DocumentCode
2438080
Title
Ecological sensitivity analysis in Wuhan city based on RS and GIS
Author
Gao, Chonghui ; Zhang, Jun
Author_Institution
Key Lab. of Geol. Eng. Centre of Guangxi Province, Guilin Univ. of Technol., Guilin, China
fYear
2011
fDate
24-26 June 2011
Firstpage
251
Lastpage
254
Abstract
With the development of society and technology, human beings on the natural environment sphere of influence and strength are constantly increasing. It causes more and more regional ecological environment problems. To protect and improve the ecological environment has become the major issues which the most world countries and areas paid more and more attention to. Ecological sensitivity analysis is the ecological strategy which the world countries and areas widely adopted currently. The spatial ecological sensitivity distribution had been divided in Wuhan city based on RS and GIS; and the distribution was classified into five different grades (best sensitivity region, better sensitivity region, sensitivity region, weaker sensitivity region, non-sensitivity region). On this basis, the corresponding protecting policies were put forward, thus the paper provided scientific foundation for rational urban industry distribution and regional eco-environment protection in future.
Keywords
ecology; geographic information systems; remote sensing; sensitivity analysis; China; GIS; RS; Wuhan city; ecological sensitivity analysis; ecological strategy; protecting policies; rational urban industry distribution; regional ecoenvironment protection; regional ecological environment; spatial ecological sensitivity distribution; Cities and towns; Geographic Information Systems; Humans; Planning; Rivers; Sensitivity analysis; Ecological sensitivity analysis; GIS; RS; Wuhan city;
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.2011.5964262
Filename
5964262
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