Search results for "use"

showing 10 items of 21926 documents

Cloud detection on the Google Earth engine platform

2017

The vast amount of data acquired by current high resolution Earth observation satellites implies some technical challenges to be faced. Google Earth Engine (GEE) platform provides a framework for the development of algorithms and products built over this data in an easy and scalable manner. In this paper, we take advantage of the GEE platform capabilities to exploit the wealth of information in the temporal dimension by processing a long time series of satellite images. A cloud detection algorithm for Landsat-8, which uses previous images of the same location to detect clouds, is implemented and tested on the GEE platform.

010504 meteorology & atmospheric sciencesComputer scienceReal-time computingScalability0211 other engineering and technologiesCloud detectionSatellite02 engineering and technologyDimension (data warehouse)Earth observation satellite01 natural sciences021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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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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Relations between Air Quality and Covid-19 Lockdown Measures in Valencia, Spain

2021

The set of measures to contain the diffusion of COVID-19 instituted by the European governments gave an unparalleled opportunity to improve our understanding of the transport and industrial sectors’ contribution to urban air pollution. The purpose of this study was to assess the impacts of the lockdown measures on air quality and pollutant emissions in Valencia, Spain. For this reason, we determined if there was a significant difference in the concentration levels of different particulate matter (PM) sizes, PM10, PM2.5, and NOx, NO2, NO, and O3, between the period of restrictions in 2020 and the same period in 2019. Our findings indicated that PM pollutant levels during the lockdown period…

010504 meteorology & atmospheric sciencesCoronavirus disease 2019 (COVID-19)Pollutant emissionsHealth Toxicology and Mutagenesisair pollutionAir pollutionlcsh:Medicine010501 environmental sciencesmedicine.disease_cause01 natural sciencesArticleToxicologylockdownmedicineHumansValenciaAir quality index0105 earth and related environmental sciencesPollutantbiologyparticulate matter (pm)Significant differencelcsh:RPublic Health Environmental and Occupational HealthParticulatesbiology.organism_classificationnitrogen oxidesozoneSpainCommunicable Disease ControlEnvironmental scienceParticulate MatterCovid-19Environmental MonitoringInternational Journal of Environmental Research and Public Health
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Land Use Affects Carbon Sources to the Pelagic Food Web in a Small Boreal Lake

2016

Small humic forest lakes often have high contributions of methane-derived carbon in their food webs but little is known about the temporal stability of this carbon pathway and how it responds to environmental changes on longer time scales. We reconstructed past variations in the contribution of methanogenic carbon in the pelagic food web of a small boreal lake in Finland by analyzing the stable carbon isotopic composition (δ13C values) of chitinous fossils of planktivorous invertebrates in sediments from the lake. The δ13C values of zooplankton remains show several marked shifts (approx. 10 ‰), consistent with changes in the proportional contribution of carbon from methane-oxidizing bacteri…

010504 meteorology & atmospheric sciencesDrainage basinMarine and Aquatic SciencesSocial Scienceslcsh:MedicinePlant SciencemaankäyttöForests580 Plants (Botany)01 natural sciences540 Chemistrylcsh:ScienceFinlandSedimentary GeologyMultidisciplinarygeography.geographical_feature_categoryGeographyEcologyδ13CEcologyPlant AnatomyGeologyAgricultureGeneral MedicinePlantsPlanktonTerrestrial EnvironmentsFood webpelagic food webPollenGeneral Agricultural and Biological SciencesResearch ArticleFreshwater Environments010506 paleontologyFood ChainAlgaeta1172chemistry.chemical_elementcarbon sourcesHuman GeographyZooplanktonZooplanktonEcosystemsGeneral Biochemistry Genetics and Molecular BiologyCarbon cycleAnimalsHumansPetrology0105 earth and related environmental sciencesgeographyEcology and Environmental Scienceslcsh:ROrganismsAquatic EnvironmentsBiology and Life Sciencesland usePelagic zoneBodies of Water15. Life on landInvertebratesCarbonLakesDaphniachemistryBoreal13. Climate actionPhytoplanktonEarth Sciences570 Life sciences; biologyta1181Sedimentlcsh:Qsmall boreal lakesCarbonPLoS ONE
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Trends in global research in deforestation. A bibliometric analysis

2018

The main aim of this study was to analyse topics of research, scientific production, collaboration among countries, and most cited papers on deforestation through a bibliometric and social network study of articles found in the Web of Science database. The most productive subject areas corresponded to Environmental Sciences, Ecology and Environmental Studies. The articles were published in 458 different journals. A total of 2051 research articles were obtained. The main challenges identified for deforestation include “land use change” “conservation” “climate change” “rain forest” and “reducing emissions from deforestation and degradation”. Social and economic topics are understudied. An imp…

