Search results for "Radiative Transfer"

showing 10 items of 551 documents

Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data

2009

This paper presents a revision, an update, and an extension of the generalized single-channel (SC) algorithm developed by Jimenez-Munoz and Sobrino (2003), which was particularized to the thermal-infrared (TIR) channel (band 6) located in the Landsat-5 Thematic Mapper (TM) sensor. The SC algorithm relies on the concept of atmospheric functions (AFs) which are dependent on atmospheric transmissivity and upwelling and downwelling atmospheric radiances. These AFs are fitted versus the atmospheric water vapor content for operational purposes. In this paper, we present updated fits using MODTRAN 4 radiative transfer code, and we also extend the application of the SC algorithm to the TIR channel …

Atmospheric sounding010504 meteorology & atmospheric sciencesMean squared errorMeteorologyMODTRAN0211 other engineering and technologies02 engineering and technologyAtmospheric modelAtmospheric temperature01 natural sciencesThematic MapperRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceElectrical and Electronic EngineeringAlgorithmWater vapor021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Search for a light exotic particle inJ/ψradiative decays

2012

Using a data sample containing 1.06x10^8 psi' events collected with the BESIII detector at the BEPCII electron-positron collider, we search for a light exotic particle X in the process psi' -> pi^+ pi^- J/psi, J/psi -> gamma X, X -> mu^+ mu^-. This light particle X could be a Higgs-like boson A^0, a spin-1 U boson, or a pseudoscalar sgoldstino particle. In this analysis, we find no evidence for any mu^+mu^- mass peak between the mass threshold and 3.0 GeV/c^2. We set 90%-confidence-level upper limits on the product-branching fractions for J/psi -> gamma A^0, A^0 -> mu^+ mu^- which range from 4x10^{-7} to 2.1x10^{-5}, depending on the mass of A^0, for M(A^0)<3.0 GeV/c^2. On…

BOSONSPhysicsNuclear and High Energy PhysicsParticle physicsRange (particle radiation)ENERGIESElectron–positron annihilationGRAVITINOFOS: Physical sciencesSupersymmetryHigh Energy Physics - Experimentlaw.inventionNuclear physicsPseudoscalarHigh Energy Physics - Experiment (hep-ex)lawSgoldstinoRadiative transferHigh Energy Physics::ExperimentColliderBosonPhysical Review D
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An Anthropometric Analysis of Seated and Standing People

2012

Thermal radiative exchanges of the human body with surrounding surfaces play an essential role in describing the thermal conditions of people in a given environment. Moreover, they could be induced by, among other causes, the presence of high intensity radiant sources, like lighting spots or infrared heating panels. This implies that a suitable set of radiation data related to human body anthropometry is required. This set of data mainly comprises the body surface area, the clothing area factor, the effective radiation area factor, and projected area factors. Several analytical or experimental methods may be utilized in order to compute these parameters. A detailed description of the most c…

Body surface areaeducation.field_of_studyDry Heat Exchanges clothing area factor effective radiation area factor projected area factors southern Italy.Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industrySample (material)PopulationAnthropometryClothingStatisticsProjected areaRadiative transferEnvironmental scienceeducationSet (psychology)business
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Imation of land surface emissivity differences in the split-window channels of AVHRR

1994

Abstract A method for estimating the difference between the channel emissivities in NOAA-AVHRR Channels 4 and 5 is proposed and applied to a data set from the HAPEX-MOBILHY experiment. The method is based on the separation between the atmospheric and emissivity effects in the brightness temperature difference measured with AVHRR Channels 4 and 5. Atmospheric profiles coincident to the satellite overpass and a radiative transfer model are required to estimate the atmospheric correction for brightness temperatures. With this procedure, the emissivity difference Δe is obtained at the satellite spatial and spectral resolution, which has a great interest for correcting thermal images with the sp…

BrightnessAtmospheric correctionSoil ScienceGeologyAtmospheric radiative transfer codesCoincidentBrightness temperatureEmissivityAstrophysics::Solar and Stellar AstrophysicsEnvironmental scienceSatelliteComputers in Earth SciencesSpectral resolutionPhysics::Atmospheric and Oceanic PhysicsRemote sensingRemote Sensing of Environment
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Evaluation of the DART 3D model in the thermal domain using satellite/airborne imagery and ground-based measurements

2011

This work provides an evaluation of the discrete anisotropy radiative transfer (DART) three-dimensional (3D) model in assessing the simulation of directional brightness temperatures (Tb) at both sensor and surface levels. Satellite imagery acquired with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), airborne imagery acquired with the Airborne Hyperspectral Scanner (AHS) sensor and ground-based measurements collected over an agricultural area were used to evaluate the DART model at nadir views. Directional radiometric temperatures measured with a goniometric system at ground level were also used to evaluate modelling results at different view angles. The DART mod…

BrightnessDart010504 meteorology & atmospheric sciencesMeteorology[SDE.IE]Environmental Sciences/Environmental Engineering0211 other engineering and technologiesAtmospheric correctionHyperspectral imaging02 engineering and technology01 natural sciencesAdvanced Spaceborne Thermal Emission and Reflection Radiometer[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEmissivityRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceSatellite imagerycomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingcomputer.programming_languageInternational Journal of Remote Sensing
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Roughness and vegetation parameterizations at L-band for soil moisture retrievals over a vineyard field

