Estimating slope from raster data: A test of eight different algorithms in flat, undulating and steep terrain

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Eight frequently used slope algorithms based on a DEM (Digital Elevation Model) have been compared in flat, gently sloping/undulating, and steep terrain in order to investigate differences in estimated results. The matter of scale/resolution has not been considered, and the focus has not been on comparing the estimates with "ground truth" data but on comparisons between the different algorithms. Pair-wise statistical tests have been carried out to detect significant differences between the methods in general, and also between different terrains. In this way, we make explanations and recommendations regarding these differences and "best practice" depending on data/terrain.

Original languageEnglish
Title of host publicationRiver Basin Management VI
Editors C.A. Brebbia
PublisherWIT Press
Pages143-154
Number of pages12
Volume146
ISBN (Print)9781845645168
DOIs
Publication statusPublished - 2011
Event6th International Conference on River Basin Management including all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and wetlands, RM 2011 - Riverside, CA, United States
Duration: 2011 May 252011 May 27

Publication series

NameTransactions on Ecology and the Environment
PublisherWIT Press
Volume146
ISSN (Electronic)1743-3541

Conference

Conference6th International Conference on River Basin Management including all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and wetlands, RM 2011
Country/TerritoryUnited States
CityRiverside, CA
Period2011/05/252011/05/27

Subject classification (UKÄ)

  • Probability Theory and Statistics
  • Physical Geography

Free keywords

  • Algorithm
  • Dem
  • Slope
  • Terrain

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