SNAP Tutorial


Dear all,

Could anyone here share me a tutorial how to process Sentinel-2 data ?

I prefer to have a written tutorial , not video??



The general way of processing is independent of the sensor.
If you want to do bulk processing on the command line you can have a look at these two pages:

If you want to do processing in the desktop application, I only know the videos.


Sentinel-2 data is nearly ready to use, my question is what you undestand of ‘processing’ and what you want to do with the images.


Dear Jigme Tenzin,

In the frame of the ESA Land Training Course 2018, I have generated a tutorial in PDF to calculate water change (based on NDWI2) and forest change (based on NBR) detection using Sentinel-2 data.
In this document is explained how to open a S2 product, how apply BandMath and how to generate a Graph.

The document for the moment is freely available at but I will upload soon on STEP Tutorial section.

Best Regards,


Thank you very much.


Basically I am trying to apply radiometric and geometric correction to Sentinel -2 L1C product using SNAP. I am not sure do I really need to calibrate radiometrically like we do in LandSAT ?

Since my study area is a mountainous region, so we need to apply topographical correction using DEM? I am confused how do we validate the correction is applied ?

From your statement, what I understood is that we dont need to apply those sort of corrections?


Thank you very much for sharing the documents.

Do we need to apply radiometric ( radiometric calibration and atmospheric correction) and geometric for Sentinel- 2 to be used for LULC mapping?

Kindly enlighten on these two correction , please?


If available, you can download L2A products which are already radiometrically corrected.

sen2cor uses a DEM to reduce topographically induced radiometric distortions. The geometric accuracy of Sentinel-2 is quite fine, no orthorectification is usually needed.
Here you can read about the geometric quality requirements:

You can also have a look at the chapter “4 Anomalies” in the S2 Data quality report:
It lists which orbits and products are affected by geolocation errors.


Dear Fabrizio_Ramoino,
Your tutorial in PDF format is of great valuable. Thank you very much!
I hope more PDF tutorials and algorithm ATBDs can share in this forum.


Big thanks and looking forward to interact more.