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Proceedings Paper

An analysis of urban expansion of Wuhan City based on multi-temporal remote sensing images and GIS
Author(s): Zhongping Zeng; Zonghua Li; Mingjun Peng; Xinghai Lu
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Paper Abstract

Remote sensing technology integrated with GIS (Geographical Information System) is an effective tool for urban expansion and pattern analysis. This paper presents a GIS/Remote sensing-aided procedure for urban space pattern evolving process at a regional scale in Wuhan city, Hubei Province of China, where grow rapidly in the past several decades. Firstly, a series of geospatial dataset was constructed, such as remote sensing images, regionalism maps, transport system maps and land use types maps. By using data of the different temporal TM and ETM+ images, three indices, i. e. Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI) and Soil Adjusted Vegetation Index (SAVI) were calculated. Then, the three index bands were used to compose a new image and a maximum likehood-based supervised classification was carried out. The extraction result from the composed image show that a 90.3% overall accuracy validated by SPOT5 images in the same period. The methods mentioned above correctly identified different land use types in the study area. Secondly, the changing information of land use was then merged into the ETM+ images through layers stacked or image data fusion. The new data fusion image was formed for evolving process analysis of urban pattern. Other data sources, such as regionalism maps, transport system maps, annotation maps, had been also overlay in GIS environment. Six urban expansion areas were distinguished by the analysis of multi-temporal remote sensing images. The results coincide well with the field census data. Finally, the features and characteristics of urban expansion in Wuhan in 1990s were also described.

Paper Details

Date Published: 26 July 2007
PDF: 8 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67523K (26 July 2007); doi: 10.1117/12.761243
Show Author Affiliations
Zhongping Zeng, Huazhong Univ. of Science and Technology (China)
Zonghua Li, Huazhong Univ. of Science and Technology (China)
Mingjun Peng, Wuhan Urban Planning and Land Administration Information Ctr. (China)
Xinghai Lu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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