This training is in the past.

Cloud computing with Sentinels

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 exercises will be based on Open tools (ESA SNAP Toolbox and QGIS) and will be demonstrated by a trainer connected via internet to a remote virtual machine.


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: the European Commission and ESA launched in 2017 RUS (Research and User support for Sentinel core products), a demonstrator project offering free storage and cloud computing power through customized Virtual Machines (VMs) pre-installed with wide variety of open source toolboxes. RUS also aims to empower users to exploit Copernicus data by providing training and EO expertise. RUS is targeted towards users in countries participating to the Copernicus programme, but it also addresses users from countries being supported by specific EU initiatives e.g. African institutions.

Cost & Participation

Attendance to the demo session is free of charge to participants registered to the 12th International Conference of the African Association of Remote Sensing and the Environment (AARSE2018). 

Seats will be available on a first-come first-served basis.


Participants to the demo are expected to have a minimum background on geospatial information and will be shown basic methods for exploiting optical and SAR Copernicus data in 2 case studies: vegetation monitoring in Egypt and flood mapping in Malawi.

Training Time

10:00 - 2:30 PM EET

Training date

Friday 26th of October 2018


Abu Qir Al Gharbeyah
Abu Qir Al Gharbeyah, Qism El-Montaza, Alexandria Governorate, Egipto

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