Title of article :
Digital Elevation Model generation for historical landscape analysis based on LiDAR data, a case study in Flanders (Belgium)
Author/Authors :
Werbrouck، نويسنده , , I. and Antrop، نويسنده , , M. and Van Eetvelde، نويسنده , , V. and Stal، نويسنده , , C. and De Maeyer، نويسنده , , Ph. and Bats، نويسنده , , M. L. Bourgeois، نويسنده , , J. and Court-Picon، نويسنده , , M. and Crombé، نويسنده , , Ph. and De Reu، نويسنده , , Wolfgang J. and De Smedt، نويسنده , , Ph. and Finke، نويسنده , , P.A. and Van Meirvenne، نويسنده , , M. and Verniers، نويسنده , , J. and Zwertvaegher، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
8
From page :
8178
To page :
8185
Abstract :
This paper discusses the generation of a high precision DEM (Digital Elevation Model) based on high density airborne LiDAR (Light Detection and Ranging) data for an interdisciplinary landscape archaeological study concerning the settlement history and environment in Sandy Flanders, a region to the north of Ghent (Belgium). The objective was to create a detailed topographical surface free of artificial features and topographical artefacts, in the form of a DEM, visualizing the natural and current topography through the implementation of true ground points only. The semi-automatical removal of these features and artefacts was based on topographical vector data, visual interpretations and slope analysis. Ultimately two DEM’s were constructed (1) a TIN (Triangulated Irregular Network) model, whereby the inherent large file format restricts the usability to large scale and (2) a grid model which can be used for small-, medium- and large-scale applications. Both datasets were used as an image that is interpreted using ancillary data from historical sources. Its usefulness is illustrated in a case of field pattern and microfield topography. Starting from this DEM, the approach of this landscape historical study is mainly retrogressive, i.e. starting from the landscape structures and elements that are still present in the contemporary landscape and moving into the past.
Keywords :
geoarchaeology , Microtopography , Landscape visualization , Multi-scale concept , filtering
Journal title :
Expert Systems with Applications
Serial Year :
2011
Journal title :
Expert Systems with Applications
Record number :
2349539
Link To Document :
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