Hello i want to know if i can use dos 1 algoritm in scp qgis for attmosferic correction of sentinel 1level 1c instead of sen2cor in snap
Thanks
The semi-automatic classification plugin (SCP) for QGIS is only for radiometric calibration of your data, to create surface reflectance.
It doesn’t perform a proper atmospheric correction comparable to sen2cor, icor or atcor. Although Dark Object Subtraction (DOS) is called like this in the manual, it doesn’t consider the atmosphere’s condition at the time of image acquisition: https://semiautomaticclassificationmanual-v5.readthedocs.io/de/latest/remote_sensing.html#dos1-correction
Have a look at the answers here: Which is best: Landsat 7 and 8 Atmospheric Correction DOS (Dark Object Subtraction) Vs. FLAASH
thanks i made atmosphérique correction by sen2COR THE RESULT IS BETTER
hello again can i find a tools on snap to do thresholding automatic for binarisation of ndwi raster
like otsu method ex
no, Otsu thresholding is currently not integrated in SNAP. You can do it in Python however:
thanks for information
Hello, I would like to make the atmospheric correction of my Sentinel 3 data on SNAP the result has not been convincing. So I would like to make the atmospheric correction using SEN2COR software how to help me please
Sen2Cor only works with Sentinel-2 data. You could try Polymer: HYGEOS - polymer or iCor Atmospheric correction software for Sentinel-3 and compare results.