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Title: FOREST CANOPY COVER DETERMINATION USING AN UNMANNED AERIAL VEHICLE AND OBJECT-BASED IMAGE ANALYSIS IN A BEECH AND DURMAST OAK STAND IN THE SOUTH-WEST HILLY AREA OF POIANA-RUSC? MOUNTAINS, ROMANIA
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FOREST CANOPY COVER DETERMINATION USING AN UNMANNED AERIAL VEHICLE AND OBJECT-BASED IMAGE ANALYSIS IN A BEECH AND DURMAST OAK STAND IN THE SOUTH-WEST HILLY AREA OF POIANA-RUSC? MOUNTAINS, ROMANIA
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1314-2704
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English
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17
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32
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The forest canopy cover is an important element of forest inventories and it represents the proportion of the ground covered by the vertical projection of the tree crowns. Traditional ground-based methods cannot be efficient in measuring the vertical projection of the tree crowns and in accurately making determinations of forest canopy cover percentage in stands of over a few hectares. The purpose of the current paper is to present the potential of a new approach for forest canopy cover determination that is based on Unmanned Aerial Vehicles (UAV) surveys combined with Object-Based Image Analysis (OBIA).
A low-cost commercial UAV was used in order to acquire aerial images over a beech and durmast oak stand in the South-West hilly area of Poiana-Rusc? Mountains. Based on the captured images, an orthomosaic was assembled. OBIA was used in order to segment and classify the orthomosaic and calculate the forest canopy cover percentage. The results present a comparison between the current method determination and the traditional ground-based field estimation. Further, the advantages of the methodology in this study in terms of costs, time-consumption and accuracy are discussed. |
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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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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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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837-844
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29 June - 5 July, 2017
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website
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cdrom
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3500
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forest canopy cover; UAV; OBIA; remote sensing
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