Search results for " Clima"

showing 10 items of 4204 documents

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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Statistical retrieval of atmospheric profiles with deep convolutional neural networks

2019

Abstract Infrared atmospheric sounders, such as IASI, provide an unprecedented source of information for atmosphere monitoring and weather forecasting. Sensors provide rich spectral information that allows retrieval of temperature and moisture profiles. From a statistical point of view, the challenge is immense: on the one hand, “underdetermination” is common place as regression needs to work on high dimensional input and output spaces; on the other hand, redundancy is present in all dimensions (spatial, spectral and temporal). On top of this, several noise sources are encountered in the data. In this paper, we present for the first time the use of convolutional neural networks for the retr…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesWeather forecasting02 engineering and technologycomputer.software_genreAtmospheric measurements01 natural sciencesConvolutional neural networkLinear regressionRedundancy (engineering)Information retrievalInfrared measurementsComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesArtificial neural networkbusiness.industryDeep learningDimensionality reductionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionNoise (video)Artificial intelligencebusinesscomputerNeural networksISPRS Journal of Photogrammetry and Remote Sensing
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Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

2013

Imaging using lightweight, unmanned airborne vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology. The new, tunable, Fabry-Perot interferometer-based (FPI) spectral camera, which weighs less than 700 g, makes it possible to collect spectrometric image blocks with stereoscopic overlaps using light-weight UAV platforms. This new technology is highly relevant, because it opens up new possibilities for measuring and monitoring the environment, which is becoming increasingly important for many environmental challenges. Our objectives were to investigate the processing and use of this new type of image data in precision agriculture. We developed the entire pro…

010504 meteorology & atmospheric sciencesComputer scienceScienceta11710211 other engineering and technologiesPoint cloudStereoscopyradiometry02 engineering and technologyphotogrammetry01 natural scienceslaw.inventionspectrometryradiometriamaatalouslawbiomassa (teollisuus)photogrammetry; radiometry; spectrometry; hyperspectral; UAV; DSM; point cloud; biomass; agriculturefotogrammetriaagriculture021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingta1132. Zero hungerbiomassuavQHyperspectral imagingta4111photogrammetriaReflectivityhyperspektridsmInterferometryspektrometriahyperspectralPhotogrammetry13. Climate actionRemote sensing (archaeology)GeoreferenceGeneral Earth and Planetary SciencesRadiometrypistepilviPrecision agriculturepoint cloudRemote Sensing
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Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017

Made available in DSpace on 2018-12-11T17:11:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-03-01 Suomen Akatemia Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees repr…

010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesPoint cloudta117102 engineering and technologyradiometryphotogrammetry01 natural sciencesforestComputer visionForestRadiometrylcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113UAV; hyperspectral; photogrammetry; radiometry; point cloud; forest; classificationluokitus (toiminta)ta114business.industryHyperspectral imaging15. Life on landOtaNanoClassificationRandom forestPoint cloudTree (data structure)PhotogrammetryhyperspectralHyperspectralclassification13. Climate actionMultilayer perceptronPhotogrammetryGeneral Earth and Planetary SciencesRadiometryRGB color modellcsh:QArtificial intelligencebusinesspoint cloudRemote Sensing; Volume 9; Issue 3; Pages: 185
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Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
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Changements environnementaux survenant à la limite Oligocène/Miocène du bassin des Limagnes (Massif central, France).

2018

16 pages; International audience; Continental environments are very sensitive to climatic variations. A unique opportunity to study the climate changes around the Oligocene/Miocene boundary is offered by the Limagne graben Basin (France) where this stage boundary is well constrained by fossils. Indeed, some localities of the Limagne Graben Basin are so rich in mammal remains that they have become a European reference for mammal biostratigraphy. The dominant sedimentary facies of the lacustrine deposits in the northern part of the Limagne Graben Basin are composed of poorly cemented marls and calcarenites containing various plants and animals remains (e.g. algae, fish bones and teeth, gastro…

010504 meteorology & atmospheric sciencesContext (language use)Biostratigraphy010502 geochemistry & geophysics01 natural sciencesPaleontology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistrycarbonates lacustresMarl14. Life underwaterstromatolitebassin des Limagnes0105 earth and related environmental sciencesPalynologygeographygeography.geographical_feature_categoryLimagne Basinisotopes de l’oxygènebiologylimite oligo-miocèneoxygen isotopeslcsh:QE1-996.5GeologyMassif15. Life on landbiology.organism_classificationlacustrine carbonateGrabenlcsh:GeologyStromatolite13. Climate action[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyapatitePeriod (geology)Oligocene/Miocene boundarybiozoneGeologyBSGF - Earth Sciences Bulletin
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Multiple intrusive phases in the Leinster Batholith, Ireland: geochronology, isotope geochemistry and constraints on the deformation history

