sedema update

scripts/GI_runAnalysis.sh

-#!/bin/sh
-CSV=$1
-CFG=$2
-
-if [ ! -d "data" ]; then
-	mkdir data
-fi
-cd data
-GI_createDirectories.py ../$CSV ../$CFG
-
-for d in $(ls -d */) ; do
-	echo "PROCESSING " $d ...
-	if [ ! -f $(pwd)/"$d/scl_data.json" ]; then
-		GI_L2ASCL_AreaProcessing.sh $(pwd)/"$d" 0 
-	else 
-	    echo "PASSING " $d
-	fi 
-done

scripts/SEDEMA/GI_L2ASCLtoJSON.py

+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+import osgeo.ogr as ogr
+import osgeo.osr as osr
+import numpy as np
+import gdal
+import sys
+import os
+import json
+from collections import Counter
+#from collections import OrderedDict
+
+########### lee archivo de configuración ################
+dirname = os.path.dirname(__file__)
+configfile = os.path.join(dirname, '../config/config.json')
+
+with open(configfile, 'r') as f:
+    config = json.load(f)
+
+
+#print(config['PATHS']['PATH_GEOSENTINEL'])
+
+SENTINEL_PATH = config['PATHS']['PATH_GEOSENTINEL']
+###########################################################
+
+sys.path.append(SENTINEL_PATH)
+
+from geosentinel import rasterWkt
+CLASS_MAP = {0:0, 1:1, 2:2, 3:3, 4:4, 5:5, 6:6, 7:7, 8:8, 9:8, 10:8, 11:9}
+#-------------------------------------------------------------------------------
+def L2ASCLtoDict(filename, wkt, wktsub):
+	''' 
+	L2ASCLtoDict
+	'''
+	classMap = lambda x: [ CLASS_MAP[xx] for xx in x ]
+
+	inputImage = gdal.Open(filename)
+	rows, cols, geotransform = inputImage.RasterYSize, inputImage.RasterXSize, inputImage.GetGeoTransform()
+	data = inputImage.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
+
+	data1 = np.bitwise_and(data, rasterWkt.getPolygonArray(inputImage, wkt))
+
+
+	count1 = Counter([])
+	for r in data:
+		count1 = count1+ Counter(classMap(r))
+	sclDict1 = {str(k):v for k,v in dict(count1).items()}
+
+	if wktsub!="":
+		data2 = np.bitwise_and(data1, np.invert(rasterWkt.getPolygonArray(inputImage, wktsub)))
+
+		count2 = Counter([])
+		for r in data2:
+			count2 = count2 + Counter(classMap(r))
+		sclDict2 = {str(k):v for k,v in dict(count2).items()}
+	else:
+		sclDict2=sclDict1
+	return {"areaTotal":sclDict1, "areaNoConservacion":sclDict2}
+#-------------------------------------------------------------------------------
+def main(argv):
+	if len(sys.argv) != 3:
+		print("Usage: " + argv[0] + "<JSON SCL> <JSON Cfg>")
+	else:
+		jsonFile=open(argv[2]).read()
+		cfg = json.loads(jsonFile)
+		dataDict = L2ASCLtoDict(argv[1], cfg['wkt'], cfg["wkt2"])
+		print(json.dumps(dataDict, sort_keys=True))
+#-------------------------------------------------------------------------------
+if __name__ == "__main__":
+	main(sys.argv)

scripts/SEDEMA/GI_SCLimageListToJSON.sh

+#!/bin/sh
+DIR=$1
+CGF=$2
+JOBS=${3:-1}
+
+cd $DIR
+ls *.tif | parallel --jobs $JOBS 'GI_L2ASCLtoJSON.py '{} $2 ' > $(echo '{}' | cut -d"." -f1).json'
+
+

scripts/SEDEMA/GI_SCLmorphImageListToJSON.sh

+#!/bin/sh
+DIR=$1
+CGF=$2
+JOBS=${3:-1}
+
+cd $DIR
+ls *.tif | parallel --jobs $JOBS 'GI_getComponentsMorphology.py '{} $2 ' > $(echo '{}' | cut -d"." -f1).json'
+
+

scripts/GI_createDirectories.py → scripts/SEDEMA/GI_createDirectories.py

@@ -14,16 +14,17 @@ def createDirectories(datafile, cfgfile, level1="CVE_ENT", level2="CVE_MUN"):
 		data = csv.DictReader(csvfile, delimiter=',')
 		for row in data:
 
