RUS-Copernicus is providing a half-day hands-on training session about the detection and mapping of inland water areas over areas with man-made structures (a difficult case in terms of classification) using Sentinel-1 products with the SNAP machine learning capabilities and Open Street Map as auxiliary data.
With their night and day all weather imaging capabilities, SAR imagers onboard the Sentinel-1 missions (A and B) offer the input material to produce high resolution water masks over wide areas. In this training session, we will introduce the main theoretical concepts for water mapping from C-band SAR imagery. We will then show how the Sentinel-1 GRD products can be exploited with the SNAP toolbox to obtain a high resolution water mask in raster, then vector masks. Open Street Map layers will be selected and imported into SNAP to support the machine learning classification stage. At last, the consolidation of the mask (merging polygons and clean-up) will be done with QGIS.
Participants will learn how to access Sentinel-1 data, be familiar with the RUS environment and discover very interesting functionalities of the freely accessible SNAP toolbox.
This training session is designed for a beginner audience, wishing to discover Sentinel-1 data download and processing. Attendance is free but limited to 25 participants on a first-come first-served basis
For more information and registration, visit our training website.