| THE EFFECT OF UAV FLIGHT ALTITUDE ON THE ACCURACY OF INDIVIDUAL TREE HEIGHT EXTRACTION IN A BROAD-LEAVED FOREST |
| Paper ID : 1087-SMPR |
| Authors: |
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Sima Sadeghi1, Hormoz Sohrabi *2 1Tarbiat MOdares University 2Tarbiat Modares University |
| Abstract: |
| Advances in Unmanned Aerial Vehicle (UAV) technology made it possible to collect very high resolution images with affordable cost. From the other hand, data processing capabilities have made it feasible to obtain three dimensional (3D) data which can be used for measurement and estimation of different forest structural properties. In this research, we examined the accuracy of tree height derived from photogrammetric processing of UAV images. Using structure from motion algorithm, point cloud was generated and canopy height model (CHM) was derived. The study area was 2.50 hectares in which the height of all the trees were measured. Images were taken at five flight heights including 60, 80, 100, 120, and 140 meters a.s.l on November 27, 2017 and flight height 100 meters on July 11, 2018. The highest correlation between ground measurement and height derived from CHM was for 100 m, July with r-square and RMSE of 0.83 and 0.31 m, respectively. In general, the higher flight altitude (100-140) resulted in more precise height measurement. |
| Keywords: |
| UAV, canopy height model, structure from motion, remote sensing, tree height |
| Status : Conditional Accept (Poster) |
