Search results for "Atmospheric correction"

showing 10 items of 84 documents

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy–Leaving Sun–Induced Chlorophyll Fluorescence

2018

Estimates of Sun–Induced vegetation chlorophyll Fluorescence (SIF) using remote sensing techniques are commonly determined by exploiting solar and/or telluric absorption features. When SIF is retrieved in the strong oxygen (O 2 ) absorption features, atmospheric effects must always be compensated. Whereas correction of atmospheric effects is a standard airborne or satellite data processing step, there is no consensus regarding whether it is required for SIF proximal–sensing measurements nor what is the best strategy to be followed. Thus, by using simulated data, this work provides a comprehensive analysis about how atmospheric effects impact SIF estimations on proximal sensing, regarding: (…

1171 GeosciencesFLUXspectral fitting method (SFM)AIRBORNE010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesFlux02 engineering and technologyfraunhofer line discriminator (FLD)Surface pressure01 natural sciencesO2 transmittanceAtmospheric radiative transfer codesatmospheric pressureFIELD SPECTROSCOPYTransmittanceAstrophysics::Solar and Stellar AstrophysicsSPACESpectral resolutionAbsorption (electromagnetic radiation)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingproximal sensing4112 Forestrysun-induced chlorophyll fluorescence (SIF)Atmospheric pressureSTRESS DETECTIONPHOTOSYNTHESISQAtmospheric correctionO-2 transmittanceair temperatureREFLECTANCEsun–induced chlorophyll fluorescence (SIF)Physics::Space Physicssun–induced chlorophyll fluorescence (SIF); proximal sensing; O<sub>2</sub> transmittance; fraunhofer line discriminator (FLD); spectral fitting method (SFM); air temperature; atmospheric pressureLUMINESCENCEGeneral Earth and Planetary SciencesEnvironmental scienceABSORPTION-BANDSAstrophysics::Earth and Planetary AstrophysicsVEGETATIONRemote Sensing
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Land use classification from multitemporal Landsat imagery using the Yearly Land Cover Dynamics (YLCD) method

2011

Abstract Several previous studies have shown that the inclusion of the LST (Land Surface Temperature) parameter to a NDVI (Normalized Difference Vegetation Index) based classification procedure is beneficial to classification accuracy. In this work, the Yearly Land Cover Dynamics (YLCD) approach, which is based on annual behavior of LST and NDVI, has been used to classify an agricultural area into crop types. To this end, a time series of Landsat-5 images for year 2009 of the Barrax (Spain) area has been processed: georeferenciation, destriping and atmospheric correction have been carried out to estimate NDVI and LST time series for year 2009, from which YLCD parameters were estimated. Then…

2. Zero hungerGlobal and Planetary Change010504 meteorology & atmospheric sciencesLand surface temperatureLand useVegetation classification0211 other engineering and technologiesAtmospheric correction02 engineering and technologyLand cover15. Life on landManagement Monitoring Policy and Law01 natural sciencesNormalized Difference Vegetation IndexCropGeographyComputers in Earth SciencesScale (map)021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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Improved land surface emissivities over agricultural areas using ASTER NDVI

2006

Abstract Land surface emissivity retrieval over agricultural regions is important for energy balance estimations, land cover assessment and other related environmental studies. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) produces images of sufficient spatial resolution (from 15 m to 90 m) to be of use in agricultural studies, in which fields of crops are too small to be well-resolved by low resolution sensors. The ASTER project generates land surface emissivity images as a Standard Product (AST05) using the Temperature/Emissivity Separation (TES) algorithm. However, the TES algorithm is prone to scaling errors in estimating emissivities for surfaces with low s…

Advanced Spaceborne Thermal Emission and Reflection RadiometerRadiometerMean squared errorAtmospheric correctionEmissivitySoil ScienceEnvironmental scienceGeologyLand coverComputers in Earth SciencesImage resolutionNormalized Difference Vegetation IndexRemote sensingRemote Sensing of Environment
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Split-Window Coefficients for Land Surface Temperature Retrieval From Low-Resolution Thermal Infrared Sensors

2008

In this letter, we provide a complete set of split-window coefficients that can be used to retrieve land surface temperature (LST) from thermal infrared sensors onboard the most popular remote-sensing satellites: ERS-ATSR2, ENVISAT-AATSR, Terra/Aqua-MODIS, NOAA series-AVHRR, METOP-AVHRR3, GOES series-IMAGER, and MSG1/MSG2-SEVIRI. The coefficients have been obtained by minimization from an extensive simulated database constructed from MODTRAN radiative transfer code calculations, emissivity spectra extracted from spectral libraries, and spectral response functions of the thermal bands considered. This letter also analyzes the magnitude of the error on the LST retrieval and the contribution t…

Advanced very-high-resolution radiometerMODTRANLookup tableRadiative transferEmissivityAtmospheric correctionEnvironmental scienceScale (descriptive set theory)Moderate-resolution imaging spectroradiometerElectrical and Electronic EngineeringGeotechnical Engineering and Engineering GeologyRemote sensingIEEE Geoscience and Remote Sensing Letters
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A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns

