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

Summary, in English

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.

• Författare: J. Tang; P. Pilesjö
• Redaktör: C.A. Brebbia
• Avdelning/ar: Institutionen för naturgeografi och ekosystemvetenskap
• Publiceringsår: 2011
• Språk: Engelska
• Sidor: 143-154
• Publikation/Tidskrift/Serie: Transactions on Ecology and the Environment
• Volym: 146
• Länkar: http://dx.doi.org/10.2495/RM110131
• Dokumenttyp: Konferensbidrag
• Förlag: WIT Press
• Ämne: Probability Theory and Statistics; Physical Geography
• Nyckelord: Algorithm; Dem; Slope; Terrain
• Conference name: 6th International Conference on River Basin Management including all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and wetlands, RM 2011
• Conference date: 2011-05-25 - 2011-05-27
• Conference place: Riverside, CA, United States
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 1743-3541; ISBN: 9781845645168