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Landform - Structure, Evolution, Process Control pp 37–51Cite as

Semi-Automatic Digital Landform Mapping

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Part of the book series: Lecture Notes in Earth Sciences ((LNEARTH,volume 115))

Abstract

In this paper a framework for landform mapping on digital aerial photos and elevation models is presented. The developed mapping tools are integrated in a real-time terrain visualization engine in order to improve the visual recovery and identification of objects. Moreover, semi-automatic image segmentation techniques are built into the mapping tools to make object specification faster and easier without reducing accuracy. Thus, the high level cognitive task of object identification is left to the user whereas the segmentation algorithm performs the low level task of capturing the fine details of the object boundary. In addition to that, the user is able to supply additional photos of regions of interest and to match them with the textured DEM. The matched photos do not only drastically increase the visual information content of the data set but also contribute to the mapping process. Using this additional information precise landform mapping becomes even possible at steep slopes although they are only insufficiently represented in aerial imagery. As proof of concept we mapped several geomorphological structures in a high alpine valley.

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Authors and Affiliations

  1. Institute of Computer Science II, University of Bonn, Römerstraße 164, 53117, Bonn, Germany

    Martin Schneider & Reinhard Klein

Authors
  1. Martin Schneider
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  2. Reinhard Klein
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Correspondence to Martin Schneider .

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Editors and Affiliations

  1. Inst. Geographie, Universität Salzburg, Hellbrunnerstr. 34, Salzburg, 5020, Austria

    Jan-Christoph Otto

  2. Geographische Institut, Universität Bonn, Meckenheimer Allee 172, Bonn, 53115, Germany

    Richard Dikau

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© 2009 Springer-Verlag Berlin Heidelberg

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Schneider, M., Klein, R. (2009). Semi-Automatic Digital Landform Mapping. In: Otto, JC., Dikau, R. (eds) Landform - Structure, Evolution, Process Control. Lecture Notes in Earth Sciences, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75761-0_3

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