def test_speckle_correction_constructor(self):
"""
Test speckle-correction.
"""
# Get collection with extra bands.
s1base = sentinel1.Sentinel1(
self.roi,
self.sdate,
self.edate,
correctlia=False,
addbands=True,
addspeckle=True,
addtexture=False,
orbit='ascending',
)
s1speckle = s1base.get_img_coll()
testimg_s1speckle = ee.Image(s1speckle.first())
expected_bands = [
u'VV', u'VH', u'angle', u'VH_RLSPCK', u'VV_RLSPCK', u'DIFF',
u'RATIO', u'DIFF_RLSPCK', u'RATIO_RLSPCK'
]
compare_bands(
self, testimg_s1speckle, expected_bands,
{'msg': 'Sentinel 1 with speckle-correction had the wrong bands'})
def test_s1(self):
s1seascoll = getS1Plus(self.roi, 2018, True, True)
s1seasimg = ee.Image(s1seascoll.first())
expected_bands = [
u'VV', u'VH', u'angle', u'LIA', u'VH_RLSPCK', u'VV_RLSPCK',
u'DIFF', u'RATIO', u'DIFF_RLSPCK', u'RATIO_RLSPCK', u'DOY'
]
compare_bands(self, s1seasimg, expected_bands,
{'msg': 'Test image for S1 had the wrong bands'})
def test_glcm_texture(self):
"""
Test GLCM texture.
"""
# Get collection with extra bands.
s1base = sentinel1.Sentinel1(self.roi, self.sdate, self.edate)
s1glcm = s1base.get_img_coll(correctlia=False,
addbands=True,
addspeckle=True,
addtexture=True,
orbit='ascending')
testimg_s1glcm = ee.Image(s1glcm.first())
# TODO can we generate this with code
# TODO not sure if this is correct
expected_bands = [
u'VV', u'VH', u'angle', u'VH_RLSPCK', u'VV_RLSPCK', u'DIFF',
u'RATIO', u'DIFF_RLSPCK', u'RATIO_RLSPCK', u'DIFF_asm',
u'DIFF_contrast', u'DIFF_corr', u'DIFF_var', u'DIFF_idm',
u'DIFF_savg', u'DIFF_svar', u'DIFF_sent', u'DIFF_ent',
u'DIFF_dvar', u'DIFF_dent', u'DIFF_imcorr1', u'DIFF_imcorr2',
u'DIFF_maxcorr', u'DIFF_diss', u'DIFF_inertia', u'DIFF_shade',
u'DIFF_prom', u'DIFF_RLSPCK_asm', u'DIFF_RLSPCK_contrast',
u'DIFF_RLSPCK_corr', u'DIFF_RLSPCK_var', u'DIFF_RLSPCK_idm',
u'DIFF_RLSPCK_savg', u'DIFF_RLSPCK_svar', u'DIFF_RLSPCK_sent',
u'DIFF_RLSPCK_ent', u'DIFF_RLSPCK_dvar', u'DIFF_RLSPCK_dent',
u'DIFF_RLSPCK_imcorr1', u'DIFF_RLSPCK_imcorr2',
u'DIFF_RLSPCK_maxcorr', u'DIFF_RLSPCK_diss',
u'DIFF_RLSPCK_inertia', u'DIFF_RLSPCK_shade', u'DIFF_RLSPCK_prom',
u'VH_asm', u'VH_contrast', u'VH_corr', u'VH_var', u'VH_idm',
u'VH_savg', u'VH_svar', u'VH_sent', u'VH_ent', u'VH_dvar',
u'VH_dent', u'VH_imcorr1', u'VH_imcorr2', u'VH_maxcorr',
u'VH_diss', u'VH_inertia', u'VH_shade', u'VH_prom',
u'VH_RLSPCK_asm', u'VH_RLSPCK_contrast', u'VH_RLSPCK_corr',
u'VH_RLSPCK_var', u'VH_RLSPCK_idm', u'VH_RLSPCK_savg',
u'VH_RLSPCK_svar', u'VH_RLSPCK_sent', u'VH_RLSPCK_ent',
