def test_image_info_ge01(self):
image = 'GE01_20090707163115_297600_5V090707P0002976004A222012202432M_001529596_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'GE01')
self.assertEqual(image_info.sunel, 45.98)
self.assertEqual(image_info.ona, 26.86)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 8.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertAlmostEqual(image_info.score, 79.1422222)
image_info.get_raster_stats()
stat_dct = {1: [40.0, 200.0, 135.82811420290182, 33.54100534555833]}
datapixelcount_dct = {1: 4435509}
self.assertEqual(image_info.stat_dct, stat_dct)
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_wv01_with_tday_and_exposure(self):
image = 'WV01_20080807153945_1020010003A5AC00_08AUG07153945-P1BS-052060421010_01_P011_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_args.tday = '09-01'
mosaic_args.use_exposure = True
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
self.assertEqual(mosaic_params.m, 9)
self.assertEqual(mosaic_params.d, 1)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV01')
self.assertEqual(image_info.sunel, 39.0)
self.assertEqual(image_info.ona, 18.5)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 16.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, 24)
self.assertAlmostEqual(image_info.score, 86.0924408)
def test_image_info_wv02_with_cc_max(self):
image = 'WV02_20110504155551_103001000BA45E00_11MAY04155551-P1BS-500085264180_01_P002_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_args.max_cc = 0.20
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV02')
self.assertEqual(image_info.sunel, 39.2)
self.assertEqual(image_info.ona, 19.0)
self.assertEqual(image_info.cloudcover, 0.29)
self.assertEqual(image_info.tdi, 48.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertAlmostEqual(image_info.score, -1)
image_info.get_raster_stats()
stat_dct = {1: [80.0, 191.0, 185.7102777536714, 6.965814755751974]}
datapixelcount_dct = {1: 1152100}
self.assertEqual(image_info.stat_dct, stat_dct)
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_wv01(self):
image = 'WV01_20080807153945_1020010003A5AC00_08AUG07153945-P1BS-052060421010_01_P011_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV01')
self.assertEqual(image_info.sunel, 39.0)
self.assertEqual(image_info.ona, 18.5)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 16.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 79.2)
image_info.get_raster_stats()
stat_dct = {1: [24.0, 192.0, 60.0042506228806, 18.321626067645923]}
datapixelcount_dct = {1: 1403559}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_wv02_ndvi(self):
srcdir = os.path.join(os.path.join(test_dir,'mosaic','ndvi'))
image = 'WV02_20110901210434_103001000B41DC00_11SEP01210434-M1BS-052730735130_01_P007_u16rf3413_ndvi.tif'
image_info = mosaic.ImageInfo(os.path.join(srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 64.0)
self.assertEqual(image_info.yres, 64.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 6)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV02')
self.assertEqual(image_info.sunel, 37.7)
self.assertEqual(image_info.ona, 19.4)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 24.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertAlmostEqual(image_info.score, 78.555555555)
image_info.get_raster_stats()
stat_dct = {}
datapixelcount_dct = {}
self.assertEqual(image_info.stat_dct, stat_dct)
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_ge01(self):
image = 'GE01_20090707163115_297600_5V090707P0002976004A222012202432M_001529596_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'GE01')
self.assertEqual(image_info.sunel, 45.98)
self.assertEqual(image_info.ona, 26.86)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 8.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 79.1422222)
image_info.get_raster_stats()
stat_dct = {1: [40.0, 200.0, 135.82811420290182, 33.54100534555833]}
datapixelcount_dct = {1: 4435509}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_wv02_with_cc_max(self):
image = 'WV02_20110504155551_103001000BA45E00_11MAY04155551-P1BS-500085264180_01_P002_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_args.max_cc = 0.20
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV02')
self.assertEqual(image_info.sunel, 39.2)
self.assertEqual(image_info.ona, 19.0)
self.assertEqual(image_info.cloudcover, 0.29)
self.assertEqual(image_info.tdi, 48.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, -1)
image_info.get_raster_stats()
stat_dct = {1: [80.0, 191.0, 185.7102777536714, 6.965814755751974]}
datapixelcount_dct = {1: 1152100}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_wv01_with_tday_and_exposure(self):
image = 'WV01_20080807153945_1020010003A5AC00_08AUG07153945-P1BS-052060421010_01_P011_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_args.tday = '09-01'
mosaic_args.use_exposure = True
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
self.assertEqual(mosaic_params.m, 9)
self.assertEqual(mosaic_params.d, 1)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV01')
