The NDVI and spectral decomposition for semi-arid vegetation abundance estimation

International Journal of Remote Sensing

Volumn 19, Issue 16, 1998, Pages 3109-3125

  Hurcom, S J ^a   Harrison, A R ^b  

^a Mobile Systems International   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARID REGIONS; BIOMASS; RADIOMETERS; SPECTROMETERS; SPECTRUM ANALYSIS; VEGETATION;

LEAF AREA INDEX; NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI); SPECTRAL DECOMPOSITION METHOD; SPECTRORADIOMETERS;

REMOTE SENSING;

BIOMASS; ESTIMATION METHOD; NDVI; SPECTRAL ANALYSIS; VEGETATION COVER;

EID: 0032216422     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311698214217     Document Type: Article

References (33)

1. Ashcroft, P. M., Catt, J. A., Curran, P. J., Munden, H., and Webster, R., 1990, The relation between forest growth rates and thematic mapper reflectance measurements.International Journal of Remote Sensing, 12, 387-400.
2. AshLey, M. D., and Rea, J., 1975, Seasonal vegetation differences from ERTS imagery.Photogrammetric Engineering and Remote Sensing, 41, 713-719.
3. Best, R. G., and HarLan, J. C., 1985, Spectral estimation of green leaf area index of oats.Remote Sensing of Environment, 17, 27-36.
4. Bouman, B. A. M., 1992, Accuracy of estimating the Leaf Area Index from vegetation indices derived from crop reflectance characteristics, a simulation study.International Journal of Remote Sensing, 13, 3609-3084.
5. Casmir, M. J., Winter, R. P., and GLastzer, B., 1980, Nomadism and remote sensing: animal husbandry and the Sagebush community in a nomad winter in western Afghanistan.Journal of Arid Environments, 3, 231-254.
6. Choudhury, B. J., 1987, Relationships between vegetation indices, radiation, absorption and net photosynthesis evaluated by a sensitivity analysis.Remote Sensing of Environment, 22, 209-233.
7. CLarke, F. J. J., Garforth, F. A., and Parry, D. J., 1983, Goniophotometric and polarisation properties of white reflection standard materials.Lighting Research and Technology, 15, 25-37.
8. Curran, P. J., 1985, Principles of Remote Sensing(London: Longman).
9. Curran, P. J., Dungan, J. L., and GhoLz, H. L., 1992, Seasonal LAI in slash pine estimated with Landsat TM.Remote Sensing of Environment, 39, 3-13.
10. Gamon, J. A., FieLd, C. B., Roberts, D. A., Ustin, S. L., and VaLentini, R., 1993, Functional patterns in an annual grassland during an AVIRIS overflight.Remote Sensing of Environment, 44, 239-253.
11. Girard, C. M., Benoit, M., de Vaubernier, E., and Curran, P. J., 1990, SPOT HRV data to discriminate grassland quality.International Journal of Remote Sensing, 11, 2253-2267.
12. Grant, L., 1987, Diffuse and specular characteristics of leaf reflectance.Remote Sensing of Environment, 22, 309-322.
13. Harrison, A. R., and Garg, P. K., 1991, Multispectral classification for vegetation monitoring in semi-arid landscapes susceptible to soil erosion and desertification. InRemote Sensing for Hazard Monitoring and Disaster Assessment: Marine and Coastal Applications in the Mediterranean Region, edited by E. C. Barrett, K. A. Brown and A. Micallef (Philadelphia: Gordon &Breach), pp. 109-138.
14. Harrison, A. R., MeLia, J., Bastida, J., Gandia, S., GiLabert, M. A., Hurcom, S. J., Lopez Buendia, A., Taberner, M., and Younis, M. T., 1996, Remote sensing of Mediterranean vegetation and surface lithology. InMediterranean Deserti® cation and Land Use, edited by C. J. Brandt and J. B. Thornes (Chichester: Wiley), pp. 493-541.
