A Bayesian methodology for soil parameters retrieval from SAR images

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Soil moisture retrieval from SAR data presents two main sources of uncertainty: terrain heterogeneity and speckle noise. In this paper, these issues will be addressed by using a Bayesian approach. Such a Bayesian approach (1) needs only a forward model (no retrieval model required), (2) gives the op...

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Detalles Bibliográficos
Autores principales: Barber, M., Perna, P., Bruscantinni, C., Grings, F., Karszenbaum, H., Piscitelli, M., Jacobo-Berlles, J.
Formato: CONF
Materias:
Bayesian retrieval approaches
radar remote sensing
Soil moisture
Bayesian approaches
Bayesian methodology
Bayesian retrieval
Error sources
Forward models
Radar remote sensing
Retrieval models
Retrieval procedures
SAR data
SAR Images
Soil moisture retrievals
Soil parameters
Sources of uncertainty
Speckle noise
Unbiased estimator
Bayesian networks
Moisture determination
Remote sensing
Space optics
Synthetic aperture radar
Geologic models
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814577_v_n_p1215_Barber
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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