self.assertEqual(image_info.sunel, 39.0)
self.assertEqual(image_info.ona, 18.5)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 16.0)
self.assertEqual(image_info.panfactor, 1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, 24)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 86.0924408)
def test_ndvi_info_wv02_pansh(self):
image = 'WV02_20110901210434_103001000B41DC00_11SEP01210434-M1BS-052730735130_01_P007_u16rf3413_pansh_ndvi.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir, image),
'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(
image_info.proj,
'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]'
)
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 3)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV02')
self.assertEqual(image_info.sunel, 37.7)
self.assertEqual(image_info.ona, 19.4)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 24.0)
self.assertEqual(image_info.panfactor, 1)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 78.55555555555556)
image_info.get_raster_stats()
stat_dct = {1: [-991.0, 996.0, 536.20172830189938, 250.75913591790697]}
datapixelcount_dct = {1: 1203262}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_filter_images(self):
image_list = glob.glob(os.path.join(self.srcdir, '*.tif'))
imginfo_list = [mosaic.ImageInfo(image, "IMAGE") for image in image_list]
filter_list = [iinfo.srcfn for iinfo in imginfo_list]
self.assertIn('WV02_20110901210434_103001000B41DC00_11SEP01210434-M1BS-052730735130_01_P007_u08rf3413.tif',
filter_list)
self.assertIn('GE01_20130728161916_1050410002608900_13JUL28161916-P1BS-054448357040_01_P002_u16rf3413.tif',
filter_list)
self.assertIn('WV02_20131123162834_10300100293C3400_13NOV23162834-P1BS-500408660030_01_P005_u08mr3413.tif',
filter_list)
mosaic_args = MosaicArgs()
mosaic_args.extent = [-820000.0, -800000.0, -2420000.0, -2400000.0]
mosaic_args.tilesize = [20000, 20000]
mosaic_args.bands = 1
mosaic_params = mosaic.getMosaicParameters(imginfo_list[0], mosaic_args)
imginfo_list2 = mosaic.filterMatchingImages(imginfo_list, mosaic_params)
filter_list = [iinfo.srcfn for iinfo in imginfo_list2]
self.assertEqual(len(imginfo_list2), 8)
self.assertNotIn('WV02_20110901210434_103001000B41DC00_11SEP01210434-M1BS-052730735130_01_P007_u08rf3413.tif',
filter_list)
self.assertNotIn('GE01_20130728161916_1050410002608900_13JUL28161916-P1BS-054448357040_01_P002_u16rf3413.tif',
filter_list)
imginfo_list3 = mosaic.filter_images_by_geometry(imginfo_list2, mosaic_params)
filter_list = [iinfo.srcfn for iinfo in imginfo_list3]
self.assertEqual(len(imginfo_list3), 7)
self.assertNotIn('WV02_20131123162834_10300100293C3400_13NOV23162834-P1BS-500408660030_01_P005_u08mr3413.tif',
filter_list)
def test_image_info_wv01(self):
image = 'WV01_20080807153945_1020010003A5AC00_08AUG07153945-P1BS-052060421010_01_P011_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.assertEqual(image_info.xres, 16.0)
self.assertEqual(image_info.yres, 16.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 1)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV01')
self.assertEqual(image_info.sunel, 39.0)
self.assertEqual(image_info.ona, 18.5)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 16.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertAlmostEqual(image_info.score, 79.2)
image_info.get_raster_stats()
stat_dct = {1: [24.0, 192.0, 60.0042506228806, 18.321626067645923]}
datapixelcount_dct = {1: 1403559}
self.assertEqual(image_info.stat_dct, stat_dct)
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_multispectral_dg_ge01(self):
image = 'GE01_20130728161916_1050410002608900_13JUL28161916-M1BS-054448357040_01_P002_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir,image), 'IMAGE')
self.maxDiff = None
self.assertEqual(image_info.xres, 32.0)
self.assertEqual(image_info.yres, 32.0)
self.assertEqual(image_info.proj, 'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]')
self.assertEqual(image_info.bands, 4)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'GE01')
self.assertEqual(image_info.sunel, 42.2)
self.assertEqual(image_info.ona, 25.0)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 6.0)
self.assertEqual(image_info.panfactor ,1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertAlmostEqual(image_info.score, 78.462222222)
image_info.get_raster_stats()
stat_dct = {
1: [44.0, 180.0, 73.05224947061919, 13.760346025453206],
2: [28.0, 182.0, 62.26321535738713, 16.410250286247617],
3: [9.0, 187.0, 51.73902037892776, 17.01731873722769],
4: [7.0, 178.0, 57.128591347040505, 20.162025784223044]
}
datapixelcount_dct = {1: 287601, 2: 287601, 3: 287601, 4: 287601}
self.assertEqual(image_info.stat_dct, stat_dct)
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_image_info_multispectral_dg_ge01(self):
image = 'GE01_20130728161916_1050410002608900_13JUL28161916-M1BS-054448357040_01_P002_u08mr3413.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir, image),
'IMAGE')
