6533b85afe1ef96bd12b95ab

RESEARCH PRODUCT

SMOS Level-2 Soil Moisture Product Evaluation in Rain-Fed Croplands of the Pampean Region of Argentina

Alvaro SoldanoCarolina DoñaJuan M SanchezRaúl Eduardo RivasVicente García-santosVicente CasellesDora OcampoRaquel NiclosFacundo CarmonaMartín Ignacio BayalaMauro HolzmanEnric ValorM. Thibeault

subject

010504 meteorology & atmospheric sciences0211 other engineering and technologiesSoil science02 engineering and technologyAtmospheric sciences01 natural sciencesStandard deviationCiencias de la Tierra y relacionadas con el Medio AmbienteSOIL MOISTURE (SM)Electrical and Electronic EngineeringPRODUCT EVALUATIONWater contentField campaign021101 geological & geomatics engineering0105 earth and related environmental sciencesPhysicsRadiometerSOIL MOISTURE AND OCEAN SALINITY (SMOS)GROUND MEASUREMENTSNegative biasHomogeneousProduct (mathematics)Random errorGeneral Earth and Planetary SciencesMeteorología y Ciencias AtmosféricasCIENCIAS NATURALES Y EXACTAS

description

A field campaign was carried out to evaluate the Soil Moisture (SM) MIR-SMUDP2 product (v5.51) generated from the data of the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS) aboard the Soil Moisture and Ocean Salinity (SMOS) mission. The study area was the Pampean Region of Argentina, which was selected because it is a vast area of flatlands containing quite homogeneous rain-fed croplands, which are considered SMOS nominal land uses and hardly affected by radio-frequency interference contamination. Transects of ground handheld SM measurements were performed using ThetaProbe ML2x probes within four Icosahedral Snyder Equal Area Earth (ISEA) grid nodes, where permanent SM stations are located. The campaign results showed a negative bias of-0.02 m3m-3 between concurrent SMOS data and ground SM measurements, which means a slight SMOS underestimation, and a standard deviation of ±0.06 m3m-3. Additionally, a good correlation was obtained between the handheld SM measurements taken during the campaign and the permanent SM station data within a node, which pointed out that the station data could be used as reference data to evaluate the SMOS product over a longer temporal period. SMOS-retrieved data were also compared with station mean SM values from 2012 to 2014. A general SMOS underestimation of ± -0.05m3m-3 was observed, with a standard deviation of ± 0.04m3m-3, which yields an uncertainty of ± 0.07m3m-3 for the SMOS product. Although the random error meets the SMOS mission's goal of ± 0.04m3m-3, the product overall uncertainty is higher than that due to the significant dry bias, which is also found in other regions of the world. Fil: Niclos, Raquel. Universidad de Valencia; España Fil: Rivas, Raúl Eduardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina Fil: Garcia Santos, Vicente. Universidad de Valencia; España Fil: Doña, Carolina. Universidad de Valencia; España Fil: Valor, Enric. Universidad de Valencia; España Fil: Holzman, Mauro Ezequiel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Bayala, Martin Ignacio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina Fil: Carmona, Facundo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Ocampo, Dora Ester. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Soldano, Alvaro. Comision Nacional de Actividades Espaciales; Argentina Fil: Thibeault, Marc. Comision Nacional de Actividades Espaciales; Argentina Fil: Caselles, Vicente. Universidad de Valencia; España Fil: Sanchez, Juan M.. Universidad de Castilla-La Mancha; España

yearjournalcountryeditionlanguage
2016-01-01IEEE Transactions on Geoscience and Remote Sensing
https://doi.org/10.1109/tgrs.2015.2460332