- Moved to permanent home on Github.
Building large-scale mosaics of Sentinel-1 data for land cover mapping is difficult, with existing tools still under-development and frequently confusing.
This is a set of tools to aid in the production of large-scale seasonal mosaic products from Sentinel-1 data. The goal is to streamline this processing chain with a set of straightforward command line tools.
This repository contains three command-line based scripts to perform the following tasks:
- Downloading Sentinel-1 data from the Copernicus Open Access Hub for a particular latitude/longitude window, specifying date ranges and ascending/descending orbits. This is based on the Sentinelsat utility.
- Executing SNAP graph processing tool to calibrate, filter and perform terrain-correction on Sentinel-1 GRD images.
- Mosaicking pre-processed Sentinel-1 files into larger GeoTIFF files that are suitable for image classification.
These tools are written in Python for use in Linux. You will need to have first successfully installed:
- sentinelhub: A library for searching and downloading Sentinel-1 products.
- SNAP: Tools for pre-processing data from Sentinel-1.
The modules used in these scripts are all available in Anaconda Python.
Full documentation is hosted at: http://sen1mosaic.readthedocs.io/.
Written and maintained by Samuel Bowers (sam.bowers@ed.ac.uk).