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: Eff ect 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 a ected 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 e ect 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.
