Search results for "Radiative Transfer"

showing 10 items of 551 documents

Post-adiabatic supernova remnants in an interstellar magnetic field: oblique shocks and non-uniform environment

2018

Monthly notices of the Royal Astronomical Society 479(3), 4253 - 4270 (2018). doi:10.1093/mnras/sty1750

Shock waveshock wave010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayAstrophysics01 natural sciencesISM: magnetic field0103 physical sciencesRadiative transferAdiabatic process010303 astronomy & astrophysicsISM: supernova remnantAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicssupernova remnants [ISM]magnetic fields [ISM]Astronomy and Astrophysicsshock wavesAstronomy and Astrophysic520Magnetic fieldSupernovaSpace and Planetary Scienceddc:520Oblique shockMagnetohydrodynamicsAstrophysics - High Energy Astrophysical Phenomena
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Statistical Learning for End-to-End Simulations

2018

End-to-end mission performance simulators (E2ES) are suitable tools to accelerate satellite mission development from concet to deployment. One core element of these E2ES is the generation of synthetic scenes that are observed by the various instruments of an Earth Observation mission. The generation of these scenes rely on Radiative Transfer Models (RTM) for the simulation of light interaction with the Earth surface and atmosphere. However, the execution of advanced RTMs is impractical due to their large computation burden. Classical interpolation and statistical emulation methods of pre-computed Look-Up Tables (LUT) are therefore common practice to generate synthetic scenes in a reasonable…

Signal Processing (eess.SP)Earth observation010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyLinear interpolation01 natural sciencesSpectral lineComputational sciencesymbols.namesakeSampling (signal processing)Radiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingGaussian processInstrumentation and Methods for Astrophysics (astro-ph.IM)021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationGround-penetrating radarLookup tableRadiancesymbolsAstrophysics - Instrumentation and Methods for AstrophysicsInterpolation
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Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

2020

Parameter retrieval and model inversion are key problems in remote sensing and Earth observation. Currently, different approximations exist: a direct, yet costly, inversion of radiative transfer models (RTMs); the statistical inversion with in situ data that often results in problems with extrapolation outside the study area; and the most widely adopted hybrid modeling by which statistical models, mostly nonlinear and non-parametric machine learning algorithms, are applied to invert RTM simulations. We will focus on the latter. Among the different existing algorithms, in the last decade kernel based methods, and Gaussian Processes (GPs) in particular, have provided useful and informative so…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningEarth observation010504 meteorology & atmospheric sciencesIASIComputer science0211 other engineering and technologiesExtrapolation02 engineering and technologyDeep Gaussian Processes01 natural sciencesArticleMachine Learning (cs.LG)symbols.namesakeCopernicus programmeSentinelsMachine learningRadiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingComputers in Earth SciencesModel inversionStatistical retrievalEngineering (miscellaneous)Gaussian processChlorophyll contentMoisture021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryInorganic suspended matterTemperatureInversion (meteorology)Statistical modelAtomic and Molecular Physics and OpticsComputer Science ApplicationsInfrared sounderNonlinear systemsymbolsGlobal Positioning SystemColoured dissolved matterbusinessAlgorithm
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Empirical estimates of the radiative impact of an unusually extreme dust and wildfire episode on the performance of a photovoltaic plant in Western M…

2019

Abstract We have estimated the radiative impact produced by an unusually extreme dust and wildfire episode on the performance of a photovoltaic (PV) plant. The dust and wildfire events were mostly active on 26–28 and 29–30 June 2012, respectively. We took advantage of the consecutiveness of both events to separate and derive empirically the radiative effect of dust and smoke aerosols. With this purpose, we employed measurements of aerosol load, radiation and PV power output from a collocated atmospheric station and PV plant located at Burjassot (Valencia, Spain). The empirical estimates were obtained by direct comparison with a summer background day, happened right before the two consecutiv…

SmokeMediterranean climateEnergy loss020209 energyMechanical EngineeringPhotovoltaic system02 engineering and technologyBuilding and ConstructionForcing (mathematics)Management Monitoring Policy and LawAtmospheric sciencescomplex mixturesAerosolGeneral Energy020401 chemical engineering0202 electrical engineering electronic engineering information engineeringRadiative transferEnvironmental science0204 chemical engineeringPv plantApplied Energy
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Model, software and database for line-mixing effects in the nu3 and nu4 bands of CH4 and tests using laboratory and planetary measurements - II : H2 …

2006

International audience; The absorption shapes of the nu(2), nu(3) and nu(4) infrared bands of CH4 perturbed by H-2 in large ranges of pressure and temperature have been measured in the laboratory. In order to model these spectra, the theoretical approach accounting for line-mixing effects proposed for CH4-N-2 and CH4-air and successfully tested in the companion paper (1), is used. As before, state-to-state rotational rates are used together with some empirical parameters that are deduced from a fit of a single room temperature spectrum of the nu(3) band at about 50 atm. The comparisons between measured and calculated spectra in the nu(3) and nu(4) regions under a vast variety of conditions …

