Search results for "arto"

showing 10 items of 2010 documents

First moments of the nucleon generalized parton distributions from lattice QCD

2012

We report on our lattice calculations of the nucleon's generalized parton distributions (GPDs), concentrating on their first moments for the case of N_f=2. Due to recent progress on the numerical side we are able to present results for the generalized form factors at pion masses as low as 260 MeV. We perform a fit to one-loop covariant baryon chiral perturbation theory with encouraging results.

010308 nuclear & particles physicsHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)High Energy Physics::PhenomenologyNuclear TheoryFOS: Physical sciencesDESYPartonLattice QCD01 natural sciencesNuclear physicsHigh Energy Physics - LatticeResearch centre0103 physical sciencesddc:530Nuclear Experiment010306 general physicsNucleon
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Fractals and geography

2007

010504 meteorology & atmospheric sciencesAnthropology[SHS.GEO] Humanities and Social Sciences/Geography0211 other engineering and technologies021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyGeographyCartographymodèles mathématiquesanalyse spatiale0105 earth and related environmental sciences
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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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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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Using Optical and Thermal Data for Tracking Snowmelt Processes in Alpine Area

2019

Alpine catchments represent a fundamental reservoir of fresh water at midlatitude. Remote sensing offers the opportunity to estimate snow properties in the optical, thermal and microwave domains. In particular, the possibility to estimate snow density from remote sensing is relevant and still represents a great challenge for the remote sensing scientific community. Since changes of snow density and liquid water content occur continuously in the snowpack, spatial and temporal patterns of optical and thermal data can give information about snowmelt processes. The main goal of this study is to evaluate if snow thermal inertia can be an indicator of snowmelt processes and to evaluate its relati…

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREGEO/04 - GEOGRAFIA FISICA E GEOMORFOLOGIA0207 environmental engineeringGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologySnowpackTracking (particle physics)Snow01 natural sciencesGEO/11 - GEOFISICA APPLICATAGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)Liquid water contentMiddle latitudesSnowmeltThermalEnvironmental science020701 environmental engineeringRemote Sensing Snow Thermal Inertia Snowmelt Snow densitySettore ICAR/06 - Topografia E Cartografia0105 earth and related environmental sciencesRemote sensing
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Validation of HF radar sea surface currents in the Malta-Sicily Channel

2019

Abstract A network of High-Frequency radar (HFR) stations runs operationally in the Malta-Sicily Channel (MSC), Central Mediterranean Sea, providing sea surface current maps with high temporal (1 h) and spatial (3 × 3 km) resolutions since August 2012. Comparisons with surface drifter data and near-surface Acoustic Doppler Current Profiler (ADCP) observations, as well as radar site-to-site baseline analyses, provide quantitative assessments of HFR velocities accuracy. Twenty-two drifters were deployed within the HFR domain of coverage between December 2012 and October 2013. Additionally, six ADCP vertical current profiles were collected at selected positions during a dedicated field survey.…

010504 meteorology & atmospheric sciencesFrequency band0208 environmental biotechnologySoil Science02 engineering and technologySurface current01 natural scienceslaw.inventionAcoustic Doppler current profilerlawCurrent meter measurementHfr cellComputers in Earth SciencesRadar0105 earth and related environmental sciencesRemote sensingHF radarSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaData qualityGeology020801 environmental engineeringCurrent (stream)DrifterDrifter measurementSettore ICAR/06 - Topografia E CartografiaGeologyCommunication channelInterpolationRemote Sensing of Environment
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Toward a Comprehensive Dam Monitoring: On-Site and Remote-Retrieved Forcing Factors and Resulting Displacements (GNSS and PS–InSAR)

