I am new to Sen2cor and I would like to use Sen2cor functionalities SCENECLASS (for classification) and ATMCORR (for atmospheric correction) with python command line (so that later I use it with Spark).
Where could I find documentation about Sen2cor command line with python ?
Do you have any example or script that could help me start ?
Thank you !
I never used only the SCENECLASS, but you can find the basics codes of sen2cor when you run “L2A_Process -h” in a command window:
Which OS are you using? Windows, Linux,…? Basically you can run sen2cor with the following command in your py-script:
cmd = ‘L2A_Process --resolution 20 C:/S2/S2A_OPER_PRD_M…_20151211T084342’
Thank you for your answer !
I finally used L2A_process, as you said, with the shell on Linux and it compiled correctly !
I have difficulties to understand where I can find the classification (cloud etc) it made.
In which directory is it ?
Do I need to rebuild an image (with each band and gdal for example) to see the cloud map?
Is there a metadata with statistical and geographical information about the classification made?
You are welcome.
If you open the file in SNAP you can find the Scene-Classification (=scl_) files und “Masks” (at the bottom). And metadata of the Quality can be found under “Bands/quality/quality_scene_classification”. About where to find this files in the directory: There I can not help, until now I did not find them myself either.
Concerning the clouds: If you only need this information, then they are already in the original files implemented.
the most easy way to see all the results is opening the product in SNAP as already explained.
You find a correct summary of the classification results (percentage per class) in the product directory at the end of S2A_USER_MTD_SAFL2A_PDMC_ … .xml
The images itself are located on granule level with the scene classification images like S2A_USER_SCL_L2A_TL_SGS__20160512T160424_A004638_T32UQB_20m.jp2 in the IMG_DATA folder and the cloud- and snow confidence images in the folder QI_DATA (files like S2A_USER_CLD_L2A_TL_SGS__20160512T160424_A004638_T32UQB_20m.jp2 and S2A_USER_SNW_L2A_TL_SGS__20160512T160424_A004638_T32UQB_20m.jp2 .
Please visit here. This may help you solving your query. https://docs.python.org/2/using/cmdline.html
Later you can use it with Spark.