Documentation for SMFM sen1mosaic¶
This is a set of tools to aid in the production of large-scale seasonal mosaic products from Sentinel-1 data.
Building large-scale mosaics of Sentinel-1 data for land cover mapping is more difficult than with more commonly-used optical data (e.g. Landsat), with existing tools still under-development and hard to use. The goal of this repository 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.
For more information, refer to the ‘Satellite Monitoring for Forest Management’ webpage..
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 products.
- SNAP: Pre-processing tools for Sentinel-1 data.
The modules used in these scripts are all available in Anaconda Python.
- 1. Setup instructions
- 2. Command line tools
- 3. Worked example on the command line
- 4. Using sen1mosaic in Python