Search results for "Computers in Earth Science"

showing 10 items of 323 documents

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

2015

Abstract: Forthcoming superspectral satellite missions dedicated to land monitoring, as well as planned imaging spectrometers, will unleash an unprecedented data stream. The processing requirements for such large data streams involve processing techniques enabling the spatio-temporally explicit quantification of vegetation properties. Typically retrieval must be accurate, robust and fast. Hence, there is a strict requirement to identify next-generation bio-geophysical variable retrieval algorithms which can be molded into an operational processing chain. This paper offers a review of state-of-the-art retrieval methods for quantitative terrestrial bio-geophysical variable extraction using op…

Data streamEconomicsComputer scienceOperational variable retrievalcomputer.software_genreLaboratory of Geo-information Science and Remote SensingMachine learningPhysicalLaboratorium voor Geo-informatiekunde en Remote SensingBio-geophysical variablesComputers in Earth SciencesParametricEngineering (miscellaneous)Parametric statisticsRemote sensingData stream miningPhysicsTransparency (human–computer interaction)VegetationPE&RCNon-parametricHybridAtomic and Molecular Physics and OpticsComputer Science ApplicationsVariable (computer science)SatelliteData miningEngineering sciences. TechnologyRetrievabilitycomputerISPRS Journal of Photogrammetry and Remote Sensing
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Development of a general model to estimate the instantaneous, daily, and daytime net radiation with satellite data on clear-sky days

2015

Net radiation is a key variable in computing evapotranspiration and is a driving force in many other physical and biological processes. Remote sensing techniques provide an unparalleled spatial and temporal coverage of land-surface attributes, and thus several studies have attempted to estimate net radiation by combining remote sensing observations with surface and atmospheric data. However, remote sensing provides instantaneous data, when many applications and models need information at other temporal scales. In this work, a new general methodology is proposed to estimate daily and daytime net radiation and to retrieve the diurnal cycle of net radiation. Four images were acquired on differ…

DaytimeMeteorologymedia_common.quotation_subjectSoil ScienceGeologyRemote sensingGeociencias multidisciplinariaCiencias de la Tierra y relacionadas con el Medio AmbienteLatitudeNet radiationDiurnal cycleRemote sensing (archaeology)SkyEvapotranspirationEnvironmental scienceSatelliteComputers in Earth SciencesTemporal scalesCIENCIAS NATURALES Y EXACTASModelRemote sensingmedia_commonRemote Sensing of Environment
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Angular variations of brightness surface temperatures derived from dual-view measurements of the Advanced Along-Track Scanning Radiometer using a new…

2019

Abstract Surface temperatures derived from remote sensing data over heterogeneous, non-isothermal land surfaces depend on the viewing and solar angles mainly due to variations in sunlit and shaded fractions of the different elements in the field of view. The near-simultaneous dual-view capability of the Advanced Along-Track Scanning Radiometer (AATSR) can be used to estimate differences in brightness surface temperatures (BSTs) between the nadir (satellite zenith angle of 0°–21.7°) and forward views (53°–55.6°) in the 11 and 12 μm bands. BST is defined as the black-body temperature corresponding to the radiance at surface level (that is, corrected for atmospheric absorption and emission). W…

DaytimeRadiometerAtmospheric radiative transfer codesAtmospheric correctionRadianceNadirSoil ScienceEnvironmental scienceGeologyAATSRComputers in Earth SciencesZenithRemote sensingRemote Sensing of Environment
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Analyzing the anisotropy of thermal infrared emissivity over arid regions using a new MODIS land surface temperature and emissivity product (MOD21)

2015

Abstract The MOD21 Land Surface Temperature and Emissivity (LST&E) product will be included in forthcoming Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6. Surface temperature and emissivities for thermal bands 29 (8.55 μm), 31 (11 μm) and 32 (12 μm) will be retrieved using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Temperature and Emissivity Separation (TES) method adapted to MODIS at-sensor spectral radiances, previously corrected with the Water Vapor Scaling method (MOD21 algorithm). We simulated MOD21 product estimates over two different sandy deserts (i.e. White Sands and Great Sands) using a series of MODIS scenes from 2010 to 2013. T…

DaytimeTeledeteccióSoil ScienceGeologyTemperatura atmosfèricaAdvanced Spaceborne Thermal Emission and Reflection RadiometerThermalEmissivityTermodinàmicaEnvironmental scienceModerate-resolution imaging spectroradiometerComputers in Earth SciencesAnisotropyZenithWater vaporRemote sensing
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Performance of Spectral Fitting Methods for vegetation fluorescence quantification

