21 November 2012 A Bayesian approach to retrieve soil parameters from SAR data: effect of prior information
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Proceedings Volume 8536, SAR Image Analysis, Modeling, and Techniques XII; 85360N (2012); doi: 10.1117/12.974253
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom
Abstract
Soil moisture retrieval from SAR images is always affected 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 effect 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.
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Matias Barber, Martin Maas, Pablo Perna, Francisco Grings, Haydee Karszenbaum, "A Bayesian approach to retrieve soil parameters from SAR data: effect of prior information", Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 85360N (21 November 2012); doi: 10.1117/12.974253; https://doi.org/10.1117/12.974253
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KEYWORDS
Soil science

Synthetic aperture radar

Speckle

Backscatter

Data modeling

Error analysis

Electroluminescent displays

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