L-band radar soil moisture retrieval without ancillary information

Autores
Bruscantini, Cintia Alicia; Konings, Alexandra C.; Narvekar, Parag S.; Mccoll, Kaighin A.; Entekhabi, Dara; Grings, Francisco Matias; Karszenbaum, Haydee
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A radar-only retrieval algorithm for soil moisture mapping is applied to L-band scatterometer measurements from the Aquarius. The algorithm is based on a nonlinear relation between L-band backscatter and volumetric soil moisture and does not require ancillary information on the surface, e.g. land classification, vegetation canopy, surface roughness, etc. It is based on the definition of three limiting cases or end-members: 1) smooth bare soil, 2) rough bare soil, and 3) maximum vegetation condition. In this study, an estimation method is proposed for the end-member parameters that is iterative and only uses space-borne measurements. The major advantages of the algorithm include an analytic formulation (direct inversion possible), and the fact that there is no requirement for ancillary information. Ancillary data often mis-classify the surface and the parameterizations linking surface classification to model parameter values are often highly uncertain.The retrieval algorithm is tested using three years of space-borne scatterometer observations from the Aquarius/SAC-D. Retrieved soil moisture accuracy is assessed in several ways: comparison of global spatial patterns with other available soil moisture products (two reanalysis modeling products and retrievals based on the Aquarius radiometer), extended triple collocation and time series analysis over selected target areas. In general, low bias and standard deviation are observed with levels comparable to independent radiometer-based retrievals. The errors however increase across areas with high vegetation density. The results are promising and applicable to forthcoming L-band radar missions such as SMAP-NASA (2015) and SAOCOM-CONAE (2016).
Fil: Bruscantini, Cintia Alicia. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Konings, Alexandra C.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Narvekar, Parag S.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Mccoll, Kaighin A.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Entekhabi, Dara. Massachusetts Institute Of Technology; Estados Unidos
Fil: Grings, Francisco Matias. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Karszenbaum, Haydee. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Materia
Soil Moisture
Radar
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17721
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/17721
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling L-band radar soil moisture retrieval without ancillary informationBruscantini, Cintia AliciaKonings, Alexandra C.Narvekar, Parag S.Mccoll, Kaighin A.Entekhabi, DaraGrings, Francisco MatiasKarszenbaum, HaydeeSoil MoistureRadarhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1A radar-only retrieval algorithm for soil moisture mapping is applied to L-band scatterometer measurements from the Aquarius. The algorithm is based on a nonlinear relation between L-band backscatter and volumetric soil moisture and does not require ancillary information on the surface, e.g. land classification, vegetation canopy, surface roughness, etc. It is based on the definition of three limiting cases or end-members: 1) smooth bare soil, 2) rough bare soil, and 3) maximum vegetation condition. In this study, an estimation method is proposed for the end-member parameters that is iterative and only uses space-borne measurements. The major advantages of the algorithm include an analytic formulation (direct inversion possible), and the fact that there is no requirement for ancillary information. Ancillary data often mis-classify the surface and the parameterizations linking surface classification to model parameter values are often highly uncertain.The retrieval algorithm is tested using three years of space-borne scatterometer observations from the Aquarius/SAC-D. Retrieved soil moisture accuracy is assessed in several ways: comparison of global spatial patterns with other available soil moisture products (two reanalysis modeling products and retrievals based on the Aquarius radiometer), extended triple collocation and time series analysis over selected target areas. In general, low bias and standard deviation are observed with levels comparable to independent radiometer-based retrievals. The errors however increase across areas with high vegetation density. The results are promising and applicable to forthcoming L-band radar missions such as SMAP-NASA (2015) and SAOCOM-CONAE (2016).Fil: Bruscantini, Cintia Alicia. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Konings, Alexandra C.. Massachusetts Institute Of Technology; Estados UnidosFil: Narvekar, Parag S.. Massachusetts Institute Of Technology; Estados UnidosFil: Mccoll, Kaighin A.. Massachusetts Institute Of Technology; Estados UnidosFil: Entekhabi, Dara. Massachusetts Institute Of Technology; Estados UnidosFil: Grings, Francisco Matias. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Karszenbaum, Haydee. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaInstitute Of Electrical And Electronics Engineers2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17721Bruscantini, Cintia Alicia; Konings, Alexandra C.; Narvekar, Parag S.; Mccoll, Kaighin A.; Entekhabi, Dara; et al.; L-band radar soil moisture retrieval without ancillary information; Institute Of Electrical And Electronics Engineers; Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing; 8; 12; 12-2015; 5526-55401939-1404enginfo:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2015.2496326info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7332736/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:14Zoai:ri.conicet.gov.ar:11336/17721instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:42:14.74CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv L-band radar soil moisture retrieval without ancillary information
title L-band radar soil moisture retrieval without ancillary information
spellingShingle L-band radar soil moisture retrieval without ancillary information
Bruscantini, Cintia Alicia
Soil Moisture
Radar
title_short L-band radar soil moisture retrieval without ancillary information
title_full L-band radar soil moisture retrieval without ancillary information
title_fullStr L-band radar soil moisture retrieval without ancillary information
title_full_unstemmed L-band radar soil moisture retrieval without ancillary information
title_sort L-band radar soil moisture retrieval without ancillary information
dc.creator.none.fl_str_mv Bruscantini, Cintia Alicia
Konings, Alexandra C.
