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I've create a derived product from ocean color data at the L2 level. Can I use SeaDAS to process the derived product through the steps to make a L3 SMI product, e.g. L2 file -> L3 bin file with l2bin; L3 bin file to L3 bin file with l3bin, L3 bin file to SMI file using l3mapgen?
Sorry for not specifying. What I mean by "derived product" is a variable that is made by taking a few of the Rrs bands from a seawifs ocean color L2 file, applying the bands to an algorithm to create a new variable that is not one of the variables in the standard ocean color L2 file. Let's call it dales_biomass_variable. I can save dales_biomass_variable as a new variable in the source L2 file (or in a new file). After doing that, I'd like to map is to the global SMI, with mean and st_dev layers. What I want to know is if SeaDAS can do that for dales_biomass_variable.