Detecting the change of Lianyungang during the period of 1987-2007 using remote sensing

Haiying Li; Hongchun Peng; Meiping Sun; Ji Liang

doi:10.1117/12.829889

7 October 2009 Detecting the change of Lianyungang during the period of 1987-2007 using remote sensing

Haiying Li, Hongchun Peng, Meiping Sun, Ji Liang

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 747824 (2009) https://doi.org/10.1117/12.829889
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

Lianyungang is one of the first 14 Chinese coastal cities opening to the outside world in 1984, she had developed about 20 years and has many changes in urban size or structure. And remote sensing has been an important technology for monitoring city development and growth. So, this paper presented the developments and growths of Lianyungang using TM data. Through the processing of three years TM data of 1987, 2000 and 2007 and extraction of urban information, the results showed that three districts and four countries of Lianyungang had great change in size and shape. The results showed that the changes of all county urban scale was relatively small from 1987 to 2000, and rapid sprawled from 2000 to 2007; and they sprawled in different direction. The counties except Lianyungang city had the same development pattern which was centered on old city zone and spread to the surrounding area. The development mode of Lianyungang city was different with them. It was a ribbon mode from west to east, namely from Haizhou, Xinpu districts to Lianyun districts. The status of developments of all districts and counties was related to the needs of economic development, traffic, policy and so on. At present Lianyungang obtains a lot of attention and support from the state and Jiangsu Province, and has changes everyday.

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Haiying Li, Hongchun Peng, Meiping Sun, and Ji Liang "Detecting the change of Lianyungang during the period of 1987-2007 using remote sensing", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 747824 (7 October 2009); https://doi.org/10.1117/12.829889

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KEYWORDS

Remote sensing

Image registration

Quantitative analysis

Image analysis

Roads

Digital imaging

Environmental monitoring

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