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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Detalles Bibliográficos
Publicado: 2016
Materias:
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
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v13_n3_p399_Morandeira
http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_1545598X_v13_n3_p399_Morandeira
record_format dspace
spelling paper:paper_1545598X_v13_n3_p399_Morandeira2023-06-08T16:21:11Z Modeling Bare Soil L-Band Polarimetric H-α Values Using a Second-Order SPM Model 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. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v13_n3_p399_Morandeira http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection 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
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.
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
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v13_n3_p399_Morandeira
http://hdl.handle.net/20.500.12110/paper_1545598X_v13_n3_p399_Morandeira
_version_ 1768543721647767552

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