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@davidh-ssec @mraspaud and @pnuu :
Any comments on where we could/should add a landuse or land-sea mask dataset, and its handling?
It could used for other purposes than atmospherci correction over land and sea.
We could have the data on zenodo, and let the application (satpy, pycoast, pyspectral) download it and read it?
There is no land-sea mask in Pyspectral, and no way yet to apply a land/sea dependent correction in Satpy using Pyspectral.
How much of this should be handled/supported in Pyspectral can be debated, and needs to be agreed.
But, that there is a need to different correction over land and sea is clear!
Perhaps Pycoast can be of use?
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