A Stable Iterative Procedure to Obtain Soil Surface Parameters and Fluxes from Satellite Data

Two general methods recently proposed to obtain the thermal inertia, the sensible heat flux, and the evapotranspiration flux from satellite data are summarized. In these methods, stable algorithms were used, but the stabilization coefficients presented were empirical. In this paper, it is shown that optimal coefficients exist and can lead to an iterative process to calculate the thermal inertia and the fluxes with improved accuracy despite of errors of measurements. Some applications using in situ data and theoretically simulated data are given as an example.