u'VH_RLSPCK_dvar', u'VH_RLSPCK_dent', u'VH_RLSPCK_imcorr1',
u'VH_RLSPCK_imcorr2', u'VH_RLSPCK_maxcorr', u'VH_RLSPCK_diss',
u'VH_RLSPCK_inertia', u'VH_RLSPCK_shade', u'VH_RLSPCK_prom',
u'VV_asm', u'VV_contrast', u'VV_corr', u'VV_var', u'VV_idm',
u'VV_savg', u'VV_svar', u'VV_sent', u'VV_ent', u'VV_dvar',
u'VV_dent', u'VV_imcorr1', u'VV_imcorr2', u'VV_maxcorr',
u'VV_diss', u'VV_inertia', u'VV_shade', u'VV_prom',
u'VV_RLSPCK_asm', u'VV_RLSPCK_contrast', u'VV_RLSPCK_corr',
u'VV_RLSPCK_var', u'VV_RLSPCK_idm', u'VV_RLSPCK_savg',
u'VV_RLSPCK_svar', u'VV_RLSPCK_sent', u'VV_RLSPCK_ent',
u'VV_RLSPCK_dvar', u'VV_RLSPCK_dent', u'VV_RLSPCK_imcorr1',
u'VV_RLSPCK_imcorr2', u'VV_RLSPCK_maxcorr', u'VV_RLSPCK_diss',
u'VV_RLSPCK_inertia', u'VV_RLSPCK_shade', u'VV_RLSPCK_prom'
]
compare_bands(
self, testimg_s1glcm, expected_bands, {
'msg':
'Sentinel 1 with speckle-correction and GLCM texture had the wrong bands'
})
def test_base_collection(self):
"""
Test base collection (raw S1 assets).
"""
# Generate base collection.
s1base = sentinel1.Sentinel1(self.roi, self.sdate, self.edate)
testimg_base = ee.Image(s1base.coll.first(
)) # TODO tests should be agnostic to the underlying implementation
expected_bands = [u'VV', u'VH', u'angle']
compare_bands(self, testimg_base, expected_bands,
{'msg': 'Sentinel 1 base image had the wrong bands'})
def test_s2(self):
s2seascoll = getS2Plus(self.roi, 2018, True)
s2seasimg = ee.Image(s2seascoll.first())
expected_bands = [
u'AEROS', u'BLUE', u'GREEN', u'RED', u'RDED1', u'RDED2', u'RDED3',
u'NIR', u'RDED4', u'VAPOR', u'CIRRU', u'SWIR1', u'SWIR2', u'QA10',
u'QA20', u'QA60', u'QA60_DECODED', u'DOY', u'QA_HOLLST',
u'QA_FSEV1', u'NBR1', u'NBR2', u'STI', u'NDTI', u'CRC', u'REIP',
u'GCVI', u'RDGCVI1', u'RDGCVI2', u'MTCI', u'MTCI2', u'WDRVI',
u'GRWDRVI', u'RDWDRVI', u'RDNDVI1', u'RDNDVI2', u'NDVI'
]
compare_bands(self, s2seasimg, expected_bands,
{'msg': 'Test image for S2 had the wrong bands'})
def test_base_collection(self):
"""
Test base collection (raw S2 assets).
"""
# Generate base collection.
s2base = sentinel2.Sentinel2TOA(self.roi, self.sdate, self.edate)
testimg_base = ee.Image(s2base.coll.first()) # TODO tests should be agnostic to the underlying implementation
expected_bands = [
u'AEROS', u'BLUE', u'GREEN', u'RED', u'RDED1', u'RDED2', u'RDED3',
u'NIR', u'RDED4', u'VAPOR', u'CIRRU', u'SWIR1', u'SWIR2', u'QA10',
u'QA20', u'QA60'
]
compare_bands(self, testimg_base, expected_bands, {'msg': 'Sentinel 2 base image had the wrong bands'})
def test_cloud_mask(self):
"""
Test Cloud masks.
