Land-use/land-cover change detection using improved change-vector analysis

Photogrammetric Engineering and Remote Sensing

Volumn 69, Issue 4, 2003, Pages 369-379

  Chen, Jin ^a   Gong, Peng ^b,c   He, Chunyang ^a   Pu, Ruiliang ^b,c   Shi, Peijun ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LAND USE; REMOTE SENSING; VECTORS;

CHANGE VECTOR ANALYSIS (CVA);

PHOTOGRAMMETRY;

DETECTION METHOD; IMAGE ANALYSIS; LAND COVER; LAND USE CHANGE; REMOTE SENSING;

EID: 0242500422     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.69.4.369     Document Type: Article

References (38)

1. Biging, Gregory S., David R. Colby, and Russell G. Congalton, 1998. Sampling system for change detection accuracy assessment, Remote Sensing Change Detection: Environmental Monitoring Methods and Applications (Ross S. Lunetta and Christopher D. Elvidge, editors), Sleeping Bear Press, Inc., New York, N.Y., pp.281-308.
2. Bruzzone, L., and D.F. Prieto, 2000. Automatic analysis of the difference image for unsupervised change detection, IEEE Transactions on Geoscience and Remote Sensing, 38(3):1171-1182.
3. Byrne, G.F., P.F. Crapper, and K.K. Mayo, 1980. Monotoring land-cover by principal component analysis of multitemporal Landsat data, Remote Sensing of Environment, 10:175-184.
4. Cohen, W.B., and M. Fiorella, 1998. Comparison of methods for detecting conifer forest change with Thematic Mapper imagery, Remote Sensing Change Detection: Environmental Monitoring Methods and Applications (Ross S. Lunetta and Christopher D. Elvidge, editors), Sleeping Bear Press, Inc., New York, N.Y., pp. 89-102.
5. Colwell, J., and F. Weber, 1981. Forest change detection, Fifteenth International Symposium on Remote Sensing of Environment, 11-15 May, Ann Arbor, Michigan, pp. 65-99.
6. Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, 37:35-46.
7. Coppin, P.R., and M.E. Bauer, 1996. Digital change detection in forest ecosystems with remote sensing imagery, Remote Sensing Reviews, 13:207-234.
8. Crist, J.B., and R.C. Cicone, 1984. A physically-based transformation of thematic mapper data - the TM tasseled cap, IEEE Transactions on Geoscience and Remote Sensing, 22(3):256-263.
9. Dai, X., and S. Khorram, 1998. The effects of image misregistration on accuracy of remotely sensed change detection, IEEE Transactions on Geoscience and Remote Sensing, 36(5):1566-1577.
10. Ding, Y., C.D. Elvidge, and Ross S. Lunetta., 1998. Survey of multispectral methods for land cover change detection analysis, Remote Sensing Change Detection: Environmental Monitoring Methods and Applications (Ross S. Lunetta and Christopher D. Elvidge, editors), Sleeping Bear Press, Inc., New York, N.Y., pp. 21-39.
11. Elvidge, C.D., and Y. Ding, 1995. Relative radiometric normalization of Landsat multispectral scanner (MSS) data using an automatic scattergram-controlled regression, Photogrammetric Engineering & Remote Sensing, 61:1015-1026.
12. Fung, T., and E. LeDrew, 1988. The determination of optimal threshold levels for change detection using various accuracy indices, Photogrammetric Engineering & Remote Sensing, 54:1449-1454.
13. Gong, P., 1993. Change detection using principal component analysis and fuzzy set theory, Canadian Journal of Remote Sensing, 19(1):22-29.
14. Gong, P., E.F. LeDrew, and J.R. Miller, 1992. Registration noise reduction in difference images for change detection, International Journal of Remote Sensing, 13(4):773-779.
15. Hall, F., D. Strebel, J. Nickeson, and S. Goetz, 1991. Radiometric rectification: Toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment, 35(1):11-27.
16. Hoffmann, B., 1975. About Vectors, Dover Publications, Inc., New York, N.Y., 134 p.
17. Howarth, P.J., and G.M. Wickware, 1981. Procedures for change detection using Landsat digital data, International Journal of Remote Sensing, 2:277-291.
18. Jensen, J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Perspective, Second Edition, Prentice Hall, Upper Saddle River, New Jersey, 316 p.
