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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W3-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-213-2023
© Author(s) 2023. 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-XLVIII-1-W3-2023-213-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Oct 2023
| 19 Oct 2023
INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS
Department of Earth Observation, Faculty ITC, University of Twente, Enschede, Netherlands
Inter-University Department of Regional & Urban Studies and Planning (DIST), Politecnico di Torino, Italy
S. K. P. Kushwaha
Geomatics Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee - 5 247667, 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
J. Chudá
Department of Forest Harvesting, Logistics, and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen -96001, Slovakia
M. Pondelík
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.
S. K. P. Kushwaha, K. R. Dayal, A. Singh, and K. Jain
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A. Grznárová, M. Mokroš, P. Surový, M. Slavík, M. Pondelík, and J. Merganič
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 337–341, https://doi.org/10.5194/isprs-archives-XLII-2-W13-337-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-337-2019, 2019
S. K. P. Kushwaha, H. Pande, and S. Raghavendra
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 47–51, https://doi.org/10.5194/isprs-annals-IV-5-47-2018, https://doi.org/10.5194/isprs-annals-IV-5-47-2018, 2018
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