On demand Sentinel-2 L2A processing with MAJA

OHagolle · October 3, 2018, 8:07pm

Good news ! Until now, there were two options to access to the high quality Sentinel-2 L2A products obtained from MAJA processor :

If you were lucky enough and your region of Interest was among Theia’s ones, you just had to download the data from https://theia.cnes.fr
If you were unlucky, you could download MAJA processor and directly process your data sets on your computer. But it required some computer skills.

Starting from today, there is another possibility: the French collaborative ground segment PEPS allows on demand processing with MAJA. As PEPS is a global mirror, it means that you can process any Sentinel-2 product. The only restriction is that it has to be a single tile scene (acquired after December 2016, or recently reprocessed).

Update: we have also added a script to submit the processing and download the products with a command line interface and no click: GitHub - olivierhagolle/maja_peps: To launch, process and download Sentinel-2 L2A Maja products within PEPS

More info here: http://www.cesbio.ups-tlse.fr/multitemp/?p=14335

Left L2A products from Theia, Right, L2A products from PEPS. Reflectances and Cloud mask are nearly identical.

mengdahl · October 4, 2018, 8:09am

Nice, is there any interest in making the MAJA-processor a plugin of SNAP?

OHagolle · October 4, 2018, 9:36am

We are open to this, but I do not know what it means in terms of amount of work. Anyway, Snap understands somehow MAJA output format.

Fabrizio_Ramoino · October 5, 2018, 1:44pm

Hi Olivier,

As reported by Marcus, if the benefit/effort ratio is convinient, we could evaluate the possibility to import the MAJA-Processor in SNAP.
Concerning the reader for MAJA output, SNAP understands its format because was one of our requirements to the SNAP’s developers.

Best Regards,
Fabrizio

OHagolle · October 9, 2018, 2:50pm

Yes sure, and thanks for that !
Olivier

OHagolle · October 28, 2019, 3:44pm

A new version of the on-demand processing of Sentinel-2 L2A products with MAJA processor has been implemented within PEPS. It should be now much more efficient when used to process time series.

It relies on a python interface, which is very simple:
Here is an example to obtain the nice images below (over Sebastopol, Crimea):

Get an account on PEPS
Get FULL_MAJA on github
Submit processing with :
python full_maja_process.py -a peps.txt -t 36TWQ -o 64 -d 2019-03-01 -f 2019-09-01 -g 36TWQ_2019-03-01.log
Wait
Download results with
python full_maja_download.py -a peps.txt -g 36TWQ_2019-03-01.log -w /path/to/36TWQ

For details, please read our new post: