Volume XLII-4/W10 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W10, 105-111, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W10-105-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2018

12 Sep 2018

INTEGRATION OF TREE DATABASE DERIVED FROM SATELLITE IMAGERY AND LIDAR POINT CLOUD DATA

S. C. Liew1, X. Huang1, E. S. Lin2, C. Shi1, A. T. K. Yee2, and A. Tandon2 S. C. Liew et al.
  • 1Center for Remote Imaging, Sensing & Processing, National University of Singapore, Singapore
  • 2National Parks Board, Singapore

Keywords: Tree Crown Identification and Delineation, Canopy Height Model, Lidar Point Cloud, Camera Model

Abstract. 3D tree database provides essential information of tree species abundance, spatial distribution and tree height for forest mapping, sustainable urban planning and 3D city modelling. Fusion of passive optical satellite imagery and active Lidar data can potentially be exploited for operational forest inventory. However, such fusion requires very high geometric accuracy for both data sets. This paper proposes an approach for 3D tree information extracted from passive and active data integrating into existing tree database by effectively using geometric information of satellite camera model and laser scanner scanning geometry. The paper also presents the individual methods for tree crown identification and delineation from satellite images and lidar point cloud data respectively, the geometric correction of tree position from tree top to tree base. The ground truth accuracy assessment for the tree extracted is also present.

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