How can I process the atmospheric correction in sentinel-2 images using SNAP for under water vegetation (marine and coastal ecosystem)? (from TOA to the water colomne).
Hello,
It is a study of geographical distribution of seagrass in my region (SW of Madagascar). As it is about underwater vegetation, before classifying the image S2, I have to make (i) an atmospheric correction but apart from the atmosphere, before reaching the meadows (seagrass), the light must (ii) cross the sea-water and cause a loss of information. What I need is a is a protocol or guideline for S2 image pre-processing for this kind of study. Note that I am a beginner in the domain of remote sensin.
Thank you for your answers
May be of use; Best Wishes
Application of Sentinel-2 Multispectral Data for Habitat ... - MDPI
www.mdpi.com › pdf
PDFby F Immordino - 2019
Hi Fidèle,
You should use an atmospheric correction developed for ocean colour applications. Using SNAP, you have two options:
1. The built-in C2RCC plugin (SNAP/Optical/Temathic water processing/C2RCC processors/*).
2. iCOR. Needs to be downloaded a part from SNAP and then installed as external plugin. (https://blog.vito.be/remotesensing/icor_available)
If you want to work in coastal shallow areas keep in mind the effects of bottom reflectance, turbidity or depth among others. Atmospheric correction processors may not be accounting for them.
Good luck,
Regards.
Thank you Jesús Soriano-González for the answer and link.
Regards
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