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MONITORING AND ASSESSMENT OF STORM DAMAGE TO FORESTS USING THE PHOTOGRAMMETRIC METHOD
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Natalja Liba; Kaupo Kokamagi; Rauno Kunnapuu; Kart Metsoja
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10.5593/sgem2023/2.1
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1314-2704
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English
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23
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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The escalating intensity of climate change-induced storms necessitates efficient methods for surveying storm-damaged forests. This study conducted in Estonia employed Unmanned Aerial Vehicles (UAVs), equipped with compact cameras, to assess damage over a 16 square kilometer storm-affected area. We created digital surface models (DSMs) and orthophoto mosaics using two types of drones - a fixedwing and a multirotor. While both types had their distinct advantages depending on the terrain, a 70% x 70% overlap of images was found to be inadequate for proper alignment of images in heavily forested areas. Comparing drone-generated DSMs with existing DSM data was a quick method for locating storm-damaged areas, although not ideal for accurately calculating their extent. It was also found that orthophoto mosaics with a 0.2 m resolution were sufficient for damage analysis.
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conference
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
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23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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299-306
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03 - 09 July, 2023
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website
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9118
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unmanned aerial vehicles, windstorm damage, orthomosaics
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