 20.01503428014222...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>20.015103</td>\n",
+       "      <td>-155.685940</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-8.725794581725804, -14.326780156285752, 891...</td>\n",
+       "      <td>20.015138</td>\n",
+       "      <td>-155.685899</td>\n",
+       "      <td>min_lat=20.0144_min_lon=-155.6867_max_lat=20.0...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>667</td>\n",
+       "      <td>Macadamia Nuts</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>5.012700</td>\n",
+       "      <td>2.029946e+04</td>\n",
+       "      <td>601.945311</td>\n",
+       "      <td>POLYGON ((-155.80039286358922 20.2220171318779...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>20.222997</td>\n",
+       "      <td>-155.800529</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-11.246407877966822, -17.39068462501195, 934...</td>\n",
+       "      <td>20.223008</td>\n",
+       "      <td>-155.800524</td>\n",
+       "      <td>min_lat=20.2223_min_lon=-155.8013_max_lat=20.2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4630</td>\n",
+       "      <td>Diversified Crop</td>\n",
+       "      <td>Oahu</td>\n",
+       "      <td>7.672060</td>\n",
+       "      <td>3.084165e+04</td>\n",
+       "      <td>700.092454</td>\n",
+       "      <td>POLYGON ((-158.09106890904232 21.5366251785891...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>21.536440</td>\n",
+       "      <td>-158.089887</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-9.661015311449251, -14.91925380361867, 1013...</td>\n",
+       "      <td>21.536435</td>\n",
+       "      <td>-158.089881</td>\n",
+       "      <td>min_lat=21.5357_min_lon=-158.0907_max_lat=21.5...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2049</td>\n",
+       "      <td>Banana</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>2.363230</td>\n",
+       "      <td>9.591609e+03</td>\n",
+       "      <td>456.477891</td>\n",
+       "      <td>POLYGON ((-155.1010169799786 19.8448752701613,...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.844294</td>\n",
+       "      <td>-155.101180</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-2.496108260734728, -12.64099781026996, 928....</td>\n",
+       "      <td>19.844279</td>\n",
+       "      <td>-155.101186</td>\n",
+       "      <td>min_lat=19.8436_min_lon=-155.1019_max_lat=19.8...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>324</th>\n",
+       "      <td>2613</td>\n",
+       "      <td>Macadamia Nuts</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>74.481201</td>\n",
+       "      <td>3.015362e+05</td>\n",
+       "      <td>4541.133044</td>\n",
+       "      <td>POLYGON ((-155.87706622087327 19.4260830277771...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.423378</td>\n",
+       "      <td>-155.876224</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-11.05321712725342, -15.104622713257791, 741...</td>\n",
+       "      <td>19.423418</td>\n",
+       "      <td>-155.876252</td>\n",
+       "      <td>min_lat=19.4227_min_lon=-155.877_max_lat=19.42...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>325</th>\n",
+       "      <td>2320</td>\n",
+       "      <td>Diversified Crop</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>42.515499</td>\n",
+       "      <td>1.725014e+05</td>\n",
+       "      <td>2147.460583</td>\n",
+       "      <td>POLYGON ((-155.20195491459984 19.9541256475104...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.954389</td>\n",
+       "      <td>-155.200474</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-8.09734605030693, -14.13202783099192, 1066....</td>\n",
+       "      <td>19.954412</td>\n",
+       "      <td>-155.200449</td>\n",
+       "      <td>min_lat=19.9537_min_lon=-155.2012_max_lat=19.9...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>326</th>\n",
+       "      <td>2257</td>\n",
+       "      <td>Pasture</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>4863.270020</td>\n",
+       "      <td>1.973283e+07</td>\n",
+       "      <td>36291.822574</td>\n",
+       "      <td>POLYGON ((-155.18463196245165 19.9350945456247...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.914885</td>\n",
+       "      <td>-155.190268</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-4.374754888392252, -12.005911387399252, 842...</td>\n",
+       "      <td>19.914886</td>\n",
+       "      <td>-155.190298</td>\n",
+       "      <td>min_lat=19.9142_min_lon=-155.191_max_lat=19.91...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>327</th>\n",
+       "      <td>2669</td>\n",
+       "      <td>Coffee</td>\n",
+       "      <td>Big Island</td>\n",
+       "      <td>2.989330</td>\n",
+       "      <td>1.210244e+04</td>\n",
+       "      <td>481.842392</td>\n",
+       "      <td>POLYGON ((-155.87237324345375 19.4302840532736...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>19.430577</td>\n",
+       "      <td>-155.871562</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-8.753316229223827, -16.630732275651, 852.0,...</td>\n",
+       "      <td>19.430605</td>\n",
+       "      <td>-155.871581</td>\n",
+       "      <td>min_lat=19.4299_min_lon=-155.8723_max_lat=19.4...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>328</th>\n",
+       "      <td>292</td>\n",
+       "      <td>Diversified Crop</td>\n",
+       "      <td>Maui</td>\n",
+       "      <td>7.509740</td>\n",
+       "      <td>3.039093e+04</td>\n",
+       "      <td>1076.859052</td>\n",
+       "      <td>POLYGON ((-155.99494905496394 20.7630490675620...</td>\n",
+       "      <td>2020-01-01</td>\n",
+       "      <td>2021-12-31</td>\n",
+       "      <td>20.763077</td>\n",
+       "      <td>-155.996562</td>\n",