"""
# Get collection with extra bands.
s2base = sentinel2.Sentinel2TOA(self.roi, self.sdate, self.edate)
s2qa = s2base.get_img_coll(addVIs=True, addCloudMasks=True)
testimg_s2qa = ee.Image(s2qa.first())
expected_bands = [
u'AEROS', u'BLUE', u'GREEN', u'RED', u'RDED1', u'RDED2', u'RDED3', u'NIR', u'RDED4', u'VAPOR',
u'CIRRU', u'SWIR1', u'SWIR2', u'QA10', u'QA20', u'QA60', u'QA60_DECODED', u'DOY', u'QA_HOLLST',
u'QA_FSEV1', u'NBR1', u'NBR2', u'STI', u'NDTI', u'CRC', u'REIP', u'GCVI', u'RDGCVI1', u'RDGCVI2',
u'MTCI', u'MTCI2', u'WDRVI', u'GRWDRVI', u'RDWDRVI', u'RDNDVI1', u'RDNDVI2', u'NDVI'
]
compare_bands(self, testimg_s2qa, expected_bands, {'msg': 'Sentinel 2 with VIs and cloud masks had the wrong bands'})
def test_extra_bands(self):
"""
Test extra bands (difference and polarization).
"""
# Get collection with extra bands.
s1base = sentinel1.Sentinel1(self.roi, self.sdate, self.edate)
s1extra = s1base.get_img_coll(correctlia=False,
addbands=True,
addspeckle=False,
addtexture=False,
orbit='ascending')
testimg_s1extra = ee.Image(s1extra.first())
expected_bands = [u'VV', u'VH', u'angle', u'DIFF', u'RATIO']
compare_bands(self, testimg_s1extra, expected_bands,
{'msg': 'Sentinel 1 with extras had the wrong bands'})
def test_VIs_constructor(self):
"""
Test VIs.
"""
# Get collection with extra bands.
s2base = sentinel2.Sentinel2TOA(
self.roi, self.sdate, self.edate,
addVIs=True, addCloudMasks=False,
)
s2extra = s2base.get_img_coll()
testimg_s2extra = ee.Image(s2extra.first())
expected_bands = [
u'AEROS', u'BLUE', u'GREEN', u'RED', u'RDED1', u'RDED2', u'RDED3', u'NIR', u'RDED4',
u'VAPOR', u'CIRRU', u'SWIR1', u'SWIR2', u'QA10', u'QA20', u'QA60', u'NBR1', u'NBR2',
u'STI', u'NDTI', u'CRC', u'REIP', u'GCVI', u'RDGCVI1', u'RDGCVI2', u'MTCI', u'MTCI2',
u'WDRVI', u'GRWDRVI', u'RDWDRVI', u'RDNDVI1', u'RDNDVI2', u'NDVI'
]
compare_bands(self, testimg_s2extra, expected_bands, {'msg': 'Sentinel 2 with VIs had the wrong bands'})
def test_seasonal(self):
glcmvars = ['contrast', 'corr', 'var', 'savg', 'prom']
seasmed = sentinel_combined_medians(self.roi, 2018, False, False, True,
True, glcmvars)
# TODO can we generate this in code.
expected_bands = [
u'AEROS_S1', u'BLUE_S1', u'GREEN_S1', u'RED_S1', u'RDED1_S1',
u'RDED2_S1', u'RDED3_S1', u'NIR_S1', u'RDED4_S1', u'VAPOR_S1',
u'CIRRU_S1', u'SWIR1_S1', u'SWIR2_S1', u'QA10_S1', u'QA20_S1',
u'QA60_S1', u'QA60_DECODED_S1', u'DOY_S1', u'QA_HOLLST_S1',
