Quantitative modeling of soil erosion by water in large-scale river basin using remotely sensed data

Although RUSLE is used widely in United States and worldwide, it is limited in the application on large scale area, because of it's conventional parameterization methods. In this paper, a water erosion model based on remote sensing and GIS-(Revised RUSLE, R2USLE model) will be developed to resolve the problem of erosion assessment at catchment-scale. It can be used to do event-based soil erosion evaluation as well as the moth or year evaluation. In this model, multi-sourced remotely sensed data and geographic information tools will be used together. The application in Daling river basin shows that R2USLE is good tool to estimate the soil erosion and sediment yield in large river basin scale, but it emphasis the erosion in high degree.

[1]  A. W. Zingg,et al.  Degree and length of land slope as it affects soil loss in run-off. , 1940 .

[2]  A. Vrieling.  Satellite remote sensing for water erosion assessment: A review , 2006 .

[3]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[4]  Anton Vrieling,et al.  Erosion assessment in the Brazilian Cerrados using multi - temporal SAR imagery , 2005 .

[5]  G. R. Foster,et al.  REVISED UNIVERSAL SOIL LOSS EQUATION , 2003 .

[6]  Serwan Mj Baban,et al.  Modelling soil erosion in tropical environments using remote sensing and geographical information systems , 2001 .

[7]  Toshio Koike,et al.  Global potential soil erosion with reference to land use and climate changes , 2003 .

[8]  W. H. Wischmeier,et al.  SOIL ERODIBILITY NOMOGRAPH FOR FARMLAND AND CONSTRUCTION SITES , 1971 .

[9]  G. R. Foster,et al.  RUSLE: Revised universal soil loss equation , 1991 .

[10]  Daniel C. Yoder,et al.  RUSLE revisited: Status, questions, answers, and the future , 1994 .

[11]  Qiang Wu,et al.  A framework for risk assessment on soil erosion by water using an integrated and systematic approach , 2007 .

[12]  Victor Jetten,et al.  Calibrating and validating the LISEM model for two data sets from the Netherlands and South Africa , 1999 .

[13]  W. H. Wischmeier,et al.  Predicting rainfall erosion losses : a guide to conservation planning , 1978 .

[14]  N. Drake,et al.  Scaling land surface parameters for global‐scale soil erosion estimation , 2002 .

[15]  S. M. de Jong,et al.  Regional assessment of soil erosion using the distributed model SEMMED and remotely sensed data , 1999 .

[16]  Daniel C. Yoder,et al.  Universal Soil Loss Equation and Revised Universal Soil Loss Equation , 2011 .