Search results for "resolution."

showing 10 items of 1825 documents

The high-resolution far-infrared spectrum of methane at the SOLEIL synchrotron

2010

International audience; As a tetrahedral molecule, methane has no permanent dipole moment. Its spectrum, however, displays faint absorption lines in the THz region, due to centrifugal distorsion effects. This is important for planetary applications since this region is used to measure methane concentration in some planetary atmospheres, in particular on Titan. Up to now, all measurements relied either on some old low resolution infrared absorption spectra, or on high resolution Stark measurements for low J values only. Even if these results have been reexamined recently [E. H. Wishnow, G. S. Orton, I. Ozier and H. P. Gush, J. Quant. Spectrosc. Radiat. Transfer 103, 102-117 (2007)], it seeme…

010504 meteorology & atmospheric sciencesAbsorption spectroscopyAnalytical chemistrySynchrotron radiationFar infrared7. Clean energy01 natural sciencesSpectral linelaw.inventionOpticsFar infraredlaw0103 physical sciencesAbsorption (logic)010303 astronomy & astrophysicsSpectroscopy0105 earth and related environmental sciencesPhysicsRadiationSynchrotron radiationbusiness.industryResolution (electron density)BremsstrahlungAtomic and Molecular Physics and OpticsSynchrotron[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry13. Climate action[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistrybusinessTitanMethaneLine intensities
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Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites

2020

We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites also known as EUMETSAT Polar System (EPS). A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one model per parameter. The method relies on multi-output Gaussian Processes Regression (GPR) trained over PROSAIL EPS simulations. A sensitivity analysis is performed to assess several sources of uncertainties in retrievals and maximize the positive impact of modeling the noise in training simulations. We describe the ma…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerComputer scienceImage and Video Processing (eess.IV)0211 other engineering and technologiesPolar orbit02 engineering and technologyVegetationAtmospheric modelElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesGround-penetrating radarFOS: Electrical engineering electronic engineering information engineeringSatelliteSensitivity (control systems)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

2020

Abstract This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR (Advanced Very High Resolution Radiometer) sensor on board MetOp (Meteorological–Operational) satellites forming the EUMETSAT (European Organization for the Exploitation of Meteorological Satellites) Polar System (EPS). The suite of LSA-SAF EPS vegetation products includes the leaf area index (LAI), the fractional vegetation cover (FVC), and the fraction of absorbed photosynthetically active radiation (FAPAR). LAI, FAPAR, and FVC characterize the structure and the functioning of vegetation and are key par…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerImage and Video Processing (eess.IV)0211 other engineering and technologies02 engineering and technologyVegetationElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionKrigingFOS: Electrical engineering electronic engineering information engineeringRadiative transferRange (statistics)Environmental scienceSatelliteSensitivity (control systems)Computers in Earth SciencesLeaf area indexEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 …

2018

Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valen…

010504 meteorology & atmospheric sciencesAgricultural siteMultispectral image0211 other engineering and technologiesImaging spectrometerHyperspectral imaging02 engineering and technology01 natural sciencesValencian communityMedium resolutionChlorophyll indexData acquisitionEnvironmental science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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A 3-Year Sample of Almost 1,600 Elves Recorded Above South America by the Pierre Auger Cosmic-Ray Observatory

2020

The time and location of the 1,598 verified and reconstructed elves, used for the analysis showcased in this paper, are publicly available on the website of the Pierre Auger Observatory (https://www.auger.org/ index.php/science/data). We wish to thank the World Wide Lightning Location Network (http://wwlln.net), a collaboration among over 50 universities and institutions, for providing the lightning location data used in this paper. We acknowledge Robert Marshall for providing one of the most advanced elve simulations to the public, a key tool in understanding the elves observed by the Pierre Auger Observatory. The successful installation, commissioning, and operation of the Pierre Auger Ob…

010504 meteorology & atmospheric sciencesAstronomyField of view010502 geochemistry & geophysics01 natural sciences7. Clean energyAugerlcsh:QB1-991ObservatoryultravioletStormddc:550UHE Cosmic Raystime resolutionCosmic-ray observatoryPhysicslcsh:QE1-996.5astro-ph.GeologyAugerwidth [beam]IonosphereField of viewGeologylcsh:AstronomyUHE [cosmic radiation]Environmental Science (miscellaneous)horizonLightningddc:530High Energy PhysicsIonosphereCosmic-ray observatory0105 earth and related environmental sciencesfluorescence [detector]backgroundFísicaAstronomyStormsensitivityLightningopticslcsh:GeologyElves UV fluorescence detectorsThunderstorm13. Climate actionExperimental High Energy PhysicsnetworkThunderstormGeneral Earth and Planetary SciencesElvesObservatory
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First light observations of the solar wind in the outer corona with the Metis coronagraph