2005

The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration pr…

Ancillary dataEarth observationSpectrometerAtmospheric correctionRadiative transferCalibrationGeneral Earth and Planetary SciencesHyperspectral imagingEnvironmental science550 - Earth sciencesElectrical and Electronic EngineeringImage resolutionRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Techniques for measuring aerosol attenuation using the Central Laser Facility at the Pierre Auger Observatory

2013

The Pierre Auger Observatory in Malargue, Argentina, is designed to study the properties of ultra-high energy cosmic rays with energies above 10(18) eV. It is a hybrid facility that employs a Fluorescence Detector to perform nearly calorimetric measurements of Extensive Air Shower energies. To obtain reliable calorimetric information from the FD, the atmospheric conditions at the observatory need to be continuously monitored during data acquisition. In particular, light attenuation due to aerosols is an important atmospheric correction. The aerosol concentration is highly variable, so that the aerosol attenuation needs to be evaluated hourly. We use light from the Central Laser Facility, lo…

AstronomyDetector alignment and calibration methods (lasers sources particle-beams)01 natural sciencesDetector alignment and calibration methods (laserObservatoryATMOSPHERIC CONDITIONSDetector alignment and calibration methodsInstrumentationcosmic rayMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicsatmospheric monitoring[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]PhysicsData analysiparticle-beams)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGCentral Laser FacilityFísica nuclearAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenasources[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]sourceAuger Experimentaerosols * Authors are listed on the following pagesData analysisFOS: Physical sciencesCosmic rayAuger Experiment; cosmic rays; atmospheric monitoring; aerosolsOpticscosmic raysUltra-high energy cosmic rays. atmospheric monitoring. aerosols0103 physical sciences010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Pierre Auger Observatory010308 nuclear & particles physicsbusiness.industryLarge detector systems for particle and astroparticle physicsAttenuationAtmospheric correctionUltra-high energy cosmic rays[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]AerosolDetector alignment and calibration methods (lasersAir showerdetector alignment and calibration methods (lasers; sources; particle-beams); large detector systems for particle and astroparticle physics; data analysisExperimental High Energy PhysicsLarge detector systems for particle and astroparticle physicbusinessRAIOS CÓSMICOSaerosolsSYSTEM
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Canopy directional emissivity: Comparison between models

2005

Land surface temperature plays an important role in many environmental studies, as for example the estimation of heat fluxes and evapotranspiration. In order to obtain accurate values of land surface temperature, atmospheric, emissivity and angular effects should be corrected. This paper focuses on the analysis of the angular variation of canopy emissivity, which is an important variable that has to be known to correct surface radiances and obtain surface temperatures. Emissivity is also involved in the atmospheric corrections since it appears in the reflected downwelling atmospheric term. For this purpose, five different methods for simulating directional canopy emissivity have been analyz…

Astrophysics::High Energy Astrophysical PhenomenaAtmospheric correctionSoil ScienceGeologyAtmospheric temperaturePhysics::GeophysicsHeat fluxEvapotranspirationRadianceRadiative transferEmissivityAstrophysics::Solar and Stellar AstrophysicsEnvironmental scienceBidirectional reflectance distribution functionComputers in Earth SciencesRemote sensingRemote Sensing of Environment
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Estimation of atmospheric water vapour content from direct measurements of radiance in the thermal infrared region

2012

Atmospheric water vapour content is a required parameter in thermal infrared (TIR) to carry out processes such as atmospheric correction or retrieving atmospheric factors (downwelling or upwelling irradiance, transmittance of the atmosphere and so on). This study proposes an alternative method to the ones already in use to measure water vapour content from direct measurements of downwelling atmospheric radiance in the TIR range. It was possible to estimate a linear relationship between atmospheric water vapour and downwelling atmospheric radiance using a simulated study, based on data from a radiosounding database. A subsequent validation concludes that it is possible to obtain water vapour…

AtmosphereDownwellingEarth and Planetary Sciences (miscellaneous)RadianceTransmittanceIrradianceAtmospheric correctionEnvironmental scienceUpwellingElectrical and Electronic EngineeringAtmospheric sciencesWater vaporRemote sensingRemote Sensing Letters
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Atmospheric water vapour content retrieval from visible and thermal data in the framework of the DAISEX campaigns

2005

In this paper three methods are presented that retrieve the atmospheric water vapour from DAIS (digital airborne imaging spectrometer) data in the framework of the DAISEX (DAIS Experiment) campaigns carried out by ESA (European Space Agency). The three methodologies analysed in the paper are: (i) the ratio technique, in which the water vapour is obtained from visible and near‐infrared bands; (ii) the split‐window technique; and (iii) the split‐window covariance‐variance ratio technique, in which the water vapour content is retrieved from thermal infrared bands. A comparison between the atmospheric water vapour content extracted from the DAIS images using these techniques and that obtained f…

AtmosphereMeteorologyThermalImaging spectrometerAtmospheric correctionGeneral Earth and Planetary SciencesAtmospheric water vapourEnvironmental scienceDaisAbsorption (electromagnetic radiation)Water vaporRemote sensingInternational Journal of Remote Sensing
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