Registration, georeferencing and processing of multiple laser scans acquired by terrestrial laser scanner for estimating tree morphological parameters
Paper ID : 1204-GEOSPATIAL (R4)
Authors:
mukesh kumar verma *, Manohar Yadav
MNNIT Allahabad
Abstract:
The tree inventory is very important for forestry and environment-related issues, where tree morphology is one of the key components. LiDAR technology is being selected over other techniques for the tree's three-dimensional mapping and inventory. In this paper, a methodology for point cloud registration and georeferencing of the LIDAR point cloud, and computation of tree morphological parameters, namely tree height, crown diameter, and crown projection area is presented. The instruments used for the point cloud acquisition, registration and georeferencing were a total station, global navigation satellite system, and terrestrial laser scanner. Data from all three instruments were transformed into a common coordinate system that is the Universal Transverse Mercator coordinate system. In the transformed point cloud, the z-axis of the coordinate system is towards the plumb line. The tree height, crown diameter, and crown projection area are computed based on the point cloud-derived canopy height model and tree top detection.
Keywords:
Point cloud, registration, georeferencing, terrestrial laser scanner (TLS), global navigation satellite system (GNSS), and total station (TS).
Status : Paper Accepted (Poster Presentation)