self.maxDiff = None
self.assertEqual(image_info.xres, 32.0)
self.assertEqual(image_info.yres, 32.0)
self.assertEqual(
image_info.proj,
'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]'
)
self.assertEqual(image_info.bands, 4)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'GE01')
self.assertEqual(image_info.sunel, 42.2)
self.assertEqual(image_info.ona, 25.0)
self.assertEqual(image_info.cloudcover, 0.0)
self.assertEqual(image_info.tdi, 6.0)
self.assertEqual(image_info.panfactor, 1)
#self.assertEqual(image_info.exposure_factor, 0)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 78.462222222)
image_info.get_raster_stats()
#print image_info.stat_dct
stat_dct = {
1: [44.0, 180.0, 73.05224947061919, 13.760346025453206],
2: [28.0, 182.0, 62.26321535738713, 16.410250286247617],
3: [9.0, 187.0, 51.73902037892776, 17.01731873722769],
4: [7.0, 178.0, 57.128591347040505, 20.162025784223044]
}
datapixelcount_dct = {1: 287601, 2: 287601, 3: 287601, 4: 287601}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def test_pansh_info_wv02(self):
image = 'WV02_20110901210502_103001000D52C800_11SEP01210502-M1BS-052560788010_01_P008_u08rf3413_pansh.tif'
image_info = mosaic.ImageInfo(os.path.join(self.srcdir, image),
'IMAGE')
self.assertEqual(image_info.xres, 0.564193804791)
self.assertEqual(image_info.yres, 0.560335413717)
self.assertEqual(
image_info.proj,
'PROJCS["unnamed",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]],PROJECTION["Polar_Stereographic"],PARAMETER["latitude_of_origin",70],PARAMETER["central_meridian",-45],PARAMETER["scale_factor",1],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]]]'
)
self.assertEqual(image_info.bands, 4)
self.assertEqual(image_info.datatype, 1)
mosaic_args = MosaicArgs()
mosaic_params = mosaic.getMosaicParameters(image_info, mosaic_args)
image_info.getScore(mosaic_params)
self.assertEqual(image_info.sensor, 'WV02')
self.assertEqual(image_info.sunel, 37.8)
self.assertEqual(image_info.ona, 23.5)
self.assertEqual(image_info.cloudcover, 0.003)
self.assertEqual(image_info.tdi, 18.0)
self.assertEqual(image_info.panfactor, 1)
self.assertEqual(image_info.date_diff, -9999)
self.assertEqual(image_info.year_diff, -9999)
self.assertAlmostEqual(image_info.score, 77.34933333333333)
image_info.get_raster_stats()
stat_dct = {1: [3.0, 160.0, 24.244377057512704, 7.0315102573397938]}
datapixelcount_dct = {
1: 976247314,
2: 976247314,
3: 976247314,
4: 976247314
}
for i in range(len(image_info.stat_dct[1])):
self.assertAlmostEqual(image_info.stat_dct[1][i], stat_dct[1][i])
self.assertEqual(image_info.datapixelcount_dct, datapixelcount_dct)
def run_mosaic(tile_builder_script, inpath, mosaicname, mosaic_dir, args,
pos_arg_keys):
if os.path.isfile(inpath):
bTextfile = True
elif os.path.isdir(inpath):
bTextfile = False
if not os.path.isdir(mosaic_dir):
os.makedirs(mosaic_dir)
## TODO: verify logger woks for both interactive and hpc jobs
#### Configure Logger
if args.log is not None:
logfile = os.path.abspath(args.log)
else:
logfile = os.path.join(mosaic_dir, default_logfile)
lfh = logging.FileHandler(logfile)
lfh.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s %(levelname)s- %(message)s',
'%m-%d-%Y %H:%M:%S')
lfh.setFormatter(formatter)
logger.addHandler(lfh)
lsh = logging.StreamHandler()
lsh.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s %(levelname)s- %(message)s',
'%m-%d-%Y %H:%M:%S')
lsh.setFormatter(formatter)
logger.addHandler(lsh)
#### Get exclude list if specified
if args.exclude is not None:
if not os.path.isfile(args.exclude):
logger.error("Value for option --exclude-list is not a valid file")
f = open(args.exclude, 'r')
exclude_list = set([line.rstrip() for line in f.readlines()])
else:
exclude_list = set()
#### Get Images
#logger.info("Reading input images")
xs = []
ys = []
image_list = utils.find_images_with_exclude_list(inpath, bTextfile,
mosaic.EXTS, exclude_list)
if len(image_list) == 0:
raise RuntimeError(
"No images found in input file or directory: {}".format(inpath))
# remove duplicate images
image_list_unique = list(set(image_list))
dupes = [x for n, x in enumerate(image_list) if x in image_list[:n]]
if len(dupes) > 0:
logger.info("Removed %i duplicate image paths", len(dupes))
logger.debug("Dupes: %s", dupes)
image_list = image_list_unique
logger.info("%i existing images found", len(image_list))
#### gather image info list
logger.info("Getting image info")
imginfo_list = [mosaic.ImageInfo(image, "IMAGE") for image in image_list]
#### Get mosaic parameters
logger.info("Setting mosaic parameters")
params = mosaic.getMosaicParameters(imginfo_list[0], args)
logger.info("Mosaic parameters: band count=%i, datatype=%s", params.bands,
params.datatype)
logger.info("Mosaic parameters: projection=%s", params.proj)
#### Remove images that do not match ref
logger.info("Applying attribute filter")
imginfo_list2 = mosaic.filterMatchingImages(imginfo_list, params)
if len(imginfo_list2) == 0:
raise RuntimeError(
"No valid images found. Check input filter parameters.")
