NDLI: Predicting Soil Erosion Process Based on RS&GIS

Content Provider	IEEE Xplore Digital Library
Author	Peng Wenfu Xu Huixi Xue Wanrong Yang Cunjian
Copyright Year	2010
Abstract	Soil erosion is becoming more and more serious worldwide in recent decades, and remains a major threat to terrestrial ecosystem and global sustainable development. The loss of topsoil through erosion results in a significant loss in productivity. The subsoil remains is likely to be incapable of supporting viable agricultural enterprises. Runoff from eroding landscapes contains sediment and any nutrients, fertilizers or pesticides that were present in the soil. Assessment on soil erosion hazard is essential for soil conservation plans of a mountainous region for sustainable development. The objective of this study was to predicting soil erosion process and mapping soil erosion hazard of Yizi (Rehe district, Sichuan province, P.R.China) following RS(remote sensing) and GIS based on modeling approach using derived soil, land cover and DEM derived terrain slope map and ancillary data of soil characteristics and rainfall as inputs. Integrated predicting approach resulted in five classes of soil erosion hazard from low to high in this study area with numerical values of the Soil Loss Equation (SLE). The results shows that RS and GIS are indeed valuable tools for predicting soil erosion process and soil erosion hazard mapping by integration of soil erosion controlling parameters.
Starting Page	178
Ending Page	181
File Size	627431
Page Count	4
File Format	PDF
ISBN	9781424464678
e-ISBN	9781424464685
DOI	10.1109/APWCS.2010.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Productivity RS Geographic Information Systems Soil erosion Ecosystems Predictive models Spatial analysis Hazards Sediments Sustainable development Fertilizers GIS Data integration Terrain mapping Soil
Content Type	Text
Resource Type	Article

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