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GIS-BASED ANALYSIS OF THE TREE HEALTH PROBLEMS USING UAV IMAGES AND SATELLITE DATA
Abstract
This paper explores the opportunities of using Geographic Information Systems (GIS) and data from unmanned aerial vehicles (UAVs) and satellites for effective tree health mapping and assessment of forest stands, damaged from biotic and abiotic factors. The aim is to detect affected areas with tree health problems using time series satellite images. The next step is to extract precise vector and attribute data describing the type and extent of damages using drone-captured digital images. The experimental area is part of forest territory in Trevnenska Mountain (Central Stara Planina, Bulgaria). We perform visual analytical interpretation of the aerial large-scale colour images from UAV, create digital mapping, and make an assessment of forest stands. GIS database is created with vector data and attribute data of the tree health status. The analysis of specialized data of the damaged areas enable tree health practitioners to accurately identify damaged tree species and to pinpoint the forest stands with tree health problems.
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Number of times cited according to Crossref: 2
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