Urban-used land change (1998-2003) and its spatial distribution of Shenzhen, China: detected by landsat TM/EMT data

Shenzhen is one of the cities with the most rapid urbanization speed in past 20 years in the world. The study of urbanization in Shenzhen can provide valuable information for sustainable development to the other cities in Pearl River Delta areas, in China and even in the world. Although many previous studies demonstrated the land-use changes by remote sensing, the results tire not systematic due to the different boundaries and time durations. For researching the urban sprawl, this paper extracted the urban-used land by Landsat TM/ETM data, detected the urban land change from 1998 to 2003 and analyzed their spatial distributions and the economic implications.

[1]  K. Seto,et al.  Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data , 2003, Land Economics.

[2]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[3]  Philip J. Howarth,et al.  Landsat digital enhancements for change detection in urban environments , 1983 .

[4]  Li-hua Xia,et al.  Measurement of Rapid Agricultural Land Loss in the Pearl River Delta with the Integration of Remote Sensing and GIS , 1998 .

[5]  Karen C. Seto,et al.  Change detection, accuracy, and bias in a sequential analysis of Landsat imagery in the Pearl River Delta, China: econometric techniques , 2001 .

[6]  Qihao Weng.  Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. , 2002, Journal of environmental management.

[7]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta, China , 1999 .

[8]  David Banister,et al.  Sustainable Cities: Transport, Energy, and Urban Form , 1997 .

[9]  B. Prenzel.  Remote sensing-based quantification of land-cover and land-use change for planning , 2004 .

[10]  Qihao Weng.  A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China , 2001 .

[11]  C. Woodcock,et al.  Monitoring land-use change in the Pearl River Delta using Landsat TM , 2002 .

[12]  D. Toll,et al.  Detecting residential land use development at the urban fringe , 1982 .

[13]  E. LeDrew,et al.  Application of principal components analysis to change detection , 1987 .

[14]  C. Woodcock,et al.  Landsat reveals China's farmland reserves, but they're vanishing fast , 2000, Nature.

[15]  Eric F. Lambin,et al.  Modelling and monitoring land-cover change processes in tropical regions , 1997 .

[16]  M. Ridd,et al.  A Comparison of Four Algorithms for Change Detection in an Urban Environment , 1998 .

[17]  Li-hua Xia,et al.  Technical Note. A method to improve classification with shape information , 1996 .

[18]  Philip J. Howarth,et al.  Procedures for change detection using Landsat digital data , 1981 .

[19]  Giles M. Foody,et al.  On the compensation for chance agreement in image classification accuracy assessment, Photogram , 1992 .

[20]  G. Bocco,et al.  Predicting land-cover and land-use change in the urban fringe A case in Morelia city, Mexico , 2001 .

[21]  Anthony Gar-On Yeh,et al.  Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS , 2004 .

[22]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta , 1997 .

[23]  K. Rutchey,et al.  Inland Wetland Change Detection in the Everglades Water Conservation Area 2A Using a Time Series of Normalized Remotely Sensed Data , 1995 .

[24]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[25]  J. Mas.  Monitoring land-cover changes: A comparison of change detection techniques , 1999 .

[26]  J. R. Jensen,et al.  An evaluation of the CoastWatch change detection protocol in South Carolina , 1993 .

[27]  Li Si-ming,et al.  China's open door policy and urbanization in the Pearl River Delta region , 1990 .

[28]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[29]  Xia Li,et al.  Sustainable Land Development Model for Rapid Growth Areas Using GIS , 1998, Int. J. Geogr. Inf. Sci..