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GRS processor for atmospheric correction of high-spatial resolution and multispectral satellite images

Project description

Installation

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Download the LUT files

click on grsdata to download and save in your desired path (your_GRSDATA_PATH)

Installation with conda environment

conda activate "name of your conda env"

Python >= 3.9 is recommended, example:

conda create python=3.10 -n grs_v2
conda activate grs_v2

Then, install python dependencies:

conda install -c conda-forge eoreader cdsapi netCDF4 docopt xmltodict numba

Set the config.yml file:

path:
  grsdata: your_GRSDATA_PATH

Finally, install grs with:

pip install .

Testing

After installation, you can type:

grs -h

You should see something like:

Executable to process Sentinel-2 L1C images for aquatic environment

Usage:
  grs <input_file> [--cams_file file] [-o <ofile>] [--odir <odir>] [--resolution res] [--scale_aot factor]   [--levname <lev>] [--no_clobber] [--allpixels] [--surfwater file] [--dem_file file] [--snap_compliant]
  grs -h | --help
  grs -v | --version

Options:
  -h --help        Show this screen.
  -v --version     Show version.

  <input_file>     Input file to be processed

  --cams_file file     Absolute path of the CAMS file to be used (mandatory)

  -o ofile         Full (absolute or relative) path to output L2 image.
  --odir odir      Ouput directory [default: ./]
  --levname lev    Level naming used for output product [default: L2Agrs]
  --no_clobber     Do not process <input_file> if <output_file> already exists.
  --resolution=res  spatial resolution of the scene pixels
  --allpixels      force to process all pixels whatever they are masked (cloud, vegetation...) or not
  --surfwater file  Absolute path of the surfwater geotiff file to be used
  --dem_file file  Absolute path of the DEM geotiff file (already subset for the S2 tile)
  --scale_aot factor scaling factor applied to CAMS aod550 raster
                    [default: 1]
  --opac_model name  Force the aerosol model (OPAC) to be 'name'
                    (choice: ['ARCT_rh70', 'COAV_rh70', 'DESE_rh70',
                                'MACL_rh70', 'URBA_rh70'])
  --snap_compliant  Export output to netcdf aligned with "beam" for ESA SNAP software

  Example:
      grs /data/satellite/S2/L1C/S2B_MSIL1C_20220731T103629_N0400_R008_T31TFJ_20220731T124834.SAFE --cams_file /data/satellite/S2/cnes/CAMS/2022-07-31-cams-global-atmospheric-composition-forecasts.nc --resolution 60
  For CNES datalake:
      grs /work/datalake/S2-L1C/31TFJ/2023/06/16/S2B_MSIL1C_20230616T103629_N0509_R008_T31TFJ_20230616T111826.SAFE --cams_file /work/datalake/watcal/ECMWF/CAMS/2023/06/16/2023-06-16-cams-global-atmospheric-composition-forecasts.nc --odir /work/datalake/watcal/test --resolution 20 --dem_file /work/datalake/static_aux/MNT/COP-DEM_GLO-30-DGED_S2_tiles/COP-DEM_GLO-30-DGED_31TFJ.tif

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