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The OCSSW system has a separate installer called "install_ocssw". I don't think uninstalling the GUI will affect the existing OCSSW install. The installer is a python script that can be run from the command line. There are detailed instructions at https://seadas.gsfc.nasa.gov/downloads/ un...

I think V2022.0 uses the new https://oceancolor.gsfc.nasa.gov/docs/f ... onvention/, so is not a drop-in replacement for existing workflows.

The R script "works for me" using <<files <- "https://oceandata.sci.gsfc.nasa.gov (/cgi/getfile/L2020366.L3m_DAY_CYAN_CI_cyano_CYAN_CONUS_300m_1_1.tif)">>. You can generate a list of URL's using the file search page: [url]https://oceandata.sci.gsfc.nasa.gov (/api/file_search/)[/u...

You appear to be using Python 3.5. https://seadas.gsfc.nasa.gov/requirements/ states that you need Python 3.6 or above. Note that you may also need to install a suitable python3-requests package. When asking for help it is good practice to mention your OS version because others using the same OS ver...

SeaDAS has built-in support for missing value handling (see the properties for your new band). NaN's are commonly used with floating point data, but if your generated band uses integer values, your only option is to set a missing value in the band properties. If you use NetCDF4-CF format, missing va...

If you need a prompt response you should do everything possible to make it easy for others to understand and reproduce your problem. This means providing your OS('s), SeaDAS, and OCSSW l2gen versions. Please post your client/server configuration files. Have you verified that the linux installation p...

If you need a prompt response you should do everything possible to make it easy for others to understand and reproduce your problem. This means providing your OS('s), SeaDAS, and OCSSW l2gen versions, the VIIRS L1 filename, and the details of your level-2 processing (ancillary data, l2_prod list, ou...

I attempted to utilize seaDAS at first, but because of my laptop's window operating system, I was unable to use the extraction feature. Thanks for the additional detail. I think pixel extraction should work in the SeaDAS GUI, but a laptop may not have the capacity (mainly RAM) to process many files...

I had no problem processing the same granule to generate GEO and L1B files, download ancillary files, and then L2_LAC files for "l2prod=chlor_a", but got exit code 139 for "l2prod=chlor_a,sst_triple". The "sst_triple" algorithm is for VIIRS, and only works for night tim...

Glad you found success. I assume you have previous experience with R. For the benefit of the next person with the same question, it might be helpful to provide a brief outline of your workflow.