2017

The formation of granite batholiths, commonly by incremental assembly of small magma batches, and their correlation with tectonic events, on both local and regional scales, is crucial to understanding the evolution of the Earth9s continental crust. However, these correlations often rely on assumptions about the detailed relationship and timing of mapped units. Here we report how an integrated geochronological, structural and isotope geochemical study in only one key locality from the late Caledonian Leinster Batholith in SE Ireland provides the potential for unravelling essential questions on batholith petrogenesis. The Northern Unit of the Leinster Batholith intruded incrementally, as demo…

010504 meteorology & atmospheric sciencesContinental crustGeochemistryGeology15. Life on land010502 geochemistry & geophysics01 natural sciences13. Climate actionBatholithIsotope geochemistryMagmaGeochronologyGeology0105 earth and related environmental sciencesWall rockZirconPetrogenesisJournal of the Geological Society
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A geological field trip to the Côte d'Ivoire-Ghana transform margin

1998

Abstract During the Equanaute survey (June 1992), fourteen submersible dives were performed between 4950 and 2250 m water depths across the southern slope of the Cote d'Ivoire-Ghana Marginal Ridge (CIGMR), in the eastern Equatorial Atlantic. The CIGMR, a high-standing topographic marginal ridge along the Cote d'Ivoire-Ghana transform margin, is believed to result from a complex structural evolution due to the specific wrench-related rifting between Western Equatorial Africa and Northeastern Brazil, in Early Cretaceous times. In this paper we report and discuss geological observations made during dives, and sample analyses to resolve the lithology, paleoenvironmental conditions, age and orig…

010504 meteorology & atmospheric sciencesCôte d’Ivoire-GhanaLithologyAtlantique EquatorialMid-Atlantic RidgeAquatic ScienceStructural basin010502 geochemistry & geophysicsOceanography01 natural sciencesPaleontology14. Life underwaterGéologieCôte d’lvoire-Ghana0105 earth and related environmental sciencesEquatorial AtlanticgeographyRiftgeography.geographical_feature_categoryMarge transformanteGeology15. Life on landTectonics13. Climate actionRidgeClastic rockSedimentary rockTransform marginGeologyOceanologica Acta
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An autonomous petrological database for geodynamic simulations of magmatic systems

2022

SUMMARY Self-consistent modelling of magmatic systems is challenging as the melt continuously changes its chemical composition upon crystallization, which may affect the mechanical behaviour of the system. Melt extraction and subsequent crystallization create new rocks while depleting the source region. As the chemistry of the source rocks changes locally due to melt extraction, new calculations of the stable phase assemblages are required to track the rock evolution and the accompanied change in density. As a consequence, a large number of isochemical sections of stable phase assemblages are required to study the evolution of magmatic systems in detail. As the state-of-the-art melting diag…

010504 meteorology & atmospheric sciencesDatabaseFunction (mathematics)Parameter space010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesGeophysicsGeochemistry and Petrology13. Climate actionPhase (matter)Principal component analysisProbability distributionComputational problemCluster analysiscomputerMassively parallel0105 earth and related environmental sciencesGeophysical Journal International
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Dukono, the predominant source of volcanic degassing in Indonesia, sustained by a depleted Indian-MORB

2017

Co-auteur étranger; International audience; Located on Halmahera island, Dukono is among the least known volcanoes in Indonesia. A compilation of the rare available reports indicates that this remote and hardly accessible volcano has been regularly in eruption since 1933, and has undergone nearly continuous eruptive manifestation over the last decade. The first study of its gas emissions, presented in this work, highlights a huge magmatic volatile contribution into the atmosphere, with an estimated annual output of about 290 kt of SO2, 5000 kt of H2O, 88 kt of CO2, 5 kt of H2S and 7 kt of H2. Assuming these figures are representative of the long-term continuous eruptive activity, then Dukon…

010504 meteorology & atmospheric sciencesDepleted mantle sourceLavaEarth sciencedegassing budget[ SDU.STU.VO ] Sciences of the Universe [physics]/Earth Sciences/Volcanology010502 geochemistry & geophysics01 natural sciencesMantle (geology)Geochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistryevolution[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyDukono VolcanoSedimentologyComputingMilieux_MISCELLANEOUSMagma source0105 earth and related environmental sciencesDukono volcanogeographygeography.geographical_feature_categorySubductionGas emissionsmagma source evolution[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/GeochemistryVolcanodepleted mantle sourceDegassing budget13. Climate actionGeology
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