DocumentCode :
1803866
Title :
GIS-based soil erosion-prone evaluation of highway domain
Author :
Xingli, Jia ; Jinliang, Xu ; Hongzhi, Yang
Author_Institution :
Key Lab. for Special Area, Chang´´an Univ., Xi´´an, China
Volume :
3
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
2065
Lastpage :
2069
Abstract :
In order to predict the macro trend of soil and water loss within highway domain, the problem of soil erosion is studied. Used the pressure-state-response model and expert advice method, four factors, such as slope, slope length, vegetation coverage, rainfall were selected. The indexes were treated with dimension method, calculated the weight of evaluation indexes on the basis of entropy theory. Then, set up the soil and water loss-prone evaluation model of highway domain. Based on GIS and RS, analyzed the status of soil and water loss of highway domain in Qinghai Province. Used MATLAB tools, calculated the entropy of each index´s value and the entropy weight, and established the thematic map, finished the quantitative analysis of soil and water loss-prone evaluation.
Keywords :
entropy; erosion; geographic information systems; remote sensing; roads; soil; terrain mapping; GIS-based soil erosion-prone evaluation; MATLAB tools; Qinghai Province; entropy theory; expert advice method; highway domain; pressure-state-response model; rainfall; slope length; soil loss; thematic map; vegetation coverage; water loss-prone evaluation model; Agriculture; Application software; Educational institutions; Entropy; Indexes; Vegetation mapping; GIS; evaluation; highway; soil erosion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182377
Filename :
6182377
Link To Document :
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