I used SNAP 9.0.3.
I am prepared data for “Command Promt” commands using gpt:
cd ‘D:/pysnap/01_read/’
gpt Read -Pfile=D:/S1/S1A_IW_GRDH_1SDV_20220828T160434_20220828T160459_044755_055813_91CF.zip
cd ‘D:/pysnap/02_appOrbit/’
gpt Apply-Orbit-File -Ssource=‘D:/pysnap/01_read/target.dim’ -PcontinueOnFail=false -PorbitType=‘Sentinel Precise (Auto Download)’ -PpolyDegree=3
cd ‘D:/pysnap/03_rmThmNoise/’
gpt ThermalNoiseRemoval -SsourceProduct=‘D:/pysnap/02_appOrbit/target.dim’ -PreIntroduceThermalNoise=false -PremoveThermalNoise=true -PselectedPolarisations=‘VV,VH’
cd ‘D:/pysnap/04_calib/’
gpt Calibration -Ssource=‘D:/pysnap/03_rmThmNoise/target.dim’ -PauxFile=‘Latest Auxiliary File’ -PcreateBetaBand=false -PcreateGammaBand=false -PoutputBetaBand=false -PoutputGammaBand=false -PoutputImageInComplex=false -PoutputImageScaleInDb=false -PoutputSigmaBand=true -PselectedPolarisations=‘VV,VH’
cd ‘D:/pysnap/06_terCor/’
gpt Terrain-Correction -Ssource=‘D:/pysnap/04_calib/target.dim’ -PsourceBands=‘Sigma0_VV,Sigma0_VH’ -PpixelSpacingInMeter=10.0 -PmapProjection=‘WGS84(DD)’ -PalignToStandardGrid=false -PapplyRadiometricNormalization=false -PauxFile=‘Latest Auxiliary File’ -PdemName=‘SRTM 3Sec’ -PdemResamplingMethod=‘BILINEAR_INTERPOLATION’ -PexternalDEMApplyEGM=true -PexternalDEMNoDataValue=0 -PimgResamplingMethod=‘BILINEAR_INTERPOLATION’ -PincidenceAngleForSigma0=‘Use projected local incidence angle from DEM’ -PnodataValueAtSea=true -PoutputComplex=false -PsaveBetaNought=false -PsaveDEM=false -PsaveGammaNought=false -PsaveIncidenceAngleFromEllipsoid=false -PsaveLatLon=false -PsaveLocalIncidenceAngle=false -PsaveProjectedLocalIncidenceAngle=false -PsaveSelectedSourceBand=true -PsaveSigmaNought=false -PstandardGridOriginX=0 -PstandardGridOriginY=0
cd ‘D:/pysnap/07_subset/’
gpt Subset -Ssource=‘D:/pysnap/06_terCor/target.dim’ -PgeoRegion=‘POLYGON ((24.25794 56.683396, 24.265712 56.68632, 24.266578 56.684377, 24.258748 56.681587, 24.25794 56.683396))’ -PsourceBands=‘Sigma0_VV,Sigma0_VH’ -PcopyMetadata=false -PfullSwath=false -PsubSamplingX=1 -PsubSamplingY=1 -PtiePointGrids=‘’
cd ‘D:/pysnap/08_toDb/’
gpt LinearToFromdB -Ssource=‘D:/pysnap/07_subset/target.dim’ -PsourceBands=‘Sigma0_VV,Sigma0_VH’
I have two problems with SNAP.
gpt Write -Ssource=D:/pysnap/08_toDb/target.dim -Pfile=0_S1A_IW_GRDH_1SDV_20220828T160434_20220828T160459_044755_055813_91CF -PformatName=‘BEAM-DIMAP’ -PclearCacheAfterRowWrite=false -PdeleteOutputOnFailure=true -PwriteEntireTileRows=false
When I opened “0_S1A_IW_GRDH_1SDV_20220828T160434_20220828T160459_044755_055813_91CF.dim” file, I can not plot data in SNAP.
The second problem is very long time used for saving to GeoTIFF-BigTIFF.
gpt Write -Ssource=D:/pysnap/08_toDb/target.dim -Pfile=0_S1A_IW_GRDH_1SDV_20220828T160434_20220828T160459_044755_055813_91CF -PformatName=GeoTIFF-BigTIFF -PclearCacheAfterRowWrite=false -PdeleteOutputOnFailure=true -PwriteEntireTileRows=false
But if I opened D:/pysnap/08_toDb/target.dim in SNAP and export to GeoTIFF-BigTIF, it do very fastly.
Why this happened?