QUANTITATIVE MODELING OF SOIL EROSION BY WATER IN LARGE-SCALE RIVER BASIN USING REMOTELY SENSED DATA

被引：1

作者：

Zhu, Qiang ^{[1
,2
,3
]}

Chen, Xiuwan ^{[2
,3
]}

Fan, Qixiang ^{[1
]}

Jin, Heping ^{[1
]}

机构：

[1] China Three Gorges Corp, Yichang 443002, Peoples R China

[2] Peking Univ, Inst Remote Sensing, Beijing 100871, Peoples R China

[3] Peking Univ, GIS, Beijing 100871, Peoples R China

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Large river basin scale; Soil erosion by water; Remote sensing; GIS;

D O I：

10.1109/IGARSS.2010.5649137

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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, (RUSLE)-U-2 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 (RUSLE)-U-2 is good tool to estimate the soil erosion and sediment yield in large river basin scale, but it emphasis the erosion in high degree.

引用

页码：3845 / 3848

页数：4

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