+       "      <td>training</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>eo_data_complete</td>\n",
+       "      <td>[[-2.6817589591483837, -13.970458916051305, 10...</td>\n",
+       "      <td>20.763076</td>\n",
+       "      <td>-155.996536</td>\n",
+       "      <td>min_lat=20.7624_min_lon=-155.9973_max_lat=20.7...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>329 rows × 18 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     objectid        crops_2020      island      acreage    st_areasha  \\\n",
+       "0        3603    Macadamia Nuts  Big Island    74.251099  3.009922e+05   \n",
+       "1         534  Diversified Crop  Big Island     5.286180  2.141438e+04   \n",
+       "2         667    Macadamia Nuts  Big Island     5.012700  2.029946e+04   \n",
+       "3        4630  Diversified Crop        Oahu     7.672060  3.084165e+04   \n",
+       "4        2049            Banana  Big Island     2.363230  9.591609e+03   \n",
+       "..        ...               ...         ...          ...           ...   \n",
+       "324      2613    Macadamia Nuts  Big Island    74.481201  3.015362e+05   \n",
+       "325      2320  Diversified Crop  Big Island    42.515499  1.725014e+05   \n",
+       "326      2257           Pasture  Big Island  4863.270020  1.973283e+07   \n",
+       "327      2669            Coffee  Big Island     2.989330  1.210244e+04   \n",
+       "328       292  Diversified Crop        Maui     7.509740  3.039093e+04   \n",
+       "\n",
+       "       st_perimet                                           geometry  \\\n",
+       "0     2493.443380  POLYGON ((-155.48163800219658 19.2501737246023...   \n",
+       "1      776.452401  POLYGON ((-155.6856571491883 20.01503428014222...   \n",
+       "2      601.945311  POLYGON ((-155.80039286358922 20.2220171318779...   \n",
+       "3      700.092454  POLYGON ((-158.09106890904232 21.5366251785891...   \n",
+       "4      456.477891  POLYGON ((-155.1010169799786 19.8448752701613,...   \n",
+       "..            ...                                                ...   \n",
+       "324   4541.133044  POLYGON ((-155.87706622087327 19.4260830277771...   \n",
+       "325   2147.460583  POLYGON ((-155.20195491459984 19.9541256475104...   \n",
+       "326  36291.822574  POLYGON ((-155.18463196245165 19.9350945456247...   \n",
+       "327    481.842392  POLYGON ((-155.87237324345375 19.4302840532736...   \n",
+       "328   1076.859052  POLYGON ((-155.99494905496394 20.7630490675620...   \n",
+       "\n",
+       "     start_date    end_date   latitude   longitude    subset  is_crop  \\\n",
+       "0    2020-01-01  2021-12-31  19.246651 -155.478457  training      1.0   \n",
+       "1    2020-01-01  2021-12-31  20.015103 -155.685940  training      1.0   \n",
+       "2    2020-01-01  2021-12-31  20.222997 -155.800529  training      1.0   \n",
+       "3    2020-01-01  2021-12-31  21.536440 -158.089887  training      1.0   \n",
+       "4    2020-01-01  2021-12-31  19.844294 -155.101180  training      1.0   \n",
+       "..          ...         ...        ...         ...       ...      ...   \n",
+       "324  2020-01-01  2021-12-31  19.423378 -155.876224  training      1.0   \n",
+       "325  2020-01-01  2021-12-31  19.954389 -155.200474  training      1.0   \n",
+       "326  2020-01-01  2021-12-31  19.914885 -155.190268  training      1.0   \n",
+       "327  2020-01-01  2021-12-31  19.430577 -155.871562  training      1.0   \n",
+       "328  2020-01-01  2021-12-31  20.763077 -155.996562  training      1.0   \n",
+       "\n",
+       "            eo_status                                            eo_data  \\\n",
+       "0    eo_data_complete  [[-10.722673840989376, -16.00940534093112, 891...   \n",
+       "1    eo_data_complete  [[-8.725794581725804, -14.326780156285752, 891...   \n",
+       "2    eo_data_complete  [[-11.246407877966822, -17.39068462501195, 934...   \n",
+       "3    eo_data_complete  [[-9.661015311449251, -14.91925380361867, 1013...   \n",
+       "4    eo_data_complete  [[-2.496108260734728, -12.64099781026996, 928....   \n",
+       "..                ...                                                ...   \n",
+       "324  eo_data_complete  [[-11.05321712725342, -15.104622713257791, 741...   \n",
+       "325  eo_data_complete  [[-8.09734605030693, -14.13202783099192, 1066....   \n",
+       "326  eo_data_complete  [[-4.374754888392252, -12.005911387399252, 842...   \n",
+       "327  eo_data_complete  [[-8.753316229223827, -16.630732275651, 852.0,...   \n",
+       "328  eo_data_complete  [[-2.6817589591483837, -13.970458916051305, 10...   \n",
+       "\n",
+       "        eo_lat      eo_lon                                            eo_file  \n",
+       "0    19.246630 -155.478478  min_lat=19.2459_min_lon=-155.4792_max_lat=19.2...  \n",
+       "1    20.015138 -155.685899  min_lat=20.0144_min_lon=-155.6867_max_lat=20.0...  \n",
+       "2    20.223008 -155.800524  min_lat=20.2223_min_lon=-155.8013_max_lat=20.2...  \n",
+       "3    21.536435 -158.089881  min_lat=21.5357_min_lon=-158.0907_max_lat=21.5...  \n",
+       "4    19.844279 -155.101186  min_lat=19.8436_min_lon=-155.1019_max_lat=19.8...  \n",
+       "..         ...         ...                                                ...  \n",
+       "324  19.423418 -155.876252  min_lat=19.4227_min_lon=-155.877_max_lat=19.42...  \n",
+       "325  19.954412 -155.200449  min_lat=19.9537_min_lon=-155.2012_max_lat=19.9...  \n",
+       "326  19.914886 -155.190298  min_lat=19.9142_min_lon=-155.191_max_lat=19.91...  \n",
+       "327  19.430605 -155.871581  min_lat=19.4299_min_lon=-155.8723_max_lat=19.4...  \n",
+       "328  20.763076 -155.996536  min_lat=20.7624_min_lon=-155.9973_max_lat=20.7...  \n",
