Dear Mengmeng,

It seems that you are missing the "viirs" part of the SeaDAS install. You can refer to https://seadas.gsfc.nasa.gov/downloads/ to get the instructions for installing it.
Cheers,
François

Hello, The auxiliary data are fixed files downloaded by the command "make auxdata_all". The ancillary files are different, and are downloaded on the fly to get information about wind speed, surface pressure, etc, for the file you want to process. Installing wget through anaconda should work - could ...

Dear Tong,

Can you confirm that the file auxdata/common/no2_climatology.hdf is present ?
Have you downloaded all auxiliary data with "make auxdata_all" ?
Cheers,
François

Dear Jonathan, Polymer treats ice pixels the same way it treats clouds - in that regard, partial ice coverage can be corrected by Polymer, and thick ice blocks should be flagged as clouds, based on a simple cloud mask based on pixel reflectance in the NIR and standard deviation over a block of pixel...

Dear Wesley,

Indeed, the arguments sline, eline, ..., landmask should be arguments to Level1_MSI, not run_atm_corr.
You have to move a closing parenthesis after these arguments.
Cheers,
François

Dear Guillaume,

Not directly - to get the normalized water leaving radiance, you would have to multiply the normalized water reflectance provided by Polymer, by F0 (extraterrestrial solar irradiance at mean Sun-Earth distance) and divide by pi.
Cheers,
François

Dear Muhammad,
I suspect you are using the library xlrd in version 2. Please try to downgrade it to "xlrd<2", and this should fix the issue.
Cheers,
François

Dear Vishnu,

The pixel based uncertainties are currently not available in the Polymer output but this is under development and should be available in a later version - I have currently no estimated date for that release.
Kind regards,
François

Hello Guillaume, I have tried, and could process at least the first one A2017315041000 with Ancillary_ERA5 and polymer v4.14 (indeed, no change in Ancillary_ERA5 since v4.13) and seadas ocssw v2022.0 for L1C generation (a minor change was needed in make_L1C.py to account for changes with respect to ...

Hi, Indeed, running the code on Windows is probably not straightforward because it requires linux-specific tools (gcc, make). My advice would be to use WSL on windows (https://docs.microsoft.com/en-us/windows/wsl/about). It should make it possible to install make and gcc, and then anaconda inside ws...