diff --git a/datasets/aerosol-difference.data.mdx b/datasets/aerosol-difference.data.mdx
new file mode 100644
index 000000000..652905833
--- /dev/null
+++ b/datasets/aerosol-difference.data.mdx
@@ -0,0 +1,62 @@
+---
+id: houston-aod-diff
+name: "Houston Aerosol Optical Depth Difference Over 20 Years"
+description: "The impact of Aerosol over the Houston-metro and the Difference Over 20 Years"
+media:
+  src: ::file ./smog-city.png
+  alt: Smog Located In City.
+  author:
+    name: Nick van den Berg
+    url: https://unsplash.com/photos/2vb-_3t6YCM
+thematics:
+  - air-quality
+layers:
+  - id: houston-aod-diff
+    stacCol: houston-aod-diff
+    name: AOD Difference (2010-2019) - (2000-2009)
+    type: raster
+    description: "This figure shows the difference in AOD in the form of a raster when subtracting the two decades from the original AOD Dataset"
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: bwr
+      rescale:
+        - -0.1
+        - 0.1
+      nodata: 0
+    compare:
+      datasetId: houston-urbanization
+      layerId: houston-urbanization
+      mapLabel: |
+        ::js ({dateFns, datetime, compareDatetime}) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+    legend:
+      type: gradient
+      min: "-0.1"
+      max: "0.1"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffff"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+
+
+  
+---
+
+<Block>
+  <Prose>
+
+  Refer to the "houston-aod" dataset for more information on how AOD Difference is derived. This dataset comes from the two decadal COGs that displayed mean Aerosol Optical Depth for 2000-2009 and for 2010-2019. Those tiffs were subtracted to display the differences between the two decades.
+
+
+  </Prose>
+</Block>
+
+
diff --git a/datasets/modis-aerosol-dataset.data.mdx b/datasets/modis-aerosol-dataset.data.mdx
new file mode 100644
index 000000000..e0b2f465e
--- /dev/null
+++ b/datasets/modis-aerosol-dataset.data.mdx
@@ -0,0 +1,99 @@
+---
+id: houston-aod
+name: "MODIS MCD19A2 Product"
+description: "Using MODIS MCD19A2 to Analyze impacts of Aerosols in Urban Areas"
+media:
+  src: ::file ./smog-city.png
+  alt: Smog Located In City.
+  author:
+    name: Nick van den Berg
+    url: https://unsplash.com/photos/2vb-_3t6YCM
+thematics:
+  - air-quality
+layers:
+  - id: houston-aod
+    stacCol: houston-aod
+    name: Mean AOD
+    type: raster
+    description: "The average Aerosol Optical Depth in our atmosphere. Note that these are unitless values."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: rdylbu_r
+      rescale:
+        - 0.1
+        - 0.311
+      nodata: 0
+    legend:
+      type: gradient
+      min: "0"
+      max: "0.311"
+      stops:
+        - "#4575b4"
+        - "#91bfdb"
+        - "#e0f3f8"
+        - "#ffffbf"
+        - "#fee090"
+        - "#fc8d59"
+        - "#d73027"
+    compare:
+      datasetId: houston-aod
+      layerId: houston-aod
+---
+
+<Block>
+  <Prose>
+
+  ### About 
+
+  The MCD19A2 product represents a dataset that offers insights into aerosol optical thickness over land surfaces, grounded in the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. Originating from both the Terra and Aqua MODIS satellites, this dataset is remarkable for its fusion of information from multiple satellite platforms. Generated daily, the data has a high spatial resolution of 1 km per pixel, allowing detailed observiations.
+
+  The primary purpose of the MCD19A2 product is to provide a comprehensive set of atmospheric and geometric properties or parameters. These parameters are integral in producing the land surface Bidirectional Reflectance Factor, another important component derived usiung the MAIAC algorithm.
+
+  ### Grid500m Group:
+
+  This segment captures details primarily about aerosol concentrations and characteristics at a 500m resolution. It encompasses:
+  * Aerosol Optical Depth (AOD) at 047 micron and 055 micron, which measures the degree to which aerosol particles prevent the transmission of light, giving an insight into air quality.
+
+  * Uncertainty metrics for AOD at 047 micron to gauge the precision of measurements.
+
+  * Fine-Mode Fraction for Ocean, indicating the proportion of small particles in aerosols over the ocean.
+
+  * The Column Water Vapor in cm liquid water, offering details about atmospheric moisture.
+
+  * AOD QA provides quality assurance metrics.
+
+  * AOD Model shows the regional background model applied.
+
+  * Injection Height provides data on the elevation of smoke introduction over the local surface height.
+
+  ### Grid5km Group:
+
+  This focuses on geometric and solar parameters at a 5km resolution.
+
+  * Cosine of Solar Zenith Angle and View Zenith Angle, which provide information on the solar and observational angles respectively, crucial for understanding light reflection and absorption dynamics.
+
+  * The Relative Azimuth Angle gives the position between the sun and the observing satellite.
+
+  * The Relative Azimuth Angle gives the position between the sun and the observing satellite.