-			mun = row[level1]
-			ent = row[level2]
-			dirname = ent+mun
+			mun = row[level2]
+			ent = row[level1]
+			dirname = ent.zfill(2)+"-"+mun.zfill(3)
 			print(ent)
 #			for k in cfg.keys():
 #				p[k]=cfg[k]
 			print(os.getcwd())
 			cfg["projectDir"]=os.getcwd()+"/"+dirname+"/"
-			cfg["endDate"]=datetime.datetime.now().strftime("%Y%m%d")
+#			cfg["endDate"]=datetime.datetime.now().strftime("%Y%m%d")
 			cfg["wkt"]=row["WKT"]
+			cfg["wkt2"]=row["WKT2"]
 			if not os.path.exists(dirname):
 				os.mkdir(dirname)
 			with open(dirname+'/findProducts.json', 'w') as outfile:
@@ -31,11 +32,14 @@ def createDirectories(datafile, cfgfile, level1="CVE_ENT", level2="CVE_MUN"):
 #===============================================================================
 def main(argv):
 
-	if len(sys.argv) != 3:
-		print(len(sys.argv))
-		print ("Usage: "+argv[0] + " <csv> <cfg>")
-	else:
-		createDirectories(argv[1], argv[2])
+        if len(sys.argv) != 3 and len(sys.argv) != 5:
+                print(len(sys.argv))
+                print ("Usage: "+argv[0] + " <csv> <cfg>")
+        elif(len(sys.argv) == 3 ):
+                createDirectories(argv[1], argv[2])
+        else:
+                createDirectories(argv[1], argv[2], argv[3], argv[4])
+
 
 
 if __name__ == "__main__":

scripts/SEDEMA/GI_getComponentsMorphology.py

+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import sys
+import os
+import json
+import csv
+import gdal
+import numpy as np
+import osgeo.ogr as ogr, osr
+sys.path.append("/home/geoint/GeoSentinel")
+from geosentinel import rasterWkt
+from skimage import measure
+AREAm = 60*60 #m²
+AREAkm = AREAm/1000000#km²
+DISTANCE = 60#m
+
+#===============================================================================
+def getComponentsMorphology(image_filename, wkt, wktsub):
+	
+	inputImage = gdal.Open(image_filename)
+	rows, cols, geotransform = inputImage.RasterYSize, inputImage.RasterXSize, inputImage.GetGeoTransform()
+	data = inputImage.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
+
+	data1 = np.bitwise_and(data, rasterWkt.getPolygonArray(inputImage, wkt))
+	if wktsub!="":
+		data2 = np.bitwise_and(data1, np.invert(rasterWkt.getPolygonArray(inputImage, wktsub)))
+	else:
+		data2 = data1
+
+	geometry = ogr.CreateGeometryFromWkt(wkt)
+	inSpatialRef = osr.SpatialReference()
+	inSpatialRef.ImportFromEPSG(4326)
+	outSpatialRef = osr.SpatialReference()
+	outSpatialRef.ImportFromEPSG(32514)
+
+	coordTrans = osr.CoordinateTransformation(inSpatialRef, outSpatialRef)
+	geometry.Transform(coordTrans)
+	wktArea = geometry.GetArea()
+	classDict={}
+	for i in range(12):
+
+		myDict = dict()		
+		dataC = data2==i
+		myDict["area_tot"]=wktArea/1000000
+		myDict["area_verde_tot"] = np.count_nonzero(dataC)
+
+		if myDict["area_verde_tot"]==0.0:
+			continue
+		myDict["area_verde_tot"]=myDict["area_verde_tot"]*AREAkm
+		components_labels = measure.label(dataC)
+		myDict["nAreas"] = int( np.max(components_labels))
+		properties = measure.regionprops(components_labels)
+		
+
+		myDict["gf1"] = 1 / (myDict["area_verde_tot"]/myDict["nAreas"])
+#		myDict["gf2"]
+		myDict["gdv"]=myDict["area_verde_tot"]/myDict["area_tot"]
+		myDict["vp"]=myDict["area_verde_tot"]
+		myDict["tp"]=myDict["area_verde_tot"]/myDict["nAreas"]
+		myDict["fp"]=sum([ p["perimeter"]/p["area"] for p in properties])/myDict["nAreas"]
+
+		myDict["alp"]=sum([ 0 if p["minor_axis_length"]==0 else p["major_axis_length"]/p["minor_axis_length"] for p in properties])/myDict["nAreas"]
+		classDict[str(i)]=myDict
+#		print(myDict)
+#	print(classDict)
+	return classDict
+#===============================================================================
+def main(argv):
+
+	if len(sys.argv) != 3:
+		print (argv[0] + " <image.tif> <cfg.json>")
+	else:
+		with open(argv[2]) as jsonFile:
+			cfg = json.load(jsonFile)
+			dataDict = getComponentsMorphology(argv[1], cfg["wkt"], cfg["wkt2"])
+			print(json.dumps(dataDict, sort_keys=True))
+
+if __name__ == "__main__":
+	main(sys.argv)

