• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2016, Volume 4, Issue 2

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2016, Volume 4, Issue 2

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8085-2
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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DEM-based Feature Information Index of Runoff Nodes

    Zui Hu, Josef Strobl

GI_Forum 2016, Volume 4, Issue 2, pp. 67-73, 2016/12/02

Journal for Geographic Information Science

doi: 10.1553/giscience2016_02_s67


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doi:10.1553/giscience2016_02_s67


Abstract

Runoff nodes, located where stream segments merge to form a larger one, carry important structural geographic information. Extensive research has been done on runoff nodes, but there is still a lack of work on measuring the information content of runoff nodes across watersheds. This paper develops a novel index, called the “Feature Information Index of Runoff Nodes” (FIIRN), to assess the feature information content according to the Theory of Rough Sets (TRS). Firstly, this paper establishes the conception of, and the algorithm behind, FIIRN. Then, by exploring seven typical landforms of the Loess Plateau of China as case studies, values of FIIRN are calculated after extracting all the runoff nodes. Our experiment shows that FIIRN can effectively represent the feature information of watersheds, such as runoff order or evolutionary status. In summary, FIIRN will play a significant role in future watershed analysis.

Keywords: digital elevation models, watershed analysis, runoff nodes

Published Online: 2016/12/02 08:11:00

Object Identifier: 0xc1aa5572 0x00348f0e

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Rights: https://creativecommons.org/licenses/by-nd/4.0/