logger.info("%i of %i images match filter", len(imginfo_list2),
len(image_list))
#### if extent is specified, build tile params and compare extent to input image geom
if args.extent:
imginfo_list3 = mosaic.filter_images_by_geometry(imginfo_list2, params)
#### else set extent after image geoms computed
else:
#### Get geom for each image
imginfo_list3 = []
for iinfo in imginfo_list2:
if iinfo.geom is not None:
xs = xs + iinfo.xs
ys = ys + iinfo.ys
imginfo_list3.append(iinfo)
else: # remove from list if no geom
logger.debug("Null geometry for image: %s", iinfo.srcfn)
params.xmin = min(xs)
params.xmax = max(xs)
params.ymin = min(ys)
params.ymax = max(ys)
poly_wkt = 'POLYGON (( {} {}, {} {}, {} {}, {} {}, {} {} ))'.format(
params.xmin, params.ymin, params.xmin, params.ymax, params.xmax,
params.ymax, params.xmax, params.ymin, params.xmin, params.ymin)
params.extent_geom = ogr.CreateGeometryFromWkt(poly_wkt)
if len(imginfo_list3) == 0:
raise RuntimeError("No images found that intersect mosaic extent")
logger.info(
"Mosaic parameters: resolution %f x %f, tilesize %f x %f, extent %f %f %f %f",
params.xres, params.yres, params.xtilesize, params.ytilesize,
params.xmin, params.xmax, params.ymin, params.ymax)
logger.info("%d of %d input images intersect mosaic extent",
len(imginfo_list3), len(imginfo_list2))
## Sort images by score
logger.info("Reading image metadata and determining sort order")
for iinfo in imginfo_list3:
iinfo.getScore(params)
if not args.nosort:
imginfo_list3.sort(key=lambda x: x.score)
logger.info("Getting Exact Image geometry")
imginfo_list4 = []
all_valid = True
for iinfo in imginfo_list3:
if iinfo.score > 0 or args.nosort:
simplify_tolerance = 2.0 * (
(params.xres + params.yres) / 2.0
) ## 2 * avg(xres, yres), should be 1 for panchromatic mosaics where res = 0.5m
geom, xs1, ys1 = mosaic.GetExactTrimmedGeom(
iinfo.srcfp,
step=args.cutline_step,
tolerance=simplify_tolerance)
if geom is None:
logger.warning(
"%s: geometry could not be determined, verify image is valid",
iinfo.srcfn)
all_valid = False
elif geom.IsEmpty():
logger.warning("%s: geometry is empty", iinfo.srcfn)
all_valid = False
else:
iinfo.geom = geom
tm = datetime.today()
imginfo_list4.append(iinfo)
centroid = geom.Centroid()
logger.info("%s: geometry acquired - centroid: %f, %f",
iinfo.srcfn, centroid.GetX(), centroid.GetY())
#print(geom)
else:
logger.debug("Image has an invalid score: %s --> %i", iinfo.srcfp,
iinfo.score)
if not all_valid:
if not args.allow_invalid_geom:
raise RuntimeError(
"Some source images do not have valid geometries. Cannot proceeed"
)
else:
logger.info(
"--allow-invalid-geom used; mosaic will be created using %i valid images (%i invalid \
images not used.)".format(
len(imginfo_list4),
len(imginfo_list3) - len(imginfo_list4)))
# Get stats if needed
logger.info("Getting image metadata")
for iinfo in imginfo_list4:
logger.info(iinfo.srcfn)
if args.calc_stats or args.median_remove:
iinfo.get_raster_stats(args.calc_stats, args.median_remove)
# Build componenet index
if args.component_shp:
if args.mode == "ALL" or args.mode == "SHP":
contribs = [(iinfo, iinfo.geom) for iinfo in imginfo_list4]
logger.info("Number of contributors: %d", len(contribs))
logger.info("Building component index")
comp_shp = mosaicname + "_components.shp"
if len(contribs) > 0:
if os.path.isfile(comp_shp):
logger.info("Components shapefile already exists: %s",
comp_shp)
else:
build_shp(contribs, comp_shp, args, params)
else:
logger.error("No contributing images")
# Build cutlines index
#### Overlay geoms and remove non-contributors
logger.info("Overlaying images to determine contribution geom")
contribs = mosaic.determine_contributors(imginfo_list4, params.extent_geom,
args.min_contribution_area)
logger.info("Number of contributors: %d", len(contribs))
if args.mode == "ALL" or args.mode == "SHP":
logger.info("Building cutlines index")
shp = mosaicname + "_cutlines.shp"
if len(contribs) > 0:
if os.path.isfile(shp):
logger.info("Cutlines shapefile already exists: %s", shp)
else:
build_shp(contribs, shp, args, params)
else:
logger.error("No contributing images")
## Create tile objects
tiles = []
xtiledim = math.ceil((params.xmax - params.xmin) / params.xtilesize)
ytiledim = math.ceil((params.ymax - params.ymin) / params.ytilesize)
logger.info("Tiles: %d rows, %d columns", ytiledim, xtiledim)
xtdb = len(str(int(xtiledim)))
ytdb = len(str(int(ytiledim)))
i = 1
for x in mosaic.drange(params.xmin, params.xmax,
params.xtilesize): # Columns
if x + params.xtilesize > params.xmax:
x2 = params.xmax
else:
x2 = x + params.xtilesize
j = 1
for y in mosaic.drange(params.ymin, params.ymax,
params.ytilesize): # Rows
if y + params.ytilesize > params.ymax:
y2 = params.ymax
else:
y2 = y + params.ytilesize
tilename = "{}_{}_{}.tif".format(mosaicname,
mosaic.buffernum(j, ytdb),
mosaic.buffernum(i, xtdb))
tile = mosaic.TileParams(x, x2, y, y2, j, i, tilename)
tiles.append(tile)
j += 1
i += 1
#### Write shapefile of tiles
if len(tiles) == 0:
raise RuntimeError("No tile objects created")
if args.mode == "ALL" or args.mode == "SHP":
build_tiles_shp(mosaicname, tiles, params)
## Build tile tasks
task_queue = []
