Topic: GEDI

Participants turn GEDI spaceborne LiDAR footprints into maps useful for ecological research. The course covers waveform and product interpretation, data-quality filtering and QGIS workflows, followed by models combining GEDI measurements with multispectral, radar and geospatial foundation-model predictors. Practical work produces continuous estimates of canopy structure and biomass with uncertainty, then explores forest disturbance, recovery and species distribution modelling in R. Live teaching runs 14:00–17:00 Berlin time. The listed course package costs €380.

Learn to turn airborne, drone and terrestrial LiDAR measurements into ecological and forestry information. Exercises in lidR cover point-cloud inspection, classification and height normalisation, terrain and canopy models, individual-tree segmentation and area-based estimates of forest structure. The programme also introduces satellite LiDAR from GEDI, spatial visualisation and measurements of canopy heterogeneity for biodiversity research. Sessions: 19–21 October, 13:00–17:00 each day, Europe/Berlin (CEST, UTC+02:00). Live online training; fee €380. Practical exercises use R and LiDAR datas