+
+  ### Citing the Data
+
+  Alexi Lyapustin - NASA GSFC, Yujie Wang - Univeristy of Maryland Baltimore County and MODAPS SIPS - NASA. (2015). MCD19A2 MODIS/Terra+Aqua Aerosol Optical Thickness Daily L2G Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MCD19A2.006
+
+  ### Accessing the Data
+
+  Google Earth Engine (GEE) provides an efficient way to harness the capabilities of the MODIS MCD19A2 dataset.
+
+  1. Initialize Google Earth Engine: Before you can access any datasets on GEE, ensure you've signed up for a Google Earth Engine account and initialized the GEE API in your programming environment.
+
+  2. Search for the Dataset: Navigate to the Google Earth Engine Data Catalog. In the search bar, type "MCD19A2" to locate the Multi-Angle Implementation of Atmospheric Correction (MAIAC) dataset.
+
+  4. Scripting in GEE Code Editor: Open the GEE Code Editor and use the Correct Dataset ID. In this case, use "MODIS/006/MCD19A2/Optical_Depth_047"
+
+  </Prose>
+</Block>
+
+
diff --git a/datasets/nlcd-urbanization.data.mdx b/datasets/nlcd-urbanization.data.mdx
new file mode 100644
index 000000000..1579d08fb
--- /dev/null
+++ b/datasets/nlcd-urbanization.data.mdx
@@ -0,0 +1,88 @@
+---
+id: houston-urbanization
+name: "National Land Cover Database"
+description: "Using the National Land Cover Database (NLCD) to illustrate urbanzation in Houston, TX over a 20-year span."
+media:
+  src: ::file ./smog-city.png
+  alt: Smog Located In City.
+  author:
+    name: Galen Crout
+    url: https://unsplash.com/photos/y8mIhkw7ZUI
+thematics:
+  - eis
+layers:
+  - id: houston-urbanization
+    stacCol: houston-urbanization
+    name: Urbanization
+    type: raster
+    description: "This dataset illustrates the growth in the metropolitan area of Houston, TX from 2000-2019. Note that these values are from 0 to 1."
+    initialDatetime: newest
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: reds
+      nodata: 0
+      rescale:
+        - 0
+        - 1
+    legend:
+      type: categorical
+      stops:
+        - color: "#ffffff"
+          label: No Data
+        - color: "#d73027"
+          label: Urbanization
+
+  
+---
+
+<Block>
+  <Prose>
+
+  ### About
+
+  The National Land Cover Database (NLCD) stands as a paramount dataset offering an in-depth overview of the land cover characteristics in the United States. Spearheaded by the Earth Resources Observation and Science (EROS) Center, this database is renewed every two to three years to provide updated and accurate data for the nation.
+
+  This is a collective effort between the U.S. Geological Survey (USGS) and the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC, composed of various federal agencies, has a rich legacy spanning over 30 years of generating consistent and pertinent land cover information on a national scale. The NLCD is a testament to their dedication and has emerged as one of the most frequently utilized geospatial datasets within the U.S., catering to an extensive audience ranging from scientists, land managers, city planners, to students.
+
+  As of its latest release, the NLCD showcases land cover data and related changes across nine specific epochs, starting from 2001 and culminating in 2021. These datasets are meticulously crafted, ensuring continuity and consistency with the past releases (from 2001-2019). This methodological consistency ensures that the datasets from the different epochs are directly comparable and well-suited for mult-temporal analyses.
+
+  ### What NLCD Offers
+
+  * Land Cover: This product details the land cover of the Conterminous U.S. at a 30-meter spatial resolution, employing a 16-class legend rooted in the modified Anderson Level II classification system.
+
+  * Land Cover Change Index: This visualization tool portrays the transformations that have transpired across all the NLCD epochs, furnishing users with a holistic view of the evolving landscape.
+
+  * Urban Imperviousness: A crucial dataset for urbanization studies, it highlights impervious surfaces in urban regions, showcasing them as a percentage of the developed surface at every 30-meter pixel.
+
+  * Urban Impervious Descriptor: A more nuanced product that classifies specific urban developments, such as roads, wind tower sites, building locations, and energy production sites. This aids in a more granular analysis of urban features.
+
+  ### Access the Data
+
+  Visit the [Acess Data](https://www.mrlc.gov/data) page to explore all of the options that NLCD offers.
+
+  ### Citing this Dataset
+
+  U.S. Geological Survey (USGS) & Multi-Resolution Land Characteristics (MRLC) Consortium. (2021). National Land Cover Database (NLCD) 2021: Conterminous U.S. Land Cover. Earth Resources Observation and Science (EROS) Center. Retrieved from https://www.mrlc.gov/data
+
+  ### Publications
+
+  * Danielson, Patrick, Postma, Kory, Riegle, J., Dewitz, Jon A., Deep learning artificial intelligence (AI) for improving classification accuracy for the National Land Cover Database (NLCD) [abs.]
