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EO Training before the XIX SELPER International Symposium: Sentinels for Vegetation and Natural Disasters (in Spanish)

 November 8, 2021 - November 12, 2021

ESA and the Latin American Society of Remote Sensing and Spatial Information Systems (SELPER) organised a training course preceding the XIX International SELPER Symposium. Due to the COVID-19 pandemic, the event took place in an online format.

The theoretical and practical sessions were led by different experts coming from ESA, CONAE, CRECTEALC, NASA ARSET, NASA SERVIR / University of Alabama in Huntsville, Alaska Satellite Facility / University of Alaska Fairbanks, NASA Disasters Program, EO4IM and the University of Tor Vergata. The event counted with the support of the CEOS Working Group on Capacity Building and Data Democracy.

The topics focused mainly on the use of the Copernicus Sentinels (SAR and optical), but featured as well other satellites such as SAOCOM and Landsat. The goal was to demonstrate their use for a variety of applications related to vegetation and natural disasters: deforestation, agriculture, wildfires, floods, risks associated to mountain environments and terrain deformation.

The programme included theory and practical sessions, which featured the use of tools such as ESA SNAP, EO Browser, ESA RACE Dashboard and Jupyter Notebooks, among others.

A total of 44 persons participated in the event. They were post-graduate or PhD students, post-doctoral research scientists, professors and professionals from the public or private sector, mainly affiliated to a variety of Latin American countries (Chile, Argentina, Brasil, Mexico, Colombia, Bolivia, El Salvador, Perú) with a minority affiliated to Spain and Portugal.

The sessions were mainly conducted in Spanish, with a minority of them being in English.

Access here below the full programme and the training materials (videos of the sessions, theory slides, practical slides and datasets).


Featured image : Burnt scar from a wildfire near Madrid, Spain. Contains modified Copernicus Sentinel data (2019) processed by ESA with Sentinel Hub EO Browser