EO and AI for Forestry – training course with European Space Agency on UL FGG (September 21‒25, 2020)
|Forest provide food, energy, income for more than one billion people.
They are home to 80% of the world’s terrestrial biodiversity.
Biodiversity is under serious threat from natural disasters, climate change, deforestation and forest degradation.
Sustainable forest management is very important for climate change mitigation and for all species survival (even human being).
Forest and biodiversity can be sustainably managed also by remote sensing and artificial intelligence.
The European Space Agency (ESA) in cooperation with the Faculty of Civil and Geodetic Engineering University of Ljubljana and with Ministry of Economic Development and Technology is organizing 10th Advanced Training Course on Land Remote Sensing – EO and AI for Forestry. The 5-day course will be held at the UL FGG from 21 to 25 September 2020. The main focus will be on the practical use of Earth Observation data and Artificial Intelligence for Forestry.
This course is dedicated to training the next generation of scientists, Postgraduate, PhD students, post-doctoral research scientists, professionals and experts working on Remote Sensing and using Artificial Intelligence for land surfaces, with the focus on forestry. On the course will be explained the theoretical principles, processing algorithms, data products and their use in forestry applications, introducing tool and methods for the exploitation of EO satellite data (in particular the Sentinels), stimulated the exploitation of EO and AI in the domain of forestry and demonstrated cloud-based, large-scale processing (Forestry Thematic Application Platform).
The training will include theory and hands-on sessions on the following topics:
– Introduction to the Sentinel-1 and Sentinel-2 missions and their performance;
– Introduction to ESA BIOMASS mission;
– Natural disturbances of forests;
– Forest cover monitoring and change detection with optical and SAR remote sensing;
– Forest fires detection with optical and thermal remote sensing;
– Deforestation and forest degradation;
– PolInSAR and TomoSAR for forests;
– Forest structure and biomass retrieval using SAR;
– Accuracy in forest mapping;
– S2 and Landsat time series for forests monitoring;
– EO Browser;
– AI for forests;
– Forestry TEP;
– Training on the use of SNAP toolbox.
More information and application are available on http://landtraining2020.esa.int/.
Deadline for applying is June 1, 2020.