#### Create task for each tile
arg_keys_to_remove = ('l', 'qsubscript', 'parallel_processes', 'log',
'mode', 'extent', 'resolution', 'bands', 'max_cc',
'exclude', 'nosort', 'component_shp', 'cutline_step',
'min_contribution_area', 'calc_stats', 'pbs',
'slurm', 'tday', 'tyear', 'allow_invalid_geom')
tile_arg_str = taskhandler.convert_optional_args_to_string(
args, pos_arg_keys, arg_keys_to_remove)
logger.debug("Identifying components of %i subtiles", len(tiles))
i = 0
for t in tiles:
logger.debug("Identifying components of tile %i of %i: %s", i,
len(tiles), os.path.basename(t.name))
#### determine which images in each tile - create geom and query image geoms
logger.debug("Running intersect with imagery")
intersects = []
for iinfo, contrib_geom in contribs:
if contrib_geom.Intersects(t.geom):
if args.median_remove:
## parse median dct into text
median_string = ";".join([
"{}:{}".format(k, v) for k, v in iinfo.median.items()
])
intersects.append("{},{}".format(iinfo.srcfp,
median_string))
else:
intersects.append(iinfo.srcfp)
#### If any images are in the tile, mosaic them
if len(intersects) > 0:
tile_basename = os.path.basename(os.path.splitext(t.name)[0])
logger.info("Number of contributors to subtile %s: %i",
tile_basename, len(intersects))
itpath = os.path.join(mosaic_dir,
tile_basename + "_intersects.txt")
it = open(itpath, "w")
it.write("\n".join(intersects))
it.close()
#### Submit QSUB job
logger.debug("Building mosaicking job for tile: %s",
os.path.basename(t.name))
if not os.path.isfile(t.name):
cmd = r'{} {} -e {} {} {} {} -r {} {} -b {} {} {}'.format(
tile_builder_script, tile_arg_str, t.xmin, t.xmax, t.ymin,
t.ymax, params.xres, params.yres, params.bands, t.name,
itpath)
task = taskhandler.Task(
'Tile {0}'.format(os.path.basename(t.name)),
'Mos{:04g}'.format(i), 'python', cmd)
if args.mode == "ALL" or args.mode == "MOSAIC":
logger.debug(cmd)
task_queue.append(task)
else:
logger.info("Tile already exists: %s",
os.path.basename(t.name))
i += 1
if args.mode == "ALL" or args.mode == "MOSAIC":
logger.info("Submitting Tasks")
#logger.info(task_queue)
if len(task_queue) > 0:
try:
task_handler = taskhandler.ParallelTaskHandler(
args.parallel_processes)
except RuntimeError as e:
logger.error(e)
else:
if task_handler.num_processes > 1:
logger.info("Number of child processes to spawn: %i",
task_handler.num_processes)
task_handler.run_tasks(task_queue)
logger.info("Done")
else:
logger.info("No tasks to process")
def HandleTile(t, src, dstdir, csvpath, args, exclude_list):
otxtpath = os.path.join(
dstdir,
"{}_{}_orig.txt".format(os.path.basename(csvpath)[:-4], t.name))
mtxtpath = os.path.join(
dstdir,
"{}_{}_ortho.txt".format(os.path.basename(csvpath)[:-4], t.name))
if os.path.isfile(otxtpath) and os.path.isfile(
mtxtpath) and args.overwrite is False:
logger.info("Tile %s processing files already exist", t.name)
else:
logger.info("Tile %s", t.name)
t_srs = osr.SpatialReference()
t_srs.ImportFromEPSG(t.epsg)
#### Open mfp
dsp, lyrn = utils.get_source_names(src)
ds = ogr.Open(dsp)
if ds is None:
logger.error("Open failed")
else:
lyr = ds.GetLayerByName(lyrn)
if not lyr:
raise RuntimeError(
"Layer {} does not exist in dataset {}".format(lyrn, dsp))
else:
s_srs = lyr.GetSpatialRef()
#logger.debug(str(s_srs))
#logger.debug(str(t.geom))
tile_geom_in_s_srs = t.geom.Clone()
if not t_srs.IsSame(s_srs):
ict = osr.CoordinateTransformation(t_srs, s_srs)
ct = osr.CoordinateTransformation(s_srs, t_srs)
tile_geom_in_s_srs.Transform(ict)
# if the geometry crosses meridian, split it into multipolygon (else this breaks SetSpatialFilter)
if utils.doesCross180(tile_geom_in_s_srs):
logger.debug(
"tile_geom_in_s_srs crosses 180 meridian; splitting to multiple polygons..."
)
tile_geom_in_s_srs = utils.getWrappedGeometry(
tile_geom_in_s_srs)
lyr.ResetReading()
lyr.SetSpatialFilter(tile_geom_in_s_srs)
feat = lyr.GetNextFeature()
imginfo_list1 = []
while feat:
iinfo = mosaic.ImageInfo(feat, "RECORD", srs=s_srs)
if iinfo.geom is not None and iinfo.geom.GetGeometryType(
) in (ogr.wkbPolygon, ogr.wkbMultiPolygon):
if not t_srs.IsSame(s_srs):
iinfo.geom.Transform(ct)
## fix self-intersection errors caused by reprojecting over 180
temp = iinfo.geom.Buffer(
0.1
) # assumes a projected coordinate system with meters or feet as units
iinfo.geom = temp
if iinfo.geom.Intersects(t.geom):
if iinfo.scene_id in exclude_list:
logger.debug(
"Scene in exclude list, excluding: %s",
iinfo.srcfp)
elif not os.path.isfile(iinfo.srcfp):
logger.warning(
"Scene path is invalid, excluding %s (path = %s)",
iinfo.scene_id, iinfo.srcfp)
elif args.require_pan:
srcfp = iinfo.srcfp
srcdir, mul_name = os.path.split(srcfp)
if iinfo.sensor in ["WV02", "WV03", "QB02"]:
pan_name = mul_name.replace("-M", "-P")
elif iinfo.sensor == "GE01":
if "_5V" in mul_name:
pan_name_base = srcfp[:-24].replace(
"M0", "P0")
candidates = glob.glob(pan_name_base +
"*")
candidates2 = [
f for f in candidates
if f.endswith(('.ntf', '.NTF',
'.tif', '.TIF'))
]
if len(candidates2) == 0:
pan_name = ''
elif len(candidates2) == 1:
pan_name = os.path.basename(
candidates2[0])
else:
pan_name = ''
logger.error(
