Abstract:
The aim of this research is to examine the ability of an approach based on Bayesian inference to retrieve surface soil moisture in an experimental agricultural area located in the province of Córdoba, Argentina. Radar images from SARAT sensor were used, as well as measurements of biophysical parameters in the field. Several implementations of the main algorithm were designed to evaluate their different capability to reproduce the ground data. The Bayesian inversion was performed based on electromagnetic model: the Integral Equation Model (IEM) for bare soil, and the Water Cloud Model (WCM) for vegetated fields. For bare soil, the results showed high sensitivity of the algorithms to the different roughness conditions of each plot, while for vegetated areas, the availability of field measurements limited the comparisons between the obtained maps and the in situ data. © 2013 IEEE.
Registro:
| Documento: |
Conferencia
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| Título: | Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina |
| Autor: | Solorza, R.; Notarnicola, C.; Karszenbaum, H. |
| Ciudad: | Melbourne, VIC |
| Filiación: | Instituto Gulich, CONAE, Ruta C45, Falda-del-Carmen, Córdoba, Argentina
EURAC, Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, Italy
IAFE, Instituto de Astronomía y Física Del Espacio, CONICET/UBA, Buenos Aires, Argentina
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| Palabras clave: | Bayesian approach; Electromagnetic Models; SAR; SARAT; Soil Moisture |
| Año: | 2013
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| Página de inicio: | 739
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| Página de fin: | 742
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| DOI: |
http://dx.doi.org/10.1109/IGARSS.2013.6721263 |
| Título revista: | 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
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| Título revista abreviado: | Dig Int Geosci Remote Sens Symp (IGARSS)
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| CODEN: | IGRSE
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| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814799_v_n_p739_Solorza |
Referencias:
- Barrett, B., Dwyer, E., Whelan, P., Soil moisture retrieval from active spaceborne microwave observations: An evaluation of current techniques (2009) Remote Sensing, 1, pp. 210-242
- Notarnicola, C., Posa, F., Bayesian algorithm for the estimation of the dielectric constant from active and passive remotely sensed data (2004) IEEE Geoscience and Remote Sensing Letters, 1 (3), pp. 179-183
- Barber, M., Grings, F., Perna, P., Bruscantini, C., Karszenbaum, H., (2011) Analisis de Las Mediciones de Rugosidad Del Centro Espacial Teofilo Tabanera, Cordoba, , Tech. Rep., CONAE-IAFE, May
- Pampaloni, P., Santi, E., Paloscia, S., Pettinato, S., Poggi, P., (2004) Radar Remote Sensing of Soil Moisture-ENVISNOW Project-SMC Algorithms, , Tech. Rep., IFAC-CNR, October
- Fung, A., Li, Z., Chen, K., Backscattering from a randomly rough dielectric surface (1992) IEEE TRANSACTIONS on GEOSCIENCE and REMOTE SENSING, 30, pp. 356-369
- Attema, E.P., Ulaby, F.T., Vegetation modeled as a water cloud (1978) Radio Science, 13 (2), pp. 357-364
- Jackson, T., Chen, D., Cosh, M., Li, F., Anderson, M., Walthall, C., Doriaswamy, P., Ray Hunt, E., Vegetation water content mapping using landsat data derived normalized difference water index for corn and soybeans (2004) Remote Sensing of Environment, 92, pp. 475-482
- Hallikainen, M.T., Ulaby, F.T., Dobson, M.C., El Rayes, M.A., Wu, L.K., Microwave dielectric behavior of wet soil-part 1: Empirical models and experimental observations (1985) IEEE TRANSACTIONS on GEOSCIENCE and REMOTE SENSING, GE-23 (1), pp. 25-34A4 - The Institute of Electrical and Electronics Engineers,; Geoscience and Remote Sensing Society (IEEE GRSS)
Citas:
---------- APA ----------
Solorza, R., Notarnicola, C. & Karszenbaum, H.
(2013)
. Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina. 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, 739-742.
http://dx.doi.org/10.1109/IGARSS.2013.6721263---------- CHICAGO ----------
Solorza, R., Notarnicola, C., Karszenbaum, H.
"Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina"
. 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
(2013) : 739-742.
http://dx.doi.org/10.1109/IGARSS.2013.6721263---------- MLA ----------
Solorza, R., Notarnicola, C., Karszenbaum, H.
"Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina"
. 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, 2013, pp. 739-742.
http://dx.doi.org/10.1109/IGARSS.2013.6721263---------- VANCOUVER ----------
Solorza, R., Notarnicola, C., Karszenbaum, H. Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina. Dig Int Geosci Remote Sens Symp (IGARSS). 2013:739-742.
http://dx.doi.org/10.1109/IGARSS.2013.6721263