Title :
Study on spatial variation of soil erosion intensity with RS and GIS
Author :
Zhu Lianqi ; Pan Shaoqi
Author_Institution :
Inst. of Resources & Environ., Henan Univ., Kaifeng, China
Abstract :
This paper collected data of affecting soil erosion by RS and GIS, combined soil erosion model, got the load and degree of soil erosion in Luoning County, and analyzed the relationship between soil erosion and its main affecting factors. The results showed that annual average soil erosion modulus was 2799.29t/km2 and erosion load 6495744t, 61% of Luoning County was tiny or light degree erosion, while the serious eroded area which mainly concentrated in the western only occupied 20% of the area, but contributed 57.64% of sediment of the area and need more protection. There is a basically positive correlation between soil erosion and slope; midding and more serious erosion were increased in different land use such as waters, farmland, construction land, forest and unused land.
Keywords :
erosion; geographic information systems; soil; GIS; RS; soil erosion intensity; spatial variation; Educational institutions; Electronic mail; Geographic Information Systems; Load modeling; Protection; Remote sensing; Satellites; Sediments; Soil; Water resources; GIS; Luoning County; RS; soil erosion intensity;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536351