'%i panchromatic images match the multispectral image name '
'%s', len(candidates2),
mul_name)
else:
pan_name = mul_name.replace("-M", "-P")
elif iinfo.sensor == "IK01":
pan_name = mul_name.replace("blu", "pan")
pan_name = mul_name.replace("msi", "pan")
pan_name = mul_name.replace("bgrn", "pan")
pan_srcfp = os.path.join(srcdir, pan_name)
if not os.path.isfile(pan_srcfp):
logger.debug(
"Image does not have a panchromatic component, excluding: %s",
iinfo.srcfp)
else:
logger.debug("Intersect %s, %s: %s",
iinfo.scene_id, iinfo.srcfp,
str(iinfo.geom))
imginfo_list1.append(iinfo)
else:
logger.debug("Intersect %s, %s: %s",
iinfo.scene_id, iinfo.srcfp,
str(iinfo.geom))
imginfo_list1.append(iinfo)
feat = lyr.GetNextFeature()
ds = None
logger.info("Number of intersects in tile %s: %i", t.name,
len(imginfo_list1))
if len(imginfo_list1) > 0:
#### Get mosaic parameters
logger.debug("Getting mosaic parameters")
params = mosaic.getMosaicParameters(imginfo_list1[0], args)
#### Remove images that do not match ref
logger.debug("Setting image pattern filter")
imginfo_list2 = mosaic.filterMatchingImages(
imginfo_list1, params)
logger.info("Number of images matching filter: %i",
len(imginfo_list2))
if args.nosort is False:
#### Sort by quality
logger.debug("Sorting images by quality")
imginfo_list3 = []
for iinfo in imginfo_list2:
iinfo.getScore(params)
if iinfo.score > 0:
imginfo_list3.append(iinfo)
# sort so highest score is last
imginfo_list3.sort(key=lambda x: x.score)
else:
imginfo_list3 = list(imginfo_list2)
#### Overlay geoms and remove non-contributors
logger.debug("Overlaying images to determine contributors")
contribs = mosaic.determine_contributors(
imginfo_list3, t.geom, args.min_contribution_area)
logger.info("Number of contributing images: %i", len(contribs))
if len(contribs) > 0:
if args.build_shp:
#######################################################
#### Create Shp
shp = os.path.join(
dstdir,
"{}_{}_imagery.shp".format(args.mosaic, t.name))
logger.debug("Creating shapefile of geoms: %s", shp)
fields = [("IMAGENAME", ogr.OFTString, 100),
("SCORE", ogr.OFTReal, 0)]
OGR_DRIVER = "ESRI Shapefile"
ogrDriver = ogr.GetDriverByName(OGR_DRIVER)
if ogrDriver is None:
logger.debug("OGR: Driver %s is not available",
OGR_DRIVER)
sys.exit(-1)
if os.path.isfile(shp):
ogrDriver.DeleteDataSource(shp)
vds = ogrDriver.CreateDataSource(shp)
if vds is None:
logger.debug("Could not create shp")
sys.exit(-1)
shpd, shpn = os.path.split(shp)
shpbn, shpe = os.path.splitext(shpn)
lyr = vds.CreateLayer(shpbn, t_srs, ogr.wkbPolygon)
if lyr is None:
logger.debug("ERROR: Failed to create layer: %s",
shpbn)
sys.exit(-1)
for fld, fdef, flen in fields:
field_defn = ogr.FieldDefn(fld, fdef)
if fdef == ogr.OFTString:
field_defn.SetWidth(flen)
if lyr.CreateField(field_defn) != 0:
logger.debug(
"ERROR: Failed to create field: %s", fld)
for iinfo, geom in contribs:
logger.debug("Image: %s", iinfo.srcfn)
feat = ogr.Feature(lyr.GetLayerDefn())
feat.SetField("IMAGENAME", iinfo.srcfn)
feat.SetField("SCORE", iinfo.score)
feat.SetGeometry(geom)
if lyr.CreateFeature(feat) != 0:
logger.debug(
"ERROR: Could not create feature for image %s",
iinfo.srcfn)
else:
logger.debug("Created feature for image: %s",
iinfo.srcfn)
feat.Destroy()
#### Write textfiles
if not os.path.isdir(dstdir):
os.makedirs(dstdir)
otxtpath = os.path.join(
dstdir, "{}_{}_orig.txt".format(args.mosaic, t.name))
mtxtpath = os.path.join(
dstdir, "{}_{}_ortho.txt".format(args.mosaic, t.name))
otxt = open(otxtpath, 'w')
mtxt = open(mtxtpath, 'w')
for iinfo, geom in contribs:
if not os.path.isfile(iinfo.srcfp):
logger.warning("Image does not exist: %s",
iinfo.srcfp)
otxt.write("{}\n".format(iinfo.srcfp))
m_fn = "{0}_u08{1}{2}.tif".format(
os.path.splitext(iinfo.srcfn)[0], args.stretch,
t.epsg)
mtxt.write(
os.path.join(dstdir, 'ortho', t.name, m_fn) + "\n")
otxt.close()
def HandleTile(t, src, dstdir, csvpath, args, exclude_list):
otxtpath = os.path.join(dstdir, "{}_{}_orig.txt".format(os.path.basename(csvpath)[:-4], t.name))
mtxtpath = os.path.join(dstdir, "{}_{}_ortho.txt".format(os.path.basename(csvpath)[:-4], t.name))
if os.path.isfile(otxtpath) and os.path.isfile(mtxtpath) and args.overwrite is False:
logger.info("Tile %s processing files already exist", t.name)
else:
logger.info("Tile %s", t.name)
t_srs = utils.osr_srs_preserve_axis_order(osr.SpatialReference())
t_srs.ImportFromEPSG(t.epsg)
#### Open mfp
dsp, lyrn = utils.get_source_names(src)
ds = ogr.Open(dsp)
if ds is None:
logger.error("Open failed")
else:
lyr = ds.GetLayerByName(lyrn)
if not lyr:
raise RuntimeError("Layer {} does not exist in dataset {}".format(lyrn, dsp))
else:
s_srs = lyr.GetSpatialRef()
#logger.debug(str(s_srs))
#logger.debug(str(t.geom))
tile_geom_in_s_srs = t.geom.Clone()
if not t_srs.IsSame(s_srs):
ict = osr.CoordinateTransformation(t_srs, s_srs)
ct = osr.CoordinateTransformation(s_srs, t_srs)
tile_geom_in_s_srs.Transform(ict)
# if the geometry crosses meridian, split it into multipolygon (else this breaks SetSpatialFilter)
if utils.doesCross180(tile_geom_in_s_srs):
logger.debug("tile_geom_in_s_srs crosses 180 meridian; splitting to multiple polygons...")
