Welcome to Sen2Chain documentation!

Sen2Chain is a simple utility written in Python 3 to download and process Sentinel-2 images. The tool can also be used to automate these processes.

It uses EODAG package to find and download data, ESA’s Sen2Cor processor to perform atmospheric, terrain and cirrus correction and OmniCloudMask library to compute cloudmasks.

Main features:

• Downloading of L1C (top of atmosphere) or L2A products from available providers;

• Processing of L1C to L2A (bottom of atmosphere) products;

• Computing of cloud masks and radiometric indices;

• Time series extraction of thoses indices in regions of interest;

• Full automatization of the above features.

All these features can be launched in multiprocessing.

Contributing

Scientific projects :

TOSCA S2-Malaria project, funded by CNES (TOSCA 2017-2020); INTERREG Renovrisk-impact project (2018-2020).

Development and improvements :

Pascal Mouquet, Thomas Germain, Jérémy Commins, Charlotte Wolff, Juliette Miranville, George Ge, Julie Mollies, Emmanuel Peron.

Conceptualization and Coordination :

Vincent Herbreteau, Christophe Révillion

Contents:

• Getting started
  • Prerequisites
  • Setting up the virtual environement
  • EODAG
  • Hubs logins & EODAG configuration file
  • Sen2Chain
  • Sen2Cor Configuration
• Using Sen2Chain
  • Working a single tile : Tile
  • Setting up recurrent routines : Jobs
  • Working on multiple tiles : Library
  • Time Series And Compiled Time Series
• Product User Guide
  • L1C & L2A
  • Cloud Masks
  • Indices
  • Quick Use Case
• Python Reference User Guide
  • Every package

Extra:

• Contribute
• [Git repository]