Improved Semi-Arid Community Type Differentiation With the NOAA AVHRR via Exploitation of the Directional Signal.

Presents a study which used a linear semiempirical kernel-driven bidirectional reflectance distribution function model to examine the utility of the directional signal in community and cover type differentiation over semi-arid canopies. Description of a community type differentiation; Main challenges for monitoring semi-arid grasslands with remote sensing; Comparison between the abilities of the candidate data sets to identify the classes of interest.