A new vegetation index derived from the pattern decomposition method applied to Landsat-7/ETM + images in Mongolia

International Journal of Remote Sensing

Volumn 28, Issue 16, 2007, Pages 3493-3511

  Muramatsu, K ^a   Xiong, Y ^a   Nakayama, S ^a   Ochiai, F ^b   Daigo, M ^c   Hirata, M ^d   Oishi, K ^e   Bolortsetseg, B ^f   Oyunbaatar, D ^f   Kaihotsu, I ^g  

^a NARA WOMEN'S UNIVERSITY   (Japan)

^b TEZUKAYAMA UNIVERSITY   (Japan)

^c DOSHISHA UNIVERSITY   (Japan)

^d OBIHIRO UNIVERSITY OF AGRICULTURE AND VETERINARY MEDICINE   (Japan)

^e KYOTO UNIVERSITY   (Japan)

^f Ministry for Nature and Environment   (Mongolia)

^g HIROSHIMA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; MAPPING; SATELLITE IMAGERY; SOIL MOISTURE; SPECTRUM ANALYSIS;

LAND-COVER; PATTERN DECOMPOSITION METHOD;

VEGETATION;

ADEOS; LAND COVER; LANDSAT; SOIL MOISTURE; SPECTRAL REFLECTANCE; VEGETATION COVER; VEGETATION INDEX;

ASIA; EURASIA; FAR EAST; MONGOLIA;

EID: 34547654308     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160601024200     Document Type: Article

References (34)

1. Adams, J. B., Smith, M. O. and Johnson, P. E. (1986) Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site. Journal of Geophysical Research, 91, pp. 8098-8112.
2. Adams, J. B., Sanol, D. E., Kapos, V., Filho, R. A., Roberts, D. A. and Smith, M. O. (1995) Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment, 52, pp. 137-154.
3. Chase, T. N. (2000) A comparison of regional trends in 1979-1997 depth-averaged troposphere temperatures. International Journal of Climatology, 20, pp. 503-518.
4. Congalton, R. (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
5. Daigo, M., Ono, A., Fujiwara, N. and Urabe, R. (2004) Pattern decomposition method for hyper-multispectral data analysis. International Journal of Remote Sensing, 25, pp. 1153-1166.
6. Elvidge, C. D. and Lyon, R. J. P. (1985) Influence of rock-soil spectral variation on the assessment of green biomass. Remote Sensing of Environment, 17, pp. 265-279.
7. Fujiwara, N., Muramatsu, K., Furumi, S., Hazumi, T. and Ochiai, F. (1996) Pattern decomposition method for satellite data analysis. Journal of the Remote Sensing Society of Japan, 16:3, pp. 17-34.
8. Furumi, S., Hayashi, A., Shiono, Y., Muramatsu, K. and Fujiwara, N. (1997) Vegetation change in the Kansai district by the pattern decomposition method using Landsat/MSS and TM data. Journal of the Remote Sensing Society of Japan, 17:4, pp. 34-49.
9. Furumi, S., Hayashi, A., Muramatsu, K. and Fujiwara, N. (1998) Relation between vegetation vigor and a new vegetation index based on the pattern decomposition method. Journal of the Remote Sensing Society of Japan, 18, pp. 17-34.
10. Garcia-Haro, F. J., Gilabert, M. A. and Melia, J. (1986) Linear spectral mixture modeling to estimate vegetation amount from optical spectral data. International Journal of Remote Sensing, 17, pp. 3373-3400.
11. Heilman, J. L. and Boyd, W. E. (1986) Soil background effects on the spectral response of a three-component rangeland scene. Remote Sensing of Environment, 19, pp. 127-137.
12. Hill, J. and Strum, B. (1991) Radiometric correction of multitemporal Thematic Mapper data for use in agricultural land-cover classification and vegetation monitoring. International Journal of Remote Sensing, 12, pp. 1471-1491.
13. Hirata, M., Kaihotsu, I. and Azzaya, D. (2005) pp. 43-49.
14. Hudson, W. D. and Ramm, C. W. (1987) Correct formulation of the kappa coefficient of agreement. Photogrammetric Engineering and Remote Sensing, 53, pp. 421-422.
15. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X. and Ferreira, L. G. (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, pp. 195-213.
16. Huete, A. R. (1986) Separation of soil-plant mixtures by factor analysis. Remote Sensing of Environment, 19, pp. 237-251.
17. Huete, A. R. (1988) A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, pp. 295-309.
18. Huete, A. R., Jackson, R. D. and Post, D. F. (1985) Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment, 17, pp. 37-53.
19. Huete, A. R., Justice, C. and Liu, H. (1994) Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment, 25, pp. 295-309.
20. Huete, A. R., Liu, H. Q., Batchily, K. and van, D. Leeuwen W. J. (1997) A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59, pp. 440-451.
21. Jacquemoud, S. (1993) Inversion of the PROSPECT+SAIL canopy reflectance model from AVIRIS equivalent spectra: Theoretical study. Remote Sensing of Environment, 44, pp. 281-292.
22. Jacquemoud, S. and Baret, F. (1990) PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment, 34, pp. 75-91.
23. Kaihotsu, I., Yamanaka, T., Koike, T., Oyunbaatard, D. and Davaa, G. (2005) pp. 5-21.
24. Kondoh, A. and Kaihotsu, I. (2003) Preliminary analysis on the relationship between vegetation activity and climatic variation in Mongolia. Journal of Arid Land Studies, 13, pp. 147-151.
25. Kriegler, F. J., Malila, W. A., Nalepla, R. F. and Richardson, W. (1969) Preprocessing transformations and their effects on multispectral recognition. Proceedings of the Sixth International Symposium on Remote Sensing of the Environment, pp. 97-131.
26. Muramatsu, K., Furumi, S., Hayashi, A., Fujiwara, N., Daigo, M. and Ochiai, F. (2000) Pattern decomposition method in the albedo space for Landsat/TM and MSS data analysis. International Journal of Remote Sensing, 21, pp. 99-119.
27. Muramatsu, K., Furumi, S., Hayashi, A., Shiono, Y., Fujiwara, N., Daigo, M. and Ochiai, F. (2000) Pattern decomposition method and a new vegetation index for hyper-multispectral satellite data analysis. Advances in Space Research, 26, pp. 1137-1140.
28. Neilson, R. P. (1995) A model for predicting continental scale vegetation distribution and water balance. Ecological Applications, 5, pp. 362-385.
29. Rayleigh, L. On the light from the sky, its polarization and colour. Philosophical Magazine, 41, pp. 107-120.
30. Roberts, D. A., Smith, M. O. and Adams, J. B. (1993) Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sensing of Environment, 44, pp. 255-269.
31. Rouse, J. W., Haas, R. H., Schell, J. A. and Deering, D. W. (1973) Monitoring vegetation system in the Great Plains with ERTS. Proceedings of the Third ERTS Symposium, pp. 309-317. NASA, Washington, DC
32. Smith, M. O., Ustin, S. U., Adams, J. B. and Gillspie, A. R. (1990) Vegetation in deserts: I A regional measure of abundance from multispectral images. Remote Sensing of Environment, 31, pp. 1-26.
33. Tueller, P. T. and Oleson, S. G. (1989) Diurnal radiance and shadow fluctuations in a cold desert shrub plant community. Remote Sensing of Environment, 29, pp. 1-13.
34. Yu, F., Price, K. P., Ellis, J. and Shi, P. (2003) Response of seasonal vegetation development to climatic variations in eastern central Asia. Remote Sensing of Environment, 87, pp. 42-54.