An enhanced description of multiple scattering within the flair model using the photon re-collision probability approach

In this paper, the re-collision probability approach is used to describe the spectrally dependant multiple scattered radiation field of a forest canopy. This new approach is incorporated into the FLAIR model. Such advances to radiative transfer modelling is required to better exploit the potential of Hyperspectral remote sensing for monitoring canopy biochemical indicators, such as chlorophyll concentration and equivalent water content. The validation was performed using the multi-angular data sets obtained by the airborne sensor POLDER during the BOREAS campaigns of 1994. The results establish that this approach is well suited to the FLAIR model. It is also demonstrated that the multiple scattering problem can be parameterized by a limited number of architectural parameters and the leaf scattering coefficient.