Hi,
How do I retrive Turbidity and clorophyll using Sentinel 2A - L2A?
Thanks in advance
Priti
I’m not aware of a tool using S2 L2A for water retrieval.
The L2A contain land surface reflectances and not water leaving reflectances. Therefore, it is not good to use them.
That’s also the reason processors like C2RCC start from L1C. Often there is a close relation between AC and water retrieval.
Other possibilities than C2RCC are Acolite and Polymer:
Maybe @abruescas can correct me or add additional information.
1 Like
Thanks Mr. Peters for the feedback!
Could you please guide me?
If I have to retrieve Turbidity and clorophyll from water. Which process should I follow?
Should I work on L1C Or L2A? and what will be the further process?
You should use L1C as input. Afterwards you need to use one of those processors I have mentioned.
Which one I can’t say. The quality of the results can be different depending on your region.
I can’t provide a general guide. The usage and configuration of each is different.
Personally, I would say use the C2RCC, because I’m involved in the development.
I would suggest that you look into the respective help pages and try which one works for you best.
You can find also videos on youtube about the C2RCC: c2rcc - YouTube
Also, for Acolite, there are some available: acolite sentinel - YouTube
Thank you for the revert!
Hi, Mr.Peters
On commerciel basis… I have a requirement to process L1C data using C2RCC? Can you do this? It will be commercial.
Hi Priti,
sure, you can use C2RCC for creating commercial products.
But it would be nice if you give the C2RCC Team some credits. For example, that you say somewhere that you have used C2RCC. You can cite it like this:
ESA SNAP C2RCC Processor v{USED-VERSION}, https://c2rcc.org
Replace {USED-VERSION} by the latest version you have used for your processing.
Thank you for the revert!!
I will find speed will increase four fold if you have 64 GB of RAM.
Hello,
There was a problem when processing Sentinel-2 images with the C2RCC water processor.
After S2 resampling, there are no stripes in the image (screenshot 1). After processing by the C2RCС processor, stripes appear (screenshot 2). What could be the problem? SNAP version 10.
C2RCC is very sensitiv to variations in the water. The signal from the water is low, small changes can have a high impact. The stripes originate from the detector stripes. The S2 Resampler considers them but cannot remove them.
If you look closely, you can see the stripes in your original image. Often, they are more significant in band B8A. When you check this, you will probably see the stripes more clearly.
How dominant the stripes are is also depending on the applied colour stretching.
The stripes can even be seen in the very first S2 image.
Also for C2RCC this is an issue since a long time:
- C2RCC results straight line - Optical Toolbox - STEP Forum (esa.int)
- How to get a chlorophyll-a product without sunglint? - Optical Toolbox - STEP Forum (esa.int)
Marco from EOMasters - Mastering Earth Observation - 
1 Like
Dear Abruescas,
How can I estimate a value for iop_btot (and iop_apig in chl)? Should I take the mean of the band created?