Search results for "LM"

showing 10 items of 19289 documents

Goldschmidt Abstracts 2010 – J

2010

010504 meteorology & atmospheric sciencesChemistryInorganic chemistryOxideNanoparticleengineering.material010502 geochemistry & geophysics01 natural scienceschemistry.chemical_compoundChemical engineeringCoatingPulmonary surfactantGeochemistry and PetrologyengineeringSewage treatment0105 earth and related environmental sciencesGeochimica et Cosmochimica Acta
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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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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Geochemistry of Noble Gases and CO2 in Fluid Inclusions From Lithospheric Mantle Beneath Wilcza Góra (Lower Silesia, Southwest Poland)

2018

Knowledge of the products originating from the subcontinental lithospheric mantle (SCLM) is crucial for constraining the geochemical features and evolution of the mantle. This study investigated the chemistry and isotope composition (noble gases and CO2 ) of fluid inclusions (FI) from selected mantle xenoliths originating from Wilcza Góra (Lower Silesia, southwest Poland), with the aim of integrating their petrography and mineral chemistry. Mantle xenoliths are mostly harzburgites and sometimes bear amphiboles, and are brought to the surface by intraplate alkaline basalts that erupted outside the north-easternmost part of the Eger (Ohře) Rift in Lower Silesia. Olivine (Ol) is classified int…

010504 meteorology & atmospheric sciencesGeochemistryengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)chemistry.chemical_compoundNoble gasenoble gases CO2 fluid inclusions mantle xenoliths European mantle SCLM MORB metasomatismFluid inclusionsMetasomatismlcsh:ScienceAmphibole0105 earth and related environmental sciencesBasaltEuropean mantleOlivineSCLMmetasomatismPartial meltingAmbientaleFluid inclusionMORBMantle xenolithSilicatemantle xenolithsfluid inclusionschemistrynoble gasesengineeringGeneral Earth and Planetary Scienceslcsh:QCO2Geology
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Abiotic and biotic controls on methane formation down to 2.5 km depth within the Precambrian Fennoscandian Shield

2017

Abstract Despite a geological history characterised by high temperature and pressure processes and organic carbon deprived crystalline bedrock, large amounts of hydrocarbons are found in deep groundwaters within Precambrian continental shields. In many sites, methane comprises more that 80% of the dissolved gas phase reaching concentrations of tens of mmol l −1 . In this study, we used isotopic methods to study the carbon isotope systematics and sources of crustal methane within the Fennoscandian Shield. The main study sites were the Outokumpu Deep Drill Hole and the Pyhasalmi mine in Finland, both of which allow groundwater sampling down to 2.5 km depth and have been previously studied for…

010504 meteorology & atmospheric sciencesMethanogenesista1171GeochemistryMineralogychemistry.chemical_element010502 geochemistry & geophysicsmetaani01 natural sciencesMethanechemistry.chemical_compoundPrecambrianPyhäsalmikalsiittiGeochemistry and PetrologyNatural gasgrafiitti0105 earth and related environmental sciencesTotal organic carbongraphitebusiness.industrymethane15. Life on landethaneOutokumpuchemistryvetycarbon isotopes13. Climate actionIsotopes of carbonhydrogenFennoscandian shieldbusinesscalciteCarbonGroundwaterGeologyGeochimica et Cosmochimica Acta
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Inflight Radiometric Calibration of New Horizons' Multispectral Visible Imaging Camera (MVIC)

2017

© 2016 Elsevier Inc. We discuss two semi-independent calibration techniques used to determine the inflight radiometric calibration for the New Horizons’ Multi-spectral Visible Imaging Camera (MVIC). The first calibration technique compares the measured number of counts (DN) observed from a number of well calibrated stars to those predicted using the component-level calibration. The ratio of these values provides a multiplicative factor that allows a conversation between the preflight calibration to the more accurate inflight one, for each detector. The second calibration technique is a channel-wise relative radiometric calibration for MVIC's blue, near-infrared and methane color channels us…

010504 meteorology & atmospheric sciencesMultispectral imageFOS: Physical sciencesField of view01 natural sciencesOptics0103 physical sciencesCalibration010303 astronomy & astrophysicsRadiometric calibrationInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesRemote sensingEarth and Planetary Astrophysics (astro-ph.EP)Pixelbusiness.industryDetectorAstrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsPlanetary Data SystemPanchromatic filmSpace and Planetary ScienceEnvironmental scienceAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for AstrophysicsbusinessAstrophysics - Earth and Planetary Astrophysics
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Predicted temperature-increase-induced global health burden and its regional variability

2019

An increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO2 concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010–2099 is largest in Canada (1.16 °C/100 ppm) and Finland (1.14 °C/100 ppm), while it is smallest in Ireland (0.62 °C/100 ppm) and Argentina (0.63 °C/100 ppm). In addition, for each 1 °C temperature increase, the amount of excess mortality is increased largely in tropical countries such as Vietnam (10.…