tile_geom_in_s_srs = utils.getWrappedGeometry(tile_geom_in_s_srs)
lyr.ResetReading()
lyr.SetSpatialFilter(tile_geom_in_s_srs)
feat = lyr.GetNextFeature()
imginfo_list1 = []
while feat:
iinfo = mosaic.ImageInfo(feat, "RECORD", srs=s_srs)
if iinfo.geom is not None and iinfo.geom.GetGeometryType() in (ogr.wkbPolygon, ogr.wkbMultiPolygon):
if not t_srs.IsSame(s_srs):
iinfo.geom.Transform(ct)
## fix self-intersection errors caused by reprojecting over 180
temp = iinfo.geom.Buffer(0.1) # assumes a projected coordinate system with meters or feet as units
iinfo.geom = temp
if iinfo.geom.Intersects(t.geom):
if iinfo.scene_id in exclude_list:
logger.debug("Scene in exclude list, excluding: %s", iinfo.srcfp)
elif not os.path.isfile(iinfo.srcfp) and iinfo.status != "tape":
#logger.info("iinfo.status != tape: {0}".format(iinfo.status != "tape"))
logger.warning("Scene path is invalid, excluding %s (path = %s) (status = %s)",
iinfo.scene_id, iinfo.srcfp, iinfo.status)
elif args.require_pan:
srcfp = iinfo.srcfp
srcdir, mul_name = os.path.split(srcfp)
if iinfo.sensor in ["WV02", "WV03", "QB02"]:
pan_name = mul_name.replace("-M", "-P")
elif iinfo.sensor == "GE01":
if "_5V" in mul_name:
pan_name_base = srcfp[:-24].replace("M0", "P0")
candidates = glob.glob(pan_name_base + "*")
candidates2 = [f for f in candidates if f.endswith(('.ntf', '.NTF', '.tif',
'.TIF'))]
if len(candidates2) == 0:
pan_name = ''
elif len(candidates2) == 1:
pan_name = os.path.basename(candidates2[0])
else:
pan_name = ''
logger.error('%i panchromatic images match the multispectral image name '
'%s', len(candidates2), mul_name)
else:
pan_name = mul_name.replace("-M", "-P")
elif iinfo.sensor == "IK01":
pan_name = mul_name.replace("blu", "pan")
pan_name = mul_name.replace("msi", "pan")
pan_name = mul_name.replace("bgrn", "pan")
pan_srcfp = os.path.join(srcdir, pan_name)
if not os.path.isfile(pan_srcfp):
logger.debug("Image does not have a panchromatic component, excluding: %s",
iinfo.srcfp)
else:
logger.debug("Intersect %s, %s: %s", iinfo.scene_id, iinfo.srcfp, str(iinfo.geom))
imginfo_list1.append(iinfo)
else:
logger.debug("Intersect %s, %s: %s", iinfo.scene_id, iinfo.srcfp, str(iinfo.geom))
imginfo_list1.append(iinfo)
feat = lyr.GetNextFeature()
ds = None
logger.info("Number of intersects in tile %s: %i", t.name, len(imginfo_list1))
if len(imginfo_list1) > 0:
#### Get mosaic parameters
logger.debug("Getting mosaic parameters")
params = mosaic.getMosaicParameters(imginfo_list1[0], args)
#### Remove images that do not match ref
logger.debug("Setting image pattern filter")
imginfo_list2 = mosaic.filterMatchingImages(imginfo_list1, params)
logger.info("Number of images matching filter: %i", len(imginfo_list2))
if args.nosort is False:
#### Sort by quality
logger.debug("Sorting images by quality")
imginfo_list3 = []
for iinfo in imginfo_list2:
iinfo.getScore(params)
if iinfo.score > 0:
imginfo_list3.append(iinfo)
# sort so highest score is last
imginfo_list3.sort(key=lambda x: x.score)
else:
imginfo_list3 = list(imginfo_list2)
#### Overlay geoms and remove non-contributors
logger.debug("Overlaying images to determine contributors")
contribs = mosaic.determine_contributors(imginfo_list3, t.geom, args.min_contribution_area)
logger.info("Number of contributing images: %i", len(contribs))
if len(contribs) > 0:
if args.build_shp:
#######################################################
#### Create Shp
shp = os.path.join(dstdir, "{}_{}_imagery.shp".format(args.mosaic, t.name))
logger.debug("Creating shapefile of geoms: %s", shp)
fields = [("IMAGENAME", ogr.OFTString, 100), ("SCORE", ogr.OFTReal, 0)]
OGR_DRIVER = "ESRI Shapefile"