+       "\n",
+       "[329 rows x 18 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "d5cb5df1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "keep_columns = [\"latitude\", \"longitude\", \"subset\", \"is_crop\"]\n",
+    "\n",
+    "df1[keep_columns].to_csv(\"HawaiiCEO2020.csv\", index=False)\n",
+    "df2[keep_columns + [\"crops_2020\", \"island\", \"acreage\"]].to_csv(\"HawaiiAgriculturalLandUse2020.csv\", index=False)\n",
+    "df4[keep_columns].to_csv(\"MauiCorrective2020.csv\", index=False)\n",
+    "df5[keep_columns].to_csv(\"MauiCorrectiveGuided2020.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d424a2d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/maps/Sudan/intercomparison.ipynb b/maps/Sudan/intercomparison_2022.ipynb
similarity index 100%
rename from maps/Sudan/intercomparison.ipynb
rename to maps/Sudan/intercomparison_2022.ipynb
diff --git a/maps/Sudan/intercomparison_east_2022.ipynb b/maps/Sudan/intercomparison_east_2022.ipynb
new file mode 100644
index 00000000..11932e52
--- /dev/null
+++ b/maps/Sudan/intercomparison_east_2022.ipynb
@@ -0,0 +1,480 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "62f2a2e4",
+   "metadata": {},
+   "source": [
+    "# Intercomparison\n",
+    "\n",
+    "**Author:** Ivan Zvonkov\n",
+    "\n",
+    "**Last updated:** May 1, 2024\n",
+    "\n",
+    "**Description:** Runs intercomparison for Sudan Al Qadarif, Al Jazirah 2022\n",
+    "\n",
+    "## 1. Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f609c57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#earthengine authenticate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "98ddd95c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ee\n",
+    "import geemap\n",
+    "import sys\n",
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "from pathlib import Path\n",
+    "\n",
+    "ee.Initialize()\n",
+    "\n",
+    "sys.path.append(\"../..\")\n",
+    "\n",
+    "from src.compare_covermaps import TARGETS, filter_by_bounds, generate_report, CLASS_COL, COUNTRY_COL\n",
+    "from src.compare_covermaps import TEST_COUNTRIES, TEST_CODE"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09b2f8c5",
+   "metadata": {},
+   "source": [
+    "## 2. Read in evaluation set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "21c710f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"GedarefDarfurAlJazirah2022_gee2.csv\")\n",
+    "df = df[df[\"label\"] != 0.5].copy()\n",
+    "\n",
+    "# Keep only Al Jazirah and Al Qadarif\n",
+    "df = df[df[\"longitude\"] > 30].copy()\n",
+    "\n",
+    "# To fit intercomparison code\n",
+    "df[\"lon\"] = df[\"longitude\"]\n",
+    "df[\"lat\"] = df[\"latitude\"]\n",
+    "df[\"binary\"] = df[\"label\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b2a7c5c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "training      176\n",
+       "testing       168\n",
+       "validation    135\n",
+       "Name: subset, dtype: int64"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"subset\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "9bb942fd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude), crs=\"epsg:4326\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5bbca5d0",
+   "metadata": {},
+   "source": [
+    "## 3. Run intercomparison"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "c47ba5d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "TARGETS = {k:v for k,v in TARGETS.items()}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "7cac8859",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[GedarefDarfurAlJazirah2022] sampling copernicus...\n",
+      "[GedarefDarfurAlJazirah2022] sampling worldcover-v100...\n",
+      "[GedarefDarfurAlJazirah2022] sampling worldcover-v200...\n",
+      "[GedarefDarfurAlJazirah2022] sampling worldcereal-v100...\n",
+      "[GedarefDarfurAlJazirah2022] sampling glad...\n",
+      "[GedarefDarfurAlJazirah2022] sampling asap...\n",
+      "[GedarefDarfurAlJazirah2022] sampling dynamicworld...\n",
+      "[GedarefDarfurAlJazirah2022] sampling gfsad-gcep...\n",
+      "[GedarefDarfurAlJazirah2022] sampling gfsad-lgrip...\n",
+      "[GedarefDarfurAlJazirah2022] sampling digital-earth-africa...\n",
+      "[GedarefDarfurAlJazirah2022] sampling esa-cci-africa...\n",
+      "[GedarefDarfurAlJazirah2022] sampling globcover-v23...\n",
+      "[GedarefDarfurAlJazirah2022] sampling globcover-v22...\n",
+      "[GedarefDarfurAlJazirah2022] sampling esri-lulc...\n",
+      "[GedarefDarfurAlJazirah2022] sampling nabil-etal-2021...\n"
+     ]
+    }
+   ],
+   "source": [
+    "country = \"GedarefDarfurAlJazirah2022\"\n",
+    "df[\"country\"] = country\n",
+    "for cropmap in TARGETS.values():\n",
+    "    if country not in cropmap.countries:\n",
+    "        continue\n",
+    "    print(f\"[{country}] sampling \" + cropmap.title + \"...\")\n",
+    "    map_sampled = cropmap.extract_test(gdf).copy()\n",
+    "    gdf = pd.merge(gdf, map_sampled, on=[\"lat\", \"lon\"], how=\"left\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "ced5cce0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for copernicus...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for worldcover-v100...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for worldcover-v200...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for worldcereal-v100...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for glad...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for asap...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for dynamicworld...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for gfsad-gcep...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for gfsad-lgrip...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for digital-earth-africa...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for esa-cci-africa...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for globcover-v23...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for globcover-v22...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for esri-lulc...\n",
