Estimating slope from raster data : A test of eight different algorithms in flat, undulating and steep terrain
(2011) 6th International Conference on River Basin Management including all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and wetlands, RM 2011 In Transactions on Ecology and the Environment 146. p.143-154- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/efebc64d-05d4-4b7f-9581-4abf5948e525
- author
- Tang, J. LU and Pilesjö, P. LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Algorithm, Dem, Slope, Terrain
- host publication
- River Basin Management VI
- series title
- Transactions on Ecology and the Environment
- editor
- Brebbia, C.A.
- volume
- 146
- pages
- 12 pages
- publisher
- WIT Press
- conference name
- 6th International Conference on River Basin Management including all aspects of Hydrology, Ecology, Environmental Management, Flood Plains and wetlands, RM 2011
- conference location
- Riverside, CA, United States
- conference dates
- 2011-05-25 - 2011-05-27
- external identifiers
-
- scopus:84865539032
- ISSN
- 1743-3541
- ISBN
- 9781845645168
- DOI
- 10.2495/RM110131
- language
- English
- LU publication?
- yes
- id
- efebc64d-05d4-4b7f-9581-4abf5948e525
- date added to LUP
- 2022-03-25 13:05:43
- date last changed
- 2022-03-31 02:30:45
@inproceedings{efebc64d-05d4-4b7f-9581-4abf5948e525, abstract = {{<p>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.</p>}}, author = {{Tang, J. and Pilesjö, P.}}, booktitle = {{River Basin Management VI}}, editor = {{Brebbia, C.A.}}, isbn = {{9781845645168}}, issn = {{1743-3541}}, keywords = {{Algorithm; Dem; Slope; Terrain}}, language = {{eng}}, pages = {{143--154}}, publisher = {{WIT Press}}, series = {{Transactions on Ecology and the Environment}}, title = {{Estimating slope from raster data : A test of eight different algorithms in flat, undulating and steep terrain}}, url = {{http://dx.doi.org/10.2495/RM110131}}, doi = {{10.2495/RM110131}}, volume = {{146}}, year = {{2011}}, }