Search results for "RAM"

showing 10 items of 35643 documents

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017

Made available in DSpace on 2018-12-11T17:11:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-03-01 Suomen Akatemia Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees repr…

010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesPoint cloudta117102 engineering and technologyradiometryphotogrammetry01 natural sciencesforestComputer visionForestRadiometrylcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113UAV; hyperspectral; photogrammetry; radiometry; point cloud; forest; classificationluokitus (toiminta)ta114business.industryHyperspectral imaging15. Life on landOtaNanoClassificationRandom forestPoint cloudTree (data structure)PhotogrammetryhyperspectralHyperspectralclassification13. Climate actionMultilayer perceptronPhotogrammetryGeneral Earth and Planetary SciencesRadiometryRGB color modellcsh:QArtificial intelligencebusinesspoint cloudRemote Sensing; Volume 9; Issue 3; Pages: 185
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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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SAR Image Classification Combining Structural and Statistical Methods

2011

The main objective of this paper is to develop a new technique of SAR image classification. This technique combines structural parameters, including the Sill, the slope, the fractal dimension and the range, with statistical methods in a supervised image classification. Thanks to the range parameter, we define the suitable size of the image window used in the proposed approach of supervised image classification. This approach is based on a new way of characterising different classes identified on the image. The first step consists in determining relevant area of interest. The second step consists in characterising each area identified, by a matrix. The last step consists in automating the pr…

010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Pattern recognition02 engineering and technology01 natural sciencesFractal dimensionImage (mathematics)Range (mathematics)Matrix (mathematics)Fractal[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceVariogrambusinessComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesMathematics
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An autonomous petrological database for geodynamic simulations of magmatic systems

2022

SUMMARY Self-consistent modelling of magmatic systems is challenging as the melt continuously changes its chemical composition upon crystallization, which may affect the mechanical behaviour of the system. Melt extraction and subsequent crystallization create new rocks while depleting the source region. As the chemistry of the source rocks changes locally due to melt extraction, new calculations of the stable phase assemblages are required to track the rock evolution and the accompanied change in density. As a consequence, a large number of isochemical sections of stable phase assemblages are required to study the evolution of magmatic systems in detail. As the state-of-the-art melting diag…

010504 meteorology & atmospheric sciencesDatabaseFunction (mathematics)Parameter space010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesGeophysicsGeochemistry and Petrology13. Climate actionPhase (matter)Principal component analysisProbability distributionComputational problemCluster analysiscomputerMassively parallel0105 earth and related environmental sciencesGeophysical Journal International
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Modelling the Effects of Climate Change on the Supply of Inorganic Nitrogen

2009

Human-induced changes in the nitrogen cycle due to the increased use of artificial fertilisers, the cultivation of nitrogen-fixing crops and atmospheric deposition have made nitrogen pollution to surface waters a long-standing cause for concern. In Europe, legislation has been introduced to minimise the risk of water quality degradation from excessive nitrogen inputs e.g., the European Union Nitrates Directive (EU, 1991), Drinking Water Directive (EU, 1998) and Water Framework Directive (EU, 2000). Coastal regions in particular have been an important focus, since coastal eutrophication has been attributed to increased fluxes of nitrogen from the landscape (Howarth et al., 1996; Boesch et al…

010504 meteorology & atmospheric sciencesEcology0207 environmental engineering02 engineering and technology15. Life on land01 natural sciences6. Clean waterMacrophyteWater Framework Directive13. Climate actionEnvironmental protectionNutrient pollutionDrinking water directiveEnvironmental sciencemedia_common.cataloged_instance14. Life underwaterWater qualityEuropean union020701 environmental engineeringEutrophicationNitrogen cycle0105 earth and related environmental sciencesmedia_common
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Bright Hot Impacts by Erupted Fragments Falling Back on the Sun: Magnetic Channelling

2016

Dense plasma fragments were observed to fall back on the solar surface by the Solar Dynamics Observatory after an eruption on 7 June 2011, producing strong EUV brightenings. Previous studies investigated impacts in regions of weak magnetic field. Here we model the $\sim~300$ km/s impact of fragments channelled by the magnetic field close to active regions. In the observations, the magnetic channel brightens before the fragment impact. We use a 3D-MHD model of spherical blobs downfalling in a magnetized atmosphere. The blob parameters are constrained from the observation. We run numerical simulations with different ambient density and magnetic field intensity. We compare the model emission i…

010504 meteorology & atmospheric sciencesField (physics)FOS: Physical sciencesAstrophysics01 natural sciencesAtmosphereSettore FIS/05 - Astronomia E AstrofisicaSun: activity0103 physical sciencesAstrophysics::Solar and Stellar AstrophysicsMagnetic pressureSun: magnetic field010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysicsSun: coronaAstronomy and AstrophysicsSun: UV radiation Supporting material: animationPlasmaCoronal loopAstronomy and AstrophysicRam pressureMagnetic fieldStarsAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary SciencePhysics::Space Physics
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Geophysical prospection of the Roman city of Pollentia, Alcúdia (Mallorca, Balearic Islands, Spain)

