Multitemporal spectral mixture analysis for Amazonian land-cover change detection

Canadian Journal of Remote Sensing

Volumn 30, Issue 1, 2004, Pages 87-100

  Lu, Dengsheng ^a   Batistella, Mateus ^a,b   Moran, Emilio ^a  

^a INDIANA UNIVERSITY   (United States)

^b EMBRAPA CERRADOS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; ECOLOGY; IMAGE SENSORS; IMAGING TECHNIQUES; MAPPING; MOISTURE; SOIL TESTING; STATISTICAL METHODS; VEGETATION;

LANDCOVER CHANGES; THEMATIC MAPPING (TM);

REMOTE SENSING;

EID: 1642587154     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m03-055     Document Type: Article

References (42)

1. Adams, J.B., Smith, M.O., and Gillespie, A.R. 1993. Imaging spectroscopy: interpretation based on spectral mixture analysis. In Remote Geochemical Analysis, Topics in Remote Sensing 4. Edited by C.M. Pieters and P.A.J. Englert. Cambridge University Press, Cambridge, U.K. pp. 145-166.
2. Adams, J.B., Sabol, D.E., Kapos, V., Filho, R.A., Roberts, D.A., Smith, M.O., and Gillespie, A.R. 1995. Classification of multispectral images based on fractions of endmembers: application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment, Vol. 52, pp. 137-154.
3. Aguiar, A.P.D., Shimabukuro, Y.E., and Mascarenhas, N.D.A. 1999. Use of synthetic bands derived from mixing models in the multispectral classification of remote sensing images. International Journal of Remote Sensing, Vol. 20, pp. 647-657.
4. Bateson, A., and Curtiss, B. 1996. A method for manual endmember selection and spectral unmixing. Remote Sensing of Environment, Vol. 55, pp. 229-243.
5. Batistella, M. 2001. Landscape change and land-use/land-cover dynamics in Rondonia, Brazilian Amazon. CIPEC Dissertation Series, No. 7. Center for the Study of Institutions, Population, and Environmental Change (CIPEC), Indiana University, Bloomington, Ind.
6. Bognola, I.A., and Soares, A.F. 1999. Solos das “glebas 01, 02, 03 e 06” do Municipio de Machadinho d’Oeste, RO. Embrapa Monitoramento por Satelite, Campinas, Brazil. Pesquisa em Andamento, n. 10.
7. Brondizio, E.S., Moran, E.F., Mausel, P., and Wu, Y. 1994. Land use change in the Amazon estuary: patterns of Caboclo settlement and landscape management. Human Ecology, Vol. 22, pp. 249-278.
8. Brondizio, E.S., Moran, E.F., Mausel, P., and Wu, Y. 1996. Land-cover in the Amazon estuary: linking of the Thematic Mapper with botanical and historical data. Photogrammetric Engineering & Remote Sensing, Vol. 62, pp. 921-929.
9. Center for the Study of Institutions, Population, and Environmental Change (CIPEC). 1998. International Forestry Resources and Institutions (IFRI) research program, field manual. CIPEC, Indiana University, Bloomington, Ind.
10. Chavez, P.S., Jr. 1996. Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering & Remote Sensing, Vol. 62, pp. 1025-1036.
11. Cochrane, M.A., and Souza, C.M., Jr. 1998. Linear mixture model classification of burned forests in the eastern Amazon. International Journal of Remote Sensing, Vol. 19, pp. 3433-3440.
12. Coppin, P.R., and Bauer, M.E. 1996. Digital change detection in forest ecosystems withremote sensingimagery. Remote SensingReviews, Vol. 13, pp. 207-234.
13. DeFries, R.S., Hansen, M.C., and Townshend, J.R.G. 2000. Global continuous fields of vegetation characteristics: a linear mixture model applied to multiyear 8 km AVHRR data. International Journal of Remote Sensing, Vol. 21, pp. 1389-1414.
14. Elmore, A.J., Mustard, J.F., Manning, S.J., and Lobell, D.B. 2000, Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. Remote Sensing of Environment, Vol. 73, pp. 87-102.
15. Instituto Nacional de Pesquisas Espaciais (INPE). 2002. Monitoring of the Brazilian Amazon Forest by Satellite 2000-2001. INPE, Brazil.
16. Jensen, J.R. 1996. Introductory digital image processing: a remote sensing perspective. 2nd ed. Prentice Hall, Upper Saddle River, N.J.
17. Lu, D., and Weng, Q. 2004. Spectral mixture analysis of the urban landscapes in Indianapolis with Landsat ETM+ imagery. Photogrammetric Engineering & Remote Sensing. In press.
18. Lu, D., Mausel, P., Brondizio, E., and Moran, E. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing, Vol. 23, pp. 2651-2671.
19. Lu, D., Batistella, M., and Moran, E. 2003a. Integration of vegetation inventory data and Thematic Mapper image for Amazonian successional and mature forest classification. In Proceedings of the ASPRS 2003 Annual Conference, 5-9 May 2003, Anchorage, Alaska. [CD-ROM]. American Society of Photogrammetry and Remote Sensing, Bethesda, Md.
