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Nonlinear spectral mixing in desert vegetation

Remote Sensing of EnvironmentPublished 1 January 1996
Terrill W. Ray, Bruce C. Murray
Citations211
SJR quartileQ1
SJR score3.97
SNIP3.28

Abstract

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.

Keywords

Earth and Planetary SciencesAgricultural and Biological SciencesEnvironmental Science