+      "[GedarefDarfurAlJazirah2022] calculating pixel area for nabil-etal-2021...\n"
+     ]
+    }
+   ],
+   "source": [
+    "a_j = {}\n",
+    "for cropmap in TARGETS.values():\n",
+    "    if country not in cropmap.countries:\n",
+    "        continue\n",
+    "    print(f\"[{country}] calculating pixel area for \" + cropmap.title + \"...\")\n",
+    "    a_j[cropmap.title] = cropmap.compute_map_area(country, country).copy()\n",
+    "    # compute map area doesn't work as in template. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "bcda16f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:386: RuntimeWarning: invalid value encountered in divide\n",
+      "  u_j = p_jjs / p_dotjs\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:455: RuntimeWarning: invalid value encountered in divide\n",
+      "  n_i_px = ((a_j / cm.sum(axis=0) * cm).sum(axis=1)).astype(np.uint64)\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:455: RuntimeWarning: invalid value encountered in cast\n",
+      "  n_i_px = ((a_j / cm.sum(axis=0) * cm).sum(axis=1)).astype(np.uint64)\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:464: RuntimeWarning: invalid value encountered in divide\n",
+      "  cm_div = cm / n_j_su\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:595: RuntimeWarning: invalid value encountered in scalar divide\n",
+      "  expr1 = 2 * (r * dp + p * dr) / (p + r)\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:596: RuntimeWarning: invalid value encountered in scalar divide\n",
+      "  expr2 = ((2 * p * r) * (dp + dr)) / ((p + r) * (p + r))\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/compare_covermaps.py:701: RuntimeWarning: invalid value encountered in divide\n",
+      "  w_j = a_j / total_px\n",
+      "/Users/izvonkov/nasaharvest/crop-mask/maps/Sudan/../../src/area_utils.py:477: RuntimeWarning: divide by zero encountered in divide\n",
+      "  expr_3 = 1 / n_i_px**2\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Ensemble maps: ['glad', 'worldcover-v200', 'esri-lulc']\n"
+     ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "'ensemble-subset'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[35], line 17\u001b[0m\n\u001b[1;32m     15\u001b[0m ensemble \u001b[38;5;241m=\u001b[39m gdf[ensemble_maps]\u001b[38;5;241m.\u001b[39mmode(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     16\u001b[0m \u001b[38;5;66;03m#a_j['ensemble-subset'] = get_ensemble_area(country, [TARGETS[name] for name in ensemble_maps])\u001b[39;00m\n\u001b[0;32m---> 17\u001b[0m comparison \u001b[38;5;241m=\u001b[39m generate_report(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensemble-subset\u001b[39m\u001b[38;5;124m\"\u001b[39m, country, gdf[CLASS_COL], ensemble, \u001b[43ma_j\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mensemble-subset\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m, area_weighted\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m     18\u001b[0m comparisons\u001b[38;5;241m.\u001b[39mappend(comparison)\n\u001b[1;32m     20\u001b[0m results \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mconcat(comparisons)\u001b[38;5;241m.\u001b[39mset_index([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdataset\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'ensemble-subset'"
+     ]
+    }
+   ],
+   "source": [
+    "comparisons = []\n",
+    "for cropmap in TARGETS.keys():\n",
+    "    if cropmap not in gdf.columns:\n",
+    "        continue\n",
+    "    temp = gdf[[CLASS_COL, cropmap]].dropna()\n",
+    "    comparison = generate_report(cropmap, country, temp[CLASS_COL], temp[cropmap], a_j[cropmap], area_weighted=False)\n",
+    "    comparisons.append(comparison)\n",
+    "\n",
+    "results = pd.concat(comparisons).set_index([\"dataset\"])\n",
+    "\n",
+    "# Add ensemble\n",
+    "ensemble_maps = [\"glad\", \"worldcover-v200\", \"esri-lulc\"] # Should be odd number\n",
+    "\n",
+    "print(f\"Ensemble maps: {ensemble_maps}\")\n",
+    "ensemble = gdf[ensemble_maps].mode(axis='columns')\n",
+    "#a_j['ensemble-subset'] = get_ensemble_area(country, [TARGETS[name] for name in ensemble_maps])\n",
+    "comparison = generate_report(\"ensemble-subset\", country, gdf[CLASS_COL], ensemble, a_j['ensemble-subset'], area_weighted=True)\n",
+    "comparisons.append(comparison)\n",
+    "\n",
+    "results = pd.concat(comparisons).set_index([\"dataset\"])\n",
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9ee40aad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x1400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "crop_proportion = round(gdf[CLASS_COL].value_counts(normalize=True)[1], 4) * 100\n",
+    "ax = results.sort_values(\"crop_f1\").plot(\n",
+    "    y=[\"accuracy\", \"crop_recall_pa\", \"crop_precision_ua\", \"crop_f1\"], \n",
+    "    xerr=\"std_crop_f1\",\n",
+    "    kind=\"barh\", \n",
+    "    figsize=(6, 14),\n",
+    "    width=0.8,\n",
+    "    title=f\"{country}: {len(gdf)} points (crop proportion: {crop_proportion}%)\",\n",
+    ");\n",
+    "\n",
+    "for c in ax.containers[1::2]:\n",
+    "    ax.bar_label(c)\n",
+    "\n",
+    "for border in [\"top\", \"right\", \"bottom\", \"left\"]:\n",
+    "    ax.spines[border].set_visible(False)\n",
+    "\n",
+    "ax.legend(bbox_to_anchor=(1, 1), reverse=True);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27ace5b0",
+   "metadata": {},
+   "source": [
