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showing 10 items of 12132 documents

A roadmap for amphibious drilling at the Campi Flegrei caldera: insights from a MagellanPlus workshop

2019

Large calderas are among the Earth's major volcanic features. They are associated with large magma reservoirs and elevated geothermal gradients. Caldera-forming eruptions result from the withdrawal and collapse of the magma chambers and produce large-volume pyroclastic deposits and later-stage deformation related to post-caldera resurgence and volcanism. Unrest episodes are not always followed by an eruption; however, every eruption is preceded by unrest. The Campi Flegrei caldera (CFc), located along the eastern Tyrrhenian coastline in southern Italy, is close to the densely populated area of Naples. It is one of the most dangerous volcanoes on Earth and represents a key example of an acti…

010504 meteorology & atmospheric sciencesCalderasGeochemistryEnergy Engineering and Power TechnologyPyroclastic rockVolcanologyMagma chamberVolcanism010502 geochemistry & geophysics01 natural sciencesdrillingsouthern ItalycalderaCaldera14. Life underwater0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryMechanical Engineeringlcsh:QE1-996.5VolcanologyMagellanPlus workshopInternational Ocean Discovery Programlcsh:GeologyCampi Flegrei calderaVolcanoItaly13. Climate actionEruptionMagmacaldera Campi Flegrei monitopring system hydrothermal system IODPCampi FlegreiGeology
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LAI, FAPAR and FCOVER ground-truth map creation from FASat-C satellite imagery and in-situ measurements in Chimbarongo, Chile, for satellite products…

2016

[EN] In remote sensing, validation exercises are essential to ensure the quality of the products originated from satellite Earth observations. To assess the measurement uncertainty derived from satellite products, several ground field data from different ecosystems must be available for use. In the same order of importance, it is necessary to define data sampling and up-scaling methodologies to allow a suitable comparison between the ground data and the pixel size of the product. This paper shows the applied methodology used in the FP7 ImagineS project (Implementing Multi-scale Agricultural Indicators Exploiting Sentinels) to validate 10-days global LAI, FAPAR and vegetation cover products …

010504 meteorology & atmospheric sciencesCampaña de campoGeography Planning and Development0211 other engineering and technologiesFASat-Clcsh:G1-92202 engineering and technology01 natural sciencesBiophysical parametersValidationEarth and Planetary Sciences (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerParámetros biofísicosValidación15. Life on landGeographyField campaign13. Climate actionFASat-C biophysical parameters field campaign validation CopernicusCartographyHumanitieslcsh:Geography (General)CopernicusRevista de Teledetección
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Hydrothermal pressure-temperature control on CO2 emissions and seismicity at Campi Flegrei (Italy)

2021

Fluids supplied by stored magma at depth are causal factors of volcanic unrest, as they can cause pressurization/heating of hydrothermal systems. However, evidence for links between hydrothermal pressurization, CO2 emission and volcano seismicity have remained elusive. Here, we use recent (2010−2020) observations at Campi Flegrei caldera (CFc) to show hydrothermal pressure, gas emission and seismicity at CFc share common source areas and well-matching temporal evolutions. We interpret the recent escalation in seismicity and surface gas emissions as caused by pressure-temperature increase at the top of a vertically elongated (0.3–2 km deep) gas front. Using mass (steam) balance consideration…

010504 meteorology & atmospheric sciencesCampi Flegrei mantle geochemistry CO2 emission Fumarole compositions Hydrothermal systems Volcanic unrest Volcano seismicityInduced seismicity010502 geochemistry & geophysics01 natural sciencesHydrothermal circulationHydrothermal systemsCabin pressurizationGeochemistry and PetrologyCalderaPetrologyFumarole compositions0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryVolcanic unrest; Hydrothermal systems; Campi Flegrei; Fumarole compositions; CO2 emission; Volcano seismicityFront (oceanography)Volcano seismicityGeophysicsVolcanoVolume (thermodynamics)Volcanic unrestCO2 emissionMagmaCampi FlegreiGeology
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Exposure to mercury among 9-year-old Spanish children: Associated factors and trend throughout childhood

2019

Mercury is considered a neurotoxicant and human exposure occurs mainly from the consumption of marine species. We aimed to describe total mercury concentrations (THg) and associated factors in 9-year old children, as well as to explore the trend in THg from 4 to 9 years of age. The study population consisted of 9-year-old children participating in the INMA (Environment and Childhood) birth cohort study in Valencia, Spain (n = 405, 2013–2014). THg in hair samples was measured by atomic absorption spectrometry at the age of 4 and 9 years. Sociodemographic and dietary data was obtained through questionnaires. Multiple linear regression was used to explore the association between THg and covari…

