This Software is created for the automatic atmospheric correction of Sentinel 2 Data using Sen2Cor algorithm given freely by E.S.A.
1.Open terminal (Ctrl Alt T)
2.Sen2Cor 02.09.00 installation:
$wget http://step.esa.int/thirdparties/sen2cor/2.9.0/Sen2Cor-02.09.00-Linux64.run
$sh Sen2Cor-02.09.00-Linux64.run
Installation successful!
then try
/home/$USER/Sen2Cor-02.09.00-Linux64/bin/L2A_Process --helpand the software should output
usage: L2A_Process.py [-h] [--mode MODE] [--resolution {10,20,60}]
[--datastrip DATASTRIP] [--tile TILE]
[--output_dir OUTPUT_DIR] [--work_dir WORK_DIR]
[--img_database_dir IMG_DATABASE_DIR]
[--res_database_dir RES_DATABASE_DIR]
[--processing_centre PROCESSING_CENTRE]
[--archiving_centre ARCHIVING_CENTRE]
[--processing_baseline PROCESSING_BASELINE] [--raw]
[--tif] [--sc_only] [--cr_only] [--debug]
[--GIP_L2A GIP_L2A] [--GIP_L2A_SC GIP_L2A_SC]
[--GIP_L2A_AC GIP_L2A_AC] [--GIP_L2A_PB GIP_L2A_PB]
input_dir
Sen2Cor 2.9.0, created: 2020.11.30, supporting Level-1C product version 14.2 -
14.6.
positional arguments:
input_dir Directory of Level-1C input
optional arguments:
-h, --help show this help message and exit
--mode MODE Mode: generate_datastrip, process_tile
--resolution {10,20,60}
Target resolution, can be 10, 20 or 60m. If omitted,
only 20 and 10m resolutions will be processed
--datastrip DATASTRIP
Datastrip folder
--tile TILE Tile folder
--output_dir OUTPUT_DIR
Output directory
--work_dir WORK_DIR Work directory
--img_database_dir IMG_DATABASE_DIR
Database directory for L1C input images
--res_database_dir RES_DATABASE_DIR
Database directory for results and temporary products
--processing_centre PROCESSING_CENTRE
Processing centre as regex: ^[A-Z_]{4}$, e.g "SGS_"
--archiving_centre ARCHIVING_CENTRE
Archiving centre as regex: ^[A-Z_]{4}$, e.g. "SGS_"
--processing_baseline PROCESSING_BASELINE
Processing baseline in the format: "dd.dd", where
d=[0:9]
--raw Export raw images in rawl format with ENVI hdr
--tif Export raw images in TIFF format instead of JPEG-2000
--sc_only Performs only the scene classification at 60 or 20m
resolution
--cr_only Performs only the creation of the L2A product tree, no
processing
--debug Performs in debug mode
--GIP_L2A GIP_L2A Select the user GIPP
--GIP_L2A_SC GIP_L2A_SC
Select the scene classification GIPP
--GIP_L2A_AC GIP_L2A_AC
Select the atmospheric correction GIPP
--GIP_L2A_PB GIP_L2A_PB
Select the processing baseline GIPPTo get help run:
python3 Auto-S2C.py -hProvide a search path with -p option as in bellow
python3 Auto-S2C.py -p /home/$USER/Run with resolution option (-r): all
python3 Auto-S2C.pyRun with resolution option (-r): 10 meters
python3 Auto-S2C.py -r 10Run with resolution option (-r): 20 meters
python3 Auto-S2C.py -r 20Run with resolution option (-r): 60 meters
python3 Auto-S2C.py -r 60- In order for the script to work make sure that paths to Sen2Cor binaries (Linux: lines 81 & 87, Window: lines 65 & 71) are correct.