Using remote sensing and GIS to estimate the probability of soil erosion rapidly

Author

Weifeng, Zhou ; Bingfang, Wu ; Lei, Zhang ; Qiangzi, Li ; Jianxi, Huang ; Miaomiao, Li

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing

Volume

5

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

3375

Abstract

The process of soil erosion is complex. Among these factors that influence the process of water and soil erosion, vegetation cover and slope steepness are selected. The vegetation cover data in the Upper Basin of Miyun Reservoir have been estimated from normalized difference vegetation index derived from Landsat-7 ETM+ images. Based on the pixel of DEM slope, steepness is computed. Vegetation cover and topographic factor can be combined as a crosstab model. A soil erosion risk map with six grades can be drawn. Using the method the probability and the extent of soil loss can be measured. This information is very useful to watershed manager. This case study describes and assesses soil erosion in the Upper Basin of Miyun Reservoir

Keywords

erosion; geographic information systems; hydrological techniques; reservoirs; soil; topography (Earth); vegetation mapping; DEM pixel; GIS; Landsat-7 ETM+ image; Miyun Reservoir upper basin; crosstab model; digital elevation model; geographic information system; normalized difference vegetation index; remote sensing; slope steepness; soil erosion probability estimation; soil erosion risk map; soil loss; topographic factor; vegetation cover; watershed management; Costs; Geographic Information Systems; Land surface; Loss measurement; Remote sensing; Reservoirs; Satellites; Soil measurements; Surface topography; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370428

Filename

1370428