ogrDriver = ogr.GetDriverByName(OGR_DRIVER)
if ogrDriver is None:
logger.debug("OGR: Driver %s is not available", OGR_DRIVER)
sys.exit(-1)
if os.path.isfile(shp):
ogrDriver.DeleteDataSource(shp)
vds = ogrDriver.CreateDataSource(shp)
if vds is None:
logger.debug("Could not create shp")
sys.exit(-1)
shpd, shpn = os.path.split(shp)
shpbn, shpe = os.path.splitext(shpn)
lyr = vds.CreateLayer(shpbn, t_srs, ogr.wkbPolygon)
if lyr is None:
logger.debug("ERROR: Failed to create layer: %s", shpbn)
sys.exit(-1)
for fld, fdef, flen in fields:
field_defn = ogr.FieldDefn(fld, fdef)
if fdef == ogr.OFTString:
field_defn.SetWidth(flen)
if lyr.CreateField(field_defn) != 0:
logger.debug("ERROR: Failed to create field: %s", fld)
for iinfo, geom in contribs:
logger.debug("Image: %s", iinfo.srcfn)
feat = ogr.Feature(lyr.GetLayerDefn())
feat.SetField("IMAGENAME", iinfo.srcfn)
feat.SetField("SCORE", iinfo.score)
feat.SetGeometry(geom)
if lyr.CreateFeature(feat) != 0:
logger.debug("ERROR: Could not create feature for image %s", iinfo.srcfn)
else:
logger.debug("Created feature for image: %s", iinfo.srcfn)
feat.Destroy()
#### Write textfiles
if not os.path.isdir(dstdir):
os.makedirs(dstdir)
otxtpath = os.path.join(dstdir, "{}_{}_orig.txt".format(args.mosaic, t.name))
otxtpath_ontape = os.path.join(dstdir, "{}_{}_orig_ontape.csv".format(args.mosaic, t.name))
mtxtpath = os.path.join(dstdir, "{}_{}_ortho.txt".format(args.mosaic, t.name))
rn_fromtape_basedir = os.path.join(dstdir, "renamed_fromtape")
rn_fromtape_path = os.path.join(rn_fromtape_basedir, t.name)
otxt = open(otxtpath, 'w')
ttxt = open(otxtpath_ontape, 'w')
mtxt = open(mtxtpath, 'w')
# write header
ttxt.write("{0},{1},{2}\n".format("SCENE_ID", "S_FILEPATH", "STATUS"))
tape_ct = 0
for iinfo, geom in contribs:
if not os.path.isfile(iinfo.srcfp) and iinfo.status != "tape":
logger.warning("Image does not exist: %s", iinfo.srcfp)
if iinfo.status == "tape":
tape_ct += 1
ttxt.write("{0},{1},{2}\n".format(iinfo.scene_id, iinfo.srcfp, iinfo.status))
# get srcfp with file extension
srcfp_file = os.path.basename(iinfo.srcfp)
otxt.write("{}\n".format(os.path.join(rn_fromtape_path, srcfp_file)))
else:
otxt.write("{}\n".format(iinfo.srcfp))
m_fn = "{0}_u08{1}{2}.tif".format(
os.path.splitext(iinfo.srcfn)[0],
args.stretch,
t.epsg
)
mtxt.write(os.path.join(dstdir, 'ortho', t.name, m_fn) + "\n")
otxt.close()
if tape_ct == 0:
logger.debug("No files need to be pulled from tape.")
os.remove(otxtpath_ontape)
else:
# make output dirs from tape
if not os.path.isdir(rn_fromtape_basedir):
os.mkdir(rn_fromtape_basedir)
if not os.path.isdir(rn_fromtape_path):
os.mkdir(rn_fromtape_path)
tape_tmp = os.path.join(dstdir, "{0}_{1}_tmp".format(args.mosaic, t.name))
if not os.path.isdir(tape_tmp):
os.mkdir(tape_tmp)
logger.warning("{0} scenes are not accessible, as they are on tape. Please use ir.py to pull "
"scenes using file '{1}'. They must be put in directory '{2}', as file '{3}' "
"contains hard-coded paths to said files (necessary to perform "
"orthorectification). Please set a --tmp path (use '{4}').\n"
"Note that if some (or all) scenes have already been pulled from tape, ir.py "
"will not pull them again.\n".
format(tape_ct, otxtpath_ontape, rn_fromtape_path, otxtpath, tape_tmp))
tape_log = "{0}_{1}_ir_log_{2}.log".format(args.mosaic, t.name,
datetime.today().strftime("%Y%m%d%H%M%S"))
root_pgclib_path = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
"pgclib", "")
logger.info("Suggested ir.py command:\n\n"
""
"python {}ir.py -i {} -o {} --tmp {} -tm link 2>&1 | tee {}"
.format(root_pgclib_path, otxtpath_ontape, rn_fromtape_path, tape_tmp,
os.path.join(dstdir, tape_log)))