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gsd_analyzer.py
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gsd_analyzer.py
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# -*- coding: utf-8 -*-
"""
/***************************************************************************
GSDAnalyzer
A QGIS plugin
This plugin is to compute and spatially visualize the local GSD for a mapping mission at constant altitude with respect to take off.
-------------------
begin : 2019-01-17
git sha : $Format:%H$
copyright : (C) 2019 by Jonas Hener - Avy BV
email : [email protected]
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
from PyQt4.QtCore import QSettings, QTranslator, qVersion, QCoreApplication
from PyQt4.QtGui import QAction, QIcon, QFileDialog
from qgis.core import *
from qgis.core import QgsMapLayerRegistry
from osgeo import gdal, ogr
from qgis.gui import QgsMessageBar
import struct
import sys
import processing
import numpy as np
import math
from osgeo.gdalconst import *
# Initialize Qt resources from file resources.py
import resources
# Import the code for the dialog
from gsd_analyzer_dialog import GSDAnalyzerDialog
import os.path
class GSDAnalyzer:
"""QGIS Plugin Implementation."""
def __init__(self, iface):
"""Constructor.
:param iface: An interface instance that will be passed to this class
which provides the hook by which you can manipulate the QGIS
application at run time.
:type iface: QgisInterface
"""
# Save reference to the QGIS interface
self.iface = iface
# initialize plugin directory
self.plugin_dir = os.path.dirname(__file__)
# initialize locale
locale = QSettings().value('locale/userLocale')[0:2]
locale_path = os.path.join(
self.plugin_dir,
'i18n',
'GSDAnalyzer_{}.qm'.format(locale))
if os.path.exists(locale_path):
self.translator = QTranslator()
self.translator.load(locale_path)
if qVersion() > '4.3.3':
QCoreApplication.installTranslator(self.translator)
# Create the dialog (after translation) and keep reference
self.dlg = GSDAnalyzerDialog()
# Declare instance attributes
self.actions = []
self.menu = self.tr(u'&GSD Analyzer')
# TODO: We are going to let the user set this up in a future iteration
self.toolbar = self.iface.addToolBar(u'GSDAnalyzer')
self.toolbar.setObjectName(u'GSDAnalyzer')
#Clear Output File text and connect PushButton
self.dlg.OutLine.clear()
self.dlg.OutButton.clicked.connect(self.select_output_file)
# noinspection PyMethodMayBeStatic
def tr(self, message):
"""Get the translation for a string using Qt translation API.
We implement this ourselves since we do not inherit QObject.
:param message: String for translation.
:type message: str, QString
:returns: Translated version of message.
:rtype: QString
"""
# noinspection PyTypeChecker,PyArgumentList,PyCallByClass
return QCoreApplication.translate('GSDAnalyzer', message)
def add_action(
self,
icon_path,
text,
callback,
enabled_flag=True,
add_to_menu=True,
add_to_toolbar=True,
status_tip=None,
whats_this=None,
parent=None):
"""Add a toolbar icon to the toolbar.
:param icon_path: Path to the icon for this action. Can be a resource
path (e.g. ':/plugins/foo/bar.png') or a normal file system path.
:type icon_path: str
:param text: Text that should be shown in menu items for this action.
:type text: str
:param callback: Function to be called when the action is triggered.
:type callback: function
:param enabled_flag: A flag indicating if the action should be enabled
by default. Defaults to True.
:type enabled_flag: bool
:param add_to_menu: Flag indicating whether the action should also
be added to the menu. Defaults to True.
:type add_to_menu: bool
:param add_to_toolbar: Flag indicating whether the action should also
be added to the toolbar. Defaults to True.
:type add_to_toolbar: bool
:param status_tip: Optional text to show in a popup when mouse pointer
hovers over the action.
:type status_tip: str
:param parent: Parent widget for the new action. Defaults None.
:type parent: QWidget
:param whats_this: Optional text to show in the status bar when the
mouse pointer hovers over the action.
:returns: The action that was created. Note that the action is also
added to self.actions list.
