MISR
abstract
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.