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Myneni, R.B., S. Maggion, J. Iaquinta, J. L. Privette, N. Gobron, B. Pinty, M. M. Verstraete, D. S. Kimes, and D. L. Williams (1995). Optical remote sensing of vegetation: modelling, caveats and algorithms. Remote Sens. Environ., 51, 169-188.

The state-of-the-art on radiative transfer modeling in vegetation canopies and the application of such models to the interpretation and analysis of remotely sensed
optical data is summarized. Modeling of top-of-the-atmosphere and top-of-the-canopy radiance field is developed as boundary value problems in radiative transfer. The parameterization of the constituentfunctions with simple models and/or empirical data is outlined together with numerical solution methods and examples of results of model validation. Caveats in the assignment of signal characteristics to surface properties are itemized and discussed with example results. Algorithms to estimate surface properties from remote observations are classified as spectral vegetation indices, model inversion, expert systems, neural networks, and genetic algorithms. Their applicability is also discussed.

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Updated: 6-May-2005