Welcome to sen2mosaic’s documentation!

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This is a set of tools to aid in the production of large-scale cloud-free seasonal mosaic products from Sentinel-2 data.

Building cloud-free mosaics of Sentinel-2 data for land cover mapping is difficult, with existing tools still under-development and hard to use. The goal of these tools to streamline this processing chain with a set of straightforward command line tools.

This repository contains four command-line based scripts to perform the following tasks:

  • Downloading Sentinel-2 data from the Copernicus Open Access Hub for a particular tile, specifying date ranges and degrees of cloud cover. This is based on the Sentinelsat utility.
  • Executing the sen2cor tool to perform atmospheric correction, and performing simple improvements to its cloud mask.
  • Mosaicking cloud-free Sentinel-2 pixels from .SAFE files into larger GeoTIFF files that are suitable for image classification.

How do I get set up?

These tools are written in Python for use in Linux. You will need to have first successfully installed the following:

  • Sentinelhub: A library for searching and downloading Sentinel-2 products.
  • Sen2cor: Atmospheric correction and cloud masking for Sentinel-2.

The sen2cor tool is built around the Anaconda distribution of Python. The modules used in these scripts are all available in Anaconda Python.

Who do I talk to?

Written and maintained by Samuel Bowers (sam.bowers@ed.ac.uk).

See also

We have also developed a very similar tool to produce mosaics of Sentinel-1 C-band radar backscatter data. See sen1mosaic.

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