20.500.12556/DKUM-95452 Odkrivanje obolelih in posušenih dreves hrasta z uporabo drona in multispektralne kamere diplomsko delo Detection of diseased and dried out oak trees using a drone and a multispectral camera Izvleček V diplomskem delu smo raziskali možnost odkrivanja obolelih in posušenih dreves hrasta z uporabo drona in multispektralne kamere. Namen raziskave je bil preveriti učinkovitost sodobnih metod daljinskega zaznavanja pri hitrejšem in natančnejšem prepoznavanju dreves v stresu v primerjavi s tradicionalnimi fizičnimi obhodi. V rezervatu Cigonca smo izvedli prelet z dronom DJI Phantom 4, opremljenim z multispektralno kamero Parrot Sequoia. Zajete podatke smo obdelali s programom PIX4Dfields ter nato izdelali ortomozaik in izračunali indeks NDVI, na podlagi katerega smo določili tri potencialno stresna območja. Nato smo opravili fizični obhod za potrditev rezultatov. Ugotovili smo, da so bila drevesa na vseh treh območjih dejansko prizadeta. Na območju 1 (NDVI 0,45–0,49) so bila drevesa preraščena z bršljanom, kar je zmanjšalo njihovo vitalnost. Na območju 2 (NDVU 0,36–0,39) so bila drevesa močno poškodovana zaradi glivičnih okužb ter so imela razpoke in slabo porasle krošnje. Na območju 3 (NDVI 0,29–0,32) so bila drevesa povsem posušena in brez ekonomske vrednosti. Iz rezultatov je razvidno, da uporaba drona in multispektralne kamere omogoča hitro, učinkovito in prostorsko natančno zaznavanje stresnih območij ter bistveno prispeva k pravočasnemu ukrepanju za ohranjanje vitalnosti hrastovih gozdov in zmanjšanje gospodarske škode. This thesis explores the possibility of detecting diseased and dried oak trees using a drone equipped with a multispectral camera. The aim of the research was to evaluate the effectiveness of modern remote sensing methods in identifying stressed trees more quickly and accurately compared to traditional ground-based inspections. In the Cigonca reserve, we carried out a drone flight with a DJI Phantom 4 equipped with a Parrot Sequoia multispectral camera. We processed the collected data using PIX4Dfields software, then created an orthomosaic and calculated the NDVI index, which we used to identify three potentially stressed areas. We then carried out a physical inspection to validate the results. The findings confirmed that the trees in all three areas were affected. In Area 1 (NDVI 0.45–0.49), the trees were covered with ivy, which reduced their vitality. In Area 2 (NDVI 0.36–0.39), the trees were severely damaged by fungal infections and showed trunk cracks and sparse less vital. In Area 3 (NDVI 0.29–0.32), the trees were completely dried out and had no economic value. The results indicate that the use of drones and multispectral cameras can enable a fast, efficient, and spatially accurate detection of stress areas, as well as significantly contribute to timely interventions for preserving the vitality of oak forests and consequently reducing economic losses. hrast sušenje dron multispektralna kamera oak drying drone multispectral camera true true false A. Paunović Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-09-18 23:00:55 2025-10-28 15:02:46 2025-10-29 03:22:32 0000-00-00 00:00:00 2025 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VI, 28 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 582.623.2:632:629.7.014.9:681.783.322(043.2)=163.6 255106563 VS_Paunovic_Andela_2025.pdf VS_Paunovic_Andela_2025.pdf 1 3108C01BE0170AA39AED26AD591E26B9 fc12750d35f829b143e9b7595854212127b4e25b601cfed6d762221867d51faf fd4bd4b8-b3fe-11f0-88b5-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=200243 Fakulteta za kmetijstvo in biosistemske vede 0 0 0