Mostrar el registro sencillo del ítem
dc.contributor.author
Vincent, Frederike
dc.contributor.author
Maertens, Michiel
dc.contributor.author
Bechtold, Michel
dc.contributor.author
Jobbagy Gampel, Esteban Gabriel
dc.contributor.author
Reichle, Rolf H.
dc.contributor.author
Vanacker, Veerle
dc.contributor.author
Vrugt, Jasper A.
dc.contributor.author
Wigneron, Jean Pierre
dc.contributor.author
De Lannoy, Gabrielle J. M.
dc.date.available
2023-08-17T13:12:04Z
dc.date.issued
2022-12
dc.identifier.citation
Vincent, Frederike; Maertens, Michiel; Bechtold, Michel; Jobbagy Gampel, Esteban Gabriel; Reichle, Rolf H.; et al.; L-Band Microwave Satellite Data and Model Simulations over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity; Institute of Electrical and Electronics Engineers; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 15; 12-2022; 6598-6614
dc.identifier.issn
1939-1404
dc.identifier.uri
http://hdl.handle.net/11336/208582
dc.description.abstract
The Dry Chaco in South America is a semi-arid ecoregion prone to dryland salinization. In this region, we investigated coarse-scale surface soil moisture (SM), soil temperature, soil salinity, and vegetation, using L-band microwave brightness temperature (TB) observations and retrievals from the soil moisture ocean salinity (SMOS) and soil moisture active passive satellite missions, Catchment land surface model (CLSM) simulations, and in situ measurements within 26 sampled satellite pixels. Across these 26 sampled pixels, the satellite-based SM outperformed CLSM SM when evaluated against field data, and the forward L-band TB simulations derived from in situ SM and soil temperature performed better than those derived from CLSM estimates when evaluated against SMOS TB observations. The surface salinity for the sampled pixels was on average only 4 mg/g and only locally influenced the TB simulations, when including salinity in the dielectric mixing model of the forward radiative transfer model (RTM) simulations. To explore the potential of retrieving salinity together with other RTM parameters to optimize TB simulations over the entire Dry Chaco, the RTM was inverted using 10 years of multiangular SMOS TB data and constraints of CLSM SM and soil temperature. However, the latter modeled SM was not sufficiently accurate and factors such as open surface water were missing in the background constraints, so that the salinity retrievals effectively represented a bulk correction of the dielectric constant, rather than salinity per se. However, the retrieval of vegetation, scattering albedo, and surface roughness resulted in realistic values.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
L-BAND MICROWAVE
dc.subject
LAND SURFACE MODEL
dc.subject
SALINITY
dc.subject
SOIL MOISTURE
dc.subject
SOIL MOISTURE ACTIVE PASSIVE (SMAP)
dc.subject
SOIL MOISTURE OCEAN SALINITY (SMOS)
dc.subject
SOIL TEMPERATURE
dc.subject
VEGETATION
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
L-Band Microwave Satellite Data and Model Simulations over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-18T15:18:47Z
dc.journal.volume
15
dc.journal.pagination
6598-6614
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Vincent, Frederike. Katholikie Universiteit Leuven; Bélgica
dc.description.fil
Fil: Maertens, Michiel. Katholikie Universiteit Leuven; Bélgica
dc.description.fil
Fil: Bechtold, Michel. Katholikie Universiteit Leuven; Bélgica
dc.description.fil
Fil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
dc.description.fil
Fil: Reichle, Rolf H.. No especifíca;
dc.description.fil
Fil: Vanacker, Veerle. Université Catholique de Louvain; Bélgica
dc.description.fil
Fil: Vrugt, Jasper A.. University of California at Irvine; Estados Unidos
dc.description.fil
Fil: Wigneron, Jean Pierre. No especifíca;
dc.description.fil
Fil: De Lannoy, Gabrielle J. M.. Katholikie Universiteit Leuven; Bélgica
dc.journal.title
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JSTARS.2022.3193636
Archivos asociados