The Advanced Training Course on Land Remote Sensing – EO and AI for Forestry aims at:
- Training the next generation of scientists and professionals on remote sensing for land surfaces, with the focus on forestry
- Explaining 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
- Stimulating the exploitation of EO and AI in the domain of forestry
- Demonstrating 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 timeseries for forests monitoring
- EO Browser
- AI for forests
