Batch processing of Ocean Color images using SeaDAS using default algorithm from SeaDAS to reproduce Ocean Color Rrs processing and compute additional products.
Only OLCI and MSI for now. Input files must be in the format downloaded with getOC.py Need to be run through a SeaDAS Virtual Env and ocssw_runner: /home/username/ocssw/bin/ocssw_runner --ocsswroot /home/username/ocssw /home/username/.conda/envs/SeaDAS/bin/python3.9 SeaDASbatchESA_L2.py
With:
- path to image processor runner script: /home/username/ocssw/bin/ocssw_runner
- path to ocssw root directory: --ocsswroot /home/username/ocssw
- path to python in virtual environment: /home/username/.conda/envs/SeaDAS/bin/python3.9
- name of python script to run: SeaDASbatchESA_L2.py
-
--pathpath to root directory -
--projectproject name: working directory containing images (subdirectory of root directory) -
-iinstrumentMSIOLCI
-
--suitesuiteOCSST[not tested]
-
--prodlist of product to compute specific to each instrument -
-pparallel computing
Specify number of process:- 0 = disable parallel processing
- -1 = any number of worker available
- 12 = 12 workers
-f force process
- overwrite files with same name
-q quiet
- Quiet please !
/home/username/ocssw/bin/ocssw_runner --ocsswroot /home/username/ocssw /home/username/.conda/envs/SeaDAS/bin/python3.9 SeaDASbatchESA_L2.py --path /home/username/SeaDASbatch --project test01 -i MSI -p 12
/home/username/ocssw/bin/ocssw_runner --ocsswroot /home/username/ocssw /home/username/.conda/envs/SeaDAS/bin/python3.9 SeaDASbatchESA_L2.py --path /home/username/SeaDASbatch --project test01 -i OLCI -p 12
/home/username/ocssw/bin/ocssw_runner --ocsswroot /home/username/ocssw /home/username/.conda/envs/SeaDAS/bin/python3.9 SeaDASbatchESA_L2.py --path /home/username/SeaDASbatch --project test01 -i MSI -p 0 -f
/home/username/ocssw/bin/ocssw_runner --ocsswroot /home/username/ocssw /home/username/.conda/envs/SeaDAS/bin/python3.9 SeaDASbatchESA_L2.py --path /home/username/SeaDASbatch --project test01 -i MSI -p -1 -f