Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model
Polarimetric soil moisture retrieval is among the main objectives of leading synthetic-aperture-radar satellite missions since it allows to systematically analyze costly-to-obtain polarization information to increase retrieval accuracy. In this letter, we present the results of modeling the L-band e...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira |
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todo:paper_1545598X_v13_n3_p399_Morandeira2023-10-03T16:23:01Z Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model Morandeira, N.S. Franco, M. Barber, M. Grings, F. soil moisture Synthetic aperture radar (SAR) polarimetry uninhabited aerial vehicle synthetic aperture radar (UAVSAR) Polarimeters Radar Soil moisture Soils Synthetic aperture radar Field campaign Model results Retrieval accuracy Roughness change Small perturbation models Soil dielectric constant Soil moisture retrievals Uninhabited aerial vehicle Search engines Polarimetric soil moisture retrieval is among the main objectives of leading synthetic-aperture-radar satellite missions since it allows to systematically analyze costly-to-obtain polarization information to increase retrieval accuracy. In this letter, we present the results of modeling the L-band entropy (H) and alpha (α) values as a function of soil dielectric constant and roughness using a second-order small-perturbation model to simulate the polarimetric soil backscattering. Modeling results are then compared to bare soil uninhabited aerial vehicle synthetic aperture radar (UAVSAR) data acquired simultaneously to in situ field campaigns in Canada during SMAPVEx12. Our model is able to correctly predict observed ranges of H and α and to consistently model dielectric constant and roughness changes. Nevertheless, a systematic overestimation of α is observed when compared with the analyzed UAVSAR data set. Taking UAVSAR data as benchmark, theoretical reasons for this mismatch are analyzed. © 2015 IEEE. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira |
| institution |
Universidad de Buenos Aires |
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I-28 |
| repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
soil moisture Synthetic aperture radar (SAR) polarimetry uninhabited aerial vehicle synthetic aperture radar (UAVSAR) Polarimeters Radar Soil moisture Soils Synthetic aperture radar Field campaign Model results Retrieval accuracy Roughness change Small perturbation models Soil dielectric constant Soil moisture retrievals Uninhabited aerial vehicle Search engines |
| spellingShingle |
soil moisture Synthetic aperture radar (SAR) polarimetry uninhabited aerial vehicle synthetic aperture radar (UAVSAR) Polarimeters Radar Soil moisture Soils Synthetic aperture radar Field campaign Model results Retrieval accuracy Roughness change Small perturbation models Soil dielectric constant Soil moisture retrievals Uninhabited aerial vehicle Search engines Morandeira, N.S. Franco, M. Barber, M. Grings, F. Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| topic_facet |
soil moisture Synthetic aperture radar (SAR) polarimetry uninhabited aerial vehicle synthetic aperture radar (UAVSAR) Polarimeters Radar Soil moisture Soils Synthetic aperture radar Field campaign Model results Retrieval accuracy Roughness change Small perturbation models Soil dielectric constant Soil moisture retrievals Uninhabited aerial vehicle Search engines |
| description |
Polarimetric soil moisture retrieval is among the main objectives of leading synthetic-aperture-radar satellite missions since it allows to systematically analyze costly-to-obtain polarization information to increase retrieval accuracy. In this letter, we present the results of modeling the L-band entropy (H) and alpha (α) values as a function of soil dielectric constant and roughness using a second-order small-perturbation model to simulate the polarimetric soil backscattering. Modeling results are then compared to bare soil uninhabited aerial vehicle synthetic aperture radar (UAVSAR) data acquired simultaneously to in situ field campaigns in Canada during SMAPVEx12. Our model is able to correctly predict observed ranges of H and α and to consistently model dielectric constant and roughness changes. Nevertheless, a systematic overestimation of α is observed when compared with the analyzed UAVSAR data set. Taking UAVSAR data as benchmark, theoretical reasons for this mismatch are analyzed. © 2015 IEEE. |
| format |
JOUR |
| author |
Morandeira, N.S. Franco, M. Barber, M. Grings, F. |
| author_facet |
Morandeira, N.S. Franco, M. Barber, M. Grings, F. |
| author_sort |
Morandeira, N.S. |
| title |
Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| title_short |
Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| title_full |
Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| title_fullStr |
Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| title_full_unstemmed |
Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model |
| title_sort |
modeling bare soil l-band polarimetric h-α values using a second-order spm model |
| url |
http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira |
| work_keys_str_mv |
AT morandeirans modelingbaresoillbandpolarimetrichavaluesusingasecondorderspmmodel AT francom modelingbaresoillbandpolarimetrichavaluesusingasecondorderspmmodel AT barberm modelingbaresoillbandpolarimetrichavaluesusingasecondorderspmmodel AT gringsf modelingbaresoillbandpolarimetrichavaluesusingasecondorderspmmodel |
| _version_ |
1807323311464513536 |