+
+  * Wickham, J., Stehman, S.V., Sorenson, D.G., Gass, L., Dewitz, Jon A., Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States: Remote Sensing of Environment, v. 257, at https://doi.org/10.1016/j.rse.2021.112357
+
+  * Rigge, Matthew B., Shi, Hua, Postma, Kory, Projected change in rangeland fractional component cover across the sagebrush biome under climate change through 2085, v. 12, no. 6, at https://doi.org/10.1002/ecs2.3538
+
+  * Rigge, Matthew B., Homer, Collin G., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Granneman, Brian, Postma, Kory, Danielson, Patrick, Case, Adam, Xian, George Z., Rangeland fractional components across the western United States from 1985 to 2018: Remote Sensing, v. 13, no. 4, at https://doi.org/10.3390/rs13040813
+
+  * Peng, D., Wang, Y. L., Xian, George, Huete, A.R., Huang, W., Shen, M., Wang, F., Yu, L., Liu, L., Xie, Q., Liu, L., Zhang, X., Investigation of land surface phenology detections in shrublands using multiple scale satellite data: Remote Sensing of Environment, v. 252, at https://doi.org/10.1016/j.rse.2020.112133
+
+  * Rigge, Matthew B., Shi, Hua, Meyer, Debbie K., Bunde, Brett, Postma, Kory, Trends of fractional rangeland components across a 1985-2020 time-series [poster], v. Measuring & Monitoring Ecosystems, at http://annualmeeting2021.rangelands.org/presentations-posters/
+
+  * Jin, Suming, Dewitz, Jon A., Sorenson, D., Shogib, Rakibul , Granneman, Brian J., Case, Adam, Li, Congcong, Zhe, Z., Danielson, Patrick, Costello, C., Gass, L., National Land Cover Database 2019—A comprehensive strategy for creating the 1986-2019 Forest Disturbance Date Product [abs.], v. Proceedings, at https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/960755
+
+  </Prose>
+</Block>
+
+
diff --git a/datasets/smog-city.png b/datasets/smog-city.png
new file mode 100644
index 000000000..a9aa37780
Binary files /dev/null and b/datasets/smog-city.png differ
diff --git a/discoveries/Houston_IAH.csv b/discoveries/Houston_IAH.csv
new file mode 100644
index 000000000..efac8a0fc
--- /dev/null
+++ b/discoveries/Houston_IAH.csv
@@ -0,0 +1,479 @@
+Date,source,Mean AOD
+2000-02,AOD,0.0749382716
+2000-03,AOD,0.09885395044
+2000-04,AOD,0.140177038
+2000-05,AOD,0.247854321
+2000-06,AOD,0.2226544345
+2000-07,AOD,0.181230821
+2000-08,AOD,0.3270071576
+2000-09,AOD,0.2466882951
+2000-10,AOD,0.1922305703
+2000-11,AOD,0.09635314432
+2000-12,AOD,0.06884762439
+2001-01,AOD,0.107819672
+2001-02,AOD,0.1279543504
+2001-03,AOD,0.1480405755
+2001-04,AOD,0.1936679894
+2001-05,AOD,0.1807261317
+2001-06,AOD,0.4597113821
+2001-07,AOD,0.246046262
+2001-08,AOD,0.2988124633
+2001-09,AOD,0.160116393
+2001-10,AOD,0.1093571975
+2001-11,AOD,0.148586165
+2001-12,AOD,0.08300413976
+2002-01,AOD,0.09389003264
+2002-02,AOD,0.09171415406
+2002-03,AOD,0.1239880071
+2002-04,AOD,0.3290156379
+2002-05,AOD,0.2100298354
+2002-06,AOD,0.3762634627
+2002-07,AOD,0.373225037
+2002-08,AOD,0.4184397214
+2002-09,AOD,0.3622530663
+2002-10,AOD,0.1571505613
+2002-11,AOD,0.1161351028
+2002-12,AOD,0.1132942716
+2003-01,AOD,0.1181077915
+2003-02,AOD,0.1220079312
+2003-03,AOD,0.1535752105
+2003-04,AOD,0.1920811134
+2003-05,AOD,0.306124059
+2003-06,AOD,0.2657790743
+2003-07,AOD,0.3219353123
+2003-08,AOD,0.3950165638
+2003-09,AOD,0.2400242202
+2003-10,AOD,0.1310804915
+2003-11,AOD,0.1311219108
+2003-12,AOD,0.09629745666
+2004-01,AOD,0.1078653597
+2004-02,AOD,0.1595555051
+2004-03,AOD,0.1223968581
+2004-04,AOD,0.1817953207
+2004-05,AOD,0.2044036652
+2004-06,AOD,0.2904497835
+2004-07,AOD,0.2509110449
+2004-08,AOD,0.2425615106
+2004-09,AOD,0.241352476
+2004-10,AOD,0.166438402
+2004-11,AOD,0.08827833125
+2004-12,AOD,0.08373974304
+2005-01,AOD,0.109797354
+2005-02,AOD,0.1438538801
+2005-03,AOD,0.1504854769
+2005-04,AOD,0.146484267
+2005-05,AOD,0.2730894341
+2005-06,AOD,0.3250978821
+2005-07,AOD,0.3031725185
+2005-08,AOD,0.3139822504
+2005-09,AOD,0.2829505153
+2005-10,AOD,0.1491870501
+2005-11,AOD,0.09498059081
+2005-12,AOD,0.1136385656
+2006-01,AOD,0.09514302105
+2006-02,AOD,0.1310771544
+2006-03,AOD,0.1946740193
