The DOI matches its Crossref record.
Slope Angle and Slope Length Solutions for GIS
Abstract
The Universal Soil Loss Equation has been used for a number of years to estimate soil erosion. One of its parameters is slope length, however, slope length has traditionally been estimated for large areas rather than calculated. Using data from regular grid DEMs, a method is described in this paper for calculating the cumulative downhill slope length. In addition, methods for calculating slope angle and downhill direction (aspect) are defined. Details of the algorithm and its associated advantages and disadvantages are discussed.
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Cited by
Using the USLE: Chances, challenges and limitations of soil erosion modelling
Alewell, C., Borrelli, P., Meusburger, K., & Panagos, P. (2019) · International Soil and Water Conservation Research · doi:10.1016/j.iswcr.2019.05.004 · Cited by 804
Gelagay, H. S., & Minale, A. S. (2016) · International Soil and Water Conservation Research · doi:10.1016/j.iswcr.2016.01.002 · Cited by 401
Fu, B. J., Zhao, W. W., Chen, L. D., Zhang, Q. J., Lü, Y. H., Gulinck, H., & Poesen, J. (2005) · Land Degradation & Development · doi:10.1002/ldr.646 · Cited by 377
Uncertainties Associated with Digital Elevation Models for Hydrologic Applications: A Review
Wechsler, S. P. (2007) · Hydrology and Earth System Sciences · doi:10.5194/hess-11-1481-2007 · Cited by 280
Metadata
- Authors
- Hickey, R.
- Venue
- Cartography
- Publisher
- Informa UK Limited
- Published
- 2000-06
- Volume
- 29
- Issue
- 1
- Pages
- 1-8
- ISSN
- 0069-0805 (ISSN-L)
- OpenAlex
- W2159148756
- Cited by
- 239
- References
- 0
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hickey, R. (2000). Slope Angle and Slope Length Solutions for GIS. Cartography. https://doi.org/10.1080/00690805.2000.9714334
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