2016

Abstract We present the results of the geophysical investigation carried out in the Roman city of Pollentia, in the island of Mallorca. The ancient city was identified in the 19th century. Old and new archaeological excavations have helped to uncover a residential area, a theatre, the forum, several necropolises and other remains of the city, but a large unexplored area has still to be investigated. For instance, the limits of the ancient town and the presence of harbour structures are still unknown. The geophysical survey has covered an area of more than 20.000 m2 by integrating magnetic, electromagnetic, electrical and ground penetrating radar (GPR) methods. Many unseen archaeological fea…

010504 meteorology & atmospheric sciencesGPRMagneticgovernment.political_district010502 geochemistry & geophysics01 natural sciencesSettore GEO/11 - Geofisica ApplicataElectrical resistivity tomographyElectrical resistivity tomographyArchaeological prospection0105 earth and related environmental sciencescomputer.programming_languagegeographyBalearic islandsgeography.geographical_feature_categoryEM surveyExcavationcomputer.file_formatArchaeologyResidential areaGeophysicsPollentiaGeophysical survey (archaeology)VRMLHarbourGround-penetrating radargovernmentArchaeological prospection; Electrical resistivity tomography; EM survey; GPR; Magnetic; Pollentia; GeophysicscomputerJournal of Applied Geophysics
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The river harbour of Ostia Antica - stratigraphy, extent and harbour infrastructure from combined geophysical measurements and drillings

2018

Abstract We performed a combined geophysical and geoarchaeological survey of the harbour of ancient Ostia, Italy, to investigate the extent of the former harbour basin, the sedimentary infill and possible building remains around the harbour. Besides geoarchaeological results the paper highlights the advantage of combining vibracore drilling with different geophysical prospection methods, which are sensitive to different physical soil parameters. Geophysical methods applied were electrical resistivity tomography (ERT), ground penetrating radar (GPR) and seismics with shear and compressional waves. The extent and shape of the harbour basin were determined by ERT profiling. The ERT profiles we…

010504 meteorology & atmospheric sciencesGeoarchaeologyFluvialGeophysicsStructural basin010502 geochemistry & geophysics01 natural sciencesCoringHarbourGround-penetrating radarSedimentary rockElectrical resistivity tomographycomputerGeomorphologyGeology0105 earth and related environmental sciencesEarth-Surface Processescomputer.programming_languageQuaternary International
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Sulfide enrichment at an oceanic crust-mantle transition zone: Kane Megamullion (23°N, MAR)

2018

Abstract The Kane Megamullion oceanic core complex located along the Mid-Atlantic Ridge (23°30′N, 45°20′W) exposes lower crust and upper mantle directly on the ocean floor. We studied chalcophile elements and sulfides in the ultramafic and mafic rocks of the crust-mantle transition and the mantle underneath. We determined mineralogical and elemental composition and the Cu isotope composition of the respective sulfides along with the mineralogical and elemental composition of the respective serpentines. The rocks of the crust-mantle transition zone (i.e., plagioclase harzburgite, peridotite-gabbro contacts, and dunite) overlaid by troctolites are by one order of magnitude enriched in several…

010504 meteorology & atmospheric sciencesGeochemistryCrustengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)Oceanic core complexGeochemistry and PetrologyUltramafic rockOceanic crustTransition zoneengineeringPlagioclasePyrrhotiteGeology0105 earth and related environmental sciencesGeochimica et Cosmochimica Acta
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Carbon isotope composition of CO2-rich inclusions in cumulate-forming mantle minerals from Stromboli volcano (Italy)

2017

We report on measurements of concentration and carbon isotope composition (δ13CCO2) of CO2 trapped in fluid inclusions of olivine and clinopyroxene crystals separated from San Bartolo ultramafic cumulate Xenoliths (SBX) formed at mantle depth (i.e., beneath a shallow Moho supposed to be at 14.8 km). These cumulates, erupted about 2 ka ago at Stromboli volcano (Italy), have been already investigated by Martelli et al. (2014) mainly for Sr-Nd isotopes and for their noble gases geochemistry. The concentration of CO2 varies of one order of magnitude from 3.8·10− 8 mol g− 1 to 4.8·10− 7 mol g− 1, with δ13C values between − 2.8‰ and − 1.5‰ vs V-PDB. These values overlap the range of measurements …

010504 meteorology & atmospheric sciencesGeochemistryUltramafic cumulateengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)Impact craterUltramafic rockGeochemistry and PetrologyFluid inclusionsXenolith0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryOlivineδ13CSettore GEO/07 - Petrologia E PetrografiaStromboli volcanoFluid inclusionGeophysicsVolcanoengineeringδ13CCO2MantleGeology
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