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Proceedings Paper

Urban change detection of integrating remote sensing and GIS: taking Tianjin City for example
Author(s): Dan He; Jianming Cai; Jing Zhou; Zhihua Wang
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Paper Abstract

One Landsat5 TM image of 1993/6/15 and one Landsat7 ETM+ image of 2001/5/12 about Tianjin whose path/row are both122/33 have been used for this study. An integrated RS and GIS approach is presented for change detection. Based on summarizing the methods of change detection and analyzing the disadvantages of traditional approaches, multivariate alteration detection based on the canonical correlation analysis is introduced. Firstly, canonical transform is adopted for the preprocessed images. Then, the sixth component containing the maximal change message is processed and the change message is extractd. Moreover, the binary image is vectorized and the vectorized maps are overlapped with the original images separately. So the change about two time phases is compared. Subsequently, the database is established based on the basic space data such as road maps and maps showing present condition of land utilization and urban planning maps as well as humane and socio-economic data. The results rooting in the image change detection are entered into GIS by vectorization and spatial overlay analyzed with already existent data. Finally, the urban built-up area is extracted and the validated precision is high. The urban expansion areas and dynamic change characteristic and reasons in Tianjin from 1993 to 2001 have been revealed and discussed. Comparing with the Tianjin city master planning (1996-2010), it shows that urban expansion change is coincident with urban planning implementation.

Paper Details

Date Published: 29 December 2008
PDF: 12 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72855F (29 December 2008); doi: 10.1117/12.815602
Show Author Affiliations
Dan He, Institute of Remote Sensing Applications (China)
Jianming Cai, Institute of Geographic Sciences and Natural Resources Research (China)
Jing Zhou, Research Institute of Forestry (China)
Zhihua Wang, China Aero-Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)

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