Is there a way to mask out non-ocean chlorophyll values (e.g., from lakes) in global SeaWiFS products using SeaDAS or python?
I would like to perform statistical analyzes on ocean-only chlorophyll values from global SeaWiFS mapped L3 climatological products.
Cheers, Nicolas
Note: low spatial resolution (~>1 rm MLAC) and flags: straightligt & maxiteration
SeanBailey on oceancolor forum provided the answer:
"Yes, it is possible with SeaDAS. You would need to generate a mask using a combination of the products generated from the "Coastline, Land and Water Masks" and "Bathymetry and Elevation" tools, with some additional tweaks to handle the larger inland water bodies (US Great Lakes and Caspian Sea). The attached mask definition file will work, if you're using the 9km Standard Mapped Products. You'll first have to generate the bathymetry and landmask products, then simply import the attached mask into the "Mask Manager". If the mask isn't to your liking, feel free to modify it :grin:
The mask can then be used in the analysis and statistics tools. Or you can generate a band from the mask, and export it to a file (png, geotiff, etc) to be read in as a mask for use in a python script.
Sean"
Thank you Sean!
As python supports FERRET, there is a possibility for use the ETOPO file which highest resolution and create a mask of land values. The SeaWifs file available in NetCDF file can be used for this purpose. Then ferret commands for checking the land values can be used and the chla values can be eliminated.
uday
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