u'QA_FSEV1_S1', u'AEROS_S2', u'BLUE_S2', u'GREEN_S2', u'RED_S2',
u'RDED1_S2', u'RDED2_S2', u'RDED3_S2', u'NIR_S2', u'RDED4_S2',
u'VAPOR_S2', u'CIRRU_S2', u'SWIR1_S2', u'SWIR2_S2', u'QA10_S2',
u'QA20_S2', u'QA60_S2', u'QA60_DECODED_S2', u'DOY_S2',
u'QA_HOLLST_S2', u'QA_FSEV1_S2', u'AEROS_S3', u'BLUE_S3',
u'GREEN_S3', u'RED_S3', u'RDED1_S3', u'RDED2_S3', u'RDED3_S3',
u'NIR_S3', u'RDED4_S3', u'VAPOR_S3', u'CIRRU_S3', u'SWIR1_S3',
u'SWIR2_S3', u'QA10_S3', u'QA20_S3', u'QA60_S3',
u'QA60_DECODED_S3', u'DOY_S3', u'QA_HOLLST_S3', u'QA_FSEV1_S3',
u'AEROS_S1_contrast', u'BLUE_S1_contrast', u'GREEN_S1_contrast',
u'RED_S1_contrast', u'RDED1_S1_contrast', u'RDED2_S1_contrast',
u'RDED3_S1_contrast', u'NIR_S1_contrast', u'RDED4_S1_contrast',
u'VAPOR_S1_contrast', u'CIRRU_S1_contrast', u'SWIR1_S1_contrast',
u'SWIR2_S1_contrast', u'QA10_S1_contrast', u'QA20_S1_contrast',
u'QA60_S1_contrast', u'QA60_DECODED_S1_contrast',
u'DOY_S1_contrast', u'QA_HOLLST_S1_contrast',
u'QA_FSEV1_S1_contrast', u'AEROS_S2_contrast', u'BLUE_S2_contrast',
u'GREEN_S2_contrast', u'RED_S2_contrast', u'RDED1_S2_contrast',
u'RDED2_S2_contrast', u'RDED3_S2_contrast', u'NIR_S2_contrast',
u'RDED4_S2_contrast', u'VAPOR_S2_contrast', u'CIRRU_S2_contrast',
u'SWIR1_S2_contrast', u'SWIR2_S2_contrast', u'QA10_S2_contrast',
u'QA20_S2_contrast', u'QA60_S2_contrast',
u'QA60_DECODED_S2_contrast', u'DOY_S2_contrast',
u'QA_HOLLST_S2_contrast', u'QA_FSEV1_S2_contrast',
u'AEROS_S3_contrast', u'BLUE_S3_contrast', u'GREEN_S3_contrast',
u'RED_S3_contrast', u'RDED1_S3_contrast', u'RDED2_S3_contrast',
u'RDED3_S3_contrast', u'NIR_S3_contrast', u'RDED4_S3_contrast',
u'VAPOR_S3_contrast', u'CIRRU_S3_contrast', u'SWIR1_S3_contrast',
u'SWIR2_S3_contrast', u'QA10_S3_contrast', u'QA20_S3_contrast',
u'QA60_S3_contrast', u'QA60_DECODED_S3_contrast',
u'DOY_S3_contrast', u'QA_HOLLST_S3_contrast',
u'QA_FSEV1_S3_contrast', u'AEROS_S1_corr', u'BLUE_S1_corr',
u'GREEN_S1_corr', u'RED_S1_corr', u'RDED1_S1_corr',
u'RDED2_S1_corr', u'RDED3_S1_corr', u'NIR_S1_corr',
u'RDED4_S1_corr', u'VAPOR_S1_corr', u'CIRRU_S1_corr',
u'SWIR1_S1_corr', u'SWIR2_S1_corr', u'QA10_S1_corr',
u'QA20_S1_corr', u'QA60_S1_corr', u'QA60_DECODED_S1_corr',
u'DOY_S1_corr', u'QA_HOLLST_S1_corr', u'QA_FSEV1_S1_corr',
u'AEROS_S2_corr', u'BLUE_S2_corr', u'GREEN_S2_corr',
u'RED_S2_corr', u'RDED1_S2_corr', u'RDED2_S2_corr',
u'RDED3_S2_corr', u'NIR_S2_corr', u'RDED4_S2_corr',
u'VAPOR_S2_corr', u'CIRRU_S2_corr', u'SWIR1_S2_corr',
