License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2021.I.16
URN: urn:nbn:de:0030-drops-130512
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13051/
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van Kreveld, Marc ; Ophelders, Tim ; Sonke, Willem ; Speckmann, Bettina ; Verbeek, Kevin

Volume from Outlines on Terrains

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LIPIcs-GIScience-2021-I-16.pdf (14 MB)


Abstract

Outlines (closed loops) delineate areas of interest on terrains, such as regions with a heightened risk of landslides. For various analysis tasks it is necessary to define and compute a volume of earth (soil) based on such an outline, capturing, for example, the possible volume of a landslide in a high-risk region. In this paper we discuss several options to define meaningful 2D surfaces induced by a 1D outline, which allow us to compute such volumes. We experimentally compare the proposed surface options for two applications: similarity of paths on terrains and landslide susceptibility analysis.

BibTeX - Entry

@InProceedings{vankreveld_et_al:LIPIcs:2020:13051,
  author =	{Marc van Kreveld and Tim Ophelders and Willem Sonke and Bettina Speckmann and Kevin Verbeek},
  title =	{{Volume from Outlines on Terrains}},
  booktitle =	{11th International Conference on Geographic Information Science (GIScience 2021) - Part I},
  pages =	{16:1--16:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-166-5},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{177},
  editor =	{Krzysztof Janowicz and Judith A. Verstegen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13051},
  URN =		{urn:nbn:de:0030-drops-130512},
  doi =		{10.4230/LIPIcs.GIScience.2021.I.16},
  annote =	{Keywords: Terrain model, similarity, volume, computation}
}

Keywords: Terrain model, similarity, volume, computation
Collection: 11th International Conference on Geographic Information Science (GIScience 2021) - Part I
Issue Date: 2020
Date of publication: 25.09.2020


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