scripts/SEDEMA/GI_getComponentsMorphology_csv.py

+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import sys
+import os
+import json
+import csv
+import gdal
+import numpy as np
+import osgeo.ogr as ogr, osr
+sys.path.append("/home/mchc/git/GeoSentinel")
+from geosentinel import rasterWkt
+from skimage import measure
+AREAm = 60*60 #m²
+AREAkm = AREAm/1000000#km²
+DISTANCE = 60#m
+
+#===============================================================================
+def getComponentsMorphology(image_filename, wktlist):
+	
+	inputImage = gdal.Open(image_filename)
+	rows, cols, geotransform = inputImage.RasterYSize, inputImage.RasterXSize, inputImage.GetGeoTransform()
+	data = inputImage.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
+
+	areaList = []
+	for key, value in wktlist.items():
+		print(key)
+		dataMask = np.bitwise_and(data, rasterWkt.getPolygonArray(inputImage, value))
+		geometry = ogr.CreateGeometryFromWkt(value)
+
+		inSpatialRef = osr.SpatialReference()
+		inSpatialRef.ImportFromEPSG(4326)
+		outSpatialRef = osr.SpatialReference()
+		outSpatialRef.ImportFromEPSG(32514)
+
+		coordTrans = osr.CoordinateTransformation(inSpatialRef, outSpatialRef)
+
+		geometry.Transform(coordTrans)
+		wktArea = geometry.GetArea()
+
+		print(key, wktArea/1000000)
+
+
+		myDict = dict()
+		myDict["clave"] = key
+		dataC = dataMask!=0#==i
+		myDict["area_tot"]=wktArea/1000000
+		myDict["area_verde_tot"] = np.count_nonzero(dataC)
+
+		if myDict["area_verde_tot"]==0.0:
+			continue
+		myDict["area_verde_tot"]=myDict["area_verde_tot"]*AREAkm
+		components_labels = measure.label(dataC)
+		myDict["nAreas"] = int( np.max(components_labels))
+		properties = measure.regionprops(components_labels)
+
+
+		myDict["gf1"] = 1 / (myDict["area_verde_tot"]/myDict["nAreas"])
+##		myDict["gf2"]
+		myDict["gdv"]=myDict["area_verde_tot"]/myDict["area_tot"]
+		myDict["vp"]=myDict["area_verde_tot"]
+		myDict["tp"]=myDict["area_verde_tot"]/myDict["nAreas"]
+		myDict["fp"]=sum([ p["perimeter"]/p["area"] for p in properties])/myDict["nAreas"]
+##		print("axis", [ p["minor_axis_length"] for p in properties])
+		myDict["alp"]=sum([ 0 if p["minor_axis_length"]==0 else p["major_axis_length"]/p["minor_axis_length"] for p in properties])/myDict["nAreas"]
+#		classDict[str(i)]=myDict
+		areaList.append(myDict)
+		print(myDict)
+	with open('morphology.csv', 'w', newline='') as csvfile:
+		writer = csv.DictWriter(csvfile, fieldnames=areaList[0].keys())
+		writer.writeheader()
+		for i in areaList:
+			writer.writerow(i)
+
+##	print(classDict)
+#	return classDict
+#===============================================================================
+def main(argv):
+
+	if len(sys.argv) != 3:
+		print ("Usage: " + argv[0] + " <reference_image.tif> <wkt_list.csv>")
+	else:
+		with open(argv[2]) as csvfile:
+			reader = csv.DictReader(csvfile)
+			areasDic = { row["CVEGEO"]:row["WKT"] for row in reader}
+			
+			dataDict = getComponentsMorphology(argv[1], areasDic)
+
+if __name__ == "__main__":
+	main(sys.argv)

scripts/GI_getMinMax.py → scripts/SEDEMA/GI_getMinMax.py

@@ -8,32 +8,58 @@ import csv
 def getMinMax(clase):
 
 	polylist = []
-
+	morphList = []
 	for item in os.listdir("."):
 		if os.path.isdir(item):
 			print(item)
 			with open(os.getcwd()+"/"+item+"/scl_data.json") as json_file:
 				dataSCL = json.load(json_file)
+
+			with open(os.getcwd()+"/"+item+"/scl_morph.json") as json_file:
+				dataMorph = json.load(json_file)
 				
 			with open(os.getcwd()+"/"+item+"/findProducts.json") as json_file:
 				dataWKT = json.load(json_file)
 			wkt = dataWKT["wkt"]
 			
