A method for soil moisture probes calibration and validation of satellite estimates

Autores
Holzman, Mauro; Rivas, Raúl Eduardo; Carmona, Facundo; Niclos, Raquel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Optimization of field techniques is crucial to ensure high quality soil moisture data. The aim of the work is to present a sampling method for undisturbed soil and soil water content to calibrated soil moisture probes, in a context of the SMOS (Soil Moisture and Ocean Salinity) mission MIRAS Level 2 soil moisture product validation in Pampean Region of Argentina. The method avoids soil alteration and is recommended to calibrated probes based on soil type under a freely drying process at ambient temperature. A detailed explanation of field and laboratory procedures to obtain reference soil moisture is shown. The calibration results reflected accurate operation for the Delta-T thetaProbe ML2x probes in most of analyzed cases (RMSE and bias ≤ 05m³/m³). Post-calibration results indicated that the accuracy improves significantly applying the adjustments of the calibration based on soil types (RMSE ≤ 0.022m³/m³, bias ≤ 0.010m³/m³).
Materia
Oceanografía, Hidrología, Recursos Hídricos
soil water content
Soil Moisture and Ocean Salinity (SMOS)
land surface processes
remote sensing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/8097
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/8097
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling A method for soil moisture probes calibration and validation of satellite estimatesHolzman, MauroRivas, Raúl EduardoCarmona, FacundoNiclos, RaquelOceanografía, Hidrología, Recursos Hídricossoil water contentSoil Moisture and Ocean Salinity (SMOS)land surface processesremote sensingOptimization of field techniques is crucial to ensure high quality soil moisture data. The aim of the work is to present a sampling method for undisturbed soil and soil water content to calibrated soil moisture probes, in a context of the SMOS (Soil Moisture and Ocean Salinity) mission MIRAS Level 2 soil moisture product validation in Pampean Region of Argentina. The method avoids soil alteration and is recommended to calibrated probes based on soil type under a freely drying process at ambient temperature. A detailed explanation of field and laboratory procedures to obtain reference soil moisture is shown. The calibration results reflected accurate operation for the Delta-T thetaProbe ML2x probes in most of analyzed cases (RMSE and bias ≤ 05m³/m³). Post-calibration results indicated that the accuracy improves significantly applying the adjustments of the calibration based on soil types (RMSE ≤ 0.022m³/m³, bias ≤ 0.010m³/m³).Elsevier2017-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/8097enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2017.07.004info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-11T10:18:53Zoai:digital.cic.gba.gob.ar:11746/8097Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-11 10:18:54.276CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv A method for soil moisture probes calibration and validation of satellite estimates
title A method for soil moisture probes calibration and validation of satellite estimates
spellingShingle A method for soil moisture probes calibration and validation of satellite estimates
Holzman, Mauro
Oceanografía, Hidrología, Recursos Hídricos
soil water content
Soil Moisture and Ocean Salinity (SMOS)
land surface processes
remote sensing
title_short A method for soil moisture probes calibration and validation of satellite estimates
title_full A method for soil moisture probes calibration and validation of satellite estimates
title_fullStr A method for soil moisture probes calibration and validation of satellite estimates
title_full_unstemmed A method for soil moisture probes calibration and validation of satellite estimates
title_sort A method for soil moisture probes calibration and validation of satellite estimates
dc.creator.none.fl_str_mv Holzman, Mauro
Rivas, Raúl Eduardo
Carmona, Facundo
Niclos, Raquel
author Holzman, Mauro
author_facet Holzman, Mauro
Rivas, Raúl Eduardo
Carmona, Facundo
Niclos, Raquel
author_role author
author2 Rivas, Raúl Eduardo
Carmona, Facundo
Niclos, Raquel
author2_role author
author
author
dc.subject.none.fl_str_mv Oceanografía, Hidrología, Recursos Hídricos
soil water content
Soil Moisture and Ocean Salinity (SMOS)
land surface processes
remote sensing
topic Oceanografía, Hidrología, Recursos Hídricos
soil water content
Soil Moisture and Ocean Salinity (SMOS)
land surface processes
remote sensing
dc.description.none.fl_txt_mv Optimization of field techniques is crucial to ensure high quality soil moisture data. The aim of the work is to present a sampling method for undisturbed soil and soil water content to calibrated soil moisture probes, in a context of the SMOS (Soil Moisture and Ocean Salinity) mission MIRAS Level 2 soil moisture product validation in Pampean Region of Argentina. The method avoids soil alteration and is recommended to calibrated probes based on soil type under a freely drying process at ambient temperature. A detailed explanation of field and laboratory procedures to obtain reference soil moisture is shown. The calibration results reflected accurate operation for the Delta-T thetaProbe ML2x probes in most of analyzed cases (RMSE and bias ≤ 05m³/m³). Post-calibration results indicated that the accuracy improves significantly applying the adjustments of the calibration based on soil types (RMSE ≤ 0.022m³/m³, bias ≤ 0.010m³/m³).
description Optimization of field techniques is crucial to ensure high quality soil moisture data. The aim of the work is to present a sampling method for undisturbed soil and soil water content to calibrated soil moisture probes, in a context of the SMOS (Soil Moisture and Ocean Salinity) mission MIRAS Level 2 soil moisture product validation in Pampean Region of Argentina. The method avoids soil alteration and is recommended to calibrated probes based on soil type under a freely drying process at ambient temperature. A detailed explanation of field and laboratory procedures to obtain reference soil moisture is shown. The calibration results reflected accurate operation for the Delta-T thetaProbe ML2x probes in most of analyzed cases (RMSE and bias ≤ 05m³/m³). Post-calibration results indicated that the accuracy improves significantly applying the adjustments of the calibration based on soil types (RMSE ≤ 0.022m³/m³, bias ≤ 0.010m³/m³).
publishDate 2017
dc.date.none.fl_str_mv 2017-07
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 https://digital.cic.gba.gob.ar/handle/11746/8097
url https://digital.cic.gba.gob.ar/handle/11746/8097
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2017.07.004
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 12.993085

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