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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-457-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-457-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
OPTIMUM NUMBER AND POSITIONS OF TERRESTRIAL LASER SCANNER TO DERIVE DTM AT FOREST PLOT LEVEL
S. K. P. Kushwaha
Geomatics Group, Department of Civil Engineering, Indian Institute of Technology, Roorkee - 247667, Uttarakhand, India
Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen -96001, Slovakia
A. Singh
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague - 16500, Czech Republic
K. Jain
Geomatics Group, Department of Civil Engineering, Indian Institute of Technology, Roorkee - 247667, Uttarakhand, India
M. Mokros
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague - 16500, Czech Republic
Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen -96001, Slovakia
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Short summary
Short summary
Strong winds may uproot and break trees and represent a risk for forests. Despite the importance of this natural disturbance and possible intensification in view of climate change, spatial information about wind-related impacts is currently missing on a pan-European scale. We present a new database of wind disturbances in European forests comprised of more than 80 000 records over the period 2000–2018. Our database is a unique spatial source for the study of forest disturbances at large scales.
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A. Pandey and K. Jain
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