-			values = []
-			for k, v in dataSCL.items():
-				values.append(v[clase])
-			minval = min(values)
-			maxval = max(values)
 
-			polylist.append({"clave": item, "wkt":wkt, "min":minval, "max":maxval})
+			polyDict = {"clave": item, "wkt":wkt}
+
+			cDict = {k:v["areaTotal"][clase] for k, v in dataSCL.items() }
+			maxkey = max(cDict, key=cDict.get )
+			maxval = dataSCL[maxkey]["areaTotal"][clase]
+			polyDict["areaTotal"] = maxval
+			
+			
+			cDict = {k:v["areaNoConservacion"][clase] for k, v in dataSCL.items() if clase in v["areaNoConservacion"]}
+
+			if len(cDict) >0 and clase in dataSCL[maxkey]["areaNoConservacion"]:
+				maxkey = max(cDict, key=cDict.get )
+				maxval = dataSCL[maxkey]["areaNoConservacion"][clase]
 
+			else:
+				maxval=0
+			polyDict["areaNoConservacion"] = maxval
+			polylist.append(polyDict)
+
+
+			tmpDict = dataMorph[maxkey][clase]
+			tmpDict["wkt"] = wkt
+			tmpDict["clave"]=item
+			morphList.append(dataMorph[maxkey][clase])
 	
 	with open('minmax_'+clase+'.csv', 'w') as outfile:
 		writer = csv.DictWriter(outfile, fieldnames=polylist[0].keys())
 		writer.writeheader()
 		for item in polylist:
 			writer.writerow(item)
-#		json.dump(polylist, outfile)
+
+	with open('morphology_'+clase+'.csv', 'w') as outfile:
+		writer = csv.DictWriter(outfile, fieldnames=morphList[0].keys())
+		writer.writeheader()
+		for item in morphList:
+			writer.writerow(item)
+
 #===============================================================================
 def main(argv):
 

