Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370428
