Search results for "télédétection"

showing 10 items of 26 documents

The 2009 Edition of the GEISA Spectroscopic Database

2011

The updated 2009 edition of the spectroscopic database GEISA (Gestion et Etude des Informations Spectroscopiques Atmosphériques; Management and Study of Atmospheric Spectroscopic Information) is described in this paper. GEISA is a computer-accessible system comprising three independent sub-databases devoted, respectively, to: line parameters, infrared and ultraviolet/visible absorption cross-sections, microphysical and optical properties of atmospheric aerosols. In this edition, 50 molecules are involved in the line parameters sub-database, including 111 isotopologues, for a total of 3,807,997 entries, in the spectral range from 10-6 to 35,877.031cm-1.The successful performances of the new …

010504 meteorology & atmospheric sciencesMeteorologyTélédétectionPhysique atomique et moléculaireMolecular spectroscopyInfrared atmospheric sounding interferometercomputer.software_genre01 natural sciencesLine parametersAtmospheric radiative transfer0103 physical sciences010303 astronomy & astrophysicsSpectroscopy0105 earth and related environmental sciencesRemote sensingWeb site[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]RadiationSpectroscopic database[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]DatabaseGEISAOptically activeAtmospheric aerosolsMolecular spectroscopyAtomic and Molecular Physics and Optics[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryOn boardSpectroscopie [électromagnétisme optique acoustique][ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistryEarth's and planetary atmospheresEnvironmental scienceAtmospheric absorptionAtmospheric absorptionCross-sectionscomputer
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A multisensor fusion approach to improve LAI time series

2011

International audience; High-quality and gap-free satellite time series are required for reliable terrestrial monitoring. Moderate resolution sensors provide continuous observations at global scale for monitoring spatial and temporal variations of land surface characteristics. However, the full potential of remote sensing systems is often hampered by poor quality or missing data caused by clouds, aerosols, snow cover, algorithms and instrumentation problems. A multisensor fusion approach is here proposed to improve the spatio-temporal continuity, consistency and accuracy of current satellite products. It is based on the use of neural networks, gap filling and temporal smoothing techniques. …

010504 meteorology & atmospheric sciencesMeteorologytélédétectionsatellite0211 other engineering and technologiesSoil Scienceréseau neuronal02 engineering and technology01 natural sciencessuivi de culturesInstrumentation (computer programming)Computers in Earth SciencesLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetationGeologyVegetationData fusionLAI time seriesSensor fusionMissing dataLAI time series;Vegetation;Modis;Temporal smoothing;Gap filling;Data fusionqualité des données13. Climate actionAutre (Sciences de l'ingénieur)Gap filling[SDE]Environmental SciencesEnvironmental scienceSatelliteModisTemporal smoothingScale (map)Smoothing
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Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia Anchor Station

2010

16 páginas, 9 figuras, 5 tablas.

010504 meteorology & atmospheric sciencestélédétectionMISSION SMOS0211 other engineering and technologiesSpaceespagne02 engineering and technologylcsh:Technology01 natural sciencesValidationTraitement du signal et de l'imagelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentlcsh:Environmental sciencesComputingMilieux_MISCELLANEOUSlcsh:GE1-350InclusionRetrievalMoistureModelling soil moistureSignal and Image processinglcsh:Geography. Anthropology. RecreationRemote sensingDISPOSITIF EXPERIMENTAL; MISSION SMOSProductseurope[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOS[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringGrowing seasonParameterizationSpatial distributionlcsh:TD1-1066SchemeHapexspectroradiomètre14. Life underwater[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerlcsh:TAMSR-Epays méditerranéenSalinityERS scatterometerlcsh:G13. Climate actionDISPOSITIF EXPERIMENTALSoil waterEnvironmental scienceRadiometry
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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PCR La confluence Saône-Doubs à l'âge du Fer (Vie s. av. J.-C. au Ier siècle de notre ère): Annexes. Vol. 2

2020

https://www.nakala.fr/data/11280/8d5ff3f9; Ce rapport est un document administratif destiné à rendre compte des actions réalisées au cours de l’année 2019 dans le cadre du Projet Collectif de Recherche consacré à la confluence Saône-Doubs à l’âge du Fer, coordonné par Emilie Dubreucq et Matthieu Thivet

Archélogie[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryArchéométrie[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryTélédétectionBioarcheologieCulture MatérielleGéophysiquesPaléoenvironnementsAnalyse documentaire
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EVASPA (EVapotranspiration Assessment from SPAce) tool: an overview