15. HeLden, U., and Stern, M., 1980, Evaluation of Landsat imagery and digital data for monitoring desertification indicators in Tunisia.Proceedings of the Fourteenth International Symposium on Remote Sensing of Environment, vol. 3 (Ann Arbor, Michigan: Laboratory for Applications of Remote Sensing), pp. 1600-1610.
16. Huete, A. R., 1986, Separation of soil plant spectral mixtures by factor-analysis.Remote Sensing of Environment, 25, 237-251.
17. Huete, A. R., and Escadafal, R., 1990, Assessment of soil-vegetation-senesced materials with spectral mixture modelling: preliminary analysis.Proceedings of the 10th Annual International Geoscience &Remote Sensing Symposium (IGARRS’90), vol. 2 (Washington DC: ISPRS) pp. 1621-1624.
18. Huete, A. R., and Escadafal, R., 1991, Assessment of biophysical soil properties through spectral decomposition techniques.Remote Sensing of Environment, 35, 149-159.
19. 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.
20. Hurcom, S. J., Harrison, A. R., and Taberner, M., 1996, Assessment of biophysical vegetation properties through spectral decomposition techniques.Remote Sensing of Environment, 56, 203-214.
21. Jackson, R. D., SLater, P. N., and Pinter, P. J., 1983, Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres.Remote Sensing of Environment, 13, 187-208.
22. Jensen, J. R., and Hodgson, M. E., 1985, Remote sensing forest biomass: an evaluation using high resolution remote sensor data and Loblolly pine plots.Professional Geographer, 37, 46-56.
23. Justice, C. O., and Townshend, J. R. G., 1981, The use of Landsat data for land cover inventories of Mediterranean lands. InTerrain Analysis and Remote Sensing, edited by J. R. G. Townshend (London: George Allen &Unwin), pp. 56-93.
24. Malinowski, E. R., and Howery, D. G., 1980, Factor Analysis in Chemistry(New York: Wiley).
25. Mmton, E. J., 1987, Principles of field spectroscopy.International Journal of Remote Sensing, 8, 1807-1827.
26. Peterson, D. L., Spanner, M. A., Running, S. W., and Teuber, K. B., 1987, Relationship of thematic mapper simulator data to leaf area index of temperate coniferous forests.Remote Sensing of Environment, 22, 323-341.
27. Pouget, M., Lotric, B., Soussi, A., and Mitmet, A., 1984, Contribution of Landsat data to mapping of land resources in arid regions.Proceedings of the Eighteenth International Symposium on Remote Sensing of Environment, Paris, France(Ann Arbor, Michigan: Laboratory for Applications of Remote Sensing), pp. 1717-1725.
28. Ronin, E. M., and Mmton, E. J., 1991, The UK Natural Environment Research Council Equipment Pool for field spectroscopy (NERC-EPFS).Proceedings of the 5th International Colloquium: Physical Measurements in Remote Sensing, Courchevel, France, ESA SP-319 (Paris: European Space Agency), pp. 864-868.
29. Spanner, M. A., Pierce, L. J., Peterson, D. L., and Running, S. W., 1990, Remote sensing of temperate coniferous forest leaf area index: the influence of canopy closure, understorey vegetation and background reflectance.International Journal of Remote Sensing, 11, 95-111.
30. Thornes, J. B., 1985, The ecology of erosion.Geography Journal, 40, 222-235.
31. Tucker, C. J., 1979, Red and photographic infrared linear combinations for monitoring vegetation.Remote Sensing of Environment, 8, 127-150.
32. Tucker, C. J., Holben, B. N., Elgin, J. H. Jr, and McMurtrey, E. III, 1981, Remote sensing of total dry-matter accumulation in winter wheat.Remote Sensing of Environment, 11, 171-189.
33. Tucker, C. J., Vanpraet, C., Boerwinkel, E., and Gatson, A., 1983, Satellite remote sensing of total dry-matter production in the Senegalese Sahel. Remote Sensing of Environment, 13, 461-474.