Airborne LiDAR Scanning for Forest Biomass Estimation

Transcription

1 Airborne LiDAR Scanning for Forest Biomass Estimation M. Balsi, S. Esposito, P. Fallavollita, C. Giannì DIET, La Sapienza University, Rome, Italy Oben srl, Sassari, Italy - marco.balsi@uniroma1.it FreshLIFE - Demonstrating Remote Sensing Integration in sustainable forest management close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value 1

2 close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value sustainable forest management based on geo-referenced indicators close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value sustainable forest management based on geo-referenced indicators data obtained from: ground survey satellite, conventional aircraft drones, close-up several information layers combined into GIS products 2

3 close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value sustainable forest management based on geo-referenced indicators data obtained from: ground survey satellite, conventional aircraft drones, close-up several information layers combined into GIS products close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value sustainable forest management based on geo-referenced indicators data obtained from: ground survey satellite, conventional aircraft drones, close-up several information layers combined into GIS products 3

4 close-up remote sensing for foresty forests provide CO 2 sequestration biodiversity economic value sustainable forest management based on geo-referenced indicators data obtained from: ground survey satellite, conventional aircraft drones, close-up several information layers combined into GIS products LiDAR on RPAS Oben s RPAS 16kg 20 autonomy automatic flight RTK georeferencing 4

5 LiDAR principles Point clouds 5

6 Point clouds points/m 2 Classification 6

7 Classification DSM, DTM, CHM 7

8 DSM, DTM, CHM Digital Surface Model Digital Terrain Model DSM, DTM, CHM Digital Surface Model Digital Terrain Model Canopy Height Model 8

9 DSM, DTM, CHM DSM, DTM, CHM DSM 9

10 DSM, DTM, CHM DTM DSM, DTM, CHM CHM grid spacing: 0.2-1m 10

11 DSM, DTM, CHM More processing... courtesy: Carla Nardinocchi, DICEA, «La Sapienza» Univ. 11

12 More applications... More applications... 12

13 More applications... More applications... 13

14 More applications... More applications... 14

15 Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise 15

16 Lessons learned aerial platforms air traffic regulations SKYOPENER - establishing new IMU/AHRS foundations for the use of Remotely- RTK, PPK Piloted Aircraft Systems for civilian LiDAR vs. photogrammetry applications. public research and private enterprise Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise 16

17 Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise Real Time Kinematic Post Processed Kinematic Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise 17

18 Lessons learned aerial platforms air traffic regulations IMU/AHRS RTK, PPK LiDAR vs. photogrammetry public research and private enterprise Airborne LiDAR Scanning for Forest Biomass Estimation M. Balsi, S. Esposito, P. Fallavollita, C. Giannì DIET, La Sapienza University, Rome, Italy Oben srl, Sassari, Italy - marco.balsi@uniroma1.it FreshLIFE - Demonstrating Remote Sensing Integration in sustainable forest management 18