Estimation of Hydraulic properties of a sandy soil using ground-based active and passive microwave remote sensing

Handle URI:
http://hdl.handle.net/10754/564177
Title:
Estimation of Hydraulic properties of a sandy soil using ground-based active and passive microwave remote sensing
Authors:
Jonard, François; Weihermüller, Lutz; Schwank, Mike; Jadoon, Khan; Vereecken, Harry; Lambot, Sébastien
Abstract:
In this paper, we experimentally analyzed the feasibility of estimating soil hydraulic properties from 1.4 GHz radiometer and 0.8-2.6 GHz ground-penetrating radar (GPR) data. Radiometer and GPR measurements were performed above a sand box, which was subjected to a series of vertical water content profiles in hydrostatic equilibrium with a water table located at different depths. A coherent radiative transfer model was used to simulate brightness temperatures measured with the radiometer. GPR data were modeled using full-wave layered medium Green's functions and an intrinsic antenna representation. These forward models were inverted to optimally match the corresponding passive and active microwave data. This allowed us to reconstruct the water content profiles, and thereby estimate the sand water retention curve described using the van Genuchten model. Uncertainty of the estimated hydraulic parameters was quantified using the Bayesian-based DREAM algorithm. For both radiometer and GPR methods, the results were in close agreement with in situ time-domain reflectometry (TDR) estimates. Compared with radiometer and TDR, much smaller confidence intervals were obtained for GPR, which was attributed to its relatively large bandwidth of operation, including frequencies smaller than 1.4 GHz. These results offer valuable insights into future potential and emerging challenges in the development of joint analyses of passive and active remote sensing data to retrieve effective soil hydraulic properties.
KAUST Department:
Water Desalination and Reuse Research Center (WDRC); Water Desalination and Reuse Research Center
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Geoscience and Remote Sensing
Issue Date:
Jun-2015
DOI:
10.1109/TGRS.2014.2368831
Type:
Article
ISSN:
01962892
Sponsors:
This work was supported by the Helmholtz Alliance on "Remote Sensing and Earth System Dynamics" and by the CROPSENSe project funded by the German Federal Ministry of Education and Research (BMBF). The ELBARA-II radiometer was provided by TERENO "Terrestrial Environmental Observatories", also funded by the BMBF.
Appears in Collections:
Articles; Water Desalination and Reuse Research Center (WDRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorJonard, Françoisen
dc.contributor.authorWeihermüller, Lutzen
dc.contributor.authorSchwank, Mikeen
dc.contributor.authorJadoon, Khanen
dc.contributor.authorVereecken, Harryen
dc.contributor.authorLambot, Sébastienen
dc.date.accessioned2015-08-03T12:35:14Zen
dc.date.available2015-08-03T12:35:14Zen
dc.date.issued2015-06en
dc.identifier.issn01962892en
dc.identifier.doi10.1109/TGRS.2014.2368831en
dc.identifier.urihttp://hdl.handle.net/10754/564177en
dc.description.abstractIn this paper, we experimentally analyzed the feasibility of estimating soil hydraulic properties from 1.4 GHz radiometer and 0.8-2.6 GHz ground-penetrating radar (GPR) data. Radiometer and GPR measurements were performed above a sand box, which was subjected to a series of vertical water content profiles in hydrostatic equilibrium with a water table located at different depths. A coherent radiative transfer model was used to simulate brightness temperatures measured with the radiometer. GPR data were modeled using full-wave layered medium Green's functions and an intrinsic antenna representation. These forward models were inverted to optimally match the corresponding passive and active microwave data. This allowed us to reconstruct the water content profiles, and thereby estimate the sand water retention curve described using the van Genuchten model. Uncertainty of the estimated hydraulic parameters was quantified using the Bayesian-based DREAM algorithm. For both radiometer and GPR methods, the results were in close agreement with in situ time-domain reflectometry (TDR) estimates. Compared with radiometer and TDR, much smaller confidence intervals were obtained for GPR, which was attributed to its relatively large bandwidth of operation, including frequencies smaller than 1.4 GHz. These results offer valuable insights into future potential and emerging challenges in the development of joint analyses of passive and active remote sensing data to retrieve effective soil hydraulic properties.en
dc.description.sponsorshipThis work was supported by the Helmholtz Alliance on "Remote Sensing and Earth System Dynamics" and by the CROPSENSe project funded by the German Federal Ministry of Education and Research (BMBF). The ELBARA-II radiometer was provided by TERENO "Terrestrial Environmental Observatories", also funded by the BMBF.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectBayesian uncertaintyen
dc.subjectground-penetrating radar (GPR)en
dc.subjectinverse modelingen
dc.subjectmicrowave radiometryen
dc.subjectsoil hydraulic propertiesen
dc.titleEstimation of Hydraulic properties of a sandy soil using ground-based active and passive microwave remote sensingen
dc.typeArticleen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.contributor.departmentWater Desalination and Reuse Research Centeren
dc.identifier.journalIEEE Transactions on Geoscience and Remote Sensingen
dc.contributor.institutionAgrosphere (IBG-3), Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbHJülich, Germanyen
dc.contributor.institutionSwiss Federal Institute for Forest, Snow and Landscape Research (WSL)Birmensdorf, Switzerlanden
dc.contributor.institutionGAMMA Remote Sensing AGGümligen, Switzerlanden
dc.contributor.institutionEarth and Life Institute, Université Catholique de LouvainLouvain-la-Neuve, Belgiumen
kaust.authorJadoon, Khanen
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