Forestry and Urban Vegetation Mapping

1. Forestry and Urban Vegetation Mapping Floris Groesz eCognition User Summit München 2009

2. Blom offices in Europe Countries with Blom Pictometry imagery Blom offices (22+) 1200+ employees

3. Rotor wing laserscanning - Topeye

4. Bathymetric laserscanning - Hawkeye

5. Fixed wing laserscanning

6. Aerial Photography

7. Pictometry – Oblique Photography

8. 3D Models - London

9. 3D Models – Stavanger Norway

11. Forestry in Blom

14. Relation between sample plots and LiDAR

15. Relation between sample plots and LiDAR h max 2m d 0 d 1 d 2 d 3 h 50 h 10 h 90

16. Example of Results

20. LiDAR point cloud - Profile

21. Transformation – heights above ground Height

23. Automatic stand delineation Segmentation based on: nDSM and base map (vector) 3 levels Level 1 - base map

24. Automatic stand delineation Level 2 – building blocks for forest stands

25. Automatic stand delineation Identification of clear-cuts

26. Automatic stand delineation Keeping only the clear-cuts which are large enough Small clear-cuts are ”put back into the forest”

27. Automatic stand delineation Level 3 is used for height calculations

28. Automatic stand delineation Merging of the forest stands. Image object fusion with several conditions Cleaning up of small areas

29. Automatic stand delineation Smoothing and more cleaning up Export of results

31. Smoothing and snapping

32. Result automatic delineation

33. Manual made stand lines

34. Result automatic delineation

35. Manual made stand lines

38. Vegetation around powerlines

39. Powerlines

40. Powerlines + buffer

41. Powerlines + buffer

42. nDSM

43. Vegetation > 2.5 meter

44. Vegetation > 2.5 meter

45. Vegetation > 2.5 meter

48. Trees in urban areas

52. Thank you for your attention! Floris Groesz eCognition User Summit München 2009