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

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloInstituto de Hidrología de Llanuras es
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2018-05-23T18:01:44Z
dc.date.available2018-05-23T18:01:44Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/8097
dc.titleA method for soil moisture probes calibration and validation of satellite estimatesen
dc.typeArtículoes
dcterms.abstractOptimization 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).en
dcterms.creator.authorHolzman, Mauroes
dcterms.creator.authorRivas, Raúl Eduardoes
dcterms.creator.authorCarmona, Facundoes
dcterms.creator.authorNiclos, Raqueles
dcterms.extentp. 243-249es
dcterms.identifier.otherdoi:10.1016/j.mex.2017.07.004es
dcterms.identifier.urlRecurso onlinees
dcterms.isPartOf.issuevol. 4es
dcterms.isPartOf.seriesMethodsXes
dcterms.issued2017-07
dcterms.languageIngléses
dcterms.licenseAttribution-NonCommercial 4.0 International (BY-NC 4.0)es
dcterms.publisherElsevieres
dcterms.subjectsoil water contenten
dcterms.subjectSoil Moisture and Ocean Salinity (SMOS)en
dcterms.subjectland surface processesen
dcterms.subjectremote sensingen
dcterms.subject.materiaOceanografía, Hidrología, Recursos Hídricoses

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