+    "## 4. Visualize best available map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "70fcdc2a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "To view and export map copy and paste the text below the dashed line into GEE\n",
+      "----------------------------------------------------------------------------------------------------\n",
+      "var palettes = require('users/gena/packages:palettes');\n",
+      "var classVis = {palette: palettes.cmocean.Speed[7].slice(0,-2)}\n",
+      "var aoi = ee.FeatureCollection(\"projects/ee-gmuhawenayo/assets/rois\");\n",
+      "Map.centerObject(aoi, 7);\n",
+      "var worldcereal_v100 = ee.ImageCollection(\n",
+      "            ee.ImageCollection(\"ESA/WorldCereal/2021/MODELS/v100\")\n",
+      "            .filter('product == \"temporarycrops\"')\n",
+      "            .select(\"classification\")\n",
+      "            .mosaic()\n",
+      "        ).filterBounds(aoi).mosaic().clip(aoi);\n",
+      "worldcereal_v100 = worldcereal_v100.eq(100).rename('crop')\n",
+      "Map.addLayer(worldcereal_v100, classVis, 'Cropland from worldcereal-v100');\n",
+      "Export.image.toCloudStorage({\n",
+      "    image: worldcereal_v100,\n",
+      "    description: \"GedarefDarfurAlJazirah2022_worldcereal_v100\",\n",
+      "    bucket: 'crop-mask-preds-merged',\n",
+      "    fileNamePrefix: 'GedarefDarfurAlJazirah2022_worldcereal_v100',\n",
+      "    region: aoi,\n",
+      "    scale: 10,\n",
+      "    crs: \"EPSG:4326\",\n",
+      "    maxPixels: 1e10,\n",
+      "    skipEmptyTiles: true\n",
+      "});\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run this cell to view and export map\n",
+    "print(\"To view and export map copy and paste the text below the dashed line into GEE\\n\" + \"-\"*100)\n",
+    "best_dataset = results[\"crop_f1\"].idxmax()\n",
+    "\n",
+    "print(\"var palettes = require('users/gena/packages:palettes');\")\n",
+    "print(\"var classVis = {palette: palettes.cmocean.Speed[7].slice(0,-2)}\")\n",
+    "print('''var aoi = ee.FeatureCollection(\"projects/ee-gmuhawenayo/assets/rois\");''')\n",
+    "\n",
+    "print(\"Map.centerObject(aoi, 7);\")\n",
+    "if best_dataset in TARGETS:\n",
+    "    print(TARGETS[best_dataset].ee_script(country, include_prefix=False))\n",
+    "else:\n",
+    "    image_var_names = [TARGETS[d].title_safe for d in ensemble_maps]\n",
+    "    for i, dataset in enumerate(ensemble_maps):\n",
+    "        print(TARGETS[dataset].ee_script(country, include_prefix=(i == 0), include_export=False))\n",
+    "        print(\"\\n\")\n",
+    "    print(f\"var ensemble = ee.ImageCollection.fromImages([{', '.join(image_var_names)}]).mode()\")\n",
+    "    print(f\"Map.addLayer(ensemble, classVis, 'Cropland from ensemble');\")\n",
+    "    print(f\"\"\"\n",
+    "Export.image.toCloudStorage({{\n",
+    "    image: ensemble,\n",
+    "    description: \"{country}_ensemble_{'_'.join(image_var_names)}\",\n",
+    "    bucket: 'crop-mask-preds-merged',\n",
+    "    fileNamePrefix: \"{country}_ensemble_{'_'.join(image_var_names)}\",\n",
+    "    region: aoi,\n",
+    "    scale: 10,\n",
+    "    crs: \"EPSG:4326\",\n",
+    "    maxPixels: 1e10,\n",
+    "    skipEmptyTiles: true\n",
+    "}});\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2712b2ce",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/maps/Sudan/points_processed/points_2022_EastSudan_50subset_v3.csv b/maps/Sudan/points_processed/points_2022_EastSudan_50subset_v3.csv
new file mode 100644
index 00000000..5b0c22aa
--- /dev/null
+++ b/maps/Sudan/points_processed/points_2022_EastSudan_50subset_v3.csv
@@ -0,0 +1,547 @@
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diff --git a/maps/Sudan/points_processed/points_2023_EastSudan_50subset_v3.csv b/maps/Sudan/points_processed/points_2023_EastSudan_50subset_v3.csv
new file mode 100644
index 00000000..a04caf58
--- /dev/null
+++ b/maps/Sudan/points_processed/points_2023_EastSudan_50subset_v3.csv
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diff --git a/maps/Sudan/prepare_East_Sudan_points.ipynb b/maps/Sudan/prepare_East_Sudan_points.ipynb
new file mode 100644
index 00000000..4a214d9e
--- /dev/null
+++ b/maps/Sudan/prepare_East_Sudan_points.ipynb
@@ -0,0 +1,984 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4748cbc6",
+   "metadata": {},
+   "source": [
+    "# Prepare East Sudan Points\n",
+    "\n",
+    "**Author**: Ivan Zvonkov\n",
+    "\n",
+    "**Date Modified**: June 19, 2024\n",
+    "\n",
+    "**Description**: Processes points re-checked by SatLabel Squad into updated points for East Sudan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "322cbc97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a75f7f5e",
+   "metadata": {},
+   "source": [
+    "## 1. Load all relevant files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "97a27b65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2022_set1_rechecked = pd.read_csv(\"points_raw/ceo-Sudan-Feb-2022---Feb-2023-(Set-1)-sample-data-2024-04-29_rechecked2.csv\")\n",
+    "df2022_set2 = pd.read_csv(\"points_raw/ceo-Sudan-Feb-2022---Feb-2023-(Set-2)-sample-data-2024-05-22.csv\")\n",
+    "\n",
+    "df2023_set1_rechecked = pd.read_csv(\"points_raw/ceo-Sudan-Feb-2023---Feb-2024-(Set-1)-sample-data-2024-05-06_rechecked2.csv\")\n",
+    "df2023_set2 = pd.read_csv(\"points_raw/ceo-Sudan-Feb-2023---Feb-2024-(Set-2)-sample-data-2024-05-22.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aefb3f89",
+   "metadata": {},
+   "source": [
+    "## Check Lengths of Each CEO set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0b8b551b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1197"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df2022_set1_rechecked)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "a15741c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1207"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df2022_set2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9cb9c66e",