19. Jensen, J.R., K. Rutchey, M.S. Koch, and S. Narumalani, 1995. Inland wetland change detection in the Everglades Water Conservation Area 2A using a time series of normalized remotely sensed data, Photogrammetric Engineering & Remote Sensing, 61:199-209.
20. Johnson, R.D., and E.S. Kasischke, 1998. Change vector analysis: A technique for the multispectral monitoring for land cover and condition, International Journal of Remote Sensing, 19:411-426.
21. Lambin, E.F., and A.H. Strahler, 1994a. Change vector analysis in multi-temporal space: A tool to detect and categorize land-cover change processes using high temporal-resolution satellite data, Remote Sensing of Environment, 48:231-244.
22. _, 1994b. Indicators of land-cover change for change vector analysis in multitemporal space at coarse spatial scales, International Journal of Remote Sensing, 15:2099-2119.
23. Li, X., and A.G.O. Yeh, 1998. 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, 19:1501-1518.
24. Malila, W.A., 1980. Change vector analysis: an approach for detecting forest changes with Landsat, Proceedings of the 6th Annual Symposium on Machine Processing of Remotely Sensed Data, 03-06 June, Purdue University, West Lafayette, Indiana, pp. 326-335.
25. Mas, J.F., 1999. Monitoring land-cover changes: a comparison of change detection techniques, International Journal of Remote Sensing, 20:139-152.
26. Michalek, J.L., T.W. Wagner, J.J. Luczkovich, and R.W. Stoffle, 1993. Multispectral change vector analysis for monitoring coastal marine environments, Photogrammetric Engineering & Remote Sensing, 59:381-384.
27. Morisette, J.T., and S. Khorram, 2000. Accuracy assessment curves for satellite-based change detection, Photogrammetric Engineering & Remote Sensing, 66:875-880
28. Nelson, R.F., 1983. Detecting forest canopy change due to insect activity using Landsat MSS, Photogrammetric Engineering & Remote Sensing, 49:1303-1314.
29. Richards, J.A., and X. Jia, 1999. Remote Sensing Digital Image Analysis, Third Edition, Springer-Verlag, Berlin, Heidelberg, Germany, 363 p.
30. Singh, A., 1986. Change detection in the tropical forest of northeastern India using Landsat, Remote Sensing and Tropical Land Management (M.J. Eden and J.T. Parry, editors), Chichester Wiley Press, London, nited Kingdom, pp. 237-254.
31. _, 1989. Digital change detection techniques using remotely-sensed data, International Journal of Remote Sensing, 10:989-1003.
32. Smits, Paul C.; and Alessandro Annoni, 2000, Toward specification-driven change detection, IEEE Transactions on Geoscience and Remote Sensing, 38(3):1484-1488.
33. Sohl, T.L., 1999. Change analysis in the United Arab Emirates: An investigation of techniques, Photogrammetric Engineering & Remote Sensing, 65:475-484.
34. Turner II, B.L, D. Skole, Steven Sanderson, Gunther Fischer, Louise Fresco, and Rik Leemans, 1995. Land-Use and Land-Cover Change Science/Research Plan, IGBP Report No. 35, URL: http://www.geo.ucl.ac.be/LUCC/scienceplan/lucc.html.
35. Virag, L.A., and J.E. Colwell, 1987. An improved procedure for analysis of change in Thematic Mapper image-pairs, Proceedings of the Twenty-First International Symposium on Remote Sensing Environment, 26-30 October, Ann Arbor, Michigan, pp. 1101-1110.
36. Weismiller, R.A., S.Y. Kristof, D.K. Scholz, P.E. Anuta, and S.A. Momin, 1977. Change detection in coastal zone environments, Photogrammetric Engineering & Remote Sensing, 43:1533-1539.
37. William, E.R., B.M. William, and B.L. Turner II, 1994. Modeling land use and land cover as part of global environmental change, Climatic Change, 28:45-64.
38. Zhan, X., R. Defries, J.R.G. Townshend, C. Dimiceli, M. Hansen, C. Huang, and R. Sohlbert, 2000. The 250m global land cover change product from the Moderate Resolution Imaging Spectroradiometer of NASA's Earth Observing System, International Journal of Remote Sensing, 21:1433-1460.