2015

Abstract The capability of L-band radiometry to monitor surface soil moisture (SM) at global scale has been analyzed in numerous studies, mostly in the framework of the ESA SMOS and NASA SMAP missions. To retrieve SM from L-band radiometric observations, two significant effects have to be accounted for, namely soil roughness and vegetation optical depth. In this study, soil roughness effects on retrieved SM values were evaluated using brightness temperatures acquired by the L-band ELBARA-II radiometer, over a vineyard field at the Valencia Anchor Station (VAS) site during the year 2013. Different combinations of the values of the model parameters used to account for soil roughness effects (…

BrightnessL bandRadiometerMean squared error[SDE.MCG]Environmental Sciences/Global ChangesSoil ScienceGeology15. Life on landL-bandAtmospheric radiative transfer codesL-MEBvegetationCalibrationsoil roughnessRadiometryEnvironmental sciencemicrowave radiometryComputers in Earth Sciencessoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSRemote sensingSMOS
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Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula

2017

19 pges, 10 figures, 6 tables

BrightnessState variable010504 meteorology & atmospheric sciences0211 other engineering and technologies[SDU.STU]Sciences of the Universe [physics]/Earth SciencesEmpirical orthogonal functions02 engineering and technologyAtmospheric scienceslcsh:Technology01 natural scienceslcsh:TD1-1066Atmospheric radiative transfer codesPeninsulalcsh:Environmental technology. Sanitary engineeringlcsh:Environmental sciencesRetrieval algorithm021101 geological & geomatics engineering0105 earth and related environmental scienceslcsh:GE1-350geographygeography.geographical_feature_categorylcsh:Tlcsh:Geography. Anthropology. RecreationCiències de la terralcsh:G[SDU]Sciences of the Universe [physics]Brightness temperatureRadiometryEnvironmental scienceImatges Processament Tècniques digitals
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Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

2019

Vegetation indices (VIs) are widely used in optical remote sensing to estimate biophysical variables of vegetated surfaces. With the advent of spectroscopy technology, spectral bands can be combined in numerous ways to extract the desired information. This resulted in a plethora of proposed indices, designed for a diversity of applications and research purposes. However, it is not always clear whether they are sensitive to the variable of interest while at the same time, responding insensitive to confounding factors. Hence, to be able to quantify the robustness of VIs, a systematic evaluation is needed, thereby introducing a widest possible variety of biochemical and structural heterogeneit…

Canopy010504 meteorology & atmospheric sciences0211 other engineering and technologiesImaging spectrometer02 engineering and technology01 natural sciencesprosailEnMAPRadiative transferSensitivity (control systems)Leaf area indexglobal sensitivity analysis; vegetation indices; PROSAIL; INFORM; ARTMOlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingartmoSpectral bandsVegetation15. Life on landinformglobal sensitivity analysisvegetation indicesGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QRemote Sensing
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Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies

2019

Imaging spectroscopy of vegetation requires methods for scaling and generalizing optical signals that are reflected, transmitted and emitted in the solar wavelength domain from single leaves and observed at the level of canopies by proximal sensing, airborne and satellite spectroradiometers. The upscaling embedded in imaging spectroscopy retrievals and validations of plant biochemical and structural traits is challenged by natural variability and measurement uncertainties. Sources of the leaf-to-canopy upscaling variability and uncertainties are reviewed with respect to: (1) implementation of retrieval algorithms and (2) their parameterization and validation of quantitative products through…

Canopy010504 meteorology & atmospheric sciencesUFSP13-8 Global Change and BiodiversityVegetation15. Life on land010502 geochemistry & geophysics01 natural sciencesArticleImaging spectroscopy10122 Institute of GeographyGeophysicsSpectroradiometer13. Climate actionGeochemistry and Petrology1906 Geochemistry and PetrologyRadiative transferMeasurement uncertaintyEnvironmental scienceSatellite910 Geography & travel1908 GeophysicsLeaf area index0105 earth and related environmental sciencesRemote sensing
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The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE

2019

Scattering and re-absorption have been recognized as relevant aspects for the interpretation of solar induced chlorophyll fluorescence (SIF) in vegetation remote sensing. In an earlier study [Yang and Van der Tol, RSE 215, 97–108, 2018] we addressed the problem of scattering and re-absorption of near-infrared fluorescence in the vegetation canopy. In this study we analyse within-leaf re-absorption of both red and near-infrared fluorescence using the radiative transfer model Fluspect. The leaf scattering determines the ratio of backward to total leaf fluorescence emission Fb/(Fb + Ff). Fluspect reproduces this ratio with an RMSE of less than 0.1, and explains the observed dependence of the s…

CanopySpectral shape analysisMaterials science010504 meteorology & atmospheric sciences0208 environmental biotechnologyAnalytical chemistryUT-Hybrid-DSoil ScienceRadiative transfer model02 engineering and technology01 natural sciencesRe absorptionScatteringAtmospheric radiative transfer codesComputers in Earth SciencesChlorophyll fluorescence0105 earth and related environmental sciencesRemote sensingScatteringNear-infrared spectroscopyGeologyFluorescence22/4 OA procedure020801 environmental engineeringITC-ISI-JOURNAL-ARTICLEChlorophyll fluorescenceRemote sensing of environment
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