Search results for "Spectral"

showing 10 items of 3116 documents

Atmospheric and Instrumental Effects on the Fluorescence Remote Sensing Retrieval

2018

Accurately disentangling the tiny Solar–Induced Chlorophyll Fluorescence (SIF) from canopy reflected solar irradiance by using passive remote sensing techniques is always challenging. Regardless the scale at which SIF is measured, i.e., proximal sensing, airborne or satellite level; instrumental and atmospheric effects must be accounted for and compensated as part of the SIF retrieval strategy. Regarding the instrumental effects, the use of very high spectral resolution spectrometers makes mandatory an accurate characterization of the Instrument Spectral Response Function (ISRF); and – in the case of imager spectrometers – an accurate characterization of the full instrument response in the …

010504 meteorology & atmospheric sciencesSpectrometerAtmospheric correctionSolar irradiance01 natural sciences010309 optics0103 physical sciencesRadianceEnvironmental scienceSatelliteSpectral resolutionAbsorption (electromagnetic radiation)Image resolution0105 earth and related environmental sciencesRemote sensingIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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High‐resolution stimulated Raman spectroscopy and analysis of line positions and assignments for the ν 2 and ν 3 bands of 13 C 2 H 4

2016

High-resolution stimulated Raman spectra of13C2H4 in the regions of the ν2 and ν3 Raman active modes have been recorded at two temperatures (145 and 296 K) based on the quasi continuous-wave (cw) stimulated Raman spectrometer at Instituto de Estructura de la Materia IEM-CSIC in Madrid. A tensorial formalism adapted to X2Y4 planar asymmetric tops with D2h symmetry (developed in Dijon) and a program suite called D2hTDS (now part of the XTDS/SPVIEW spectroscopic software) were proposed to analyze and calculate the high-resolution spectra. A total of 103 and 51 lines corresponding to ν2 and ν3 Raman active modes have been assigned and fitted in wavenumber with a global root mean square deviatio…

010504 meteorology & atmospheric sciencesSpectrometerChemistryAnalytical chemistry02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesSpectral linesymbols.namesakePlanarsymbolsWavenumberGeneral Materials ScienceAtomic physics0210 nano-technologySpectroscopyRaman spectroscopyRoot-mean-square deviationSpectroscopyRaman scattering0105 earth and related environmental sciencesJournal of Raman Spectroscopy
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Very high spectral resolution imaging spectroscopy: The Fluorescence Explorer (FLEX) mission

2016

The Fluorescence Explorer (FLEX) mission has been recently selected as the 8th Earth Explorer by the European Space Agency (ESA). It will be the first mission specifically designed to measure from space vegetation fluorescence emission, by making use of very high spectral resolution imaging spectroscopy techniques. Vegetation fluorescence is the best proxy to actual vegetation photosynthesis which can be measurable from space, allowing an improved quantification of vegetation carbon assimilation and vegetation stress conditions, thus having key relevance for global mapping of ecosystems dynamics and aspects related with agricultural production and food security. The FLEX mission carries the…

010504 meteorology & atmospheric sciencesSpectrometerbusiness.industry0211 other engineering and technologies02 engineering and technology01 natural sciencesFluorescenceImaging spectroscopyOpticsCarbon assimilationRadianceFLEXEnvironmental scienceSpectral resolutionSpectroscopybusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Results from DROXO IV. EXTraS discovery of an X-ray flare from the Class I protostar candidate ISO-Oph 85

2016

X-ray emission from Young Stellar Objects (YSOs) is crucial to understand star formation. A very limited amount of X-ray results is available for the protostellar (ClassI) phase. A systematic search of transient X-ray phenomena combined with a careful evaluation of the evolutionary stage offer a widely unexplored window to our understanding of YSOs X-ray properties. Within the EXTraS project, a search for transients and variability in the whole XMM-Newton archive, we discover transient X-ray emission consistent with ISO-Oph 85, a strongly embedded YSO in the rho Ophiuchi region, not detected in previous time-averaged X-ray studies. We extract an X-ray light curve for the flare and determine…

