Search results for "Earth sciences"

showing 10 items of 2281 documents

Recent Advances in Techniques for Hyperspectral Image Processing

2009

International audience; Imaging spectroscopy, also known as hyperspectral imaging, has been transformed in less than thirty years from being a sparse research tool into a commodity product available to a broad user community. Currently, there is a need for standardized data processing techniques able to take into account the special properties of hyperspec- tral data. In this paper, we provide a seminal view on recent advances in techniques for hyperspectral image processing. Our main focus is on the design of techniques able to deal with the high-dimensional nature of the data, and to integrate the spa- tial and spectral information. Performance of the discussed techniques is evaluated in …

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesSoil ScienceImage processing02 engineering and technologyMachine learningcomputer.software_genre01 natural sciences[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingComputer visionComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingData processingContextual image classificationbusiness.industryHyperspectral imagingGeologyImaging spectroscopyInformation extractionKernel methodSnapshot (computer storage)Artificial intelligencebusinesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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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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Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with …

2011

International audience; Neural networks trained over radiative transfer simulations constitute the basis of several operational algorithms to estimate canopy biophysical variables from satellite reflectance measurements. However, only little attention was paid to the training process which has a major impact on retrieval performances. This study focused on the several modalities of the training process within neural network estimation of LAI, FCOVER and FAPAR biophysical variables. Performances were evaluated over both actual experimental observations and model simulations. The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test dataset…

010504 meteorology & atmospheric sciencesComputer scienceGaussian0211 other engineering and technologiesSoil ScienceCANOPY BIOPHYSICAL CHARACTERISTICS02 engineering and technologyNEURAL NETWORK01 natural sciencesTransfer functionsymbols.namesakeAtmospheric radiative transfer codesRadiative transferRange (statistics)Sensitivity (control systems)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingArtificial neural networkGeologySigmoid functionRELATION SOL-PLANTE-ATMOSPHEREMODEL INVERSION[SDE]Environmental SciencessymbolsINDICE FOLIAIRE
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Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

2016

Abstract. Image processing of X-ray-computed polychromatic cone-beam micro-tomography (μXCT) data of geological samples mainly involves artefact reduction and phase segmentation. For the former, the main beam-hardening (BH) artefact is removed by applying a best-fit quadratic surface algorithm to a given image data set (reconstructed slice), which minimizes the BH offsets of the attenuation data points from that surface. A Matlab code for this approach is provided in the Appendix. The final BH-corrected image is extracted from the residual data or from the difference between the surface elevation values and the original grey-scale values. For the segmentation, we propose a novel least-squar…

010504 meteorology & atmospheric sciencesComputer scienceStratigraphySoil ScienceImage processing010502 geochemistry & geophysicsResidual01 natural sciences550 Earth scienceslcsh:StratigraphyGeochemistry and PetrologyLeast squares support vector machineSegmentationlcsh:QE640-6990105 earth and related environmental sciencesEarth-Surface ProcessesPixelbusiness.industrylcsh:QE1-996.5PaleontologyGeologyPattern recognition550 Geowissenschaftenlcsh:GeologyData setSupport vector machineGeophysicsData pointArtificial intelligencebusinessSolid Earth
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FAME: Software for analysing rock microstructures

2016

Determination of rock microstructures leads to a better understanding of the formation and deformation of polycrystalline solids. Here, we present FAME (Fabric Analyser based Microstructure Evaluation), an easy-to-use MATLAB®-based software for processing datasets recorded by an automated fabric analyser microscope. FAME is provided as a MATLAB®-independent Windows® executable with an intuitive graphical user interface. Raw data from the fabric analyser microscope can be automatically loaded, filtered and cropped before analysis. Accurate and efficient rock microstructure analysis is based on an advanced user-controlled grain labelling algorithm. The preview and testing environments simplif…

010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryOrientation (computer vision)AnalyserComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.file_format010502 geochemistry & geophysics01 natural sciencesVisualizationSoftwareComputer graphics (images)Batch processingExecutableComputers in Earth SciencesbusinesscomputerSimulation0105 earth and related environmental sciencesInformation SystemsRock microstructureGraphical user interfaceComputers & Geosciences
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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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Zircon and muscovite ages, geochemistry, and Nd-Hf isotopes for the Aktyuz metamorphic terrane: Evidence for an Early Ordovician collisional belt in …

2011

International audience; The Aktyuz metamorphic terrane in the Kyrgyz northern Tianshan consists of granitoid gneisses and migmatites with subordinate paragneisses, greenschists, presumed meta-ophiolites, and garnet amphibolite dykes that contain HP eclogite relicts. The gneisses and migmatites were previously considered to be Archaean and Palaeoproterozoic in age on the basis of α-Pb and U-Pb multigrain zircon dating. Zircons from a post-tectonic granite were previously dated at 692 ± 15 Ma, constraining the time of main deformation and metamorphism in the Aktyuz terrane to the Precambrian. The chemical characteristics of most granitoid samples are consistent with melting of chemically evol…

010504 meteorology & atmospheric sciencesContinental crustGeochemistryMetamorphism[SDU.STU]Sciences of the Universe [physics]/Earth SciencesGeology010502 geochemistry & geophysics01 natural sciencesDioritePrecambrian[SDU.STU] Sciences of the Universe [physics]/Earth SciencesEclogiteProtolithGeology0105 earth and related environmental sciencesZirconTerrane
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Kinematics, deformation partitioning and late Variscan magmatism in the Agly massif, Eastern Pyrenees, France

2020

International audience; In order to constrain the finite deformation pattern of the Variscan basement of the Agly massif, a detailed structural analysis over the whole Agly massif was performed. Our investigation combined geological mapping, reappraisal of published and unpublished data completed with our own structural work. Results are provided in the form of new tectonic maps and series of regional cross-sections through the Agly massif. At variance from previous studies, we identified three deformation fabrics named D1, D2 and D3. The D1 deformation is only relictual and characterized by a broadly northwest-southeast striking and eastward dipping foliation without any clear mineral and …

010504 meteorology & atmospheric sciencesCrustal thinningPlutonGneiss domeMetamorphism[SDU.STU]Sciences of the Universe [physics]/Earth Sciences010502 geochemistry & geophysics01 natural sciencesTranspressionLineationPetrologyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesVariscan orogengeographygeography.geographical_feature_categorylcsh:QE1-996.5GeologyMassifPlutonismAgly Massiflcsh:GeologySinistral and dextral[SDU]Sciences of the Universe [physics]eastern pyreneesShear zoneGeology
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Comparison of gap-filling techniques applied to the CCI soil moisture database in Southern Europe

2021

Abstract Soil moisture (SM) is a key variable that plays an important role in land-atmosphere interactions. Monitoring SM is crucial for many applications and can help to determine the impact of climate change. Therefore, it is essential to have continuous and long-term databases for this variable. Satellite missions have contributed to this; however, the continuity of the series is compromised due to the data gaps derived by different factors, including revisit time, presence of seasonal ice or Radio Frequency Interference (RFI) contamination. In this work, the applicability of different gap-filling techniques is evaluated on the ESA Climate Change Initiative (CCI) SM combined product, whi…

010504 meteorology & atmospheric sciencesDatabaseCorrelation coefficient0208 environmental biotechnologySoil ScienceGeology02 engineering and technologycomputer.software_genre01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringRandom forestSupport vector machineAutoregressive modelPrincipal component analysisPotential evaporationComputers in Earth Sciencescomputer0105 earth and related environmental sciencesMathematicsInterpolationRemote sensingRemote Sensing of Environment
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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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