+2006-04,AOD,0.2349099677
+2006-05,AOD,0.1876822552
+2006-06,AOD,0.3004446952
+2006-07,AOD,0.3732242166
+2006-08,AOD,0.2866627973
+2006-09,AOD,0.220884961
+2006-10,AOD,0.167610441
+2006-11,AOD,0.1066113318
+2006-12,AOD,0.08833760636
+2007-01,AOD,0.103570946
+2007-02,AOD,0.1096291234
+2007-03,AOD,0.1757880175
+2007-04,AOD,0.2122700529
+2007-05,AOD,0.3132280753
+2007-06,AOD,0.3132074074
+2007-07,AOD,0.3929408289
+2007-08,AOD,0.3791120266
+2007-09,AOD,0.2701053459
+2007-10,AOD,0.1255405041
+2007-11,AOD,0.2163276403
+2007-12,AOD,0.09388459538
+2008-01,AOD,0.09729213947
+2008-02,AOD,0.1256897145
+2008-03,AOD,0.1847683612
+2008-04,AOD,0.1658593473
+2008-05,AOD,0.2123267063
+2008-06,AOD,0.3376650206
+2008-07,AOD,0.222505269
+2008-08,AOD,0.3437440403
+2008-09,AOD,0.2166679099
+2008-10,AOD,0.1361160646
+2008-11,AOD,0.1273339023
+2008-12,AOD,0.07593195405
+2009-01,AOD,0.09258443712
+2009-02,AOD,0.1165621047
+2009-03,AOD,0.1870911257
+2009-04,AOD,0.1517593474
+2009-05,AOD,0.1776345062
+2009-06,AOD,0.2429736994
+2009-07,AOD,0.2949377486
+2009-08,AOD,0.3035087931
+2009-09,AOD,0.4854215706
+2009-10,AOD,0.1470756248
+2009-11,AOD,0.1177760503
+2009-12,AOD,0.07760978906
+2010-01,AOD,0.07731728854
+2010-02,AOD,0.1194940171
+2010-03,AOD,0.1707705374
+2010-04,AOD,0.1411230614
+2010-05,AOD,0.2273660235
+2010-06,AOD,0.3524801734
+2010-07,AOD,0.4124580468
+2010-08,AOD,0.2919369232
+2010-09,AOD,0.218658579
+2010-10,AOD,0.1285062558
+2010-11,AOD,0.1092000859
+2010-12,AOD,0.1313760229
+2011-01,AOD,0.1077780148
+2011-02,AOD,0.1057360755
+2011-03,AOD,0.1535565359
+2011-04,AOD,0.2100880264
+2011-05,AOD,0.2067877217
+2011-06,AOD,0.2844676748
+2011-07,AOD,0.3489834692
+2011-08,AOD,0.2810882927
+2011-09,AOD,0.2004764614
+2011-10,AOD,0.1416881753
+2011-11,AOD,0.1265053204
+2011-12,AOD,0.1616744441
+2012-01,AOD,0.09305693915
+2012-02,AOD,0.1977038703
+2012-03,AOD,0.1269739069
+2012-04,AOD,0.1734097988
+2012-05,AOD,0.2482920469
+2012-06,AOD,0.3274437918
+2012-07,AOD,0.3003345078
+2012-08,AOD,0.2950968917
+2012-09,AOD,0.2395259581
+2012-10,AOD,0.1721808555
+2012-11,AOD,0.1081425162
+2012-12,AOD,0.09977956041
+2013-01,AOD,0.1402649652
+2013-02,AOD,0.1286104975
+2013-03,AOD,0.1722108375
+2013-04,AOD,0.2143748986
+2013-05,AOD,0.2239315542
+2013-06,AOD,0.2896725696
+2013-07,AOD,0.3253126035
+2013-08,AOD,0.3376734002
+2013-09,AOD,0.2583859515
+2013-10,AOD,0.152979671
+2013-11,AOD,0.1287853807
+2013-12,AOD,0.08025145265
+2014-01,AOD,0.07752041552
+2014-02,AOD,0.1843316187
+2014-03,AOD,0.1873703796
+2014-04,AOD,0.1729012519
+2014-05,AOD,0.167009379
+2014-06,AOD,0.2704852239
+2014-07,AOD,0.3412930157
+2014-08,AOD,0.3342976007
+2014-09,AOD,0.2996232388
+2014-10,AOD,0.1433524524
+2014-11,AOD,0.09959181821
+2014-12,AOD,0.1160467332
+2015-01,AOD,0.08940440511
+2015-02,AOD,0.149970226
+2015-03,AOD,0.1736594638
+2015-04,AOD,0.2204265085
+2015-05,AOD,0.2182746914
+2015-06,AOD,0.3131746473
+2015-07,AOD,0.2786423508
+2015-08,AOD,0.2498927316
+2015-09,AOD,0.2238055901
+2015-10,AOD,0.1308974015
+2015-11,AOD,0.1043513193
+2015-12,AOD,0.11884394
+2016-01,AOD,0.09210476102
+2016-02,AOD,0.1198206551
+2016-03,AOD,0.1738961533
+2016-04,AOD,0.183535122
+2016-05,AOD,0.193123342
+2016-06,AOD,0.3113047316
+2016-07,AOD,0.3714862904
+2016-08,AOD,0.2627547922
+2016-09,AOD,0.2422447788
+2016-10,AOD,0.157308676
+2016-11,AOD,0.1180115416
+2016-12,AOD,0.1359900883
+2017-01,AOD,0.08941216804
+2017-02,AOD,0.1450606754
+2017-03,AOD,0.1828462932
+2017-04,AOD,0.1384908443
+2017-05,AOD,0.1601177389
+2017-06,AOD,0.2761595826
+2017-07,AOD,0.353806691
+2017-08,AOD,0.2738136123
+2017-09,AOD,0.3047581541
+2017-10,AOD,0.159560459
+2017-11,AOD,0.1381969369
+2017-12,AOD,0.09525914792
+2018-01,AOD,0.1140751655
+2018-02,AOD,0.317979798
+2018-03,AOD,0.1652755964
+2018-04,AOD,0.1830604239
+2018-05,AOD,0.216627207
+2018-06,AOD,0.3366394385
+2018-07,AOD,0.333890207
+2018-08,AOD,0.335405234
+2018-09,AOD,0.2389157113
+2018-10,AOD,0.1462139648
+2018-11,AOD,0.1243383063
+2018-12,AOD,0.08559833143
+2019-01,AOD,0.1149739507
+2019-02,AOD,0.1740729277
+2019-03,AOD,0.1112787422
+2019-04,AOD,0.142079873
