DocumentCode :
2459980
Title :
Sensitivity analysis of region landslide vegetation factor based on the remote sensing and geography information system
Author :
Cao, Hongyang ; Xu, Yingjiao ; Bian, Yadong
Author_Institution :
Dept. of Prospecting Tech., Shijiazhuang Univ. of Econ., Shijiazhuang, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
4397
Lastpage :
4399
Abstract :
Influence factors sensitivity analysis is a key problem for region landslide field, vegetation coverage is an important one of all factors. The type of vegetation coverage was classified by remote sensing supervised classification technology, and landslides were interpreted by the three dimension image of remote sensing. The internal relation between landslides and the type of vegetation coverage was revealed by spatial analysis method of geography information system. Contribution rate of every coverage factor for the landslide was obtained. The conclusion gives the support for the policy of conversion of cropland to forest, and lays a foundation for the research of region landslides prediction. It shows that the technology of remote sensing and geography information system have a special advantage for the sensitivity analysis of region landslides influence factors.
Keywords :
geographic information systems; geomorphology; vegetation mapping; dimension image; geography information system; influence factors sensitivity analysis; region landslide field; region landslide vegetation; region landslides influence factors; region landslides prediction; remote sensing supervised classification technology; vegetation coverage; Geographic Information Systems; Geography; Information systems; Remote sensing; Sensitivity analysis; Terrain factors; Vegetation mapping; geography information system; region landslide; remote sensing; vegetation factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965306
Filename :
5965306
Link To Document :
بازگشت