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Quantitative analysis of land surface topography
Abstract
Land surface topography significantly affects the processes of runoff and erosion. A system which determines slope, aspect, and curvature in both the down‐slope and across‐slope directions is developed for an altitude matrix. Also, the upslope drainage area and maximum drainage distance are determined for every point within the altitude matrix. A FORTRAN 66 program performs the analysis.
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Cited by
A detachment‐limited model of drainage basin evolution
Howard, A. D. (1994) · Water Resources Research · doi:10.1029/94wr00757 · Cited by 1,255
Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts
Fan, X., Scaringi, G., Korup, O., West, A. J., van Westen, C. J., Tanyas, H., Hovius, N., Hales, T. C., Jibson, R. W., Allstadt, K. E., et al. (2019) · Reviews of Geophysics · doi:10.1029/2018rg000626 · Cited by 1,021
Berger, C., Rosentreter, J., Voltersen, M., Baumgart, C., Schmullius, C., & Hese, S. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.02.020 · Cited by 312
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
TWI computation: a comparison of different open source GISs
Mattivi, P., Franci, F., Lambertini, A., & Bitelli, G. (2019) · Open Geospatial Data, Software and Standards · doi:10.1186/s40965-019-0066-y · Cited by 151
Metadata
- Authors
- Zevenbergen, L. W., & Thorne, C. R.
- Venue
- Earth Surface Processes and Landforms
- Publisher
- Wiley
- Published
- 1987-01
- Volume
- 12
- Issue
- 1
- Pages
- 47-56
- ISSN
- 0197-9337 (ISSN-L)
- 1096-9837
- OpenAlex
- W1983513512
- Cited by
- 1,610
- References
- 0
- FWCI
- 3.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zevenbergen, L. W., & Thorne, C. R. (1987). Quantitative analysis of land surface topography. Earth Surface Processes and Landforms. https://doi.org/10.1002/esp.3290120107
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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.