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Hi Amita,I'm answering in regards to how you would do cloud masking on a rhos_865 band with other SeaDAS GUI tools instead of cloud masking with l2gen. In the Mask Manager tool window click on "f(x)" icon.  Click "Show bands".  At this point you can click and create...

If you are a loading a level-2 file into SeaDAS the Mask Manager panel shouldn't be blank.  Make sure your file is being loaded correctly and being recognized as a level-2 file.  To determine which "Product reader" SeaDAS is actually using on your file, go to File Manager, cl...

The MODIS instruments only contain 2 bands at 250m (645nm and 859nm).  These are not blue/green or IR bands so it rules out the SST and chlor_a algorithms.  You do have options regarding fine tuning atmospheric correction.  You can use l2gen to process the 645 and 859 band products to...

Yes you can improve the resolution of the level2 flag mask "CLDICE", depending of course on which sensor mission you are using.  I'm guessing that you are referring to MODIS which contains 250m, 500m, 1000m bands and can be processed by SeaDAS at any of these resolutions.  Th...

Very likely, yes you can find data there in June at higher resolutions.  I just used the L2 browser https://oceancolor.gsfc.nasa.gov/cgi/browse.pl and did a quick visual scan of the true color (TC) images and found many files for June 2020 matching your region (most of them cloudy but not all)....

Barry, this case study video tutorial illustrates the use of the Collocation Tool in comparing files and using statistics.
https://www.youtube.com/watch?v=5dIwCK7IDXE

More videos can be found here:
https://seadas.gsfc.nasa.gov/tutorials/video_tutorials/

Danny

Oftentimes with SeaDAS there are 2 or more ways of doing something.  Another approach would be to use the Collocation Tool.  This tool will create a new file which contains all the bands of your 2 source files.  If the source files contain differing projections then this tool will sti...

Since your input file is a mapped file then with SeaDAS the best option for geographically cropping a file at the command line would be to use the gpt Subset operator.  See the GPT Cookbook within the SeaDAS 7.5.x GUI (Menu > Help > Cookbooks > GPT Cookbook).  Go to the section on the &quo...

As a note since SeaDAS 7 has a platform dependent gpt executable filename, I'm using "gpt" as an alias for convenience:

For example I have on my mac in the file ~/.profile:
export SEADASROOT=/Users/seadas/SeaDAS_Installations/seadas-7.5.3
alias gpt=$SEADASROOT/bin/gpt.command

Danny

Are you using SeaDAS Version 7.5.3?