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Proceedings Paper

Yangzhou City land use dynamic monitoring using multi-temporal remote sensing techniques
Author(s): Jianxi Huang; Xianlong Zhu; Feng Mao; Wensheng Zhou; Zhihua Tang
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Paper Abstract

Remote sensing dynamic monitoring of land use could detect the change information of land use and update the current land use map, which is important for rational utilization and scientific management of land resources. This paper focused on the technological procedure of land use dynamic monitoring using multi-temporal remote sensed data, including the process of multi-temporal remote sensed images, the information classification and information extraction from remote sensing imagery, and analysis of land use changes. Based on multi-temporal remote sensed imagery of three periods in 1954, 1998 and 2002, Yangzhou city was chosen as the study area, and extraction after classified method had been used to monitor land use changes during 1954 to 2002. While classifying, the object-oriented method was used to extract features from different temporal imagery. The extraction results showed that the residential land in Yangzhou city increased largely from 9.72 km2 to 21.35km2, and the arable land decreased a great deal from 23.99 km2 to 9.64 km2. Urban expansion was toward to east. Finally, the main driving forces were analyzed, and multivariable linear regression model was used to explore the primary and secondary forces.

Paper Details

Date Published: 3 November 2008
PDF: 10 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440B (3 November 2008); doi: 10.1117/12.812701
Show Author Affiliations
Jianxi Huang, Tsinghua Univ. (China)
Xianlong Zhu, Central South Univ. (China)
Feng Mao, Tsinghua Univ. (China)
Wensheng Zhou, Tsinghua Univ. (China)
Zhihua Tang, Central South Univ. (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Xinhao Wang, Editor(s)

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