Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta

International Journal of Remote Sensing

Volumn 19, Issue 8, 1998, Pages 1501-1518

  Li, X ^a   Yeh, A G O ^b  

^a GUANGZHOU INSTITUTE OF GEOGRAPHY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; LAND USE; STATISTICAL METHODS; URBAN PLANNING;

MULTI TEMPORAL IMAGES; PRINCIPAL COMPONENT ANALYSIS;

REMOTE SENSING;

IMAGE ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; PRINCIPLA COMPONENT ANALYSIS; PRINCIPLE COMPONENT ANALYSIS; REMOTE SENSING; URBAN PLANNING; URBANISATION; URBANIZATION;

CHINA; PEARL RIVER DELTA;

EID: 3643128071     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311698215315     Document Type: Article

References (25)

1. A Dams, J. B., Sabol, D. E., Kapos, Vfilho R., Aroberts, D., Asmith, M. O., and Gillespie, A. R., 1995, Classification of multispectral images based on fractions of endmembers: application to l and-cover change in the Brazilian Amazon. Remote Sensing of Environment, 52, 137-154.
2. Campbell, J. B., 1987, Introduction to Remote Sensing (New York: The Guilford Press).
3. Cohen, J., 1960, A coefficient of agreement for nominal scale. Educational and Psychological Measurement, 20, 37-46.
4. Congalton, R. G., 1991, A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
5. Eastman, J. R., and Fulk, M., 1993, Long sequence time series evaluation using st andardized principle components. Photogrammetric Engineering and Remote Sensing, 59, 991-996.
6. Fung, T., and Ledrew, E., 1987, Application of principal components analysis change detection. Photogrammetric Engineering and Remote Sensing, 53, 1649-1658.
7. Fung, T., and Led Rew, E., 1988, The determination of optimal threshold levels for change detection using various accuracy indices. Photogrammetric Engineering and Remote Sensing, 54, 1449-1454.
8. Fung, T., and Zhang, Q., 1989, L and use change detection and identification with L andsat digital data in the Kitchener-Waterloo area. In Remote Sensing and Methodologies of L and Use Change Analysis edited by C. R. Bryant, E. F. LeDrew, C. Marois and F. Cavayas (Waterloo: University of Waterloo), pp 135-153.
9. Hord, R. M., and Brooner, W., 1976, Land use map accuracy criteria. Photogrammetric Engineering and Remote Sensing, 42, 671-677.
10. Howarth, P. J., 1986, Landsat digital enhancements for change detection in urban environment. Remote Sensing of Environment, 13, 149-160.
11. Howarth, P. J., and Wickware, G. M., 1981, Procedures for change detection using l andsat digital data. International Journal of Remote Sensing, 2, 277-291.
12. Jensen, J. R., 1986, Digital Image Processing: a Remote Sensing Perspective (Englewood Cliffs: Prentice-Hall).
13. Jensen, J. R., 1996, Introductory Digital Image Processing: A Remote Sensing Perspective (Saddle River: Prentice-Hall, Inc.).
14. Jensen, J. R., Cowen, D. J., Althausen, J. D., Narumalani, S., and Weatherbee, O., 1993, An evaluation of the Coastwatch Change Detection Protocol in South Carolina. Photogrammetric Engineering and Remote Sensing, 59, 1039-1046.
15. Jensen, J. R., Rutchey, K., Koch, M. S., and Narumalani, S., 1995, Inl and wetl and change detection in the Everglades Water Conservation Area 2A using a time series of normalized remotely sensed data. Photogrammetric Engineering and Remote Sensing, 61, 199-209.
16. Johnson, D. D., and Howarth, P. J., 1989, The effects of spatial resolution on l and cover/l and use theme extraction from airborne digital data. In Remote Sensing and Methodologies of Land Use Change Analysis, edited by C. R. Bryant. E. F. LeDrew, C. Marois and F. Cavayas (Waterloo: University of Waterloo), pp. 117-134.
17. Martin, L. R. G., 1986, Change detection in the urban fringe employing landsat satellite imagery. Plan Canada, 26, 182-190.
18. Martin, L. R. G., 1989, An evaluation of l andsat-based change detection methods applied to the rural-urban fringe. In Remote Sensing and Methodologies of Land Use Change Analysis, edited by C. R. Bryant, E. F. LeDrew, C. Marois and F. Cavayas (Waterloo: University of Waterloo). pp. 101-116.
19. Nelson, R. F., 1983, Detecting forest canopy changes due to insect activity using Landsat MSS Photogrammetric Engineering and Remote Sensing, 49, 1303-1314.
20. Pilon, P. G., Howarth, P. J., and Bullock, R. A., 1988, An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing, 54, 1709-1716.
21. Richards, J. A., 1993, Remote Sensing Digital Image Analysis: An Introduction (New York: Springer-Verlag).
22. Singh, A., and Harrison, A., 1985, Standardized principal components. International Journal of Remote Sensing, 6, 883-896.
23. Taylor, P., 1977, Quantitative Methods in Geography: An Introduction to Spatial Analysis (Boston, Massachusetts: Houghton Mifflin Company).
24. Toll, D. L., Royal, J., and Davis, J. B., 1980, Urban area update procedures using landsat data Proceedings of American Society of Photogrammetry, (Falls Church, VA: American Society of Photogrammetry), pp.1-17.
25. Yeh, A. G. O., and Li, X., 1997, 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. International Planning Studies, 2, 193-210.