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Nonlinear Spectral Mixing in Desert Vegetation

Ray, Terrill W. and Murray, Bruce C. (1996) Nonlinear Spectral Mixing in Desert Vegetation. Remote Sensing of Environment, 55 (1). pp. 59-64. ISSN 0034-4257. doi:10.1016/0034-4257(95)00171-9.

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Linear mixing models are widely used in terrestrial remote sensing, with the errors in these models being often attributed to “nonlinear” mixing. Nonlinear mixing refers to the interaction of light with multiple target materials. Reflectance data from creosote bush in the Manix Basin of the Mojave Desert is used to show the existence and importance of nonlinear mixing in and region vegetation. It shows that the difference in the reflectance spectrum of plants against a soil background and the spectrum of the plant against a dark background is well represented by light that has interacted with both the soil and the plant.

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Additional Information:© 1996 Elsevier Science Inc. Received 31 October 1994; revised 8 July 1995. The authors would like to thank Curtiss Davis at the Naval Research Laboratory for providing the ASD PSII spectrometer used in this study. Christopher Elvidge at the Desert Research Institute and Jim Westphal at Caltech both provided useful advice on the experimental design. Caltech undergraduates Lisa Gaskell and Becky Zaske assisted in the collection of the field data. Substantial funding for this work was provided by NASA Graduate Student Fellowship NGT-5891.
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NASA Graduate Student FellowshipNGT-5891
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Record Number:CaltechAUTHORS:20140410-094854047
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Official Citation:Terrill W. Ray, Bruce C. Murray, Nonlinear spectral mixing in desert vegetation, Remote Sensing of Environment, Volume 55, Issue 1, January 1996, Pages 59-64, ISSN 0034-4257, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44848
Deposited On:10 Apr 2014 17:05
Last Modified:10 Nov 2021 16:57

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