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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
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 173–177, https://doi.org/10.5194/isprs-archives-XLII-2-W17-173-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-173-2019, 2019
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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