Polarimetric and multifrequency SAR data are used to construct a multi-tier estimation algorithm for successive derivation of the variables describing the entire forest canopy.

In this paper, we use a time series of coarse spatial resolution remote sensing data to examine the interannual variability of vegetation biomass and soil moisture over the Amazonian Cerrado.