IAFE   05512
INSTITUTO DE ASTRONOMIA Y FISICA DEL ESPACIO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information
Autor/es:
M. BARBER; M. MAAS; F. GRINGS; P. PERNA; H. KARSZENBAUM
Lugar:
Edimburgo
Reunión:
Congreso; SPIE Remote Sensing 2012; 2012
Institución organizadora:
SPIE
Resumen:
Soil moisture retrieval from SAR images is always aected by speckle noise, model errors and uncertainties associated to soil parameters, which impact negatively on the accuracy of soil moisture estimates. A Bayesian approach has been proposed to deal with these issues. As a natural advantage of the Bayesian approach, prior information about soil condition can be easily included. Based on simulations, the eect of prior information has been analyzed. It follows from simulations using the Oh's model that the soil moisture estimator is very sensitivity to the roughness prior.