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Quantitative analysis of anthropogenic relief features: automated mapping of charcoal kiln sites from high-resolution ALS data

  • High-resolution digital elevation data from airborne laser scanning (ALS) allow for identification and mapping of so far unknown small-scale relief features that are hidden by forest cover. Especially as a result of historic land use, small anthropogenic landforms can occur, e.g., remains of charcoal kilns on sites that were used for charcoal production or ridge and furrow systems in former farmland areas. Mapping such relief features and analyzing their spatial distribution patterns can help to understand past land-use systems and their effects on landscapes. To efficiently detect and quantify small-scale relief features from high-resolution DEMs for larger areas, (semi-) automated mapping routines are required.

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Author: Anna SchneiderORCiDGND, Melanie Takla, Alexander NicolayORCiD, Alexandra RaabORCiD, Thomas RaabORCiDGND
URL:http://meetingorganizer.copernicus.org/EGU2014/EGU2014-2795.pdf
Title of the source (English):European Geosciences Union, General Assembly 2014, Vienna, Austria, 27 April – 02 May 2014
Publisher:European Geophysical Society
Place of publication:Katlenburg-Lindau
Document Type:Conference Proceeding
Language:English
Year of publication:2014
Comment:
EGU2014-2795
Series ; volume number:Geophysical Research Abstracts ; 16
Faculty/Chair:Zentrale Einrichtungen / Forschungszentrum Landschaftsentwicklung und Bergbaulandschaften (FZLB)
Fakultät 2 Umwelt und Naturwissenschaften / FG Geopedologie und Landschaftsentwicklung
Institution name at the time of publication:Fakultät für Umweltwissenschaften und Verfahrenstechnik (eBTU) / LS Geopedologie und Landschaftsentwicklung
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