RUS Copernicus is co-organizing with the Copernicus Academy Network and the Aristotle University of Thessaloniki (Greece) a remote hands-on training session offering you to participate safely from home/your office and still get all the benefits of a RUS face-to-face practical training. This three-day session will include theory lectures and hands-on exercises, where you will access a Virtual Machine from your own laptop, to exploit the open source toolboxes available in the RUS environment to download and process the data.

8 June – Theory on Remote Sensing (given by the Copernicus Academy coordinator)

This session will provide an introduction to satellite remote sensing and to optical and SAR data analysis and their different applications, with a specific focus on Sentinel-1 SAR data and Sentinel-2 optical data. SAR interferometric principles will also be explained.

9 June – Water bodies mapping using Sentinel-1 and Sentinel-2 data (hands-on exercise using RUS Virtual Machines)

Water bodies cover a large part of the Earth’s surface and the ability to accurately map them is significant to many scientific applications. During the training, we will study how to map and monitor the water bodies extent, using the techniques applied in case of emergency. We will use Sentinel-1 and Sentinel-2 products and explore the advantages and disadvantages of each type.

10 June – InSAR processing for Ground Deformation with Sentinel-1 (hands-on exercise using RUS Virtual Machines)

InSAR is a method used to detect and monitor ground displacement over large areas. Mechanisms that cause terrain motions (like earthquakes) may vary: tectonic faults activation, movement of magma in volcanoes… Land subsidence is also very important to monitor, especially for urban and agricultural areas which are subject to ground instabilities, whether they are related to anthropogenic or natural-geological activities. We will use Sentinel-1 SLC products to derive the deformation caused and we will combine it with geological data.

For more information on the schedule and updates, visit our training website.

RUS Training Session (online) – 8-10 June 2020