010504 meteorology & atmospheric sciencesYoung stellar objectAstrophysics::High Energy Astrophysical PhenomenaPopulationFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesflares; X-rayslaw.inventionPhotometry (optics)law0103 physical sciencesProtostarAstrophysics::Solar and Stellar Astrophysicseducation010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencescoronaePhysicseducation.field_of_studystars: protostarsStar formationactivityAstronomy and AstrophysicsLight curveAstrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary ScienceSpectral energy distributionAstrophysics::Earth and Planetary AstrophysicsFlare
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Line parameters and shapes of high clusters: R-branch of the nu3 band of CH4 in He mixtures

2002

International audience; The IR absorption spectra of CH4 in pure gas and in mixture with helium were studied in the region of nu3 band at higher J line clusters R(17)-R(22). The frequencies and intensities of rotation-vibration lines were estimated from the experimental spectra at Doppler shape conditions. The line frequencies and intensities were calculated and used for the attribution of overlapped lines in clusters. The calculated line intensities are close to the experimental values. The calculated frequency structure of the higher J manifolds are somewhat wider than the observed one. The shapes of helium-broadened line clusters were compared with those calculated accounting for line mi…

010504 meteorology & atmospheric sciences[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]chemistry.chemical_elementSemiclassical physics01 natural sciencesSpectral linesymbols.namesakeLine parameters[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]0103 physical sciencesRelaxation matrixSpectroscopyMixing (physics)Helium0105 earth and related environmental sciencesLine (formation)PhysicsRadiationIr absorption010304 chemical physicsVibration-rotation spectraLine mixingAtomic and Molecular Physics and OpticschemistrysymbolsAtomic physicsDoppler effectMethane
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Atmosphere-Space Interactions Monitor, Instrument and First Results

2019

The Atmosphere-Space Interaction Monitor (ASIM) is an observatory mounted outside the Columbus module on the International Space Station. It has been operational since April 13th, 2018. It contains two instruments: The Modular X- and Gamma-ray Sensor (MXGS) and The Modular Multispectral Imaging Array (MMIA). The objective of ASIM is to monitor thunderstorms and auroras, including lightning discharges, especially discharges upwards above thunderstorms. This paper presents the instrument package and some first results.

010504 meteorology & atmospheric sciencesbusiness.industryMultispectral imageModular designSpace (mathematics)01 natural sciencesLightningAtmosphereObservatory0103 physical sciencesInternational Space StationThunderstormEnvironmental sciencebusiness010303 astronomy & astrophysics0105 earth and related environmental sciencesRemote sensingIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Models and data analysis tools for the Solar Orbiter mission

2020

All authors: Rouillard, A. P.; Pinto, R. F.; Vourlidas, A.; De Groof, A.; Thompson, W. T.; Bemporad, A.; Dolei, S.; Indurain, M.; Buchlin, E.; Sasso, C.; Spadaro, D.; Dalmasse, K.; Hirzberger, J.; Zouganelis, I.; Strugarek, A.; Brun, A. S.; Alexandre, M.; Berghmans, D.; Raouafi, N. E.; Wiegelmann, T.; Pagano, P.; Arge, C. N.; Nieves-Chinchilla, T.; Lavarra, M.; Poirier, N.; Amari, T.; Aran, A.; Andretta, V.; Antonucci, E.; Anastasiadis, A.; Auchère, F.; Bellot Rubio, L.; Nicula, B.; Bonnin, X.; Bouchemit, M.; Budnik, E.; Caminade, S.; Cecconi, B.; Carlyle, J.; Cernuda, I.; Davila, J. M.; Etesi, L.; Espinosa Lara, F.; Fedorov, A.; Fineschi, S.; Fludra, A.; Génot, V.; Georgoulis, M. K.; Gilbe…

