Abstract
Landuse and land cover change is regarded as a good indicator that represents the impact of human activities on earth’s environment. When the large collection of multi-temporal satellite images has become available, it is possible to study a long-term historical process of land cover change. This study aims to investigate the spatio-temporal pattern and driving force of land cover change in the Pearl River Delta region in southern China, where the rapid development has been witnessed since 1980s. The fast economic growth has been associated with an accelerated expansion of urban landuse, which has been recorded by historical remote sensing images. This paper reports the method and outcome of the research that attempts to model spatio-temporal pattern of land cover change using multi-temporal satellite images. The classified satellite images were compared to detect the change from various landuse types to built-up areas. The trajectories of land cover change have then been established based on the time-series of the classified land cover classes. The correlation between the expansion of built-up areas and selected economic data has also been analysed for better understanding on the driving force of the rapid urbanisation process. The result shows that, since early 1990s, the dominant trend of land cover change has been from farmland to urban landuse. The relationship between economic growth indicator (measured by GDP) and built-up area can well fit into a linear regression model with correlation coefficients greater than 0.9. It is quite clear that cities or towns have been sprawling in general, demonstrating two growth models that were closely related to the economic development stages.
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References
Zhou Q M, Li B L, Kurban A. Trajectory analysis of land cover change in arid environment of China. Int J Remote Sens, 2008, 29: 1093–1107
Statistics Bureau of Guangdong Province. Guangdong Statistical Yearhook-2009. Beijing: China Statistics Press, 2009
Yeh A G O, Li X. An integrated remote sensing and GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China. Int Plan Stud, 1997, 2: 193–209
Li X, Yeh AGO. Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta. Int J Remote Sens, 1998, 19: 1501–1518
Seto K C, Woodcock C E, Song C, et al. Monitoring land-use change in the Pearl River Delta using Landsat TM. Int J Remote Sens, 2002, 23:1985–2004
Seto K C, Fragkias M. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecol, 2005, 20: 871–888
Li X, Yeh AGO. Modelling sustainable urban development by the integration of constrained cellular automata and GIS. Int J Geogr Inf Sci, 2000, 14: 131–152
Weng Q H. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modeling. J Environ Manage, 2002, 64: 273–284
Li X, Yeh AGO. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS. Landscape Urban Plan, 2004, 69: 335–354
Fragkias M, Seto K C. Evolving rank-size distribution of in-tra-metropolitan urban clusters in South China. Comput Environ Urban, 2009, 33: 189–199
Zhou Q M, Hou Q. The broad landuse pattern and landuse change in the last two decades. In: Wong K K, ed. Hong Kong, Macau and the Pearl River Delta: A Geographical Survey. Hong Kong: Hong Kong Educational Publishing Corporation, 2009. 68–98
Yeh A G O, Li X. Economic development and agricultural land loss in the Pearl River Delta, China. Habitat Int, 1999, 23: 373–390
Seto K C, Kaufmann R K. Modeling the drivers of urban land use change in the Pearl River Delta, China: integrating remote sensing with socioeconomic data. Land Econ, 2003, 79: 106–121
Shen J F, Feng Z Q, Wong K Y. Dual-track urbanization in a transitional economy: The case of Pearl River Delta in South China. Habitat Int, 2006, 30: 690–705
Planning Department of the Government of the Hong Kong Special Administrative Region. Hong Kong 2030: Planning Vision and Strategy Consultancy Study to Analyse Broad Landuse Pattern of the Pearl River Delta Region. Report of Planning Department of the Government of the Hong Kong Special Administrative Region, 2003
Coppin P, Jonckheere I, Nackaerts K, et al. Digital change detection methods in ecosystem monitoring: a review. Int J Remote Sens, 2004, 1025:1565–1596
Wu C J, Guo H C. Landuse in China (in Chinese). Beijing: Science Press, 1994. 84–88
Zhou Q M, Li B L, Kurhan A. Spatial pattern analysis of land cover change trajectories in Tarim Basin, northwest China. Int J Remote Sens, 2008, 29: 5495–5509
Liu H P, Zhou Q M. Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. Int J Remote Sens, 2004, 25: 1037–1050
Li B L, Zhou Q M. Accuracy assessment on multi-temporal land cover change detection using a trajectory error matrix. Int J Remote Sens, 2009, 30: 1283–1296
Statistics Bureau of Guangdong Province. Guangdong Statistical Yearhook-1993 (in Chinese). Beijing: China Statistics Press, 1993
Statistics Bureau of Guangdong Province. Guangdong Statistical Yearhook-1999. Beijing: China Statistics Press, 1999
Statistics Bureau of Guangdong Province. Guangdong Statistical Yearhook-2002. Beijing: China Statistics Press, 2002
van Oort P A J. Improving land cover change estimates hy accounting for classification errors. Int J Remote Sens, 2005, 26: 3009–3024
Congalton R G, Green K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (Second Edition). Boca Raton: CRC Press, 2009. 170–171
Sui H G, Zhou Q M, Gong J Y, et al. Processing of multitemporal data and change detection. In: Li Z, Chen J, Baltsavias E, eds. Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book. Leiden: CRC Press, 2008. 227–250
Chen X L, Zhao H M, Li P X, et al. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ, 2006, 104: 133–146
Giineralp B, Seto K C. Environmental impacts of urban growth from an integrated dynamic perspective: A case study of Shenzhen, South China. Global Environ Chang, 2008, 18: 720–735
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Zhou, Q., Sun, B. Analysis of spatio-temporal pattern and driving force of land cover change using multi-temporal remote sensing images. Sci. China Technol. Sci. 53 (Suppl 1), 111–119 (2010). https://doi.org/10.1007/s11431-010-3196-0
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DOI: https://doi.org/10.1007/s11431-010-3196-0