Linear spectral mixture modelling to estimate vegetation amount from optical spectral data

International Journal of Remote Sensing

Volumn 17, Issue 17, 1996, Pages 3373-3400

  Garcia Haro F J ^a   Gilabert, M A ^a   Melia J ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; INFRARED RADIATION; LIGHT REFLECTION; MATHEMATICAL MODELS; MONITORING; PLANTS (BOTANY); SOILS;

SPECTRAL MIXTURE MODELING; VEGETATION;

REMOTE SENSING;

BIOPHYSICAL PARAMETERS; MODELLING; NDVI; REFLECTANCE; REMOTE SENSING; SOIL BACKGROUND; SPECTRAL DATA; SPECTRAL MIXTURE; VEGETATION COMPOSITION; VEGETATION STRUCTURE;

EID: 0030292138     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608949157     Document Type: Article

References (33)

1. Adams, J. B., Smith, M. O., and Johnson, P. E., 1986, Spectral mixture modelling: a new analysis of rock and soil types at the Viking Lander 1 Site. Journal of Geophysical Research, 91, 8089-8112.
2. Baret, F., and Guyot, G., 1991, Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 161-173.
3. Bausch, W. C, 1993, Soil background effects on reflectance-based crop coefficients for corn. Remote Sensing of Environment, 36, 213-222.
4. Blunt, G., Smith, M. O., Adams, J. B., Greeley, R., and Christensen, P. R., 1990, Regional aerolian dynamics and sand mixing in the Gran Desierto: evidence from Landsat Thematic Mapper images. Journal of Geophysical Research, 95, 15463-15482.
5. Borel, C. C., and Gerstl, S. A., 1994, Nonlinear spectral mixing models for vegetation and soil surfaces. Remote Sensing of Environment, 36, 13-44.
6. Elvidge, C. D., Chem, Z., and Groeneveld, D. P., 1993, Detection of trace quantities of green vegetation in 1990 AV1R1S data. Remote Sensing of Environment, 44, 271-279.
7. Franklin, J., Duncan, J., and Turner, D. L., 1993, Reflectance of vegetation and soil in Chihuahuan desert plant communities from ground radiometry using SPOT wavebands. Remote Sensing of Environment, 46, 291-304.
8. Frodesen, A. G., Skjeggestad, O., and Tofte, H., 1979, Probability and Statistics in Particle Physics (Norway: Universitetsforlaget).
9. García-Haro, F. J., 1994, Inversión de un modelo lineal de reflectividad para la extracción de parámetros relacionados con la vegetación en paisajes semi-áridos. MSc thesis. Universität de Valencia, Spain.
10. Gilarert, M. A., Segarra, D., and Meliá, J., 1994, Simulation of citrus orchard reflectance by means of a geometrical canopy model. International Journal of Remote Sensing, 15, 2559-2582.
11. Huete, A. R., 1986, Separation of soil-plant spectral mixtures by factor analysis. Remote Sensing of Environment, 19, 237-251.
12. Huete, A. R., and Escadafal, R., 1991, Assessment of biophysical soil properties through spectral decomposition techniques. Remote Sensing of Environment, 35, 149-159.
13. 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, 37-53.
14. 4 reference panels. Remote Sensing of Environment, 40, 231-239.
15. Johnson, P. E., Smith, M. O., and Adams, J. B., 1985, Quantitative analysis of planetary reflectance spectra with principal component analysis. Journal of Geophysical Research, 90, 805-810.
16. Knorr, F. J., and Futrell, J. H., 1979, Separation of mass spectra of mixtures by factor analysis. Analytical Chemistry, 51, 1236-1241.
17. Malinkowski, E. R., and Howery, D. G., 1977a, Theory of error in factor analysis. Analytical Chemistry, 49, 606-612.
18. Malinkowski, É. R., and Howery, D. G., 1977b, Determination of the number of errors and the experimental error in a data matrix. Analytical Chemistry, 49, 612-617.
19. Markiiam, B. L., and Barker, J. L., 1985, Spectral characterization of the Landsat Thematic Mapper sensors. International Journal of Remote Sensing, 4, 697-716.
20. MEDALUS II Final report. 1995. Internal report (London: MEDALUS Project office)
21. Minuit Manual. 1992. CERN Program Library. Reference Manual (Switzerland: Computing and Network Division).
22. Pech, R. P., Graetz, R. D., and Davis, A. W., 1986, Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland. International Journal of Remote Sensing, 7, 389-403.
23. Rameal, B., Lacaze, B., and Winkel, T, 1990, Testing an area-weighted model for albedo or surface temperature of mixed pixels in Mediterranean woodlands. International Journal of Remote Sensing, 11, 1495-1499.
24. Ritter, G. L., Lowry, S. R., Isenhour, T. L., and Wilkins, C. L., 1976, Factor analysis of the mass spectra of mixtures. Analytical Chemistry, 47, 1301-1308.
25. 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, 255-269.
26. Rozett, R. W., and Petersen, E. M., 1975, Methods for factor analysis of mass spectra. Analytical Chemistry, 49, 612-617.
27. Rummel, J. P., 1970, Applied Factor Analysis (Evanston: Northwestern University Press).
28. Settle, J. J., and Drake, N. A., 1993, Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing, 14, 1159-1177.
29. Sihmabukuro, Y. E., and Smith, A. J., 1991, The lest-squares mixing models to generate fraction images derived from remote sensing multispectra] data. I.E.E.E. Transactions of Geoscience and Remote Sensing, 29, 16-20.
30. Slater, P. N., Biggar, S. F., Holm, R. G., Mao, R. D., Moran, M. S., Palmer, J. M., and Yuan, B., 1987, Reflectance and radiance-based methods for in-flight absolute calibration of multispectral sensors. Remote Sensing of Environment, 22, 11-37.
31. Smith, M. O., Susan, L. U., Adams, J. B., and Gillespie, A. R., 1990, Vegetation in deserts: 1. A regional measure of abundance from multispectral images. Remote Sensing of Environment, 31, 1-26.
32. Thomson, L. J., and Salisbury, J. W., 1993, The mid-infrared reflectance of mineral mixtures (7-14mm). Remote Sensing of Environment, 17, 37-53.
33. Welles, J. M., and Norman, J. M., 1991, Instruments for indirect measurement of canopy architecture. Agronomy Journal, 83, 818-825.