scripts/SEDEMA/GI_rasterShp.py

+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+#"POLYGON((-89.65513229370117 21.048938357786966,-89.62852478027342 21.047816903874505,-89.6261215209961 21.03339745836918,-89.6465492248535 21.022822311328852,-89.65873718261717 21.039325621609095,-89.65513229370117 21.048938357786966))"
+import osgeo.ogr as ogr
+import osgeo.osr as osr
+import numpy as np
+import gdal
+import sys
+from collections import Counter
+#-------------------------------------------------------------------------------
+def getPolygonArray(image, shp_filename):
+	rows = image.RasterYSize
+	cols = image.RasterXSize
+	geotransform =  image.GetGeoTransform()
+	projection = image.GetProjection()
+	sr = osr.SpatialReference(wkt=projection)
+
+	sr4326 = osr.SpatialReference()
+	sr4326.ImportFromEPSG(4326)
+
+
+	driverMEM	= gdal.GetDriverByName('MEM')
+	driverMemory	= ogr.GetDriverByName('Memory')
+	driverTiff	= gdal.GetDriverByName('GTiff')
+	driverShape	= ogr.GetDriverByName("ESRI Shapefile")
+
+	#RASTER
+	target_ds =  driverMEM.Create('raster.tif', cols, rows, 1, gdal.GDT_Byte) #MEM
+	target_ds.GetRasterBand(1).SetNoDataValue(0)
+	target_ds.GetRasterBand(1).WriteArray(np.zeros((rows, cols), dtype=np.uint8))
+	target_ds.SetProjection(projection)
+	target_ds.SetGeoTransform(geotransform)
+	target_ds.GetRasterBand(1).FlushCache()
+
+	#VECTOR
+	dataSource = driverShape.Open(shp_filename, 0)
+	# Check to see if shapefile is found.
+	if dataSource is None:
+	    print('Could not open', shp_filename)
+	else:
+	    print('Opened %s', shp_filename)
+	    layer = dataSource.GetLayer()
+	    featureCount = layer.GetFeatureCount()
+	    print("Number of features in", shp_filename, featureCount)
+#	rast_ogr_ds = driverMemory.CreateDataSource( 'myshape.shp' )
+#	rast_mem_lyr = rast_ogr_ds.CreateLayer( 'POLYGON', sr4326,  ogr.wkbPolygon)
+#	feat = ogr.Feature( rast_mem_lyr.GetLayerDefn() )
+#	feat.SetGeometry( ogr.CreateGeometryFromWkt(wkt_geom) )
+#	rast_mem_lyr.CreateFeature( feat )
+
+
+	err = gdal.RasterizeLayer(target_ds, [1], layer, burn_values=[255])
+
+	if err != 0:
+		print(err)
+		gdaltest.post_reason( 'got non-zero result code from RasterizeLayer' )
+		return 'fail'
+
+	target_ds.GetRasterBand(1).FlushCache()
+	np_polygon = target_ds.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
+	count = Counter([])
+#	for r in np_polygon:
+#		count = count + Counter(r)
+#	colorDict = {str(k):v for k,v in dict(count).items()}
+#	print(colorDict)
+	target_ds = None
+
+	return np_polygon
+#-------------------------------------------------------------------------------
+def rasterWkt(shpfile, tifffile, outputfile):
+	''' 
+	Draw WKT Polygon into a Image
+	'''
+
+	inputImage = gdal.Open(tifffile)
+	rows = inputImage.RasterYSize
+	cols = inputImage.RasterXSize
+	geotransform =  inputImage.GetGeoTransform()
+	projection = inputImage.GetProjection()
+
+	sr = osr.SpatialReference()
+	sr.ImportFromWkt(projection)
+
+	driverTiff = gdal.GetDriverByName('GTiff')
+	output = driverTiff.Create(outputfile, cols, rows, inputImage.RasterCount, gdal.GDT_Byte)
+
+	np_polygon = getPolygonArray(inputImage, shpfile)
+
+	for b in range(1, output.RasterCount+1):
+		np_input = inputImage.GetRasterBand(b).ReadAsArray(0,0,cols,rows)
+		output.GetRasterBand(b).SetNoDataValue(0)
+		output.GetRasterBand(b).WriteArray(np_polygon)#np.bitwise_and(np_polygon, np_input))
+		output.GetRasterBand(b).FlushCache()
+
+	output.SetGeoTransform(geotransform)
+	output.SetProjection(projection)
+
+	#Close files
+	polygonRaster = None
+	output = None
+	inputImage = None
+
+def main(argv):
+	rasterWkt(argv[1], argv[2], argv[3])
+
+if __name__ == "__main__":
+	main(sys.argv)

scripts/greenIndexAnalisis.py

+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import sys
+import os
+import csv
+import json
+from datetime import date, datetime
+
+
+sys.path.append("/home/mchc/git/GeoSentinel")
+from geosentinel import findProducts
+csv.field_size_limit(sys.maxsize)
+#===============================================================================
+def greenIndexAnalisis(csvfile, cfg):
+
+	today = date.today()
+	startDate = datetime.strptime(cfg["startDate"], '%Y%m%d')
+
+	regionList = {}	
+	with open(csvfile) as csvfile:
+		reader = csv.DictReader(csvfile)
+		for row in reader:
+			regionList[row["CVE_ENT"]] = row["WKT"]
+
+	os.chdir(cfg["projectDir"])
+	if not os.path.isdir(cfg["productLevel"]):
+		os.mkdir(cfg["productLevel"])
+
+	if not os.path.isdir("out"):
+		os.mkdir("out")
+
+	os.chdir("out")	
+	for y in range(today.year, startDate.year-1, -1):
+		year = str(y)
+		if not os.path.isdir(year):
+			os.mkdir(year)
+		os.chdir(year)
+		for key, value in regionList.items():
+			settings = cfg
+			settings["wkt"]=value
+			settings["endDate"]= date.today().strftime("%Y%m%d")
+			findProducts.findSentinelProducts(settings)
+
+
+#===============================================================================
+def main(argv):
+
+	if len(argv) != 3:
+		print ("Usage: " + argv[0] + "<regionList.csv> <settings.json>")
+	else:
+		with open(argv[2]) as json_file:
+			cfg = json.load(json_file)
+			greenIndexAnalisis(argv[1], cfg)
+
+
+if __name__ == "__main__":
+	main(sys.argv)

scripts/runAnalisis.sh

+#!/bin/sh
+
+greenIndexAnalisis.py data/00ent.csv data/settings.json