Narvekar, Parag S.
Mccoll, Kaighin A.
Entekhabi, Dara
Grings, Francisco Matias
Karszenbaum, Haydee
author Bruscantini, Cintia Alicia
author_facet Bruscantini, Cintia Alicia
Konings, Alexandra C.
Narvekar, Parag S.
Mccoll, Kaighin A.
Entekhabi, Dara
Grings, Francisco Matias
Karszenbaum, Haydee
author_role author
author2 Konings, Alexandra C.
Narvekar, Parag S.
Mccoll, Kaighin A.
Entekhabi, Dara
Grings, Francisco Matias
Karszenbaum, Haydee
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Soil Moisture
Radar
topic Soil Moisture
Radar
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A radar-only retrieval algorithm for soil moisture mapping is applied to L-band scatterometer measurements from the Aquarius. The algorithm is based on a nonlinear relation between L-band backscatter and volumetric soil moisture and does not require ancillary information on the surface, e.g. land classification, vegetation canopy, surface roughness, etc. It is based on the definition of three limiting cases or end-members: 1) smooth bare soil, 2) rough bare soil, and 3) maximum vegetation condition. In this study, an estimation method is proposed for the end-member parameters that is iterative and only uses space-borne measurements. The major advantages of the algorithm include an analytic formulation (direct inversion possible), and the fact that there is no requirement for ancillary information. Ancillary data often mis-classify the surface and the parameterizations linking surface classification to model parameter values are often highly uncertain.The retrieval algorithm is tested using three years of space-borne scatterometer observations from the Aquarius/SAC-D. Retrieved soil moisture accuracy is assessed in several ways: comparison of global spatial patterns with other available soil moisture products (two reanalysis modeling products and retrievals based on the Aquarius radiometer), extended triple collocation and time series analysis over selected target areas. In general, low bias and standard deviation are observed with levels comparable to independent radiometer-based retrievals. The errors however increase across areas with high vegetation density. The results are promising and applicable to forthcoming L-band radar missions such as SMAP-NASA (2015) and SAOCOM-CONAE (2016).
Fil: Bruscantini, Cintia Alicia. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Konings, Alexandra C.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Narvekar, Parag S.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Mccoll, Kaighin A.. Massachusetts Institute Of Technology; Estados Unidos
Fil: Entekhabi, Dara. Massachusetts Institute Of Technology; Estados Unidos
Fil: Grings, Francisco Matias. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Karszenbaum, Haydee. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
description A radar-only retrieval algorithm for soil moisture mapping is applied to L-band scatterometer measurements from the Aquarius. The algorithm is based on a nonlinear relation between L-band backscatter and volumetric soil moisture and does not require ancillary information on the surface, e.g. land classification, vegetation canopy, surface roughness, etc. It is based on the definition of three limiting cases or end-members: 1) smooth bare soil, 2) rough bare soil, and 3) maximum vegetation condition. In this study, an estimation method is proposed for the end-member parameters that is iterative and only uses space-borne measurements. The major advantages of the algorithm include an analytic formulation (direct inversion possible), and the fact that there is no requirement for ancillary information. Ancillary data often mis-classify the surface and the parameterizations linking surface classification to model parameter values are often highly uncertain.The retrieval algorithm is tested using three years of space-borne scatterometer observations from the Aquarius/SAC-D. Retrieved soil moisture accuracy is assessed in several ways: comparison of global spatial patterns with other available soil moisture products (two reanalysis modeling products and retrievals based on the Aquarius radiometer), extended triple collocation and time series analysis over selected target areas. In general, low bias and standard deviation are observed with levels comparable to independent radiometer-based retrievals. The errors however increase across areas with high vegetation density. The results are promising and applicable to forthcoming L-band radar missions such as SMAP-NASA (2015) and SAOCOM-CONAE (2016).
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/17721
Bruscantini, Cintia Alicia; Konings, Alexandra C.; Narvekar, Parag S.; Mccoll, Kaighin A.; Entekhabi, Dara; et al.; L-band radar soil moisture retrieval without ancillary information; Institute Of Electrical And Electronics Engineers; Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing; 8; 12; 12-2015; 5526-5540
1939-1404
url http://hdl.handle.net/11336/17721
identifier_str_mv Bruscantini, Cintia Alicia; Konings, Alexandra C.; Narvekar, Parag S.; Mccoll, Kaighin A.; Entekhabi, Dara; et al.; L-band radar soil moisture retrieval without ancillary information; Institute Of Electrical And Electronics Engineers; Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing; 8; 12; 12-2015; 5526-5540
1939-1404
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTARS.2015.2496326
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7332736/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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