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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-G-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-831-2025
© Author(s) 2025. 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-G-2025-831-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
29 Jul 2025
| 29 Jul 2025
Development of the augmented reality app for forestry application: ForestAR
Sunni Kanta Prasad Kushwaha
Sustainable Forestry, Forest Resources and Forest Management, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zurich, 8903, Switzerland
Abhishek Rai
Department of Civil Engineering, Indian Institute of Technology Roorkee, 247667- Uttarakhand, India
Hristina Hristova
Sustainable Forestry, Forest Resources and Forest Management, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zurich, 8903, Switzerland
Ankit Sagar
Center for Nature-based Climate Solutions, Department of Geography, National University of Singapore, 117546, Singapore
Martin Mokros
Department of Geography, University College London, Gower Street, London WC1E 6BT, UK
Janine Schweier
Sustainable Forestry, Forest Resources and Forest Management, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zurich, 8903, Switzerland
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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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