010504 meteorology & atmospheric sciencesEcology (disciplines)Geography Planning and DevelopmentClimate change010501 environmental sciencesManagement Monitoring Policy and LawScientific research01 natural sciencesAmazoniaDeforestationRegional sciencemedia_common.cataloged_instanceLand use land-use change and forestryDeforestationEuropean union0105 earth and related environmental sciencesNature and Landscape Conservationmedia_commonSocial networkSubject areasAmazon rainforestbusiness.industryForestryInternational collaborationEnvironmental studiesbusinessLand Use Policy
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Linking photosynthesis and sun-induced fluorescence at sub-daily to seasonal scales

2018

Abstract Due to its close link to the photosynthetic process, sun-induced chlorophyll fluorescence (F) opens new possibilities to study dynamics of photosynthetic light reactions and to quantify CO2 assimilation rates. Although recent studies show that F is linearly related to gross primary production (GPP) on coarse spatial and temporal scales, it is argued that this relationship may be mainly driven by seasonal changes in absorbed photochemical active radiation (APAR) and less by the plant light use efficiency (LUE). In this work a high-resolution spectrometer was used to continuously measure red and far-red fluorescence and different reflectance indices within a sugar beet field during t…

010504 meteorology & atmospheric sciencesEconomicsPhotochemical reflectance index0211 other engineering and technologiesEddy covarianceGrowing seasonSoil Science02 engineering and technologyPhotochemical Reflectance IndexPhotosynthesisAtmospheric sciences01 natural sciencesFluorescence yieldSun-induced chlorophyll fluorescencemedicineddc:550Computers in Earth SciencesChlorophyll fluorescenceBiology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLight use efficiencyPhysicsDiurnal temperature variationPrimary productionGeologySeasonalitymedicine.diseaseChemistryEngineering sciences. Technology
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Understanding deep learning in land use classification based on Sentinel-2 time series

2020

AbstractThe use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter estimation to image classification and anomaly detection. Although the vast majority of studies report precision indicators, there is a lack of studies dealing with the interpretability of the predictions. This shortcoming hampers a wider adoption of DL approaches by a wider users community, as model’s decisions are not accountable. In applications that involve the management of public budgets or policy compliance, a better interpretability of predictions is strictly required. This work aims …

010504 meteorology & atmospheric sciencesEnvironmental economicsComputer scienceProcess (engineering)0211 other engineering and technologieslcsh:MedicineClimate changeContext (language use)02 engineering and technology01 natural sciencesArticleRelevance (information retrieval)lcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilityMultidisciplinaryLand useContextual image classificationbusiness.industryDeep learninglcsh:RClimate-change policy15. Life on landComputer scienceData scienceEnvironmental sciencesEnvironmental social sciences13. Climate actionlcsh:QAnomaly detectionArtificial intelligencebusinessCommon Agricultural PolicyAgroecologyScientific Reports
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Comparison of IAGOS in-situ water vapour measurements and ECMWF ERA-Interim Reanalysis data

2019

Abstract. Cirrus clouds and their potential formation regions, so-called ice-supersaturated regions (ISSRs) occur frequently in the tropopause region. It is assumed that ISSRs and cirrus clouds can change the tropopause structure by diabatic processes, driven by latent heating due to phase transition and interaction with radiation. For many research questions a three-dimensional picture including a sufficient temporal resolution of the water vapour fields in the tropopause region is required. This requirement is fulfilled nowadays by reanalysis products such as the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis. However, for a meaningful investigation of w…

010504 meteorology & atmospheric sciencesEuropean researchDiabaticHumidity01 natural sciencesClimatologyTemporal resolutionddc:550Environmental scienceRelative humidityCirrusTropopauseWater vapor0105 earth and related environmental sciences
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Petrographic and geochemical characterization of the Middle‒Upper Jurassic Fe–Mn crusts and mineralizations from Monte Inici (north-western Sicily): …

2021

AbstractFe–Mn concretions and mineralizations, associated with condensed horizons and hardground, are significant archives in ancient carbonate rocks. Their petro-chemical study allows an assessment of the palaeoenvironmental context in which they were formed also connected to their biotic or abiotic origin. At the western side of the Monte Inici (Fornazzo section, north-western Sicily) a well exposed outcrop of condensed pelagic limestones (Rosso Ammonitico facies: Middle‒Upper Jurassic) is well-known and thoroughly studied. In this section, the base of the Rosso Ammonitico facies consists of a very condensed level rich in fossils with a variable thickness deposited from the early Bathonia…

010504 meteorology & atmospheric sciencesGeochemistrySettore GEO/07 - Petrologia E PetrografiaContext (language use)engineering.material010502 geochemistry & geophysicsCarbonate hardgrounds01 natural sciencesDiagenesisPetrographyTodorokiteIsotopes of carbonFe–Mn crusts Frutexites Microbial mediation Mineralogy Trace elements REE Stable isotope Growth rateFaciesengineeringGeneral Earth and Planetary SciencesCarbonate rockGeology0105 earth and related environmental sciences
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