15 May

Introduction to environmental point clouds, classification and machine learning

09h30-09h45 Introduction: participants, program of the day

09h45-10h45 Introduction to point clouds (LiDAR & SfM) and classification [B. Bookhagen]

11h00-12h00 Applications [D. Lague, B. Bookhagen]

• Landslides
• Coastal erosion

13h45-14h45 General concepts of machine learning [A. Rheinwalt]

• Why machine learning instead of rule-based approaches?
• Training / testing
• Overfitting
• Caveats, pitfalls

15h00-16h00 Applications [B. Bookhagen, A. Rheinwalt]

• Ground segmentation (semantic) and classification: structural tensor of ICESat2 data and airborne LiDAR data
• Pebble instance segmentation

16h00-16h15 Conclusion