+   "metadata": {},
+   "source": [
+    "Not that same!\n",
+    "\n",
+    "Checking for duplicate plot ids in both"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "64865068",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "453     2\n",
+       "0       1\n",
+       "794     1\n",
+       "801     1\n",
+       "800     1\n",
+       "       ..\n",
+       "398     1\n",
+       "397     1\n",
+       "396     1\n",
+       "395     1\n",
+       "1195    1\n",
+       "Name: plotid, Length: 1196, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2022_set1_rechecked[\"plotid\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "20c0d27c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "176     2\n",
+       "358     2\n",
+       "59      2\n",
+       "454     2\n",
+       "456     2\n",
+       "       ..\n",
+       "401     1\n",
+       "400     1\n",
+       "399     1\n",
+       "398     1\n",
+       "1195    1\n",
+       "Name: plotid, Length: 1196, dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2022_set2[\"plotid\"].value_counts() "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd2149ba",
+   "metadata": {},
+   "source": [
+    "Looks like CEO allows duplicate plot ids, presumambly when two people end up labeling a single point in a single set.\n",
+    "\n",
+    "Without the duplicates though both sets in 2022 have 1196 points. \n",
+    "\n",
+    "Will deal with this later in the notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "528e5202",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1196"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df2023_set1_rechecked)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "82c4750b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1196"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df2023_set2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06d29999",
+   "metadata": {},
+   "source": [
+    "No duplicate points in 2023 good.\n",
+    "\n",
+    "During rechecking we used a new column \"Type of point\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "2361f431",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Obvious non-crop     117\n",
+       "Obvious crop          95\n",
+       "Probably crop         75\n",
+       "Probably non-crop     52\n",
+       "Name: Type of point, dtype: int64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2022_set1_rechecked[\"Type of point\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "9b8e8a55",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Obvious crop         161\n",
+       "Obvious non-crop     143\n",
+       "Probably non-crop     19\n",
+       "Probably crop         16\n",
+       "Name: Type of point, dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2023_set1_rechecked[\"Type of point\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fcff0f9",
+   "metadata": {},
+   "source": [
+    "## 2. Process Points 2022\n",
+    "\n",
+    "For each point, is it crop or not?\n",
+    "\n",
+    "Pseudocode:\n",
+    "\n",
+    "1. RECHECK OVERRIDE: If \"Type of Point\" is available, use it and ignore other set.\n",
+    "2. If not available, use agreement between sets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "ecdc89cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "is_crop_col = \"Does this pixel contain active cropland?\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "f4cefb1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate plotid: 453\n",
+      "Disagreement for plotid: 517 skipping.\n",
+      "Disagreement for plotid: 526 skipping.\n",
+      "Disagreement for plotid: 527 skipping.\n",
+      "Disagreement for plotid: 537 skipping.\n",
+      "Disagreement for plotid: 548 skipping.\n",
+      "Disagreement for plotid: 551 skipping.\n",
+      "Disagreement for plotid: 555 skipping.\n",
+      "Disagreement for plotid: 559 skipping.\n",
+      "Disagreement for plotid: 560 skipping.\n",
+      "Disagreement for plotid: 563 skipping.\n",
+      "Disagreement for plotid: 568 skipping.\n",
+      "Disagreement for plotid: 569 skipping.\n",
+      "Disagreement for plotid: 574 skipping.\n",
+      "Disagreement for plotid: 575 skipping.\n",
+      "Disagreement for plotid: 601 skipping.\n",
+      "Disagreement for plotid: 602 skipping.\n",
+      "Disagreement for plotid: 611 skipping.\n",
+      "Disagreement for plotid: 634 skipping.\n",
+      "Disagreement for plotid: 650 skipping.\n",
+      "Disagreement for plotid: 672 skipping.\n",
+      "Disagreement for plotid: 683 skipping.\n",
+      "Disagreement for plotid: 685 skipping.\n",
+      "Disagreement for plotid: 690 skipping.\n",
+      "Disagreement for plotid: 804 skipping.\n",
+      "Disagreement for plotid: 807 skipping.\n",
+      "Disagreement for plotid: 817 skipping.\n",
+      "Disagreement for plotid: 819 skipping.\n",
+      "Disagreement for plotid: 822 skipping.\n",
+      "Disagreement for plotid: 824 skipping.\n",
+      "Disagreement for plotid: 825 skipping.\n",
+      "Disagreement for plotid: 831 skipping.\n",
+      "Disagreement for plotid: 836 skipping.\n",
+      "Disagreement for plotid: 837 skipping.\n"
+     ]
+    }
+   ],
+   "source": [
+    "points_2022 = []\n",
+    "\n",
+    "for i in range(1196):\n",
+    "    point_2022_set1_rechecked = df2022_set1_rechecked[df2022_set1_rechecked[\"plotid\"] == i]\n",
+    "    \n",
+    "    # Not a duplicate plot id\n",
+    "    if len(point_2022_set1_rechecked) > 1:\n",
+    "        print(f\"Duplicate plotid: {i}\")\n",
+    "        \n",
+    "    point_2022_set1_rechecked = point_2022_set1_rechecked.iloc[0]\n",
