Description
Course materials from the 10th Advanced Training Course on Land Remote Sensing held on 20-24 September 2021 in a hybrid format (both online and in presence in Ljubljana, Slovenia)
Day 1 – Monday 20th September 2021
- Course Introduction
- Space-related activities in Slovenia: Astrophysics
- AI@EDGE – Nanosatellites as Cost Efficient Space Probes
- Earth Observation in Slovenia
- SPACE-SI Satellite Systems & Services
- ESA Earth Observation, Science for Society & Forests
- Sentinel-1 Mission Status
- Sentinel-2 Mission Status
- Sentinel-3 Mission Status
- The Biomass Mission – ESA’s Forest mission
- ESA EO and Copernicus data access
- Introduction to Optical Remote Sensing for Forestry
- Introduction to Synthetic Aperture Radar (SAR) for Forest (In-SAR and Pol-SAR)
Day 2 – Tuesday 21th September 2021
- Multi-baseline Polarimetric SAR Interferometry: Forest Applications
- Forest fires with optical and thermal remote sensing observations
- Natural disturbances of forests : lecture
Day 3 – Wednesday 22th September 2021
- Forest cover monitoring and change detection with optical and radar remote sensing
- Deforestation, forest degradation and REDD+
- Tropical Moist Forest Monitoring
- Forest Degradation Monitoring Using an Optical/ Radar-based Approach
- Sentinel-2 Composites for the Tropics
- Satellite Image Time Series for Forest Disturbance Monitoring in Slovenia
- Bark beetle damage detection with UAV, Sentinel-2 and MODIS in Slovenia
- Forest inventories and remote sensing
- UAV – Microdrones and Multispectral sensing
- Observing forest regeneration using long term satellite image series
Day 4 – Thursday 23th September 2021
- Accuracy in Forest Mapping
- Streamlined observations of forests using EO Browser and eo-learn
Day 5 – Friday 24th September 2021
- Artificial Intelligence and Forestry
Training materials
- ESA SNAP Toolbox Introduction (817 MB)
- SNAP S1 Exercise Forest Monitoring (2 GB)
- Natural Disturbances of Forests (14 GB)
- SNAP S2-S3 Exercise Active-Fires Burned Scars (5 GB)
- EO learn workshop (271 MB)
- AI for Forests Practicals (6 MB)
- Forestry TEP: Platform solution for forest analyses
