The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 457–462, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-457-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 457–462, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-457-2022
 
30 May 2022
30 May 2022

OPTIMUM NUMBER AND POSITIONS OF TERRESTRIAL LASER SCANNER TO DERIVE DTM AT FOREST PLOT LEVEL

S. K. P. Kushwaha1,3, A. Singh2, K. Jain1, and M. Mokros2,3 S. K. P. Kushwaha et al.
  • 1Geomatics Group, Department of Civil Engineering, Indian Institute of Technology, Roorkee - 247667, Uttarakhand, India
  • 2Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague - 16500, Czech Republic
  • 3Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen -96001, Slovakia

Keywords: Forest, TLS, Point cloud, Ground Filtering, DTM

Abstract. Remote sensing of forest landscape is sometimes quite challenging, considering the rugged terrain, remote areas and presence of dense canopy. LiDAR is capable of generating dense three-dimensional (3D) structure of the forest. But when research is focused on a small area that needs dense information Terrestrial Laser Scanner (TLS) proves to be an efficient way of acquiring the information. TLS is an instrument used to acquire data from the ground surface level. Ground information and under canopy structure are acquired with more accuracy and precession with TLS when compared to aerial remote sensing techniques. When a TLS survey is done, scan positions and the number of scans are important parameters to consider to acquire datasets of forest plots. In this research, an analysis is carried out to determine the optimum number of TLS scans and positions that are needed to sufficiently generate the number of ground points to generate a Digital Terrain Model (DTM). The research considers two forest plots of 25m × 25m with different tree densities. Different TLS scanning combinations are used to determine the best scanning pattern for DTM generation at the forest plot level.