+2019-05,AOD,0.2165814111
+2019-06,AOD,0.214809422
+2019-07,AOD,0.2599688909
+2019-08,AOD,0.3524342348
+2019-09,AOD,0.2684117569
+2019-10,AOD,0.1779706625
+2019-11,AOD,0.119267697
+2019-12,AOD,0.08434844117
+2000-02,Trendline,0.2
+2000-03,Trendline,0.2000062916
+2000-04,Trendline,0.2000125832
+2000-05,Trendline,0.2000188747
+2000-06,Trendline,0.2000251663
+2000-07,Trendline,0.2000314579
+2000-08,Trendline,0.2000377495
+2000-09,Trendline,0.200044041
+2000-10,Trendline,0.2000503326
+2000-11,Trendline,0.2000566242
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\ No newline at end of file
diff --git a/discoveries/aod_socioeconomics.csv b/discoveries/aod_socioeconomics.csv
new file mode 100644
index 000000000..4151a747e
--- /dev/null
+++ b/discoveries/aod_socioeconomics.csv
@@ -0,0 +1,1196 @@
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\ No newline at end of file
diff --git a/discoveries/baytown_adjusted.csv b/discoveries/baytown_adjusted.csv
new file mode 100644
index 000000000..2e0ad867e
--- /dev/null
+++ b/discoveries/baytown_adjusted.csv
@@ -0,0 +1,477 @@
+Date,source,Mean AOD
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diff --git a/discoveries/houston-aod.discoveries.mdx b/discoveries/houston-aod.discoveries.mdx
new file mode 100644
index 000000000..a40ed45b5
--- /dev/null
+++ b/discoveries/houston-aod.discoveries.mdx
@@ -0,0 +1,176 @@
+---
+id: 'houston-aod'
+name: Aerosols and Their Impacts on Houston, TX
+description: "A look into how aerosols affect those in and around Houston, TX."
+media:
+  src: ::file ./steam-power-plant.png
+  alt: Smokestack from Power Plants
+  author:
+    name: Maxim Tolchinskiy
+    url: https://unsplash.com/photos/W3y2crFkVIs
+pubDate: 2023-06-02
+thematics:
+  - air-quality
+  - environmental-justice
+---
+
+<Block>
+  <Prose>
+
+    Authors: Trent Cowan<sup>[1]</sup>, Andrew Blackford<sup>[1]</sup>, Udaysankar Nair<sup>[1]</sup>
+
+    <sup>[1]</sup> University of Alabama in Huntsville(UAH)
+
+    **Disclaimer**: Correlation of satellite-derived AOD and surface air quality varies by location meaning the proposed correlations in this data story require further investigation to be deemed science-quality
+
+    ### Introduction
+    The Houston metropolitan area is the fourth most populous city in the United States and top-10 in terms of spatial extent. It’s well known that the impact cities can have on the surrounding environment correlates with the architectural characteristics and spatial extent of the city. Houston’s notably large spatial extent and high population pave the way for high levels of human-produced emissions within its transportation infrastructure. These emissions and its proximity to the Gulf of Mexico, make Houston especially susceptible to environmental changes related to urban development.
+
+    A team of researchers from the University of Alabama in Huntsville temporally averaged daily Aerosol Optical Depth (AOD) measurements from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua satellites to evaluate decadal changes in AOD over the Houston metropolitan area. MODIS-derived AOD is the measure of aerosols (e.g. urban haze, smoke particles, dust, sea salt) distributed within a column of air from the space-based instrument to Earth's surface (adapted from NASA's Aerosol Robotic Network (AERONET) definition). From an observer on the ground, an AOD of less than 0.1 is characteristic of a clear sky, bright Sun, and maximum visibility. As AOD increases to 0.5, 1.0, and greater than 3.0, aerosols become so dense that the Sun is obscured. The team also utilizes urbanization data from the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) Imperviousness dataset to visualize how Houston’s urban footprint has changed between 2001 and 2019. The combination of these data with socioeconomic data from NASA’s Socioeconomic Data and Applications Center (SEDAC) poverty level allow for insights on how urban growth in Houston impacted air quality and how those changes can vary by socioeconomic status (Dataset landing pages below).