u'SWIR2_S2_corr', u'QA10_S2_corr', u'QA20_S2_corr',
u'QA60_S2_corr', u'QA60_DECODED_S2_corr', u'DOY_S2_corr',
u'QA_HOLLST_S2_corr', u'QA_FSEV1_S2_corr', u'AEROS_S3_corr',
u'BLUE_S3_corr', u'GREEN_S3_corr', u'RED_S3_corr',
u'RDED1_S3_corr', u'RDED2_S3_corr', u'RDED3_S3_corr',
u'NIR_S3_corr', u'RDED4_S3_corr', u'VAPOR_S3_corr',
u'CIRRU_S3_corr', u'SWIR1_S3_corr', u'SWIR2_S3_corr',
u'QA10_S3_corr', u'QA20_S3_corr', u'QA60_S3_corr',
u'QA60_DECODED_S3_corr', u'DOY_S3_corr', u'QA_HOLLST_S3_corr',
u'QA_FSEV1_S3_corr', u'AEROS_S1_var', u'BLUE_S1_var',
u'GREEN_S1_var', u'RED_S1_var', u'RDED1_S1_var', u'RDED2_S1_var',
u'RDED3_S1_var', u'NIR_S1_var', u'RDED4_S1_var', u'VAPOR_S1_var',
u'CIRRU_S1_var', u'SWIR1_S1_var', u'SWIR2_S1_var', u'QA10_S1_var',
u'QA20_S1_var', u'QA60_S1_var', u'QA60_DECODED_S1_var',
u'DOY_S1_var', u'QA_HOLLST_S1_var', u'QA_FSEV1_S1_var',
u'AEROS_S2_var', u'BLUE_S2_var', u'GREEN_S2_var', u'RED_S2_var',
u'RDED1_S2_var', u'RDED2_S2_var', u'RDED3_S2_var', u'NIR_S2_var',
u'RDED4_S2_var', u'VAPOR_S2_var', u'CIRRU_S2_var', u'SWIR1_S2_var',
u'SWIR2_S2_var', u'QA10_S2_var', u'QA20_S2_var', u'QA60_S2_var',
u'QA60_DECODED_S2_var', u'DOY_S2_var', u'QA_HOLLST_S2_var',
u'QA_FSEV1_S2_var', u'AEROS_S3_var', u'BLUE_S3_var',
u'GREEN_S3_var', u'RED_S3_var', u'RDED1_S3_var', u'RDED2_S3_var',
u'RDED3_S3_var', u'NIR_S3_var', u'RDED4_S3_var', u'VAPOR_S3_var',
u'CIRRU_S3_var', u'SWIR1_S3_var', u'SWIR2_S3_var', u'QA10_S3_var',
u'QA20_S3_var', u'QA60_S3_var', u'QA60_DECODED_S3_var',
u'DOY_S3_var', u'QA_HOLLST_S3_var', u'QA_FSEV1_S3_var',
u'AEROS_S1_savg', u'BLUE_S1_savg', u'GREEN_S1_savg',
u'RED_S1_savg', u'RDED1_S1_savg', u'RDED2_S1_savg',
u'RDED3_S1_savg', u'NIR_S1_savg', u'RDED4_S1_savg',
u'VAPOR_S1_savg', u'CIRRU_S1_savg', u'SWIR1_S1_savg',
u'SWIR2_S1_savg', u'QA10_S1_savg', u'QA20_S1_savg',
u'QA60_S1_savg', u'QA60_DECODED_S1_savg', u'DOY_S1_savg',
u'QA_HOLLST_S1_savg', u'QA_FSEV1_S1_savg', u'AEROS_S2_savg',
u'BLUE_S2_savg', u'GREEN_S2_savg', u'RED_S2_savg',
u'RDED1_S2_savg', u'RDED2_S2_savg', u'RDED3_S2_savg',
u'NIR_S2_savg', u'RDED4_S2_savg', u'VAPOR_S2_savg',
u'CIRRU_S2_savg', u'SWIR1_S2_savg', u'SWIR2_S2_savg',
u'QA10_S2_savg', u'QA20_S2_savg', u'QA60_S2_savg',
u'QA60_DECODED_S2_savg', u'DOY_S2_savg', u'QA_HOLLST_S2_savg',
u'QA_FSEV1_S2_savg', u'AEROS_S3_savg', u'BLUE_S3_savg',
u'GREEN_S3_savg', u'RED_S3_savg', u'RDED1_S3_savg',
u'RDED2_S3_savg', u'RDED3_S3_savg', u'NIR_S3_savg',
