0000000000407613

AUTHOR

Gerard Portal

showing 5 related works from this author

A spatially consistent downscaling approach for SMOS using an adaptive window

2017

The European Space Agency (ESA)'s Soil Moisture and Ocean Salinity (SMOS) is the first spaceborne mission using L-band radiometry to monitor the Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed to improve the quality and applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm for SMOS is proposed to obtain high-resolution (HR) SM maps at 1 km (L4), from the ∼40 km native resolution of the instrument. This algorithm introduces the concept of a shape adaptive moving window as an improvement of the current semi-empirical downscaling approach at SMOS Barcelona Expert Center, based on the “universal triangle…

Atmospheric ScienceBrightnessTeledeteccióMean squared error010504 meteorology & atmospheric sciencesREMEDHUS0211 other engineering and technologiesHigh resolution02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexBECComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingNative resolutionAdaptive moving windowLow resolutionMoving windowRemote sensing:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Orbit (dynamics)RadiometryEnvironmental scienceSpatial variabilitySoil moistureSòls -- HumitatDownscalingSMOS
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Comparison of downscaling techniques for high resolution soil moisture mapping

2017

Soil moisture impacts exchanges of water, energy and carbon fluxes between the land surface and the atmosphere. Passive microwave remote sensing at L-band can capture spatial and temporal patterns of soil moisture in the landscape. Both ESA and NASA have launched L-band radiometers, in the form of the SMOS and SMAP satellites respectively, to monitor soil moisture globally, every 3-day at about 40 km resolution. However, their coarse scale restricts the range of applications. While SMAP included an L-band radar to downscale the radiometer soil moisture to 9 km, the radar failed after 3 months and this initial approach is not applicable to developing a consistent long term soil moisture prod…

L bandRadiometer010504 meteorology & atmospheric sciences0211 other engineering and technologiesdownscalingFOS: Physical sciencesPhysics - Applied PhysicsApplied Physics (physics.app-ph)02 engineering and technology01 natural scienceslaw.inventionAtmosphereMicrowave imaging13. Climate actionlawcomparisonEnvironmental scienceRadarsoil moistureScale (map)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesDownscalingRemote sensing
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Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals

2021

Incidence angle diversity of space-borne L-band radiometers needs to be taken into account for a consistent estimation of surface soil moisture (SM). In this study, the Land Parameter Retrieval Model (LPRM) is applied to SMOS brightness temperatures to calibrate the effective scattering albedo (w) and the soil roughness (h 1 ) parameter against ERA5-land SM. The analysis is carried out for SMOS data at three different incidence angles ( 32.5±5∘, 42.5±5∘ and 52.5±5∘ ) focusing in 2016 on the three main land cover types of the Iberian Peninsula according to the Climate Change Initiative (agricultural, forest and grassland). The parameterization shows an increasing trend of w and h 1 with rise…

L bandBrightnessmicrowaveincidence angleScattering albedoradiometryLand coverAtmospheric sciencesMicroonesmulti-angularMicrowavesWater contentRadiometerScattering:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]AlbedoL-bandSatèl·lits artificials en teledeteccióEnvironmental scienceSoil moistureRoughness and incidence angle diversitysoil moistureMicrowave radiometryLPRMArtificial satellites in remote sensingSMOS
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Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products

2019

2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 28 July - 2 August 2019, Yokohama, Japan

TeledeteccióDQXRoot mean square differenceRemote sensingQuality (physics):Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Benchmark (surveying)Data qualityRange (statistics)ChisquaredEnvironmental scienceSoil moistureSòls -- HumitatWater contentRemote sensingAlternative strategySMOS
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Microwave and optical data fusion for global mapping of soil moisture at high resolution

2018

After more than 8 years in orbit the Soil Moisture and Ocean Salinity (SMOS) satellite is still in good health and several algorithms for improving its spatial resolution have been proposed and validated in a variety of catchments. However, none of them has yet been applied at the global scale. In this article we present: i) a review of the latest SMOS-BEC downscaling algorithm, which allows for its global application using an adaptive moving window and ii) a thorough validation of the resulting maps over two in-situ networks: REMEDHUS in Spain and OzNet in Australia. The proposed algorithm combines SMOS brightness temperatures (at ~40 km spatial resolution), and MODIS-derived Land Surface …

BrightnessTeledetecció010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technology01 natural sciences:Enginyeria agroalimentària::Ciències de la terra i de la vida::Edafologia [Àrees temàtiques de la UPC]In-situ stationsDownscalingImage resolutionWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingAdaptive moving windowRemote sensing:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Orbit (dynamics)Environmental scienceERA5SatelliteSoil moistureSòls -- HumitatScale (map)MicrowaveDownscalingSMOS
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