010504 meteorology & atmospheric sciencesvulnerabilityVulnerabilityHot temperatureprojection010501 environmental sciencesGlobal Health01 natural sciencesGlobal WarmingRegional variationHot TemperatureAnimal scienceElderly populationPhysical Sciences and MathematicsGlobal healthHumansClimate changeProjectionMortalitylcsh:Environmental sciences0105 earth and related environmental sciencesGeneral Environmental Sciencelcsh:GE1-350Excess mortalityTemperatureregional variationPublic Health Global Health Social Medicine and EpidemiologyAtmospheric temperature rangemortality3. Good healthFolkhälsovetenskap global hälsa socialmedicin och epidemiologiclimate changeRegional variationAvaliação do Impacte em Saúde13. Climate actionEnvironmental scienceDeterminantes da Saúde e da DoençaForecasting
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Social vulnerability to climate policies: Building a matrix to assess policy impacts on well-being

2021

In this article, we address the social vulnerability of people to climate mitigation policies and contribute to assessing the social impacts of climate policies by introducing a matrix tool for conducting vulnerability assessments and participatory climate policy planning. The matrix serves as a methodological tool for identifying social groups in their social spaces. First, we lay the foundation for the matrix by linking social vulnerability to equality and justice, demonstrating the importance of addressing social vulnerability in climate policy design and research. Next, we introduce the ways in which social vulnerability has been addressed in the integration of social and climate policy…

010504 meteorology & atmospheric sciencesvulnerabilityhyvinvointiGeography Planning and DevelopmentVulnerabilityContext (language use)010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesEconomic JusticeSocial groupilmastopolitiikkawell-beingVulnerability assessmentPolitical scienceparticipationEnvironmental planninghaavoittuvuusosallistuminen0105 earth and related environmental sciencesevaluationCorporate governancesocial equalityWelfare stateoikeudenmukaisuussosiaalinen oikeudenmukaisuusjusticeeriarvoisuusarviointiSocial vulnerabilitysosiaaliset vaikutuksetEnvironmental Science & Policy
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Bodegas, lagares y almazaras en el territorio de Kelin (siglos V-III a. C.): el caso de la Rambla de la Alcantarilla (Requena, Valencia)

2016

Archaeological evidences date the expansion of grape vineyards in the territory of the Iberian Iron Age city of Kelin from the 5th to 3rd centuries BC; although the origins are documented in the 7th BC. One of the singularities of this territory is the existence of outdoors stone structures for the production of wine and oil. All are located in a specific area of the territory (la Alcantarilla and Los Morenos ravines) (Requena, Valencia), and are associated with archaeological materials that allow date them as Iberian. In this paper we approach the rural settlement pattern in la Alcantarilla ravine and we present in detail the archaeological sites of Rambla de la Alcantarilla and Solana de …

010506 paleontologyArcheologyHistoryBodegascultura ibérica01 natural sciencesArqueologíalagar0601 history and archaeologyRural settlementlagar rupestreValenciaHábitat ruralhábitat rural0105 earth and related environmental sciencesgeographygeography.geographical_feature_category060102 archaeologybiology06 humanities and the artsalmazarabiology.organism_classificationbodegaArchaeologyLagarAlmazaraLagar; Bodega; Almazara; Hábitat rural; Edad del HierroArchaeologyEdad del HierroRavineWine press; Cellar; Oil Press; Rural habitat; Iberian Iron Ageedad del hierroCC1-960Archivo Español de Arqueología
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Captación y selección de materias primas en la primera metalurgia del Sureste de la península ibérica

2020

The authors are grateful for the technical and human support provided by SGIker of UPV/EHU and European funding (ERDF and ESF). We are also in debt with Eduardo Galán, Ruth Maicas and Carmen Cacho, curators of the Museo Arqueológico Nacional (Madrid) for facilitating the sampling and study of metal objects as well as with Ignacio Soriano Llopis for his help on the selection and sampling of the Palmela points, with Massimo Chiaradia who performed the analyses of the Palmela points at the Department of Earth Sciences (University of Geneva, Switzerland) and with Óscar García Vuelta for his pictures of some assemblages. We also appreciate and the careful work of editing and style of the TP edit…

010506 paleontologyArcheology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryLead isotope analysisestudios de procedenciaRaw materialStructural basinProvenance Studies01 natural sciencesAnálisis de Isótopos de Plomosudeste de la península ibéricaSoutheast IberiaProcurementSudeste de la Península IbéricaEstudios de ProcedenciaArqueometalurgiaHuman settlement0601 history and archaeologyArchaeometallurgyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory060102 archaeologybiologyMetallurgyTrace elementanálisis de isótopos de plomoLead Isotope Analysis06 humanities and the artsChalcolithicCalcolíticobiology.organism_classificationChalcolithicAlmeriaarqueometalurgiaGeographyArchaeology13. Climate actionWestern europecalcolíticoCC1-960Trabajos de Prehistoria
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