u'RDED4_S3_savg', u'VAPOR_S3_savg', u'CIRRU_S3_savg',
u'SWIR1_S3_savg', u'SWIR2_S3_savg', u'QA10_S3_savg',
u'QA20_S3_savg', u'QA60_S3_savg', u'QA60_DECODED_S3_savg',
u'DOY_S3_savg', u'QA_HOLLST_S3_savg', u'QA_FSEV1_S3_savg',
u'AEROS_S1_prom', u'BLUE_S1_prom', u'GREEN_S1_prom',
u'RED_S1_prom', u'RDED1_S1_prom', u'RDED2_S1_prom',
u'RDED3_S1_prom', u'NIR_S1_prom', u'RDED4_S1_prom',
u'VAPOR_S1_prom', u'CIRRU_S1_prom', u'SWIR1_S1_prom',
u'SWIR2_S1_prom', u'QA10_S1_prom', u'QA20_S1_prom',
u'QA60_S1_prom', u'QA60_DECODED_S1_prom', u'DOY_S1_prom',
u'QA_HOLLST_S1_prom', u'QA_FSEV1_S1_prom', u'AEROS_S2_prom',
u'BLUE_S2_prom', u'GREEN_S2_prom', u'RED_S2_prom',
u'RDED1_S2_prom', u'RDED2_S2_prom', u'RDED3_S2_prom',
u'NIR_S2_prom', u'RDED4_S2_prom', u'VAPOR_S2_prom',
u'CIRRU_S2_prom', u'SWIR1_S2_prom', u'SWIR2_S2_prom',
u'QA10_S2_prom', u'QA20_S2_prom', u'QA60_S2_prom',
u'QA60_DECODED_S2_prom', u'DOY_S2_prom', u'QA_HOLLST_S2_prom',
u'QA_FSEV1_S2_prom', u'AEROS_S3_prom', u'BLUE_S3_prom',
u'GREEN_S3_prom', u'RED_S3_prom', u'RDED1_S3_prom',
u'RDED2_S3_prom', u'RDED3_S3_prom', u'NIR_S3_prom',
u'RDED4_S3_prom', u'VAPOR_S3_prom', u'CIRRU_S3_prom',
u'SWIR1_S3_prom', u'SWIR2_S3_prom', u'QA10_S3_prom',
u'QA20_S3_prom', u'QA60_S3_prom', u'QA60_DECODED_S3_prom',
u'DOY_S3_prom', u'QA_HOLLST_S3_prom', u'QA_FSEV1_S3_prom',
u'VV_S1', u'VH_S1', u'angle_S1', u'VH_RLSPCK_S1', u'VV_RLSPCK_S1',
u'DIFF_S1', u'RATIO_S1', u'DIFF_RLSPCK_S1', u'RATIO_RLSPCK_S1',
u'DOY_S1_1', u'VV_S2', u'VH_S2', u'angle_S2', u'VH_RLSPCK_S2',
u'VV_RLSPCK_S2', u'DIFF_S2', u'RATIO_S2', u'DIFF_RLSPCK_S2',
u'RATIO_RLSPCK_S2', u'DOY_S2_1', u'VV_S3', u'VH_S3', u'angle_S3',
u'VH_RLSPCK_S3', u'VV_RLSPCK_S3', u'DIFF_S3', u'RATIO_S3',
u'DIFF_RLSPCK_S3', u'RATIO_RLSPCK_S3', u'DOY_S3_1',
u'VV_S1_contrast', u'VH_S1_contrast', u'angle_S1_contrast',
u'VH_RLSPCK_S1_contrast', u'VV_RLSPCK_S1_contrast',
u'DIFF_S1_contrast', u'RATIO_S1_contrast',
u'DIFF_RLSPCK_S1_contrast', u'RATIO_RLSPCK_S1_contrast',
u'DOY_S1_contrast_1', u'VV_S2_contrast', u'VH_S2_contrast',
u'angle_S2_contrast', u'VH_RLSPCK_S2_contrast',
u'VV_RLSPCK_S2_contrast', u'DIFF_S2_contrast',
u'RATIO_S2_contrast', u'DIFF_RLSPCK_S2_contrast',
u'RATIO_RLSPCK_S2_contrast', u'DOY_S2_contrast_1',
u'VV_S3_contrast', u'VH_S3_contrast', u'angle_S3_contrast',
u'VH_RLSPCK_S3_contrast', u'VV_RLSPCK_S3_contrast',
u'DIFF_S3_contrast', u'RATIO_S3_contrast',
u'DIFF_RLSPCK_S3_contrast', u'RATIO_RLSPCK_S3_contrast',
