Sentinel-2 L2A products available on Copernicus Open Hub

Hi,

Is there any documentation on the product specifications? I downloaded sample datasets from the Open Access Hub and wanted to know what do the acronyms AOT, TCI, WVP in the file names mean?

_AOT_10m.jp2
_TCI_10m.jp2
_WVP_10m.jp2

_VIS_20m.jp2
_SCL_20m.jp2

Thanks

Dear User,

You can find useful information (e.g. Aerosol Optical Thickness (AOT), Water Vapour (WVP), etc…) in the Sentinel-2 Level 2A Product Definition (available at http://step.esa.int/main/third-party-plugins-2/sen2cor/).

Best Regards,
Fabrizio

Thank you for this update! Will the coverage be expanding over the next months so that all areas will have L2A products available?

Cheers,
Dulci

Thanks @Fabrizio_Ramoino for this great update, please by whit algorithm these images are corrected Sen2cor or Maccs?

Thank you

Hi,
That’s Sen2cor, not MACCS (or MAJA according to its new name). But, as you are asking :

  • MAJA products are available here : https://theia.cnes.fr. France, Spain, Tunisia, Morocco, Belgium, Madagascar, Senegal, Mali-Burkina transect, from December 2015 to yesterday. Other zones to be added soon (Portugal, parts of China and Niger…)
  • If your region of interest is not among the ones processed by Theia, you might also download MAJA (only for non commercial use) : http://www.cesbio.ups-tlse.fr/multitemp/?p=9829.

Thank you @ Fabrizio_Ramoino

Thank you very much for your quick response @OHagolle ,
Yes fortunately my study area is located in the plains of Tadla in Morocco, so I will have the images correct with two algorithms Sen2cor and MACCS and this is very important, thanks to you and thanks to the sentinel team and good continuation.:slight_smile:

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Good afternoon Fabrizio, at the moment at the SciHub I’ve seen the S2-A L2A datasets have been processed from April 2017. Do you have any calendar when the previous datasets since September 2015 will be available?

Kind Regards
Juan

I would like to ask if Level 2A product available on sci-hub is the same product as the result of processing Level 1C product with Sen2Cor in SNAP. I just would like to know if there is some meaning for me to process Level 1C with Sen2Cor (e.g. more output products which are not included in scihub product or if there is more options how to control processing) or there is no reason to do that now with Level 2A available on scihub. I am new to these products so I would like to know if there is reason for me to learn about Sen2cor or I could just download Level 2A . Thanks

Dear User,

The Sentinel-2 L2A product available on SciHub have been processed by Sen2Cor with the default parameters.
In addition, please be informed that you will find on SciHub only S2 L2A data acquired since April 2017 over Europe, therefore you will need to process L1C data using Sen2Cor only if your area of interest is outside Europe or if you are interested in S2 data acquired before April 2017.

Best Regards,
Fabrizio

Dear Juan,

Please be informed that for the moment it is not foreseen the processing of Sentinel-2 data acquired before April 2017.

Best Regards,
Fabrizio

Hi Juan and Zubro
CNES is also distributing high quality L2A data over Spain and most France neighbouring countries, processed with CNES/CESBIO/DLR processor MAJA. Here are the available zones so far : https://theia.cnes.fr/atdistrib/rocket/#/sites

DLR will also soon provide Germany.

The data from December 2016 are available at https://theia.cnes.fr
We intend to process data from December 2015, which will be available in a few weeks, it is already the case for the Ebro basin and the Pyreneos.

Best regards
Olivier

Hello!
I downloaded an image of the Sentinel 2A satellite, on a level 2A. Should this image be corrected atmospherically to calculate the NDVI?
Thank you very much for the help

Hi @Raquel27,

No need. Level 2A images are already corrected for atmospheric effects. You can calculate NDVI directly.

OK thank you very much

Dear Fabrizio,
I’ve downloaded a couple of S2A images for an AOI in Europe. There are a few dense clouds over the terrain. The Cloud mask from SNAP’s Mask Manager does not identify all these clouds (see image). Do you recommend to manually digitise mask areas over these clouds and mask them ? Thanks.

Incidentally, one of the downloaded S2A images pertains to January 2017.

Hi,
it seems that you are working with L1C products. If you are interested in a more accurate cloud mask, perhaps you could try to download or generate the Level 2 product, which includes an scene classification. https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a/algorithm

In the other thread I suggested IdePix

Thanks! I’ve used Sen2Cor in SNAP to convert it to L2A.

A post was split to a new topic: Comparison of L2A product from SciHub and Sen2Cor result