+    "    \n",
+    "    # Keep only East Sudan points (east of 32° lon)\n",
+    "    if point_2022_set1_rechecked[\"lon\"] < 32:\n",
+    "        continue\n",
+    "\n",
+    "    # RECHECK OVERRIDE\n",
+    "    type_of_point = point_2022_set1_rechecked[\"Type of point\"]\n",
+    "    if type(type_of_point) == str:\n",
+    "        if \"non-crop\" in type_of_point:\n",
+    "            label = 0.0\n",
+    "        else:\n",
+    "            label = 1.0\n",
+    "\n",
+    "    # No recheck use agreement\n",
+    "    else:\n",
+    "        point_2022_set2 = df2022_set2[df2022_set2[\"plotid\"] == i].iloc[0]\n",
+    "        \n",
+    "        # Check agreement\n",
+    "        if point_2022_set1_rechecked[is_crop_col] == point_2022_set2[is_crop_col]:\n",
+    "            if point_2022_set2[is_crop_col] == \"Crop\":\n",
+    "                label = 1.0\n",
+    "            else:\n",
+    "                label = 0.0\n",
+    "        \n",
+    "        \n",
+    "#         # Labelers I trust a bit more set 1:\n",
+    "#         elif point_2022_set1_rechecked[\"email\"] in [\"gmuhawen@asu.edu\"]:\n",
+    "#             if point_2022_set1_rechecked[is_crop_col] == \"Crop\":\n",
+    "#                 label = 1.0\n",
+    "#             else:\n",
+    "#                 label = 0.0\n",
+    "                \n",
+    "#         # Labelers I trust a bit more set 2\n",
+    "#         elif point_2022_set2[\"email\"] in [\"izvonkov@umd.edu\", \"hkerner@umd.edu\", \"mpurohi3@asu.edu\", \"sbaber@umd.edu\"]:\n",
+    "#             if point_2022_set2[is_crop_col] == \"Crop\":\n",
+    "#                 label = 1.0\n",
+    "#             else:\n",
+    "#                 label = 0.0\n",
+    "                \n",
+    "        # Disagreement without Gedeon\n",
+    "        else:\n",
+    "            print(f\"Disagreement for plotid: {i} skipping.\")\n",
+    "            continue\n",
+    "        \n",
+    "    lat = point_2022_set1_rechecked[\"lat\"]\n",
+    "    lon = point_2022_set1_rechecked[\"lon\"]\n",
+    "    points_2022.append({\"longitude\": lon, \"latitude\": lat, \"label\": label})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ffbd0a0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2022 = pd.DataFrame(points_2022)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "7802a5c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0    311\n",
+       "0.0    235\n",
+       "Name: label, dtype: int64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2022[\"label\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4cdd2b3a",
+   "metadata": {},
+   "source": [
+    "## 4. Process Points 2023"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "40259cfb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "points_2023 = []\n",
+    "\n",
+    "for i in range(1196):\n",
+    "    point_2023_set1_rechecked = df2023_set1_rechecked[df2023_set1_rechecked[\"plotid\"] == i]\n",
+    "    \n",
+    "    # Not a duplicate plot id\n",
+    "    if len(point_2023_set1_rechecked) > 1:\n",
+    "        print(f\"Duplicate plotid: {i}\")\n",
+    "        \n",
+    "    point_2023_set1_rechecked = point_2023_set1_rechecked.iloc[0]\n",
+    "    \n",
+    "    # Keep only East Sudan points (east of 32° lon)\n",
+    "    if point_2023_set1_rechecked[\"lon\"] < 32:\n",
+    "        continue\n",
+    "\n",
+    "    # RECHECK OVERRIDE\n",
+    "    type_of_point = point_2023_set1_rechecked[\"Type of point\"]\n",
+    "    if type(type_of_point) == str:\n",
+    "        if \"non-crop\" in type_of_point:\n",
+    "            label = 0.0\n",
+    "        else:\n",
+    "            label = 1.0\n",
+    "\n",
+    "    # No recheck use agreement\n",
+    "    else:\n",
+    "        point_2023_set2 = df2023_set2[df2023_set2[\"plotid\"] == i].iloc[0]\n",
+    "        \n",
+    "        # Set 2 not labeled, default to set 1\n",
+    "        if type(point_2023_set2[is_crop_col]) != str:\n",
+    "            if point_2023_set1_rechecked[is_crop_col] == \"Crop\":\n",
+    "                label = 1.0\n",
+    "            else:\n",
+    "                label = 0.0\n",
+    "            \n",
+    "        \n",
+    "        # Check agreement\n",
+    "        elif point_2023_set1_rechecked[is_crop_col] == point_2023_set2[is_crop_col]:\n",
+    "            if point_2023_set2[is_crop_col] == \"Crop\":\n",
+    "                label = 1.0\n",
+    "            else:\n",
+    "                label = 0.0\n",
+    "        \n",
+    "        \n",
+    "        # If disagreement and Gedeon is a labeler give him override:\n",
+    "        elif point_2023_set1_rechecked[\"email\"] == \"gmuhawen@asu.edu\":\n",
+    "            if point_2023_set1_rechecked[is_crop_col] == \"Crop\":\n",
+    "                label = 1.0\n",
+    "            else:\n",
+    "                label = 0.0\n",
+    "                \n",
+    "        # If disagreement and Ivan or Hannah is labeler give him override\n",
+    "        elif point_2023_set2[\"email\"] in [\"izvonkov@umd.edu\", \"hkerner@umd.edu\"]:\n",
+    "            if point_2023_set2[is_crop_col] == \"Crop\":\n",
+    "                label = 1.0\n",
+    "            else:\n",
+    "                label = 0.0\n",
+    "                \n",
+    "        # Disagreement without Gedeon\n",
+    "        else:\n",
+    "            print(f\"Disagreement for plotid: {i} skipping.\")\n",
+    "            continue\n",
+    "        \n",
+    "    lat = point_2023_set1_rechecked[\"lat\"]\n",
+    "    lon = point_2023_set1_rechecked[\"lon\"]\n",
+    "    points_2023.append({\"longitude\": lon, \"latitude\": lat, \"label\": label})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "8c044668",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2023 = pd.DataFrame(points_2023)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d649ac8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0    305\n",