u'DOY_S3_contrast_1', u'VV_S1_corr', u'VH_S1_corr',
u'angle_S1_corr', u'VH_RLSPCK_S1_corr', u'VV_RLSPCK_S1_corr',
u'DIFF_S1_corr', u'RATIO_S1_corr', u'DIFF_RLSPCK_S1_corr',
u'RATIO_RLSPCK_S1_corr', u'DOY_S1_corr_1', u'VV_S2_corr',
u'VH_S2_corr', u'angle_S2_corr', u'VH_RLSPCK_S2_corr',
u'VV_RLSPCK_S2_corr', u'DIFF_S2_corr', u'RATIO_S2_corr',
u'DIFF_RLSPCK_S2_corr', u'RATIO_RLSPCK_S2_corr', u'DOY_S2_corr_1',
u'VV_S3_corr', u'VH_S3_corr', u'angle_S3_corr',
u'VH_RLSPCK_S3_corr', u'VV_RLSPCK_S3_corr', u'DIFF_S3_corr',
u'RATIO_S3_corr', u'DIFF_RLSPCK_S3_corr', u'RATIO_RLSPCK_S3_corr',
u'DOY_S3_corr_1', u'VV_S1_var', u'VH_S1_var', u'angle_S1_var',
u'VH_RLSPCK_S1_var', u'VV_RLSPCK_S1_var', u'DIFF_S1_var',
u'RATIO_S1_var', u'DIFF_RLSPCK_S1_var', u'RATIO_RLSPCK_S1_var',
u'DOY_S1_var_1', u'VV_S2_var', u'VH_S2_var', u'angle_S2_var',
u'VH_RLSPCK_S2_var', u'VV_RLSPCK_S2_var', u'DIFF_S2_var',
u'RATIO_S2_var', u'DIFF_RLSPCK_S2_var', u'RATIO_RLSPCK_S2_var',
u'DOY_S2_var_1', u'VV_S3_var', u'VH_S3_var', u'angle_S3_var',
u'VH_RLSPCK_S3_var', u'VV_RLSPCK_S3_var', u'DIFF_S3_var',
u'RATIO_S3_var', u'DIFF_RLSPCK_S3_var', u'RATIO_RLSPCK_S3_var',
u'DOY_S3_var_1', u'VV_S1_savg', u'VH_S1_savg', u'angle_S1_savg',
u'VH_RLSPCK_S1_savg', u'VV_RLSPCK_S1_savg', u'DIFF_S1_savg',
u'RATIO_S1_savg', u'DIFF_RLSPCK_S1_savg', u'RATIO_RLSPCK_S1_savg',
u'DOY_S1_savg_1', u'VV_S2_savg', u'VH_S2_savg', u'angle_S2_savg',
u'VH_RLSPCK_S2_savg', u'VV_RLSPCK_S2_savg', u'DIFF_S2_savg',
u'RATIO_S2_savg', u'DIFF_RLSPCK_S2_savg', u'RATIO_RLSPCK_S2_savg',
u'DOY_S2_savg_1', u'VV_S3_savg', u'VH_S3_savg', u'angle_S3_savg',
u'VH_RLSPCK_S3_savg', u'VV_RLSPCK_S3_savg', u'DIFF_S3_savg',
u'RATIO_S3_savg', u'DIFF_RLSPCK_S3_savg', u'RATIO_RLSPCK_S3_savg',
u'DOY_S3_savg_1', u'VV_S1_prom', u'VH_S1_prom', u'angle_S1_prom',
u'VH_RLSPCK_S1_prom', u'VV_RLSPCK_S1_prom', u'DIFF_S1_prom',
u'RATIO_S1_prom', u'DIFF_RLSPCK_S1_prom', u'RATIO_RLSPCK_S1_prom',
u'DOY_S1_prom_1', u'VV_S2_prom', u'VH_S2_prom', u'angle_S2_prom',
u'VH_RLSPCK_S2_prom', u'VV_RLSPCK_S2_prom', u'DIFF_S2_prom',
u'RATIO_S2_prom', u'DIFF_RLSPCK_S2_prom', u'RATIO_RLSPCK_S2_prom',
u'DOY_S2_prom_1', u'VV_S3_prom', u'VH_S3_prom', u'angle_S3_prom',
u'VH_RLSPCK_S3_prom', u'VV_RLSPCK_S3_prom', u'DIFF_S3_prom',
u'RATIO_S3_prom', u'DIFF_RLSPCK_S3_prom', u'RATIO_RLSPCK_S3_prom',
u'DOY_S3_prom_1'
]
compare_bands(self, seasmed, expected_bands, {
'msg':
'Test image for sentinel_combined_medians had the wrong bands'
})
