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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. © 2012 SPIE.

Registro:

Documento: Conferencia
Título:A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information
Autor:Barber, M.; Maas, M.; Perna, P.; Grings, F.; Karszenbaum, H.
Ciudad:Edinburgh
Filiación:Grupo de Teledeteccion Cuantitativa, Instituto de Astronomía y Física del Espacio (IAFE), Intendente Guiraldez S/N, Ciudad Universitaria, Buenos Aires, Argentina
Palabras clave:Bayesian methods; Inverse problems; Prior information; Radar applications; Soil moisture; Synthetic aperture radar; Bayesian approaches; Bayesian methods; Prior information; Radar applications; Soil conditions; Soil moisture retrievals; Soil parameters; Speckle noise; Bayesian networks; Computer simulation; Geologic models; Image analysis; Inverse problems; Soil moisture; Uncertainty analysis; Synthetic aperture radar
Año:2012
Volumen:8536
DOI: http://dx.doi.org/10.1117/12.974253
Título revista:SAR Image Analysis, Modeling, and Techniques XII
Título revista abreviado:Proc SPIE Int Soc Opt Eng
ISSN:0277786X
CODEN:PSISD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v8536_n_p_Barber

Referencias:

  • Kerr, Y., Soil moisture from space: Where are we? (2007) Hydrogeology Journal, 15, pp. 117-120. , 10.1007/s10040-006-0095-3
  • Verhoest, N.E.C., Lievens, H., Wagner, W., Alvarez-Mozos, J., Moran, M.S., Mattia, F., On the soil roughness parameterization problem in soil moisture retrieval of bare surfaces from synthetic aperture radar (2008) Sensors, 8, pp. 4213-4248. , Jul
  • Callens, M., Verhoest, N.E.C., Davidson, M.W.J., Parameterization of tillage-induced single-scale soil roughness from 4-m profiles (2006) IEEE Transactions on Geoscience and Remote Sensing, 44, pp. 878-888. , Mar
  • Haddad, Z.S., Dubois, P.D., Van Zyl, J.J., Bayesian estimation of soil parameters from radar backscatter data (1996) IEEE Transactions on Geoscience and Remote Sensing, 34, pp. 76-82. , Jan
  • Lee, J.S., Hoppel, K.W., Mango, S.A., Miller, A.R., Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery (1994) IEEE Transactions on Geoscience and Remote Sensing, 32, pp. 1017-1028. , Sep
  • Barber, M., Grings, F., Perna, P., Piscitelli, M., Maas, M., Bruscantini, C., Jacobo-Berlles, J., Karszenbaum, H., Speckle noise and soil heterogeneities as error sources in a Bayesian soil moisture retrieval scheme for sar data (2012) Selected Topics in Applied Earth Observations and Remote Sensing, 5, pp. 942-951. , IEEE Journal of Jun
  • Oh, Y., Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces (2004) IEEE Transactions on Geoscience and Remote Sensing, 42, pp. 596-601. , Mar
  • MacKay, D.J.C., (2003) Information Theory, Inference, and Learning Algorithms, , Cambridge University Press
  • Jackson, T., McNairn, H., Weltz, M., Brisco, B., Brown, R., First order surface roughness correction of active microwave observations for estimating soil moisture (1997) Geoscience and Remote Sensing, 35, pp. 1065-1069. , IEEE Transactions on Jul
  • McNairn, A.P.H., Merzouki, A., Evaluating terrasar-x for the identification of tillage occurrence over an agricultural area in Canada (2010) Proc. SPIE, 7824A4 - The Society of Photo-Optical Instrumentation Engineers (SPIE); SELEX GALILEO; THALES

Citas:

---------- APA ----------
Barber, M., Maas, M., Perna, P., Grings, F. & Karszenbaum, H. (2012) . A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information. SAR Image Analysis, Modeling, and Techniques XII, 8536.
http://dx.doi.org/10.1117/12.974253
---------- CHICAGO ----------
Barber, M., Maas, M., Perna, P., Grings, F., Karszenbaum, H. "A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information" . SAR Image Analysis, Modeling, and Techniques XII 8536 (2012).
http://dx.doi.org/10.1117/12.974253
---------- MLA ----------
Barber, M., Maas, M., Perna, P., Grings, F., Karszenbaum, H. "A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information" . SAR Image Analysis, Modeling, and Techniques XII, vol. 8536, 2012.
http://dx.doi.org/10.1117/12.974253
---------- VANCOUVER ----------
Barber, M., Maas, M., Perna, P., Grings, F., Karszenbaum, H. A Bayesian approach to retrieve soil parameters from SAR data: Effect of prior information. Proc SPIE Int Soc Opt Eng. 2012;8536.
http://dx.doi.org/10.1117/12.974253