Järvselja metsade tormikahjustuste seire mehitamata õhusõidukitega
By: Kaupo Kokamägi, Rauno Künnapuu and Natalja Liba
References
- Brovkina, O., Cienciala, E., Surový, P., Janata, P. 2018. Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. – Geo-spatial Information Science, 21(1), 12–20.
https://doi.org/10.1080/10095020.2017.1416994 . - DJI. [WWW document]. – URL
https://www.dji.com/ee/phantom-3-pro . [Accessed 7 June 2022]. - Keskkonnaamet. 2010. Nature protection management plan 2012–2021 for Järvselja nature reserve. (Järvselja looduskaitseala kaitsekorralduskava 2012–2021). [WWW document]. – URL
https://infoleht.keskkonnainfo.ee/GetFile.aspx?fail=-406250147 . [Accessed 7 June 2022]. (In Estonian). - Kokamägi, K., Türk, K., Liba, N. 2020. UAV photogrammetry for volume calculations. – Agronomy Research, 18(3), 2087−2102.
- Laurin, G.V., Francini, S., Luti, T., Chirici, G., Pirotti, F., Papale, D. 2021. Satellite open data to monitor forest damage caused by extreme climate-induced events: a case study of the Vaia storm in Northern Italy. – Forestry: An International Journal of Forest Research, 94(3), 407–416.
https://doi.org/10.1093/forestry/cpaa043 . - Minařík, R., Langhammer, J. 2016. Use of a multispectral UAV photogrammetry for detection and tracking of forest disturbance dynamics. – The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, 711–718.
http://dx.doi.org/10.5194/isprsarchives-XLI-B8-711-2016 . - Rahu, O., Siim, K. 2022. Assessment of storm damage in the Järvselja Training and Experimental Forestry District by photogrammetric methods. (Järvselja õppeja katsemetskonna tormikahjude hindamine fotogrammmeetriliste meetoditega). – Master thesis. Tartu, Estonian University of Life Sciences. 91 pp. (In Estonian with English summary).
- SenseFly. [WWW document]. – URL
https://www.sensefly.com/drone/ebee-x-fixed-wing-drone/ . [Accessed 7 June 2022]. - Tang, L., Shao, G. 2015. Drone remote sensing for forestry research and practices. – Journal of Forestry Research, 26, 791–797.
https://doi.org/10.1007/s11676-015-0088-y . - Tomppo, E., Ronoud, G., Antropov, O., Hytönen, H., Praks, J. 2021. Detection of forest windstorm damages with multitemporal SAR data – A case study: Finland. – Remote Sensing, 13(3), 383.
https://doi.org/10.3390/rs13030383 .
Language: English
Page range: 99 - 105
Submitted on: Jun 27, 2022
Accepted on: Sep 9, 2022
Published on: Feb 20, 2023
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2023 Kaupo Kokamägi, Rauno Künnapuu, Natalja Liba, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.