:rtype: QAction
"""
icon = QIcon(icon_path)
action = QAction(icon, text, parent)
action.triggered.connect(callback)
action.setEnabled(enabled_flag)
if status_tip is not None:
action.setStatusTip(status_tip)
if whats_this is not None:
action.setWhatsThis(whats_this)
if add_to_toolbar:
self.toolbar.addAction(action)
if add_to_menu:
self.iface.addPluginToMenu(
self.menu,
action)
self.actions.append(action)
return action
def initGui(self):
"""Create the menu entries and toolbar icons inside the QGIS GUI."""
icon_path = ':/plugins/GSDAnalyzer/icon.png'
self.add_action(
icon_path,
text=self.tr(u'Analyze the GSD of your mapping mission'),
callback=self.run,
parent=self.iface.mainWindow())
def unload(self):
"""Removes the plugin menu item and icon from QGIS GUI."""
for action in self.actions:
self.iface.removePluginMenu(
self.tr(u'&GSD Analyzer'),
action)
self.iface.removeToolBarIcon(action)
# remove the toolbar
del self.toolbar
def select_output_file(self):
filename = QFileDialog.getSaveFileName(self.dlg, "Select output file ","", '*.tif')
self.dlg.OutLine.setText(filename)
def getPointGeo(self, myLayers):
#assign Vector Layer from dlg
vectorLayerIndex = self.dlg.VectorBox.currentIndex()
vectorLayer = myLayers[vectorLayerIndex]
features = vectorLayer.getFeatures()
for feature in features:
geom = feature.geometry()
# show some information about the feature
if geom.type() == QGis.Point:
x = geom.asPoint()
geoX = int(x[0])
geoY = int(x[1])
return geoX, geoY
else:
print "No Point Geometry Feature"
def geoToInd(self, geoX, geoY, rasterGT):
#only works for geotransforms with no rotation.
indX = int((geoX - rasterGT[0]) / rasterGT[1]) #x pixel
indY = int((geoY - rasterGT[3]) / rasterGT[5]) #y pixel
return indY, indX #reverse order intentional, don't ask why...
def analysis(self, DEM, a, p, hfov, vfov, noData = -99): #auxfile as argument for debugging
DEM[DEM<0] = -1
deltaH = a * np.ones(DEM.shape) - DEM
deltaH[deltaH<0] = 0
blank = np.zeros(DEM.shape)
h_e = hfov*math.pi/360. #deliberately by 2
v_e = vfov*math.pi/360. #deliberately by 2
for i in range(DEM.shape[0]):
for j in range(DEM.shape[1]):
h = deltaH[i, j]
if h > 1 and DEM[i, j] > 0:
hPrint = 2*h*math.tan(h_e) #sensor footprint width in m
vPrint = 2*h*math.tan(v_e) #sensor footprint length in m
fPrint = vPrint*hPrint # sensor footprint area in m^2
GSD = math.sqrt(fPrint * 100 * 100 / p) #m^2 to cm^2 by pixels
blank[i, j] = GSD
#auxfile.write("A, h = "+ str(h) + " , DEM = " + str(DEM[i,j]) + " , fPrint = " + str(fPrint) + " , GSD = " + str(blank[i, j]) + "\n")
else:
blank[i, j] = noData
deltaH[i, j] = noData
#auxfile.write("B, h = "+ str(h) + " , DEM = " + str(DEM[i,j]) + "\n")
return blank, deltaH
def writeOut(self, openRaster, filename, npOut, noData = -99):
# create the output image1 from frame of open raster DEM and output array
driver = openRaster.GetDriver()
rasterGT = openRaster.GetGeoTransform()
rows = openRaster.RasterYSize
cols = openRaster.RasterXSize
#print driver
outRaster = driver.Create(filename, cols, rows, 1, GDT_Int32)
if outRaster is None:
print 'Could not create Tif File'
sys.exit(1)
outBand = outRaster.GetRasterBand(1)
#outData = np.zeros(npBand1.shape) #for when cropping DEM is allowed
#outData[loX:hiX, loY:hiY] = out #for when cropping DEM is allowed
outData = npOut
# write the data
outBand.WriteArray(outData, 0, 0)
# flush data to disk, set the NoData value and calculate stats
outBand.FlushCache()
