The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Andreas Persson

Andreas Persson

Senior lecturer

Andreas Persson

Comparison of DEM Data Capture and Topographic Wetness Indices

Author

  • Frank Schmidt
  • Andreas Persson

Summary, in English

Digital elevation models (DEMs) can be captured and analysed by various methods. Elevation capturing with RTK-GPS and airborne laser scanning is presented and evaluated in terms of height accuracy of raw data and interpolated DEMs for study sites in Sweden and Germany. Applications for precision agriculture are based on the connection of land surface and the movement of water in the landscape. Three methods of deriving potential flow accumulation from DEMs are discussed. Results indicate that the Topographic Wetness Index can be used to assess the pattern of potential soil moisture on a field and changes in soil texture caused by erosion processes. The quality of the soil moisture assessment varies with both flow algorithm and terrain characteristics. Correlations up to r2 = 0.64 were found. Best results were obtained on undulating farmland using the DEMON algorithm and a formbased approach. However, in areas with low relief, the concept did not lead to valuable soil moisture maps.

Publishing year

2003

Language

English

Pages

179-192

Publication/Series

Precision Agriculture

Volume

4

Issue

2

Document type

Journal article

Publisher

Springer

Topic

  • Physical Geography

Keywords

  • topography
  • DTM
  • GPS
  • laser scanning
  • wetness index

Status

Published

ISBN/ISSN/Other

  • ISSN: 1385-2256