Abstract

Attema and Ulaby (1978) proposed the cloud model to predict the microwave backscattering properties of vegetation. This paper describes a modification in which the biophysical properties and microwave properties of vegetation are related at the level of the individual scatterer (e.g., the leaf or the stalk) rather than at the level of the aggregated canopy (e.g., the green leaf area index). Assuming that the extinction cross section of an average leaf was proportional to its water content, that a power law relationship existed between the backscattering cross section of an average green corn leaf and its area, and that the backscattering coefficient of the surface was a linear function of its volumetric soil moisture content, the author found that the explicit inclusion of the effects of corn leaf size in the model led to an excellent fit ( r 2 of 0.93) between the observed and predicted backscattering coefficients. Also, an excellent ( r 2 of 0.98) power law relationship existed between the backscattering cross section of a corn leaf and its area.

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