outBand.SetNoDataValue(noData)
# georeference the image and set the projection
outRaster.SetGeoTransform(openRaster.GetGeoTransform())
outRaster.SetProjection(openRaster.GetProjection())
del outData
def run(self):
#gets the layers loaded in QGIS and adds it to the comboBox object from the plugin dialog
iface = self.iface
#clear combos
self.dlg.RasterBox.clear();self.dlg.VectorBox.clear()
#take layers from canvas and sort
myLayers = iface.mapCanvas().layers()
for i in range(len(myLayers)):
myLayer = myLayers[i]
#add all to RasterBox
self.dlg.RasterBox.addItem(myLayer.name(),myLayer.id())
#add all to VectorBox
self.dlg.VectorBox.addItem(myLayer.name(),myLayer.id())
# TODO: Sort for valid inputs and sync ComboBox index to mapCanvas
#-----------------------------------------------------------------------------#
# show the dialog
self.dlg.show()
# Run the dialog event loop
result = self.dlg.exec_()
# See if OK was pressed
if result:
#for debugging and logging
filename = self.dlg.OutLine.text()
parts = filename.split(".")
auxfilename = parts[0] + "-aux.txt"
#auxfile = open(auxfilename, 'w')
#for logging metadata, mainly analysis parameters
metafilename = parts[0] + "-0.txt"
metafile = open(metafilename, 'w')
#assign Raster Layer from dlg
rasterLayerIndex = self.dlg.RasterBox.currentIndex()
rasterLayer = myLayers[rasterLayerIndex]
#-------------------------------------------------------------------------#
#open raster, get dims and band1
gdal.AllRegister()
provider = rasterLayer.dataProvider()
openRaster = gdal.Open(str(provider.dataSourceUri()), gdal.GA_Update)
if openRaster is None:
print 'Could not open image file'
sys.exit(1)
rasterGT = openRaster.GetGeoTransform()
rows = openRaster.RasterYSize
cols = openRaster.RasterXSize
band1 = openRaster.GetRasterBand(1)
npBand1 = band1.ReadAsArray(0,0,cols,rows)
#-------------------------------------------------------------------------#
#get Geo Coordinates of Observer
geoX, geoY = self.getPointGeo(myLayers)
#Convert from map to pixel coordinates
indX, indY = self.geoToInd(geoX, geoY, rasterGT)
#determine Observer Height
obsZ = npBand1[indX, indY]
#auxfile.write("obsZ: " + str(obsZ))
altGCS = int(self.dlg.AltLine.text())
#auxfile.write("altGCS: " + str(altGCS))
alt = obsZ+altGCS
#auxfile.write("alt: " + str(alt))
#get sensor characteristics:
pix = float(self.dlg.PixelLine.text())*1000000 #pixelcount, from MP to P
HFoV = float(self.dlg.HLine.text())
VFoV = float(self.dlg.VLine.text())
#np.savetxt("/Users/jonashener/Desktop/yomama-aux0" + '.csv', npBand1, delimiter=",")
#-------------------------------------------------------------------------#
out1, out2 = self.analysis(npBand1, alt, pix, HFoV, VFoV) #auxfile as argument for debugging
#-------------------------------------------------------------------------#
# create the output image1
filename1 = parts[0] + "-1.tif"
self.writeOut(openRaster, filename1, out1)
# create the output image2
filename2 = parts[0] + "-2.tif"
self.writeOut(openRaster, filename2, out2)
metafile.write("input raster: " + str(self.dlg.RasterBox.currentText()) + "\n" + "input vector: " + str(self.dlg.VectorBox.currentText()) + "\n" + "flight altitude w.r.t GCS: " + str(altGCS) + " m" + "\n" + "GCS height: " + str(obsZ) + " m" + "\n" + "pixelcount: " + str(pix/1000000.) + " MP" + "\n" + "hfov: " + str(HFoV) + " deg" + "\n" + "vfov: " + str(VFoV) + " deg" + "\n")