# # Author: Cunren Liang # Copyright 2015-present, NASA-JPL/Caltech # import os import glob import logging import numpy as np import isceobj from isceobj.Alos2Proc.Alos2ProcPublic import runCmd from isceobj.Alos2Proc.Alos2ProcPublic import getBboxGeo logger = logging.getLogger('isce.alos2insar.runDownloadDem') def runDownloadDem(self): '''download DEM and water body ''' catalog = isceobj.Catalog.createCatalog(self._insar.procDoc.name) self.updateParamemetersFromUser() masterTrack = self._insar.loadTrack(master=True) slaveTrack = self._insar.loadTrack(master=False) bboxGeo = getBboxGeo(masterTrack) bbox = np.array(bboxGeo) bboxStr = '{} {} {} {}'.format(np.int(np.floor(bbox[0])), np.int(np.ceil(bbox[1])), np.int(np.floor(bbox[2])), np.int(np.ceil(bbox[3]))) #get 1 arcsecond dem for coregistration if self.dem == None: demDir = 'dem_1_arcsec' if not os.path.exists(demDir): os.makedirs(demDir) os.chdir(demDir) downloadUrl = 'http://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/2000.02.11' cmd = 'dem.py -a stitch -b {} -k -s 1 -c -f -u {}'.format( bboxStr, downloadUrl ) runCmd(cmd) cmd = 'fixImageXml.py -i demLat_*_*_Lon_*_*.dem.wgs84 -f' runCmd(cmd) cmd = 'rm *.hgt* *.log demLat_*_*_Lon_*_*.dem demLat_*_*_Lon_*_*.dem.vrt demLat_*_*_Lon_*_*.dem.xml' runCmd(cmd) os.chdir('../') self.dem = glob.glob(os.path.join(demDir, 'demLat_*_*_Lon_*_*.dem.wgs84'))[0] #get 3 arcsecond dem for geocoding if self.demGeo == None: demGeoDir = 'dem_3_arcsec' if not os.path.exists(demGeoDir): os.makedirs(demGeoDir) os.chdir(demGeoDir) downloadUrl = 'http://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL3.003/2000.02.11' cmd = 'dem.py -a stitch -b {} -k -s 3 -c -f -u {}'.format( bboxStr, downloadUrl ) runCmd(cmd) cmd = 'fixImageXml.py -i demLat_*_*_Lon_*_*.dem.wgs84 -f' runCmd(cmd) cmd = 'rm *.hgt* *.log demLat_*_*_Lon_*_*.dem demLat_*_*_Lon_*_*.dem.vrt demLat_*_*_Lon_*_*.dem.xml' runCmd(cmd) os.chdir('../') self.demGeo = glob.glob(os.path.join(demGeoDir, 'demLat_*_*_Lon_*_*.dem.wgs84'))[0] #get water body for masking interferogram if self.wbd == None: wbdDir = 'wbd_1_arcsec' if not os.path.exists(wbdDir): os.makedirs(wbdDir) os.chdir(wbdDir) #cmd = 'wbd.py {}'.format(bboxStr) #runCmd(cmd) download_wbd(np.int(np.floor(bbox[0])), np.int(np.ceil(bbox[1])), np.int(np.floor(bbox[2])), np.int(np.ceil(bbox[3]))) cmd = 'fixImageXml.py -i swbdLat_*_*_Lon_*_*.wbd -f' runCmd(cmd) cmd = 'rm *.log' runCmd(cmd) os.chdir('../') self.wbd = glob.glob(os.path.join(wbdDir, 'swbdLat_*_*_Lon_*_*.wbd'))[0] self._insar.dem = self.dem self._insar.demGeo = self.demGeo self._insar.wbd = self.wbd catalog.printToLog(logger, "runDownloadDem") self._insar.procDoc.addAllFromCatalog(catalog) def download_wbd(s, n, w, e): ''' download water body water body. (0) --- land; (-1) --- water; (-2) --- no data. set no-value pixel inside of latitude [-56, 60] to -1 set no-value pixel outside of latitidue [-56, 60] to -2 look at this figure for SRTM coverage: https://www2.jpl.nasa.gov/srtm/images/SRTM_2-24-2016.gif ''' import os import numpy as np import isceobj from iscesys.DataManager import createManager latMin = np.floor(s) latMax = np.ceil(n) lonMin = np.floor(w) lonMax = np.ceil(e) ############################################################ #1. download and stitch wbd ############################################################ sw = createManager('wbd') sw.configure() outputFile = sw.defaultName([latMin,latMax,lonMin,lonMax]) if os.path.exists(outputFile) and os.path.exists(outputFile+'.xml'): print('water body file: {}'.format(outputFile)) print('exists, do not download and correct') return outputFile #download and stitch the SWBD tiles sw.noFilling = False sw._fillingValue = -1 sw.stitch([latMin,latMax],[lonMin,lonMax]) ############################################################ #2. replace 'areas with SRTM but no SWBD' with zeros (land) ############################################################ print('post-process water body file') print('get SRTM tiles') srtmListFile = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'srtm_tiles.txt') with open(srtmListFile) as f: srtmList = f.readlines() srtmList = [x[0:7] for x in srtmList] #get tiles that have SRTM DEM, but no SWBD, these are mostly tiles that do not have water body print('get tiles with SRTM and without SWBD') noSwbdListFile = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'srtm_no_swbd_tiles.txt') with open(noSwbdListFile) as f: noSwbdList = f.readlines() noSwbdList = [x[0:7] for x in noSwbdList] print('get SWBD tiles') swbdListFile = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'swbd_tiles.txt') with open(swbdListFile) as f: swbdList = f.readlines() swbdList = [x[0:7] for x in swbdList] #read resulting mosaicked water body wbdImage = isceobj.createDemImage() wbdImage.load(outputFile+'.xml') #using memmap instead, which should be faster, since we only have a few pixels to change wbd=np.memmap(outputFile, dtype=np.int8, mode='r+', shape=(wbdImage.length, wbdImage.width)) #replace 'areas with SRTM but no SWBD' with zeros (land) names, nlats, nlons = sw.createNameListFromBounds([latMin,latMax],[lonMin,lonMax]) sign={'S':-1, 'N':1, 'W':-1, 'E':1} for tile in names: print('checking tile: {}'.format(tile)) firstLatitude = sign[tile[0].upper()]*int(tile[1:3])+1 firstLongitude = sign[tile[3].upper()]*int(tile[4:7]) lineOffset = np.int32((firstLatitude - wbdImage.firstLatitude) / wbdImage.deltaLatitude + 0.5) sampleOffset = np.int32((firstLongitude - wbdImage.firstLongitude) / wbdImage.deltaLongitude + 0.5) #first line/sample of mosaicked SWBD is integer lat/lon, but it does not include last integer lat/lon line/sample #so here the size is 3600*3600 instead of 3601*3601 #assuming areas without swbd are water if tile[0:7] not in swbdList: wbd[0+lineOffset:3600+lineOffset, 0+sampleOffset:3600+sampleOffset] = -1 #assuming areas with srtm and without swbd are land if tile[0:7] in noSwbdList: wbd[0+lineOffset:3600+lineOffset, 0+sampleOffset:3600+sampleOffset] = 0 ############################################################ #3. set values outside of lat[-56, 60] to -2 (no data) ############################################################ print('check water body file') print('set areas outside of lat[-56, 60] to -2 (no data)') for i in range(wbdImage.length): lat = wbdImage.firstLatitude + wbdImage.deltaLatitude * i if lat > 60.0 or lat < -56.0: wbd[i, :] = -2 del wbd, wbdImage return outputFile