+       "0.0    274\n",
+       "Name: label, dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2023[\"label\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60bb2ca3",
+   "metadata": {},
+   "source": [
+    "## 5. Split for Training and Area Estimation \n",
+    "\n",
+    "Going to try 50/50 split and hope for the best."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "89bf124f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "786c6694",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "random_float = np.random.rand(len(df2022.index))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "e10d5020",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subset_col = pd.Series(index=df2022.index, data=\"testing\")\n",
+    "subset_col[0.5 <= random_float] = \"training\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a4b0c19a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "training    289\n",
+       "testing     257\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subset_col.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "e0d414f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2022[\"subset\"] = subset_col"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "5e953daa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2023[\"subset\"] = subset_col"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "6eb15e81",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "      <td>34.191256</td>\n",
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+       "      <td>training</td>\n",
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+       "    <tr>\n",
+       "      <th>542</th>\n",
+       "      <td>32.990788</td>\n",
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+       "      <td>1.0</td>\n",
+       "      <td>testing</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>546 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     longitude   latitude  label    subset\n",
+       "0    34.412608  13.322394    1.0  training\n",
+       "1    33.042904  13.296256    1.0  training\n",
+       "2    33.967062  12.616816    1.0   testing\n",
+       "3    35.666443  12.672629    1.0  training\n",
+       "4    34.499577  12.942798    0.0  training\n",
+       "..         ...        ...    ...       ...\n",
+       "541  34.191256  14.892369    1.0  training\n",
+       "542  32.990788  13.772671    1.0  training\n",
+       "543  33.035949  14.585912    0.0   testing\n",
+       "544  33.454790  13.852573    1.0  training\n",
+       "545  32.947497  14.282674    1.0   testing\n",
+       "\n",
+       "[546 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2022"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "5335fecf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>label</th>\n",
+       "      <th>subset</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>34.412608</td>\n",
+       "      <td>13.322394</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>training</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>33.042904</td>\n",
+       "      <td>13.296256</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>training</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>34.215501</td>\n",
+       "      <td>13.411822</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>testing</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>33.967062</td>\n",
+       "      <td>12.616816</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>training</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>35.666443</td>\n",
+       "      <td>12.672629</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>training</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>574</th>\n",
+       "      <td>34.191256</td>\n",
+       "      <td>14.892369</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575</th>\n",
+       "      <td>32.990788</td>\n",
+       "      <td>13.772671</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>576</th>\n",
+       "      <td>33.035949</td>\n",
+       "      <td>14.585912</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>577</th>\n",
+       "      <td>33.454790</td>\n",
+       "      <td>13.852573</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>578</th>\n",
+       "      <td>32.947497</td>\n",
+       "      <td>14.282674</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>579 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     longitude   latitude  label    subset\n",
+       "0    34.412608  13.322394    1.0  training\n",
+       "1    33.042904  13.296256    1.0  training\n",
+       "2    34.215501  13.411822    0.0   testing\n",
+       "3    33.967062  12.616816    1.0  training\n",
+       "4    35.666443  12.672629    0.0  training\n",
+       "..         ...        ...    ...       ...\n",
+       "574  34.191256  14.892369    0.0       NaN\n",
+       "575  32.990788  13.772671    0.0       NaN\n",
+       "576  33.035949  14.585912    1.0       NaN\n",
+       "577  33.454790  13.852573    1.0       NaN\n",
+       "578  32.947497  14.282674    1.0       NaN\n",
+       "\n",
+       "[579 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2023"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "72c936dc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2022.to_csv(\"points_processed/points_2022_EastSudan_50subset_v3.csv\", index=False)\n",
+    "df2023.to_csv(\"points_processed/points_2023_EastSudan_50subset_v3.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fbfe0af7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "48b108b5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}