Auto-Sen2Cor

This Software is created for the automatic atmospheric correction of Sentinel 2 Data using Sen2Cor algorithm given freely by E.S.A.

Sen2Cor 02.09.00 installation on Linux

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 --help

and 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 GIPP

Running the script

To get help run:

python3 Auto-S2C.py -h

Provide 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.py

Run with resolution option (-r): 10 meters

python3 Auto-S2C.py -r 10

Run with resolution option (-r): 20 meters

python3 Auto-S2C.py -r 20

Run with resolution option (-r): 60 meters

python3 Auto-S2C.py -r 60

Notes

In order for the script to work make sure that paths to Sen2Cor binaries (Linux: lines 81 & 87, Window: lines 65 & 71) are correct.

alekfal/Auto-Sen2Cor

Auto-Sen2Cor

Sen2Cor 02.09.00 installation on Linux

Running the script

Notes