DocumentCode
2708504
Title
Rural ecosystem planning in high-resolution remote sensing and GIS environment: Case study of beautiful countryside planning of Wuyi County, China
Author
Li, Yinghao ; Huang, Chudong ; Ye, Xinyue
Author_Institution
Coll. of Civil Eng. & Archit., Zhejiang Univ. of Technol., Hangzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
5
Abstract
Beautiful Countryside Planning has been proposed in Zhejiang Province, China. This paper takes Wuyi County as study area. During the planning stage, high resolution remote sensing and GIS techniques are utilized for the retrieval and analysis of ecosystem and environment information, which is divided into 4 steps. In the first step, vegetation information is retrieved from Landsat TM/ETM+ and ASTER images; meanwhile, the land surface temperature is calculated using the imagery. In the second step, all these information are imported to GIS. In the third step, each type of information is considered as one of the factors affecting the ecosystem and environment, and statistics and spatial overlay are applied using GIS techniques to evaluate the current status of the study area. In the final step, the results of indices calculation are compared with the standards and objectives of Beautiful Countryside, and the planning program is generated accordingly.
Keywords
ecology; geographic information systems; geophysical image processing; image resolution; image retrieval; land surface temperature; town and country planning; vegetation mapping; ASTER image; China; GIS technique; Landsat ETM+ image; Landsat TM image; Wuyi County; Zhejiang Province; beautiful countryside planning program; ecosystem information analysis; environment information analysis; high-resolution remote sensing; land surface temperature; rural ecosystem planning system; vegetation information retrieval; Beautiful Countryside; ecosystem; environment; rural planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980827
Filename
5980827
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