RUS Copernicus will provide a half-day hands-on training session where participants will access from their own laptop a Virtual Machine to exploit the open source software and toolboxes available in the RUS environment to download and process Sentinel-3 data.
Please note that the RUS Copernicus Virtual Machines used for this training course can only be provided to citizens/residents of the Copernicus programme member countries (EU plus Iceland and Norway).
The Sentinel-3 (S3) constellation is composed of two identical satellites: Sentinel-3A (S3A) and Sentinel-3B (S3B). The mission objectives are to quantify large-scale surface (both ocean and land) colour and temperature phenomena as well as to measure accurately the oceans and inland water bodies elevation. To fulfil these ambitious goals, each satellite carries three instruments: the Ocean and Land Colour Instrument (OLCI), the Sea and Land Surface Temperature Radiometer (SLSTR) and the Synthetic Aperture Radar Altimeter (SRAL). The data recorded by this pair of satellites is free of use and present a great interest to study our Earth surface.
In particular, when a strong heatwave hit the Arctic Siberia a year ago, SLSTR collected valuable measurements to monitor the local surface temperatures as well as the gigantic forest fires raging in this remote region.
After an introduction to the S3 mission and associated products, this workshop will focus on the processing of SLSTR products to map the areas affected by wildfires in Siberia between June 8th and June 27th 2020. The participants will use the SNAP software to monitor the wildfire activities based on Sentinel-3 products.
Attendees must be in possession of their own computer with a microphone to follow the online training and will be provided with access to the RUS platform Virtual Machine.
Attendance to the training course is free of charge.
This training session is designed for a beginner audience, wishing to discover Sentinel-3 data download and processing. Space is limited to 20 participants on a first-come first-served basis.