Published on: 12 Oct 2018
Seats are still available!
During this webinar, we will employ RUS to map build-up areas in the surroundings of Bochum, Germany using a supervised classification (random forest algorithm) and coherence derived from Sentinel-1 SLC data.
We will show you how to access the RUS Service and how to download, process, analyze and visualize the free data acquired by the Copernicus satellites.
The large volume of data systematically acquired by the Sentinel satellites may pose constraints to downloading, processing and overall exploitation of the data. Modern technologies - such as cloud computing may alleviate this issue.
During this session you will become familiar with a cloud computing facility – in particular the RUS environment and will learn how to request a RUS virtual machine for Earth Observation projects and activities exploiting the Copernicus Sentinel data.
The demo will take place during the (AARSE2018).
This 2 full day hands-on training course is organized by RUS and the
The RUS training course will include formal theory lectures as well as hands-on exercises, where you will access from your own laptop a Virtual Machine to exploit the open source toolboxes available in the RUS environment to download and process the data.
additions to our RUS e-learning
All the courses are available in French with English subtitles.
All you have to do is:
Subscribe to our newsletter to always keep up-to-date with our latest news and training info.