010504 meteorology & atmospheric sciencesChild Diet exposure Environmental exposure Mercury Postnatal exposure SpainDiet exposureMotherschemistry.chemical_elementFood Contamination010501 environmental sciences01 natural sciencesWorld healthCohort StudiesEnvironmental healthmedicineAnimalsHumansChildlcsh:Environmental sciences0105 earth and related environmental sciencesGeneral Environmental Sciencelcsh:GE1-350Pregnancybusiness.industryPostnatal exposureSwordfishFishesMercuryEnvironmental exposureEnvironmental exposuremedicine.diseaseConfidence intervalMercury (element)SeafoodchemistrySpainChild PreschoolMultivariate AnalysisLinear ModelsPopulation studyFemalebusinessBody mass indexHairEnvironment International
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Vegetation vulnerability to drought in Spain

2014

[EN] Frequency of climatic extremes like long duration droughts has increased in Spain over the last century.The use of remote sensing observations for monitoring and detecting drought is justified on the basis that vegetation vigor is closely related to moisture condition. We derive satellite estimates of bio-physical variables such as fractional vegetation cover (FVC) from MODIS/EOS and SEVIRI/MSG time series. The study evaluates the strength of temporal relationships between precipitation and vegetation condition at time-lag and cumulative rainfall intervals. From this analysis, it was observed that the climatic disturbances affected both the growing season and the total amount of vegeta…

010504 meteorology & atmospheric sciencesClimateGeography Planning and Development0211 other engineering and technologiesSPIGrowing seasonlcsh:G1-92202 engineering and technology01 natural sciencesSequíaVegetation coverTropical vegetationEarth and Planetary Sciences (miscellaneous)medicineTeledetecciónPrecipitation021101 geological & geomatics engineering0105 earth and related environmental sciencesSequíasMoistureDroughtÍndices meteorológicos de sequíaVegetaciónVegetation cover15. Life on landRemote sensingVegetation dynamicsAridGeography13. Climate actionClimatologyClimamedicine.symptomVegetation (pathology)lcsh:Geography (General)
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A review of environmental impacts of winter road maintenance

2019

Abstract The need for winter road maintenance (WRM) is changing in cold regions due to climate change. How the different modes of WRM will contribute to future overall emissions from infrastructure is therefore of great interest to road owners with a view to a more sustainable, low-carbon future. In the quest for near-zero-emissions transport, all aspects of the transport sector need to be accounted for in the search for possible mitigation of emissions. This study used 35 peer-reviewed articles published between 2000 and 2018 to map available information on the environmental impacts and effect of WRM and reveal any research gaps. The articles were categorized according to their research th…

010504 meteorology & atmospheric sciencesCold climate0211 other engineering and technologiesClimate change02 engineering and technologyHighway maintenanceGeotechnical Engineering and Engineering Geology01 natural sciencesRoad transportFuel efficiencyGeneral Earth and Planetary SciencesEnvironmental scienceEnvironmental impact assessmentWinter maintenanceEnvironmental planningLife-cycle assessment021101 geological & geomatics engineering0105 earth and related environmental sciencesCold Regions Science and Technology
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Joint Gaussian processes for inverse modeling

2017

Solving inverse problems is central in geosciences and remote sensing. Very often a mechanistic physical model of the system exists that solves the forward problem. Inverting the implied radiative transfer model (RTM) equations numerically implies, however, challenging and computationally demanding problems. Statistical models tackle the inverse problem and predict the biophysical parameter of interest from radiance data, exploiting either in situ data or simulated data from an RTM. We introduce a novel nonlinear and nonparametric statistical inversion model which incorporates both real observations and RTM-simulated data. The proposed Joint Gaussian Process (JGP) provides a solid framework…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesNonparametric statisticsInverseInversion (meteorology)Statistical model02 engineering and technologyInverse problem01 natural sciencesData modelingNonlinear systemsymbols.namesakeAtmospheric radiative transfer codesRadiancesymbolsGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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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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Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing

2019

[EN] The interest of the scientific community on the remote observation of sun-induced chlorophyll fluorescence (SIF) has increased in the recent years. In this context, hyperspectral ground measurements play a crucial role in the calibration and validation of future satellite missions. For this reason, the European cooperation in science and technology (COST) Action ES1309 OPTIMISE has compiled three papers on instrument characterization, measurement setups and protocols, and retrieval methods (current paper). This study is divided in two sections; first, we evaluated the uncertainties in SIF retrieval methods (e.g., Fraunhofer line depth (FLD) approaches and spectral fitting method (SFM))…

010504 meteorology & atmospheric sciencesComputer scienceEconomicsGround spectrometersScience0211 other engineering and technologiesContext (language use)02 engineering and technologyGround spectrometer01 natural sciencesSpectral lineRetrieval methodApproximation errorSun-induced chlorophyll fluorescenceSensitivity (control systems)910 Geography & travelChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRetrieval methodsSpectrometerSun-induced chlorophyll fluorescence; Ground spectrometers; Retrieval methods1900 General Earth and Planetary SciencesQHyperspectral imagingsun-induced chlorophyll fluorescence; ground spectrometers; retrieval methods3. Good health10122 Institute of GeographyFISICA APLICADALine (geometry)General Earth and Planetary Sciencesddc:620Interpolation
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