2021

Many factors can influence the displacements of a dam, including water level variability and environmental temperatures, in addition to the dam composition. In this work, optical-based classification, thermal diachronic analysis, and a quasi-PS (Persistent Scatter) Interferometric SAR technique have been applied to determine both forcing factors and resulting displacements of the crest of the Castello dam (South Italy) over a one-year time period. The dataset includes Sentinel-1A images acquired in Interferometric Wide swath mode using the Terrain Observation with Progressive Scans SAR (TOPSAR); Landsat 8 Thermal Infrared Sensor (TIRS) thermal images, and Global Navigation Satellite System …

010504 meteorology & atmospheric sciencesLandsat TIRSScience0211 other engineering and technologiesTerrainSatellite system02 engineering and technologyForcing (mathematics)01 natural sciencesPS–InSARInterferometric synthetic aperture radarDam displacements Full graph GNSS Landsat TIRS PS–InSAR Sentinel-1A TOPSARSentinel-1A TOPSAR021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdam displacementsGNSSQfull graphdam displacements; GNSS; Sentinel-1A TOPSAR; Landsat TIRS; PS–InSAR; full graphWater levelInterferometryGNSS applicationsGeneral Earth and Planetary SciencesSatelliteGeologySettore ICAR/06 - Topografia E CartografiaRemote Sensing
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Patch-based survey methods for studying prehistoric human land-use in agriculturally modified landscapes: A case study from the Canal de Navarrés, ea…

2018

Abstract In landscapes whose surface has been modified by terracing and other agricultural land-use, the spatial and temporal patterning of prehistoric settlement can be difficult to detect using traditional, site-orientated archaeological survey methods, especially for small-scale societies. In these contexts, methods that can reveal occupational patterns at landscape scales, without the need to pinpoint specific sites of human occupation, can be especially useful. We employ a stratified, randomly selected patch-based survey strategy to examine socio-ecological dynamics from the Middle Paleolithic through Bell Beaker (Chalcolithic) periods within the Canal de Navarres, eastern Spain. We di…

010506 paleontologyArtifact (archaeology)060102 archaeologyLand use06 humanities and the artsVegetation01 natural sciencesField (geography)PrehistorySurvey methodologyGeographyMiddle PaleolithicSurvey data collection0601 history and archaeologyArqueologia MetodologiaCartography0105 earth and related environmental sciencesEarth-Surface ProcessesQuaternary International
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Pseudoshasticrioceras bersaci nov. sp. (Ammonoidea, Gassendiceratinae), and new ammonite biohorizon for the Upper Barremian of southeastern France

2009

International audience; Research in the Feraudianus Subzone of the Sartousiana Zone of the Barremian stage led to the discovery of a new species of Pseudoshasticrioceras: P. bersaci nov. sp. Its study provides evidence concerning the developments of the latest Gassendiceratinae BERT et alii, 2006, and the relationship between the genus Pseudoshasticrioceras DELANOY, 1998, and Gassendiceras BERT et alii, 2006. In particular, this new species is derived from Pseudoshasticrioceras magnini (DELANOY, 1992) by a minor revision in the processes of ontogenesis (retardation of ornamentation - neoteny). However, the evolution towards Pseudoshasticrioceras autrani DELANOY, 1998, implies a "failure" in…

010506 paleontologyStratigraphyLineage (evolution)Ammonitinae[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy010502 geochemistry & geophysics01 natural sciencesPaleontologylcsh:StratigraphyGenusStage (stratigraphy)lcsh:QE701-760NeotenyGassendiceraslcsh:QE640-699[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology0105 earth and related environmental sciencesAmmoniteUpper BarremianbiologyEcologylcsh:QE1-996.5PaleontologybiozonationGeologyAmmonoideabiology.organism_classificationlanguage.human_languagelcsh:GeologyPseudoshasticriocerasFeraudianus Subzonelcsh:Paleontology[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyGassendiceratinae[SDU.STU.ST] Sciences of the Universe [physics]/Earth Sciences/StratigraphylanguageSartousiana Zone[SDU.STU.PG] Sciences of the Universe [physics]/Earth Sciences/Paleontologysoutheastern France[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontology
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