20. Lu, D., Moran, E., and Batistella, M. 2003b. Linear mixture model applied to Amazonian vegetation classification. Remote Sensing of Environment, Vol. 87, No. 4, pp. 456-469.
21. Lu, D., Mausel, P., Brondizio, E., and Moran, E. 2004. Change detection techniques. International Journal of Remote Sensing. In press.
22. Mausel, P., Wu, Y., Li, Y., Moran, E.F., and Brondizio, E.S. 1993. Spectral identification of succession stages following deforestation in the Amazon. Geocarto International, Vol. 8, pp. 61-72.
23. Moran, E.F. 1981. Developing the Amazon. Indiana University Press, Bloomington, Ind.
24. Moran, E.F., Brondizio, E.S., and Mausel, P. 1994a. Secondary succession. Research and Exploration, Vol. 10, pp. 458-476.
25. Moran, E.F., Brondizio, E.S., Mausel, P., and Wu, Y 1994b. Integrating Amazonian vegetation, land use and satellite data. BioScience, Vol. 44, pp. 329-338.
26. Mustard, J.F., and Sunshine, J.M. 1999. Spectral analysis for earth science: investigations using remote sensing data. In Remote Sensing for the Earth Sciences: Manual of Remote Sensing. Edited by A.N. Rencz. John Wiley & Sons, New York. Vol. 3, pp. 251-307.
27. Roberts, D.A., Batista, G.T., Pereira, J.L.G., Waller, E.K., and Nelson, B.W. 1998a. Change identification using multitemporal spectral mixture analysis: applications in eastern Amazonia. In Remote Sensing Change Detection: Environmental Monitoring Methods and Applications. Edited by R.S. Lunetta and C.D. Elvidge, Ann Arbor Press, Ann Arbor, Mich. pp. 137-161.
28. Roberts, D.A., Gardner, M., Church, R., Ustin, S., Scheer, G., and Green, R.O. 1998b. Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models. Remote Sensing of Environment, Vol. 65, pp. 267-279.
29. Roberts, D.A., Numata, I., Holmes, K.W., Batista, G., Krug, T., Monteiro, A., Powell, B., and Chadwick, O. 2002. Large area mapping of land-cover change in Rondonia using multitemporal spectral mixture analysis and decision tree classifiers. Journal of Geophysical Research, Vol. 107(D20), 8073 (LBA 40-1-40-18).
30. Rogan, J., Franklin, J., and Roberts, D.A. 2002. A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery. Remote Sensing of Environment, Vol. 80, pp. 143-156.
31. Rondonia. 1998. Diagnostico socio-economico do Estado de Rondonia e assistencia tecnica para formulagao da segunda aproximagao do zoneamento socio-econdmico-ecologico-Climatologia, v. 1. Governo de Rondonia-PLANAFLORO, Porto Velho, Brazil.
32. Schmink, M., and Wood, C.H. 1992. Contested frontiers in Amazonia. Columbia University Press, New York.
33. Serpico, S.B., and Bruzzone, L. 1999. Change detection. In Information processing for remote sensing. Edited by C.H. Chen. World Scientific Publishing Co., Singapore. pp. 319-336.
34. Settle, J.J., and Drake, N.A. 1993. Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing, Vol. 14, pp. 1159-1177.
35. Shimabukuro, Y.E., Batista, G.T., Melio, E.M.K., Moreira, J.C., and Duarte, V. 1998. Using shade fraction image segmentation to evaluate deforestation in Landsat Thematic Mapper images of the Amazon region. International Journal of Remote Sensing, Vol. 19, pp. 535-541.
36. Singh, A. 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, Vol. 10, pp. 989-1003.
37. Smith, M.O., Ustin, S.L., Adams, J.B., and Gillespie, A.R. 1990. Vegetation in Deserts: I. A regional measure of abundance from multispectral images. Remote Sensing of Environment, Vol. 31, pp. 1-26.
38. Theseira, M.A., Thomas, G., and Sannier, C.A.D. 2002. An evaluation of spectral mixture modeling applied to a semi-arid environment. International Journal of Remote Sensing, Vol. 23, pp. 687-700.
39. Tompkins, S., Mustard, J.F., Pieters, C.M., and Forsyth, D.W. 1997. Optimization of endmembers for spectral mixture analysis. Remote Sensing ofEnvironment, Vol. 59, pp. 472-489.
40. Ustin, S.L., Smith, M.O., Jacquemoud, S., Verstraete M., Govaerts, Y. 1999. Geobotany: vegetation mapping for earth sciences. In Remote sensing for the earth sciences: Manual of remote sensing. Edited by A.N. Rencz. John Wiley & Sons. Vol. 3, pp. 189-233.
41. Yool, S.R., Makaio, M.J., and Watts, J.M. 1997. Techniques for computer-assisted mapping of rangeland change. Journal of Range Management, Vol. 50, pp. 307-314.
42. Yuan, D., Elvidge, C.D., and Lunetta, R.S. 1998. Survey of multispectral methods for land-cover change analysis. In Remote sensing change detection: Environmental monitoring methods and applications. Edited by R.S. Lunetta and C.D. Elvidge. Ann Arbor Press, Chelsea, Mich. pp. 2139.