The invertibility of an accurate discrete ordinates canopy reflectance
model is investigated through a series of experiments. Effects of dif
ferent canopy types, noise levels, spectral ranges, and sampling geome
tries [including the NOAA Advanced Very High Resolution Radiometer (AV
HRR) and the proposed Multi-angle Imaging SpectroRadiometer (MISR) sat
ellite sampling schemes] are considered. Both error-free synthetic bid
irectional reflectance data and empirical field reflectance data are u
tilized. Results suggest that the model can retrieve soil and canopy p
arameters with reasonable accuracy in most cases, and surface state pa
rameters (absorbed radiation, spectral albedo and photosynthetic effic
iency) with high accuracy in all cases. The efficiency of several comm
only used optimization algorithms is also assessed, and a model sensit
ivity study is conducted.