2010

The Fraunhofer Line Discriminator (FLD) principle has long been considered as the reference method to quantify solar-induced chlorophyll fluorescence (F) from passive remote sensing measurements. Recently, alternative retrieval algorithms based on the spectral fitting of hyperspectral radiance observations, Spectral Fitting Methods (SFMs), have been proposed. The aim of this manuscript is to investigate the performance of such algorithms and to provide relevant information regarding their use. FLD and SFMs were used to estimate F starting from Top Of Canopy (TOC) fluxes at very high spectral resolution (0.12 nm) and sampling interval (0.1 nm), exploiting the O2-B (687.0 nm) and O2-A (760.6 …

DiscriminatorreflectanceHyperspectral remote sensingSolar-induced chlorophyll fluorescenceMETIS-304492Soil Science550 - Earth sciencesFraunhofer Line Discriminatorin-vivoNoise (electronics)Spectral lineRadiative transfer simulationLaboratory of Geo-information Science and Remote SensingSampling (signal processing)luminescenceLaboratorium voor Geo-informatiekunde en Remote Sensinginduced chlorophyll fluorescenceComputers in Earth SciencesSpectral resolutionMathematicsRemote sensingcanopymodelphotosynthesisscatteringairborneHyperspectral imagingGeologySpectral Fitting MethodPE&RCAGR/14 - PEDOLOGIASpectroradiometerspectroradiometerRadianceREMOTE SENSING OF ENVIRONMENT
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Evaluation of the LSA-SAF gross primary production product derived from SEVIRI/MSG data (MGPP)

2020

The objective of this study is to describe a completely new 10-day gross primary production (GPP) product (MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT. The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning under optimal conditions, and a coefficient quantifying the reduction of …

Earth observation010504 meteorology & atmospheric sciencesWater stressSEVIRI/MSG0211 other engineering and technologiesEddy covariance02 engineering and technology01 natural sciences114 Physical sciencesApproximation errorMGPP10-dayComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPrimary production15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsPhotosynthetically active radiationProduct (mathematics)Geostationary orbitEnvironmental scienceLSA SAFSatelliteGPPLight-use efficiency
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation

2021

Abstract Sentinel-3 is an Earth observation satellite constellation launched by the European Space Agency. Each satellite carries two optical multispectral instruments: the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR). OLCI and SLSTR sensors produce images covering the visible and infrared spectrum that can be collocated in order to generate synergistic products. In Earth observation, a particular weakness of optical sensors is their high sensitivity to clouds and their shadows. An incorrect cloud and cloud shadow detection leads to mistakes in both land and ocean retrievals of biophysical parameters. In order to exploit both OLCI and S…

Earth observationRadiometerComputer sciencebusiness.industryCloud topMultispectral imageCloud computingCollocation (remote sensing)Atomic and Molecular Physics and OpticsComputer Science ApplicationsNadirSatelliteComputers in Earth SciencesbusinessEngineering (miscellaneous)Remote sensingISPRS Journal of Photogrammetry and Remote Sensing
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A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

2019

Abstract Global estimation of Gross Primary Production (GPP) - the uptake of atmospheric carbon dioxide by plants through photosynthesis - is commonly based on optical satellite remote sensing data. This presents a source-driven approach since it uses the amount of absorbed light, the main driver of photosynthesis, as a proxy for GPP. Vegetation Optical Depth (VOD) estimates obtained from microwave sensors provide an alternative and independent data source to estimate GPP on a global scale, which may complement existing GPP products. Recent studies have shown that VOD is related to aboveground biomass, and that both VOD and temporal changes in VOD relate to GPP. In this study, we build upon…

Earth observationTeledetecció010504 meteorology & atmospheric sciences0208 environmental biotechnologySoil ScienceComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyData_CODINGANDINFORMATIONTHEORY01 natural sciencesCross-validationFluxNetVegetacióComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingRadiometerComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPrimary productionGeology15. Life on landScatterometer020801 environmental engineeringSpectroradiometer13. Climate actionEnvironmental scienceSpatial variability
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ESA's sentinel missions in support of Earth system science

2012

Abstract The spatial and temporal characteristics of the new Sentinel missions, primarily designed to provide routine multidisciplinary observations for operational services, are also very suitable for addressing some of the challenges associated with advancing Earth System sciences. The Sentinels are ensuring long-term observational commitment and will operate a range of instruments with different spectral bands and spatial resolutions with global coverage and high revisit times. The complexity of Earth System models has been increasing gradually and most simulations of future climate and Earth system evolution are based on coupled models that include aspects of physics, bio/geo-chemistry,…

Earth system scienceEarth observationGlobal Earth Observation System of SystemsMultidisciplinary approachProcess (engineering)Soil ScienceCryosphereGeologyContext (language use)Computers in Earth SciencesConstellationRemote sensingRemote Sensing of Environment
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