DEM-based watershed topographic attributes extraction and analysis

Lifeng Yuan, Qigang Zhou, Qingfeng Zhang, Wenwen Li, Weiguo Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper study topographic attributes extraction and analysis methods based on grid DEMs. We used mathematic statistics method and comparative analysis to analyze effect of DEMs with different resolutions on the outcome of topographic terrain extraction, including slope, topographic index (i.e. In (α/tanβ)), watershed area, and drainage network. The results show that effect of DEMs with different resolution on topographic attributes is different. Terrain is smoothed, the mean slope decreases, the mean value of ln(α/tanβ) distribution increases, the total area of watershed increases, the count of subwatersheds decrease, the total length of streams decrease, and the drainage density decreases as DEMs grid size increase.

Original languageEnglish (US)
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages911-913
Number of pages3
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: Jul 31 2006Aug 4 2006

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
CountryUnited States
CityDenver, CO
Period7/31/068/4/06

Keywords

  • DEM
  • Topographic attribution
  • Watershed delineation

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Yuan, L., Zhou, Q., Zhang, Q., Li, W., & Jiang, W. (2006). DEM-based watershed topographic attributes extraction and analysis. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS (pp. 911-913). [4241381] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2006.234