How to run Range Doppler Terrain Correction from python?

Microwave Toolbox
1

Hey!

I’m developping a program which suppose to perform Range Doppler Terrain correction on a given S1 product. For this purpose I’m using Python as a language of choice and prepared snappy module from SNAP.

The problem I faced is that I can’t find any reasonable example or manual which describes how to call SNAP Range Doppler Terrain correction operator from python code.

Could someone give me a piece of advice?

2

please check this tutorial (TC starting at around 1:08:10): Processing Copernicus data in Python using snappy - PY01

3

Hello,
I am processing sentinel-1 image using esa_snappy. I performed Terrain correction using snappy and the output is only sigma Selected source band. Now I want to get Latitude&Longitude band and also local incidence angle band as output after Terrain correction.
I tried this but output is only selected sigma band:

def TerrainCorrection(speckle_output_path,output_directory):
polarization=‘VV’
speckle=ProductIO.readProduct(speckle_output_path +“.dim”)
print(‘Speckle path:’,speckle_output_path+“.dim”)
parameters = HashMap()
parameters.put(‘demResamplingMethod’, ‘NEAREST_NEIGHBOUR’)
parameters.put(‘imgResamplingMethod’, ‘NEAREST_NEIGHBOUR’)
parameters.put(‘demName’, ‘SRTM 3Sec’)
parameters.put(‘pixelSpacingInMeter’, 10.0)
parameters.put(‘sourceBands’, ‘Sigma0_’ + polarization)
parameters.put(‘Latitude&Longitude’, ‘Latitude and Longitude’)
parameters.put(‘Local incidence angle’, ‘Local incidence angle’)
polarisation = “VV”

TrCorr_filename = f"{date}_TerrrainCorrected_{polarization}"
TrCorr_outputPath = os.path.join(output_directory, TrCorr_filename)
#os.makedirs(TrCorr_folder, exist_ok=True)  # Create the directory if it doesn't exist
TrCorr_filename_DB = f"{date}_TerrrainCorrected_{polarization}_db"
TrCorr_outputPath_DB = os.path.join(output_directory, TrCorr_filename_DB)
# Full path for subset output
#TrCorr_folder_output_path = os.path.join(TrCorr_folder, TrCorr_filename)
#terrain = output + date + "_corrected_" + polarization 
target_2 = GPF.createProduct("Terrain-Correction", parameters, speckle)
print('Target 2:',target_2)
lineartodb = GPF.createProduct('linearToFromdB', parameters, target_2)
print('lineartoDB:',lineartodb)
ProductIO.writeProduct(target_2, TrCorr_outputPath, 'GeoTIFF')
ProductIO.writeProduct(lineartodb, TrCorr_outputPath_DB, 'GeoTIFF')
print(f'Speckle filetred images are saved in {TrCorr_outputPath}')
return TrCorr_outputPath,TrCorr_outputPath_DB

Any support in this regard is appreciated.