2013

International audience; Evapotranspiration (ET) is a fundamental variable of the hydrological cycle and its estimation is required for irrigation management, water resources planning and environmental studies. Remote sensing provides spatially distributed cost-effective information for ET maps production at regional scale. We have developed EVASPA too for mapping ET from remote sensing data at spatial and temporal scales relevant to hydrological or agronomica studies. EVASPA includes several algorithms for estimating evapotranspiration and various equations for estimating the required input information (net radiation, ground heat flux, evaporative fraction…), which provides a way to assess …

Crau-Camargue.010504 meteorology & atmospheric sciencesBiodiversité et Ecologietélédétectionévapotranspirationcartographie - évapotranspiration;télédétection;landsat;MODIS02 engineering and technologysatellite landsat01 natural sciencesirrigationremote sensingEvapotranspirationtélédétection spatialeWater cycle020701 environmental engineeringTemporal scalesGeneral Environmental Science6. Clean waterVariable (computer science)Remote sensing (archaeology)francealgorithmebase de données spatio temporellelandsat0207 environmental engineering[SCCO.COMP]Cognitive science/Computer sciencecartographie - évapotranspirationcycle hydrologiquecamargueBiodiversity and Ecologyressource en eauIrrigation management0105 earth and related environmental sciencesRemote sensingEnvironmental and Societyrayonnement netEvapotranspiration mappingflux conductif de chaleur dans le solcrauComputer science[SDE.ES]Environmental Sciences/Environmental and SocietyWater resourcesMODIS13. Climate actionInformatique (Sciences cognitives)cartographieGeneral Earth and Planetary SciencesEnvironmental scienceéchelle spatio temporelleEnvironnement et Société[SDE.BE]Environmental Sciences/Biodiversity and EcologyScale (map)
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Lidar : traitement avancé des données et interprétation archéologique - cours 2016

2016

Détection[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]archéologie[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statisticsTélédétection par lidarmodèle numérique de terrainlidar
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Data service platform for sentinel-2 surface reflectance and value-added products: System use and examples

2016

This technical note presents the first Sentinel-2 data service platform for obtaining atmospherically-corrected images and generating the corresponding value-added products for any land surface on Earth (http://s2.boku.eodc.eu/). Using the European Space Agency’s (ESA) Sen2Cor algorithm, the platform processes ESA’s Level-1C top-of-atmosphere reflectance to atmospherically-corrected bottom-of-atmosphere (BoA) reflectance (Level-2A). The processing runs on-demand, with a global coverage, on the Earth Observation Data Centre (EODC), which is a public-private collaborative IT infrastructure in Vienna (Austria) for archiving, processing, and distributing Earth observation (EO) data (http://www.…

Earth observation010504 meteorology & atmospheric sciencesreflectanceComputer sciencetélédétection0211 other engineering and technologies02 engineering and technology01 natural sciences7. Clean energyConsistency (database systems)remote sensingTraitement du signal et de l'imageatmospheric correctionremote sensing;sentinel-2;atmospheric correction;Sen2Cor;LAI;broadband HDRFlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSentinel-2; atmospheric correction; Sen2Cor; LAI; broadband HDRFbusiness.industrysentinel-2Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSignal and Image processingVegetationReflectivitybroadband HDRFLAIatmosphèreSen2Cor13. Climate actionGeneral Earth and Planetary Scienceslcsh:QData centerData as a servicebusinessdonnée satellitaire[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Spatio-temporal dynamics of a small arctic hydrosystem : nivo-glaciologic approaches in a climate change context (Austre Lovén glacier, Spitsberg, 79…

2011

Leaning on long field campaigns, this thesis offer both qualitative and quantitative overview of polarregion nivo-glaciologic dynamics through a geographic approach, in context of climate change. Thiswork is part of the Hydro-sensor FlOWS program taking place during the International Polar Year.Upstream of this pluridisciplinary program aimed at understanding the hydrological processes of asmall polar hydrosystem, it was necessary to add a more specific study on the role of snow and icein the hydrological equation : this is the subject of this PhD.The glacial basin of Austre Lovénbreen (10 km2, Spitsberg – 79°N) served as a field of study in ageographical approach at local scale. Many metho…

Physical geographyGlaciologyArctiqueTélédétectionAustre Lovénbreen[SHS.GEO] Humanities and Social Sciences/GeographyGeomaticsGlaciologieRemote sensingGISSIGSvalbardArcticGéomatiqueImage processingNivologieNivologyGéographie physiqueHydrologyTraitement de l'imageHydrologie
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