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Proceedings Paper

Simulating urban land cover changes at sub-pixel level in a coastal city
Author(s): Xiaofeng Zhao; Lei Deng; Huihui Feng; Yanchuang Zhao
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Paper Abstract

The simulation of urban expansion or land cover changes is a major theme in both geographic information science and landscape ecology. Yet till now, almost all of previous studies were based on grid computations at pixel level. With the prevalence of spectral mixture analysis in urban land cover research, the simulation of urban land cover at sub-pixel level is being put into agenda. This study provided a new approach of land cover simulation at sub-pixel level. Landsat TM/ETM+ images of Xiamen city, China on both the January of 2002 and 2007 were used to acquire land cover data through supervised classification. Then the two classified land cover data were utilized to extract the transformation rule between 2002 and 2007 using logistic regression. The transformation possibility of each land cover type in a certain pixel was taken as its percent in the same pixel after normalization. And cellular automata (CA) based grid computation was carried out to acquire simulated land cover on 2007. The simulated 2007 sub-pixel land cover was testified with a validated sub-pixel land cover achieved by spectral mixture analysis in our previous studies on the same date. And finally the sub-pixel land cover of 2017 was simulated for urban planning and management. The results showed that our method is useful in land cover simulation at sub-pixel level. Although the simulation accuracy is not quite satisfactory for all the land cover types, it provides an important idea and a good start in the CA-based urban land cover simulation.

Paper Details

Date Published: 23 October 2014
PDF: 7 pages
Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 924505 (23 October 2014); doi: 10.1117/12.2066656
Show Author Affiliations
Xiaofeng Zhao, Institute of Urban Environment (China)
Lei Deng, Institute of Urban Environment (China)
Huihui Feng, Nanjing Institute of Geography and Limnology (China)
Yanchuang Zhao, Institute of Urban Environment (China)

Published in SPIE Proceedings Vol. 9245:
Earth Resources and Environmental Remote Sensing/GIS Applications V
Ulrich Michel; Karsten Schulz, Editor(s)

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