Hello,
I'm trying to generate anomaly maps for Aerosol Distribution. The package comes with angstrom_, aot_869, Rrs_412, Rrs_443, Rrs_469, Rrs_488, Rrs_531, Rrs_547, Rrs_555, Rrs_645, Rrs_667, and Rrs_678. I'm trying to figure out which band best represents terrestrial dust and particulate matter. I am trying to look specifically at the dust coming off of Africa.
Also, I am wondering the difference between the two algorithms for chlorophyll concentration - OCx vs OCI. Is either one better for measuring productivity?
Any help is appreciated.
Thank you!
Bianca :grin:
Which algorithm?
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OB.DAAC - SeanBailey
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Which algorithm?
Bianca,
None of them. Well, aot might be useful, but it's just an estimate of the aerosol total optical thickness - but only to a point. Dust tends to get flagged as clouds in our processing and would be excluded. If you're looking for an atmosphere product, you should look at the Atmosphere discipline :wink:
Either chl product is fine to use - although we'll likely be dropping the chl_ocx product with the next reprocessing. The chl_oci algorithm *is* chl_ocx for most of the dynamic range. It's only low chlorophylls where the algorithm switches to the Hu et al., approach.
Sean
None of them. Well, aot might be useful, but it's just an estimate of the aerosol total optical thickness - but only to a point. Dust tends to get flagged as clouds in our processing and would be excluded. If you're looking for an atmosphere product, you should look at the Atmosphere discipline :wink:
Either chl product is fine to use - although we'll likely be dropping the chl_ocx product with the next reprocessing. The chl_oci algorithm *is* chl_ocx for most of the dynamic range. It's only low chlorophylls where the algorithm switches to the Hu et al., approach.
Sean