2021

In this work, we present an investigation of the wind in the solar corona that has been initiated by observations of the resonantly scattered ultraviolet emission of the coronal plasma obtained with UVCS-SOHO, designed to measure the wind outflow speed by applying Doppler dimming diagnostics. Metis on Solar Orbiter complements the UVCS spectroscopic observations that were performed during solar activity cycle 23 by simultaneously imaging the polarized visible light and the H I Lyman-α corona in order to obtain high spatial and temporal resolution maps of the outward velocity of the continuously expanding solar atmosphere. The Metis observations, taken on May 15, 2020, provide the first H I …

010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaSolar windFOS: Physical sciencesAstrophysics01 natural sciencesWind speedlaw.inventionsymbols.namesakeSun: corona – solar wind – Sun: UV radiationlaw0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsCoronagraphSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysics[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]Sun: coronaAstronomy and AstrophysicsPlasmaSolar wind Sun: corona Sun: UV radiationSun: UV radiationCoronaSolar windAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceTemporal resolutionPhysics::Space PhysicssymbolsOutflowDoppler effect
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High-resolution stimulated Raman spectroscopy and analysis of the nu2, nu5 and 2 nu6 bands of 34SF6

2006

9 p.Special Issue: Nineteenth Colloquium on High Resolution Molecular Spectroscopy, Salamanca 11–16 September 2005

010504 meteorology & atmospheric sciencesBiophysicsAnalytical chemistryHigh resolution01 natural sciencesPreliminary analysisREGIONsymbols.namesakeMOLECULES0103 physical sciencesMoleculeStimulated ramanPhysical and Theoretical ChemistrySpectroscopyMolecular BiologyNU(3) BANDEMISSIONS0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]SPECTRUM010304 chemical physicsChemistryCOMBINATION BANDCondensed Matter Physics3. Good healthOctahedron[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]NON-CO2 GREENHOUSE GASESsymbolsRaman spectroscopySF6
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The joint sets on the Lilstock Benches, UK. Observations based on mapping a full resolution UAV-based image

2021

Outcrop studies of fracture networks are important to understand fractured reservoirs in the subsurface, but complete maps of all fractures in large outcrops are rare due to limitations of outcrop and image resolution. We manually mapped the first full-resolution UAV-based, Gigapixel dataset and DEM of the wave-cut Lilstock Benches in the southern Bristol Channel basin, a classic outcrop of layer-bound fracture networks in limestones. We present a map of the patterns and age relationships of successive sets of joints in dm-thick limestone layers separated by claystone beds. Using interpretation criteria based on crosscutting relationships, abutting and joint length, up to eight successive s…

010504 meteorology & atmospheric sciencesChannel (digital image)OutcropOrientation (computer vision)Geology010502 geochemistry & geophysics01 natural sciencesFracture (geology)Scale (map)Image resolutionJoint (geology)GeologySeismology0105 earth and related environmental sciencesNetwork model
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Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

2020

Remote sensing optical sensors onboard operational satellites cannot have high spectral, spatial and temporal resolutions simultaneously. In addition, clouds and aerosols can adversely affect the signal contaminating the land surface observations. We present a HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) algorithm to combine multispectral images of different sensors to reduce noise and produce monthly gap free high resolution (30 m) observations over land. Our approach uses images from the Landsat (30 m spatial resolution and 16 day revisit cycle) and the MODIS missions, both from Terra and Aqua platforms (500 m spatial resolution and daily revisit cycle). We implem…

010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologyMultispectral imageSoil Science02 engineering and technology01 natural sciencesArticleComputers in Earth SciencesImage resolution0105 earth and related environmental sciencesRemote sensingPropagation of uncertaintyNoise (signal processing)GeologyKalman filterData fusionSensor fusion020801 environmental engineeringMODIS13. Climate actionScalabilityGap fillingKalman filterLandsatSmoothingSmoothingRemote Sensing of Environment
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