+
+    ### Air Quality and AOD
+
+   Aerosols can have a variety of implications for the general public. In terms of air quality, aerosols can affect the air quality with high concentrations of pollutants that may pose a risk to public health. The highest risk comes from power plants where the level of emissions are the highest. In-situ measurements of aerosol concentrations, measurements taken at a fixed location, coupled with global satellite observations help scientists study air quality. AOD measured by the MODIS Terra and Aqua instruments is available globally every 1-2 days and aids researchers identify trends in aerosol concentrations to help inform decision makers.
+
+   In recent years, pollution sources have been regulated by the Environmental Protection Agency (EPA) which has found ways to reduce the amount of emissions. The EPA established the National Ambient Air Quality Standards (NAAQS) to regulate emissions to better protect public health. The NAAQS included in the Clean Air Act provides regulation of pollutants such as carbon monoxide, sulfur dioxide among others.
+  </Prose>
+</Block>
+
+<Block type="full">
+  <Figure>
+    <Map
+      datasetId='houston-aod'
+      layerId='houston-aod'
+      dateTime='2000-01-01'
+      compareDateTime='2010-01-01'
+      compareLabel='2000-2009 mean / 2010-2019 mean'
+    />
+    <Caption>
+      Figure 2: Aerosol Optical Depth Compared Decadally from 2000-2009 & 2010-2019. The map shown shows the change in AOD over the last 20 years over the Houston metropolitan area.
+    </Caption>
+  </Figure>
+  <Prose>
+    ### Using Satellite Data to Study Aerosol Optical Depth
+
+    With a focus on the Houston, Texas metropolitan area, satellite data from the MODIS Terra and Aqua instruments were used to showcase changes in emissions over the last 20 years. While changes in AOD are subtle across the entire metropolitan area, notable differences are observed in areas with the greatest change in urbanization. 
+  
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+    ### Aerosol Optical Depth Compared to Houston Urbanization
+
+    Temporal averages of AOD concentrations from 2000-2009 and 2010-2019 are used to infer insights in the changes in air quality for Houston, TX. Comparing the differences of these two time periods indicates that as the city limits have expanded over the last 20 years, AOD has increased along the leading edge of urban growth (Figure 3). As population grows in these regions, emissions from human activity typically increase resulting in higher aerosol concentrations and lower air quality. Alternatively, areas with little urban growth over the last 20 years do not show significant changes in aerosol concentrations. Note that while AOD changes in these areas are not significant, this does not necessarily mean that these areas have good air quality. For example, the area around the George Bush Intercontinental Airport (IAH) has high aerosol concentrations for the entire 20-year observational period associated with air traffic (scroll down for further analysis). AOD near Galveston Bay and along the Gulf Coast show a significant reduction in the aerosol concentrations potentially relating back to implementation of NAAQS (see current NAAQS table). Air quality standards for Sulfur Dioxide took effect in 2010 while Ozone and Particle Pollution took effect in December 2015 and could be reflected in decadally-averaged AOD measurements for 2010-2019. Using AOD measurements with socioeconomic data provides insights about how air quality has changed over the last 20 years and how different communities are affected by these changes.   
+
+  </Prose>
+  <Figure>
+    <Map
+      datasetId='houston-aod-diff'
+      layerId='houston-aod-diff'
+      dateTime='2000-01-01'
+      compareDateTime='2001-01-01'
+      compareLabel='AOD Difference vs Houston Urbanization'
+    />
+    <Caption>
+      Figure 3: Aerosol Optical Depth Compared Decadally from 2000-2009 & 2010-2019 vs the Urbanization of the Houston metro from 2000-2019. The left portion of the map shows the subtracted difference in AOD over the last 20 years over the Houston metropolitan area.
+    </Caption>
+  </Figure>
+</Block>
+
+
+
+<ScrollytellingBlock>
+  <Chapter
+    center={[-95.268361, 29.231816]}
+    zoom={9}
+    datasetId='houston-aod-diff'
+    layerId='houston-aod-diff'
+    datetime='2000-01-01'
+  >
+    ## AOD Timeseries for Galveston Bay
+    The monthly and spatially averaged time series of AOD for Galveston Bay (just east of downtown Houston) show a statistically significant (p < 0.005) decreasing trend in AOD from 2000 to 2019. Note the measure of statistical significance of p < 0.005 indicates that there is very high confidence the decreasing trend in AOD is real and not due to chance. This decreasing trend in AOD could potentially be attributed to air quality regulations implemented as a part of the Clean Air Act between 2010 and 2019.
+
+    <Chart
+      dataPath={new URL('./baytown_adjusted.csv', import.meta.url).href}
+      dateFormat="%Y-%m"
+      idKey='source'
+      xKey='Date'
+      yKey='Mean AOD'
+      yAxisLabel='Aerosol Optical Depth'
+      xAxisLabel='Date'
+    />
+  </Chapter>
+  <Chapter
+    center={[-95.983866, 29.746860]}
+    zoom={9}
+    datasetId='houston-aod-diff'
+    layerId='houston-aod-diff'
+    datetime='2000-01-01'
+  >
+    ## AOD Timeseries for Western Houston
+    Unlike the Galveston Bay area, the monthly and spatially averaged time series of AOD for the Western Suburbs of Houston, TX shows a trend where there is a small, statistically insignificant increase over the time period of 2000 to 2019. Note that the spatial pattern of difference in decadal mean AOD between the second and first decade of this century shows a localized increase that correlates to urbanization. The small increase in AOD concentrations could be potentially explained by vehicular and other urban sources of pollution counteracting the effects of the Clean Air Act.