Spectral shape analysis010504 meteorology & atmospheric sciencesInfraredcomputer.software_genre01 natural sciences7. Clean energyJovianSpectral line0103 physical sciencesRadiative transferAbsorption (electromagnetic radiation)Spectroscopy0105 earth and related environmental sciencesLine (formation)Physics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Radiation010304 chemical physicsSpectrometerDatabasemethane infrared spectraAtomic and Molecular Physics and Optics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]13. Climate actionAstrophysics::Earth and Planetary Astrophysicscomputergiant planets emission
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Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space

2021

Abstract In the coming years, Earth Observation missions like the FLuorescence EXplorer (FLEX) will acquire the radiance signal from the visible to the near-infrared at a very high spectral resolution, enabling exciting prospects for new insights in satellite-based photosynthetic studies. In this context, the process of de-coupling atmospheric and vegetation-related spectral signatures will become essential to guarantee a reliable estimation of the vegetation photosynthetic activity from space. Dynamic changes related to the vegetation photosynthetic status result in subtle contributions to the top of atmosphere radiance signal, e.g. due to the emission of the solar-induced chlorophyll fluo…

Spectral signature010504 meteorology & atmospheric sciencesAtmospheric pressure0208 environmental biotechnologyAtmospheric correctionSoil ScienceGeologyContext (language use)02 engineering and technology01 natural sciences020801 environmental engineeringAerosolRadiative transferRadianceEnvironmental scienceComputers in Earth SciencesWater vapor0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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A directional spectral mixture analysis method: application to multiangular airborne measurements

2006

This study aims at developing an operational approach-namely, directional spectral mixture analysis (DISMA)-for retrieving vegetation parameters like fractional vegetation cover (FVC) and leaf area index (LAI) from multispectral and multiangular data. The approach attempts to highlight the consistency of one-dimensional models and linear mixture approaches. DISMA combines spectral signatures of soil and vegetation components with an analytical approximation of the radiative transfer equation, giving rise to a fast invertible bidirectional reflectance distribution function (BRDF) model of discontinuous canopies. Both the forward model and its inversion using a simple technique based on looku…

Spectral signatureMean squared errorMultispectral imageRadiative transferGeneral Earth and Planetary SciencesImage processingBidirectional reflectance distribution functionElectrical and Electronic EngineeringLeaf area indexHyMapMathematicsRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Potential retrieval of biophysical parameters from FLORIS, S3-OLCI and its synergy

2012

The main objective of FLEX is the measurement of vegetation chlorophyll fluorescence (Fs) from space and the exploitation of this signal to better understand the carbon cycle. FLuORescence Imaging Spectrometer (FLORIS) is the main instrument of the FLEX mission concept. ESA's Earth Science Advisory Committee recommended the investigation of the FLEX concept as an in-orbit demonstrator to be flown as a tandem mission with Sentinel-3 (S-3). S-3 is amongst others equipped with the Ocean Land Colour Instrument (OLCI). When flown in tandem these instruments are expected to provide an accurate characterization of key atmospheric and surface parameters to facilitate Fs retrieval for FLORIS. In thi…

SpectrometerComputer scienceRadiative transferRadianceRange (statistics)VegetationSoil typeChlorophyll fluorescenceFluorescenceRemote sensingCarbon cycle2012 IEEE International Geoscience and Remote Sensing Symposium
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Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data. Application to CASI-1500 data

2007

Imaging spectrometers operating in the solar spectrum measure the upwelling reflected solar radiation, and are an important tool in the bio/geochemical characterization of the Earth system. Surface reflectance is usually the starting point for the retrieval of biophysical parameters from remote measurements. Reliable radiometric and spectral calibrations and accurate atmospheric correction are mandatory in the interpretation of the surface reflectance. A complete surface reflectance retrieval scheme specifically designed for ultra-fine spectral resolution (bandwidth from 10 to 2 nm) and spatial resolution (pixel size less than 10 m) imaging spectrometers is presented in this work. The asses…

Spectrometerbusiness.industryAtmospheric correctionSoil Science550 - Earth sciencesGeologyImaging spectroscopyOpticsCalibrationRadiative transferRadiometryEnvironmental scienceComputers in Earth SciencesSpectral resolutionbusinessImage resolutionRemote sensingRemote Sensing of Environment
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A preliminary assessment of a detailed two stream short-wave narrow-band model using spectral radiation measurements

1997

Abstract A data bank of measurements of global, direct and diffuse solar spectral irradiances at ground level for clear skies has been compiled for Valencia (Spain) dating back to December 1992. The measurements were made with a commercial Li-cor 1800 spectroradiometer with a range of 300–1100 nm and a spectral resolution of 6 nm. A preliminary comparative assessment has been carried out between the experimental data and model data. The chosen model was a detailed narrow-band model (208 spectral intervals from 0.2 to 4 μm) developed at the “Laboratoire d'Optique Atmospherique (LOA)” of the University of Lille (France). This plane-parallel multilayer model uses a two-flux method to solve the…

SpectroradiometerSpectral power distributionRenewable Energy Sustainability and the EnvironmentRadiative transferRange (statistics)IrradianceEnvironmental scienceGeneral Materials ScienceSpectral resolutionSpectral lineAerosolRemote sensingSolar Energy
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