Urban Land Use Change Detection Using Multisensor Satellite Images Project supported by the National Natural Science Foundation of China (NSFC) (No. 30571112).

Pedosphere

Volumn 19, Issue 1, 2009, Pages 96-103

  DENG, Jin Song ^a   WANG, Ke ^a   LI, Jun ^b   DENG, Yan Hua ^c  

^a ZHEJIANG UNIVERSITY   (China)

^b Zhejiang Environmental Scientific Institute   (China)

^c CHANGSHA ENVIRONMENTAL PROTECTION COLLEGE   (China)

Author keywords

change detection; land use; multisensor satellite image; principal component analysis (PCA); urban area

Indexed keywords

ALTERNATIVE AGRICULTURE; CLASSIFICATION; DETECTION METHOD; LAND USE CHANGE; PRINCIPAL COMPONENT ANALYSIS; SATELLITE IMAGERY; URBAN DEVELOPMENT;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 58149102604     PISSN: 10020160     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1002-0160(08)60088-0     Document Type: Article

References (19)

1. Anderson J.R., Hardy E.E., Roach J.T., and Witmer R.E. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper 964 (1976), United States Government Printing Office, Washington
2. Christiane W., Chryssanthi P., and Jachy H. Urban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS. Int. J. Remote Sens. 26 4 (2005) 785-796
3. Congalton R.G. A review of assessing the accuracy of classification of remotely sensed data. Remote Sens. Environ. 37 (1991) 35-46
4. Fung T., and LeDrew E. Application of principal components analysis change detection. Photogram. Eng. Remote Sens. 59 (1987) 991-996
5. Hack B., and Bechdol M. Multisensor remote sensing data for land use/cover mapping. Comput. Environ. Urban Syst. 23 (1999) 53-69
6. Jensen J.R. Introductory Digital Image Processing: A Remote Sensing Perspective (1996), Prentice Hall, Upper Saddle River
7. Jensen J.R., Cowen D.J., Althausen J.D., Narumalani S., and Weatherbee O. An evaluation of the coastwatch change detection protocol in South Carolina. Photogram. Eng. Remote Sens. 59 9 (1993) 1039-1046
8. Ji C.Y., Liu Q.H., Sun D.F., Wang S., Lin P., and Li X.W. Monitoring urban expansion with remote sensing in China. Int. J. Remote Sens. 22 8 (2001) 1 441-1 455
9. Jolliffe I.T. Principal Component Analysis (2002), Springer Press, New York
10. Li X., and Yeh A.G.O. Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta. Int. J. Remote Sens. 19 8 (1998) 1 501-1 518
11. Lu D., Mausel P., Brondizio E., and Moran E. Change detection techniques. Int. J. Remote Sens. 25 2 (2004) 2365-2407
12. Rogan J., and Chen D.M. Remote sensing technology for mapping and monitoring land-cover and land-use change. Prog. Plan. 61 (2004) 301-325
13. Singh A., and Harrison A. Standardized principal component. Int. J. Remote Sens. 6 (1985) 883-896
14. Taylor P. Quantitative Methods in Geography: An Introduction to Spatial Analysis (1977), Houghton Mifflin Company, Boston
15. Yang L.M., George X., Jacqueline M.K., and Brian D. Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogram. Eng. Remote Sens. 59 9 (2003) 1 039-1 046
16. Yang X., and Lo C.P. Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int. J. Remote Sens. 23 9 (2002) 1775-1798
17. Yeh A.G.O., and 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. 2 2 (1997) 193-210
18. Yeh A.G.O., and Li X. Economic development and agricultural land loss in the Pearl River Delta, China. Habitat Int. 23 3 (1999) 373-390
19. Zhao G.X., Lin G., and Warner T. Using thematic mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China. Int. J. Remote Sens. 25 13 (2004) 2509-2522