+
+    <Chart
+      dataPath={new URL('./west_houston_adjusted.csv', import.meta.url).href}
+      dateFormat="%Y-%m"
+      idKey='source'
+      xKey='Date'
+      yKey='Mean AOD'
+      yAxisLabel='Aerosol Optical Depth'
+      xAxisLabel='Date'
+    />
+  </Chapter>
+  <Chapter
+    center={[-95.361, 29.984]}
+    zoom={11}
+    datasetId='houston-aod-diff'
+    layerId='houston-aod-diff'
+    datetime='2000-01-01'
+  >
+    ## AOD Timseries for IAH
+    Over a 20-year observational period from 2000 to 2019, the area around George Bush Intercontinental Airport (IAH) in Houston maintained high aerosol concentrations, possibly due to air traffic. Consistently high aerosol concentrations in this region serve as a good example that changes in AOD do not correlate to air quality directly.
+
+    <Chart
+      dataPath={new URL('./Houston_IAH.csv', import.meta.url).href}
+      dateFormat="%Y-%m"
+      idKey='source'
+      xKey='Date'
+      yKey='Mean AOD'
+      yAxisLabel='Aerosol Optical Depth'
+      xAxisLabel='Date'
+    />
+  </Chapter>
+
+</ScrollytellingBlock>
+
+<Block>
+  <Prose>
+    ### Socioeconomic Disparities
+
+    The use of interdisciplinary data sources can further shed light on the intricate relationships between urbanization, socioeconomic disparities, and environmental effects. Within newly urbanized areas of Harris County, nearly 10% of a given census tract’s population meet the threshold of 150% poverty. In regions of highest AOD concentrations, this average percentage increases to 12%, indicating the potential for socioeconomic impacts of urban development in areas with higher pollution levels.
+
+    Transportation is another metric that can provide insight into disproportionate socioeconomic impacts of urbanization. Within the newly urbanized areas of Harris County, an average of 3.8% of a given census tract’s population do not own vehicles. This percentage rises to 4.2% within newly urbanized regions marked by increased AOD concentration from 2000-2009 to 2010-2019. Such data underscores the broader challenges of transportation and accessibility for the economically disadvantaged in these urbanized and potentially more polluted zones.
+
+    It should be noted that this initial analysis does not necessarily imply that urbanization causes disproportionate socioeconomic impacts. An alternative takeaway could be that urbanization is planned in regions of lower socioeconomic status, a potential indicator of locations where gentrification has occurred in the Houston metropolitan area.
+
+  </Prose>
+</Block>
+
+<Block>
+  <Prose>
+    ### Data Access
+
+    * [NASA Description for MODIS MCD19A2](https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD19A2)
+    * [NLCD Imperviousness (CONUS) All Years](https://www.mrlc.gov/data/nlcd-imperviousness-conus-all-years)
+    * [CDC/ATSDR SVI Data and Documentation Download | Place and Health | ATSDR](https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html)
+
+    ### Additional Resources
+
+    * [NASA Air Quality Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/air-quality-data-pathfinder)
+    * [NASA Health and Air Quality Backgrounder](https://www.earthdata.nasa.gov/learn/backgrounders/health-and-air-quality)
+    * [NASA Health and Air Quality Applied Sciences Team](https://haqast.org/)
+    * [NAAQS Table](https://www.epa.gov/criteria-air-pollutants/naaqs-table)
+
+  </Prose>
+</Block>
diff --git a/discoveries/steam-power-plant.png b/discoveries/steam-power-plant.png
new file mode 100644
index 000000000..9b368a86d
Binary files /dev/null and b/discoveries/steam-power-plant.png differ
diff --git a/discoveries/west_houston_adjusted.csv b/discoveries/west_houston_adjusted.csv
new file mode 100644
index 000000000..dbd666132
--- /dev/null
+++ b/discoveries/west_houston_adjusted.csv
@@ -0,0 +1,479 @@
+Date,source,Mean AOD
+2000-02,AOD,0.052767165
+2000-03,AOD,0.108952006
+2000-04,AOD,0.131009588
