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.