010504 meteorology & atmospheric sciencescorona [Sun]Solar windAstrophysics[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]7. Clean energy01 natural scienceslaw.inventionData acquisitionlawCoronal mass ejectiongeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSun: magnetic fieldsQCComputingMilieux_MISCELLANEOUSQBPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]3rd-DASenergetic particlesSolar windCORONAL MASS EJECTIONSnumerical modelingmagnetic fields [Sun]solar windPhysics::Space PhysicsSystems engineeringAstrophysics::Earth and Planetary Astrophysicsatmosphere [Sun]fundamental parameters [Sun]Sun: generalFORCE-FREE FIELDSun: fundamental parametersSolar radiusContext (language use)STREAMER STRUCTUREOrbiter0103 physical sciencesOPTIMIZATION APPROACH[SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]POLARIZATION MEASUREMENTSSun: Solar wind3-DIMENSIONAL STRUCTURE0105 earth and related environmental sciencesSpacecraftbusiness.industrySun: corona[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]solar coronaMAGNETIC-FLUX ROPESAstronomy and AstrophysicsSHOCKS DRIVEN115 Astronomy Space scienceSPECTRAL-LINESQC Physics13. Climate actionSpace and Planetary SciencebusinessHeliosphereSun: atmosphereELECTRON-DENSITY
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A new method for the identification of archaeological soils by their spectral signatures in the vis-NIR region

2020

Abstract This paper introduces a statistical method to identify spectral signatures of buried archaeological remains and distinguish them from spectra of the background soil in the visible to near infrared region. The proposed method is based on the Principal Component Analysis (PCA). The difference between an archaeological spectrum and non-archaeological soil spectra is quantified by a so-called R value. R values larger than 1 indicate that the spectrum represents an archaeological material. The method is successfully applied to samples from five study sites in Italy and Hungary with special conditions. The reflection spectra are taken in a time-efficient way with a field spectrometer. Th…

010506 paleontologyArcheologySpectral signature060102 archaeologySpectrometerNear-infrared spectroscopy06 humanities and the artsCC01 natural sciencesArchaeologyField (geography)Spectral linePrincipal component analysisReflection (physics)0601 history and archaeologySpectral resolutionGeology0105 earth and related environmental sciencesJournal of Archaeological Science: Reports
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Conjunctive use of spectral gamma-ray logs and clay mineralogy in defining late Jurassic-early Cretaceous palaeoclimate change (Dorset, U.K.).

2006

Abstract Detrital clay mineralogy is controlled by weathered source rock, climate, transport and deposition that in turn influence the spectral gamma-ray (SGR) response of resultant sediments. Whilst a palaeoclimate signal in clay mineralogy has been established in some ancient successions, the SGR response remains contentious, largely because the data sets have yet to be collected at the same or appropriate vertical scales to allow comparison. In addition, the influence of organic matter on SGR is not always considered. Here, we present clay mineralogical, total organic carbon (TOC) and SGR analyses from the late Jurassic and early Cretaceous of the Wessex Basin, a period of previously doc…

010506 paleontologyJurassic-Cretaceous boundary[SDE.MCG]Environmental Sciences/Global ChangesSpectral gamma raychemistry.chemical_elementStructural basin010502 geochemistry & geophysicsOceanographyPalaeoclimate[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy01 natural sciencesPaleontology[SDE.MCG.CG]Environmental Sciences/Global Changes/domain_sde.mcg.cgDorsetKaoliniteOrganic matter[ SDE.MCG.CG ] Environmental Sciences/Global Changes/domain_sde.mcg.cg[ SDU.STU.MI ] Sciences of the Universe [physics]/Earth Sciences/MineralogyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesEarth-Surface ProcessesTotal organic carbonchemistry.chemical_classificationPaleontologyThoriumClay mineralogyCretaceous[ SDE.MCG ] Environmental Sciences/Global ChangesSource rockchemistry[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyPurbeck facies[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/Stratigraphy[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyClay minerals[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeology[SDU.STU.MI]Sciences of the Universe [physics]/Earth Sciences/Mineralogy
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