+2000-05,AOD,0.289352549
+2000-06,AOD,0.29711575
+2000-07,AOD,0.14938468
+2000-08,AOD,0.253161408
+2000-09,AOD,0.165954429
+2000-10,AOD,0.201914473
+2000-11,AOD,0.116041478
+2000-12,AOD,0.091187626
+2001-01,AOD,0.122581617
+2001-02,AOD,0.126957345
+2001-03,AOD,0.147627507
+2001-04,AOD,0.240622065
+2001-05,AOD,0.249144538
+2001-06,AOD,0.310352195
+2001-07,AOD,0.253039421
+2001-08,AOD,0.264698786
+2001-09,AOD,0.162808852
+2001-10,AOD,0.101014715
+2001-11,AOD,0.157116199
+2001-12,AOD,0.07599395
+2002-01,AOD,0.071300895
+2002-02,AOD,0.070277722
+2002-03,AOD,0.127510799
+2002-04,AOD,0.294489817
+2002-05,AOD,0.187952262
+2002-06,AOD,0.406614681
+2002-07,AOD,0.315474535
+2002-08,AOD,0.339672656
+2002-09,AOD,0.269138136
+2002-10,AOD,0.150844081
+2002-11,AOD,0.078151803
+2002-12,AOD,0.088551348
+2003-01,AOD,0.097444986
+2003-02,AOD,0.107979104
+2003-03,AOD,0.145436708
+2003-04,AOD,0.146228646
+2003-05,AOD,0.27913622
+2003-06,AOD,0.251028562
+2003-07,AOD,0.302560266
+2003-08,AOD,0.35662724
+2003-09,AOD,0.205994375
+2003-10,AOD,0.117367884
+2003-11,AOD,0.10015637
+2003-12,AOD,0.079471513
+2004-01,AOD,0.091108385
+2004-02,AOD,0.147353353
+2004-03,AOD,0.12725684
+2004-04,AOD,0.162341506
+2004-05,AOD,0.202407424
+2004-06,AOD,0.324028095
+2004-07,AOD,0.256956135
+2004-08,AOD,0.257629632
+2004-09,AOD,0.2262881
+2004-10,AOD,0.135644959
+2004-11,AOD,0.075966291
+2004-12,AOD,0.062105709
+2005-01,AOD,0.091447617
+2005-02,AOD,0.162647597
+2005-03,AOD,0.119565371
+2005-04,AOD,0.144375104
+2005-05,AOD,0.24578115
+2005-06,AOD,0.285912852
+2005-07,AOD,0.270865766
+2005-08,AOD,0.323637964
+2005-09,AOD,0.263796181
+2005-10,AOD,0.117412877
+2005-11,AOD,0.088002364
+2005-12,AOD,0.096962095
+2006-01,AOD,0.074974239
+2006-02,AOD,0.105945321
+2006-03,AOD,0.174539084
+2006-04,AOD,0.220186689
+2006-05,AOD,0.149528805
+2006-06,AOD,0.264123718
+2006-07,AOD,0.333523732
+2006-08,AOD,0.275330999
+2006-09,AOD,0.190763364
+2006-10,AOD,0.180103637
+2006-11,AOD,0.077954115
+2006-12,AOD,0.058227964
+2007-01,AOD,0.099879806
+2007-02,AOD,0.097638567
+2007-03,AOD,0.152380595
+2007-04,AOD,0.173806956
+2007-05,AOD,0.326808035
+2007-06,AOD,0.314518649
+2007-07,AOD,0.400495394
+2007-08,AOD,0.369465004
+2007-09,AOD,0.250444008
+2007-10,AOD,0.102943967
+2007-11,AOD,0.192221119
+2007-12,AOD,0.08120911
+2008-01,AOD,0.08413881
+2008-02,AOD,0.106075029
+2008-03,AOD,0.141869979
+2008-04,AOD,0.139440039
+2008-05,AOD,0.170288559
+2008-06,AOD,0.281309567
+2008-07,AOD,0.203521972
+2008-08,AOD,0.27869866
+2008-09,AOD,0.19804018
+2008-10,AOD,0.117605798
+2008-11,AOD,0.099862479
+2008-12,AOD,0.043255568
+2009-01,AOD,0.07167565
+2009-02,AOD,0.096109461
+2009-03,AOD,0.13705167
+2009-04,AOD,0.128464736
+2009-05,AOD,0.205621234
+2009-06,AOD,0.211525334
+2009-07,AOD,0.22921093
+2009-08,AOD,0.247674342
+2009-09,AOD,0.452026404
+2009-10,AOD,0.118538811
+2009-11,AOD,0.102671663
+2009-12,AOD,0.073944985
+2010-01,AOD,0.057254793
+2010-02,AOD,0.118544075
+2010-03,AOD,0.1525481
+2010-04,AOD,0.127476251
+2010-05,AOD,0.230041658
+2010-06,AOD,0.28210776
+2010-07,AOD,0.315901917
+2010-08,AOD,0.260954922
+2010-09,AOD,0.174574771
+2010-10,AOD,0.117181652
+2010-11,AOD,0.092181427
+2010-12,AOD,0.120752319
+2011-01,AOD,0.092519972
+2011-02,AOD,0.10769443
+2011-03,AOD,0.145723408
+2011-04,AOD,0.187351952
+2011-05,AOD,0.190841066
+2011-06,AOD,0.278907259
+2011-07,AOD,0.314214789
+2011-08,AOD,0.24176435
+2011-09,AOD,0.215011389
+2011-10,AOD,0.106771555
+2011-11,AOD,0.093905239
+2011-12,AOD,0.147687822
+2012-01,AOD,0.084398746
+2012-02,AOD,0.168159019
+2012-03,AOD,0.106935943
+2012-04,AOD,0.162425199
+2012-05,AOD,0.298713546
+2012-06,AOD,0.320520846
+2012-07,AOD,0.297287432
+2012-08,AOD,0.263717164
+2012-09,AOD,0.190767927
+2012-10,AOD,0.144959603
+2012-11,AOD,0.096623908
+2012-12,AOD,0.073767097
+2013-01,AOD,0.096997982
+2013-02,AOD,0.095234419
+2013-03,AOD,0.14175596
+2013-04,AOD,0.197198253
+2013-05,AOD,0.204648266
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