Erratum: Zielewska-Büttner, K.; Adler, P.; Ehmann, M.; Braunisch, V. Automated Detection of Forest Gaps in Spruce Dominated Stands Using Canopy Height Models Derived from Stereo Aerial Imagery. Remote Sens. 2016, 8, 175
نویسندگان
چکیده
Katarzyna Zielewska-Büttner 1,*, Petra Adler 2, Michaela Ehmann 1 and Veronika Braunisch 1,3 1 Department of Forest Nature Conservation, Forest Research Institute Baden-Württemberg (FVA), Wonnhaldestr. 4, D-79100 Freiburg, Germany; [email protected] (M.E.); [email protected] (V.B.) 2 Department of Biometry and Information Sciences, Forest Research Institute Baden-Württemberg (FVA), Wonnhaldestr. 4, D-79100 Freiburg, Germany; [email protected] 3 Conservation Biology, Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, CH-3012 Bern, Switzerland * Correspondence: [email protected]; Tel.: +49-761-4018-248; Fax: +49-761-4018-333
منابع مشابه
Automated Detection of Forest Gaps in Spruce Dominated Stands Using Canopy Height Models Derived from Stereo Aerial Imagery
Forest gaps are important structural elements in forest ecology to which various conservation-relevant, photophilic species are associated. To automatically map forest gaps and detect their changes over time, we developed a method based on Digital Surface Models (DSM) derived from stereoscopic aerial imagery and a LiDAR-based Digital Elevation Model (LiDAR DEM). Gaps were detected and delineate...
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تاریخ انتشار 2017