Search results for "rfa"

showing 10 items of 11106 documents

Boulder coastal deposits at Favignana Island rocky coast (Sicily, Italy): Litho-structural and hydrodynamic control

2018

Boulders are frequently dislodged from rock platforms, transported and deposited along coastal zones by high-magnitude storm waves or tsunamis. Their size and shape are often controlled by the thickness of bedding planes as well as by high-angle to bedding fracture network. We investigate these processes along two coastal areas of Favignana Island by integrating geological data for 81 boulders, 49 rupture surfaces (called sockets) and fracture orientation and spacing with four radiocarbon dates, numerical hydrodynamic analysis, and hindcast numerical simulation data. Boulders are scattered along the carbonate platform as isolated blocks or in small groups, which form, as a whole, a disconti…

010504 meteorology & atmospheric sciencesBeddingSettore GEO/02 - Geologia Stratigrafica E SedimentologicaLithologyCarbonate platformSettore GEO/03 - Geologia StrutturaleStorm wave010502 geochemistry & geophysics01 natural sciencesHydrodynamic equationsBoulders; Fracture network; Hydrodynamic equations; Storm waves; Earth-Surface ProcessesBedBouldersGeomorphologyBoulder0105 earth and related environmental sciencesEarth-Surface ProcessesBoulders.Fracture network Hydrodynamic equations Storm wavesBermStorm wavesStormHydrodynamic equationClastic rockFracture (geology)Fracture networkFracture network;Storm waves;Boulders;Hydrodynamic equationsGeology
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Evaluating roughness effects on C-band AMSR-E observations

2014

International audience; The usefulness of microwave remote sensing to retrieve near-surface soil moisture has already been demonstrated in many studies. However, obtaining high quality estimates of soil moisture is influenced by many effects from soil, vegetation and atmosphere; one of the key parameters is surface roughness. This research focusses on a semi-empirical method to evaluate the roughness effects from space borne observations. Global maps of roughness effects are evaluated at C-band from AMSR-E measurements.

010504 meteorology & atmospheric sciencesC band[SDE.MCG]Environmental Sciences/Global Changes0211 other engineering and technologiessoil surface roughnessAMSR-E02 engineering and technologySurface finish01 natural sciences13. Climate actionEnvironmental sciencesoil moisture[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2014 IEEE Geoscience and Remote Sensing Symposium
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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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Potential impacts of a future Nordic bioeconomy on surface water quality

2020

AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…

010504 meteorology & atmospheric sciencesClimate ChangeVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910Geography Planning and DevelopmentLand managementClimate changemaankäyttö010501 environmental sciences01 natural sciencesEnvironmental Effects of a Green Bio-EconomyEcosystem servicesVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Environmental ChemistryProduction (economics)Humans14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Ecosystem0105 earth and related environmental sciences2. Zero hungerBiomass (ecology)EcologyLand usebusiness.industryEnvironmental resource managementSurface waterGeneral Medicine15. Life on landModels TheoreticalvedenlaatuBioeconomy6. Clean waterWater qualitypintavesi13. Climate actionLand useEnvironmental scienceWater qualitybusinessbiotalousSurface waterForecasting
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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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Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses

2020

The use of unmanned aerial vehicles (UAVs) in earth science research has drastically increased during the last decade. The reason being innumerable advantages to detecting and monitoring various environmental processes before and after certain events such as rain, wind, flood, etc. or to assess the current status of specific landforms such as gullies, rills, or ravines. The UAV equipped sensors are a key part to success. Besides commonly used sensors such as cameras, radar sensors are another possibility. They are less known for this application, but already well established in research. A vast number of research projects use professional radars, but they are expensive and difficult to hand…

010504 meteorology & atmospheric sciencesComputer scienceUAVReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologiesComputerApplications_COMPUTERSINOTHERSYSTEMS77 GHz02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistrylaw.inventionARS-408lawlcsh:TP1-1185ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringRadarInstrumentationARS-404021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarAtomic and Molecular Physics and OpticsEarth surfaceAutomotive radarKey (cryptography)Sensors
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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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Soil organic carbon stock on the Majorca Island: temporal change in agricultural soil over the last 10 years

2019

8 Pags.- 5 Tabls.- 3 Figs.

010504 meteorology & atmospheric sciencesConservation agricultureLand managementMediterranean soil organic carbonspatial variationSpatial and temporal variationCarbon sequestration01 natural sciencestemporal changeSoil managementMediterranean soil carbonsoil carbon sequestrationAgricultural landGeostatistics0105 earth and related environmental sciencesEarth-Surface ProcessesAgroforestrySoil organic matter04 agricultural and veterinary sciencesSoil carbonCrop rotationMajorca carbon storage040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceCrop management
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The effect of rheological approximations in 3-D numerical simulations of subduction and collision

2018

Abstract Subduction and collision zones evolve differently from one another due to different rheological properties, different amounts of regional isostatic compensation, and the different mechanisms by which forces are applied to the convergent plates. The rheology of mantle and lithosphere is known to have the largest influence on the dynamics of subduction and continental collision. However, previous 3-D geodynamic models of subduction/collision processes have used various rheological approximations, making their results difficult to compare, since there is no clear understanding on the extent of these approximations on the dynamics. Here, we test the effect of rheological approximations…

010504 meteorology & atmospheric sciencesContinental collisionSubductionMechanics010502 geochemistry & geophysics01 natural sciencesMantle (geology)Physics::GeophysicsCondensed Matter::Soft Condensed MatterGeophysicsRheologyLithosphereTransition zoneSlabConvergent boundaryGeology0105 earth and related environmental sciencesEarth-Surface ProcessesTectonophysics
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Linking tephrochronology and soil characteristics in the Sila and Nebrodi mountains, Italy

2017

Recent studies have demonstrated that soils formed on pyroclastic ash deposits are much more common in the Mediterranean area than previously assumed. These soils are an important key to understanding past volcanic events and landscape evolution. Chronological information in soils of Quaternary volcanic events, however, remains still poorly understood in southern Italy. Using a multi-method forensic approach, we explore the origin and age of volcanic deposits (soils) in Sicily and Calabria. The geochemical signature of the soil was compared to the chemical fingerprint of the magmas of potential source areas of southern Italian volcanoes. The results indicate that the investigated soils on t…

010504 meteorology & atmospheric sciencesEarth science1904 Earth-Surface ProcessesGeo-forensicPyroclastic rockWeatheringVolcanism010502 geochemistry & geophysics01 natural scienceslaw.inventionQuaternarylawVolcanic sedimentRadiocarbon dating910 Geography & travel0105 earth and related environmental sciencesEarth-Surface ProcessesgeographySoil evolutiongeography.geographical_feature_categoryBedrockEarth15. Life on land10122 Institute of GeographySurface ProcessesVolcanoSettore AGR/14 - PedologiaClastic rockDatingTephrochronologyGeologyCATENA
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