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Hello everyone, Following the instructions on the tutorial to install seaDAS on ubuntu (https://seadas.gsfc.nasa.gov/tutorials/installation_tutorial/), the creation of the java repository is not up to date, as it requires additional steps (manual installation) due to conflict with the licenses. I at...

Thank you so much. I will read carefully into it :)

Dear xuanyang02, I applied this algorithm in my thesis work. I would like to cite you for using this algorithm, so I would appreciate if you could tell me how to cite you properly in my Master thesis. Thank you so much :)

Thank you so much for your input! I look forward to hearing some more explanations regarding this issue. Thank you again.

Best Regards

Thank you so much because this is a doubt we had for some time! If I may ask you one more question: what about the PFT (phytoplankton functional type) products? Does this mean what you said is taken into consideration for deriving the PFT products? And also, I should interpret the chl a product does...

Thank you so much! This is now a lot more enlightening to me. But I still have a doubt: on my data whenever I have high values of PIC, usually they are associated with low values of chlorophyll a. I see that in different regions of the oceans, namely Azores and Cape Verde, for example. So, shouldn't...

Hello! I'm writting to let you know that it worked!

Thank you so much for your help :)

I used the expression you gave and I got a full white image with NaN pixels. Should I do chlor_a < 0 instead of chlor_a > 0?

Hii! Thank you for your answer.

Actually, I was using the Math Band tool to put the files together. I tried with the Collocation Tool and it gave me a java error...

Is it possible to use the example expression for the Math Band Tool without using the Collocation Tool?

Hello everyone, I am trying to get a monthly climate mean using 20 years of, for example, January month. My problem is that out of the 20 imagery I have 15 that have a lot of clouds. When I averaged them in SeaDAS I got negative values almost everywhere which means the cloud pixels are being taken i...