Effect and uncertainty of digital elevation model spatial resolutions on predicting the topographical factor for soil loss estimation

Journal of Soil and Water Conservation

Volumn 57, Issue 3, 2002, Pages 164-174

  Gertner, George ^a   Wang, Guangxing ^a   Fang, Shoufan ^a   Anderson, Alan B ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Digital elevation model (DEM); Error budget; Revised Universal Soil Loss Equation (RUSLE); Soil loss; Spatial resolution; Topographical factor LS; Uncertainty

Indexed keywords

DIGITAL ELEVATION MODEL; SOIL EROSION; SPATIAL RESOLUTION; TOPOGRAPHY; UNCERTAINTY ANALYSIS; UNIVERSAL SOIL LOSS EQUATION;

EID: 0036078470     PISSN: 00224561     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (39)

1. Choosing an appropriate spatial resolution for remote sensing investigations
2. Evaluation of a refined surface cover subfactor for use in Revised Universal Soil Loss Equation (RUSLE)
3. Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average offsite sediment accumulation
4. An evaluation with the Fourier Amplitude Sensitivity Test (FAST) of which land-surface parameters are of greatest importance in atmospheric modeling
5. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I. Theory
6. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. III. Analysis of the approximations
7. Selecting a spatial resolution for estimation of per-field green leaf area index
8. Analyzing uncertainty in predicted event erosion from small rangeland watersheds
9. A runoff erosivity factor and variable slope length exponents for soil loss estimates
10. A quality assessment of a Weibull based growth projection system
11. Spatial analysis of various soil properties in a semiarid rangeland
12. The calibration of digitized aerial photographs for forest stratification
13. Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution
14. Revised slope steepness factor for the Universal Soil Loss Equation (USLE)
15. Revised slope length factor for the Universal Soil Loss Equation (USLE)
16. Interpolation by regularized spline with tension: II. Application to terrain modeling and surface geometry analysis
17. Modelling topographic potential for erosion and deposition using Geographic information Systems (GIS)
18. Interpolation by regularized spline with tension: I. Theory and implementation
19. Modelling spatially and temporally distributed phenomena: New methods and tools for Geographic Resource Analysis Support System (GRASS) Geographic Inforimation Systems (GIS)
20. Physical basis of the length-slope factor in the Universal Soil Loss Equation (USLE)
21. Length-slope factors for Revised Universal Soil Loss Equation (RUSLE): Simplixfied method of estimation
22. Revised Universal Soil Loss Equation (RUSLE) model description and database sensitivity
23. Error assessment in the Universal Soil Loss Equation (USLE)
24. Comparison of three land-surface schemes with the Fourier Amplitude Sensitivity Test (FAST)
25. Uncertainty propagation and partitioning in spatial prediction of topographical factor for the Revised Universal Soil Loss Equation (RUSLE)
26. Spatial prediction and uncertainty analysis of topographical factors for the Revised Universal Soil Loss Equation (RUSLE)
27. Appropriate plot size and spatial resolution for mapping multiple vegetation types
28. Use and misuse of the Universal Soil Loss Equation (USLE)
29. The factor of scale in remote sensing
30. Variance as a function of sample support size
31. Digital elevation model grid size: Landscape representation and hydrologic simulation