Search results for "OBS"

showing 10 items of 6542 documents

Modelling and Analysis of Flow Rate and Pressure Head in Pipelines

2019

Currently, various approaches with several utilities are proposed to identify damage in the pipeline. The pipeline system is modeled in the form of a distributed parameter system, such that the state space related to the distributed parameter system contains infinite dimension. In this paper, a novel technique is proposed to analyze and model the flow in the pipeline. Important theorems are proposed for testing the observability as well as controllability of the proposed model.

010504 meteorology & atmospheric sciencesComputer sciencePipeline (computing)05 social sciences01 natural sciencesControllabilityPipeline transportPressure headFlow (mathematics)Distributed parameter systemControl theory0502 economics and businessState spaceObservability050207 economics0105 earth and related environmental sciences2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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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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The size, shape, density and ring of the dwarf planet Haumea from a stellar occultation

2017

Ortiz, José Luis et. al.

010504 meteorology & atmospheric sciencesEuropean communityTrans Neptunian ObjectDwarf planetHaumeaFOS: Physical sciencesLibrary scienceshape01 natural sciencessizedwarf planetNeptuneFísica Aplicada0103 physical sciencesHaumeamedia_common.cataloged_instanceEuropean unionInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesmedia_commonEarth and Planetary Astrophysics (astro-ph.EP)Physics[PHYS]Physics [physics]density2003 EL61 ; Kuiper-belt ; photometric-observations ; collisional family ; object ; bodies ; albedo ; satellites ; UranusDwarf planetsMultidisciplinaryEuropean researchAsteroidTrans-NeptunianAstronomyStellar occultationMoons of HaumeaStellar occultationstellar occultationAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]ringAstrophysics - Earth and Planetary Astrophysics
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Transferring deep learning models for cloud detection between Landsat-8 and Proba-V

2020

Abstract Accurate cloud detection algorithms are mandatory to analyze the large streams of data coming from the different optical Earth observation satellites. Deep learning (DL) based cloud detection schemes provide very accurate cloud detection models. However, training these models for a given sensor requires large datasets of manually labeled samples, which are very costly or even impossible to create when the satellite has not been launched yet. In this work, we present an approach that exploits manually labeled datasets from one satellite to train deep learning models for cloud detection that can be applied (or transferred) to other satellites. We take into account the physical proper…

010504 meteorology & atmospheric sciencesExploitComputer sciencebusiness.industryDeep learning0211 other engineering and technologiesCloud detectionCloud computing02 engineering and technologyEarth observation satellitecomputer.software_genre01 natural sciencesConvolutional neural networkAtomic and Molecular Physics and OpticsComputer Science ApplicationsSatelliteData miningArtificial intelligenceComputers in Earth SciencesbusinessTransfer of learningEngineering (miscellaneous)computer021101 geological & geomatics engineering0105 earth and related environmental sciencesISPRS Journal of Photogrammetry and Remote Sensing
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Slender Ca II H fibrils mapping magnetic fields in the low solar chromosphere

2017

S. Jafarzadeh et. al.

010504 meteorology & atmospheric sciencesExtrapolationFOS: Physical scienceschromosphere [Sun]Field strengthAstrophysicsDense forest01 natural sciencesMethods: observational0103 physical sciencesSunriseAstrophysics::Solar and Stellar Astrophysicsobservational [Methods]010303 astronomy & astrophysicsChromosphereSun: magnetic fieldsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysicsSolar observatorySun: chromosphereAstronomy and AstrophysicsMagnetic fieldmagnetic fields [Sun]Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary SciencePhysics::Space PhysicsMagnetohydrodynamics
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Morphological Properties of Slender Ca ${\rm{II}}$ H Fibrils Observed by Sunrise II

2017

R. Gafeira et. al.

010504 meteorology & atmospheric sciencesFOS: Physical scienceschromosphere [Sun]AstrophysicsFibrilCurvature01 natural sciencesSponge spiculeObservatory0103 physical sciencesHigh spatial resolutionSunriseTechniques: imaging spectroscopySun: magnetic fields010303 astronomy & astrophysicsChromosphereSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesLine (formation)Physicsimaging spectroscopy [Techniques]Sun: chromosphereAstronomy and Astrophysicsmagnetic fields [Sun]Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceThe Astrophysical Journal Supplement Series
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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A search for time-dependent astrophysical neutrino emission with IceCube data from 2012 to 2017

2020

Abstract High-energy neutrinos are unique messengers of the high-energy universe, tracing the processes of cosmic ray acceleration. This paper presents analyses focusing on time-dependent neutrino point-source searches. A scan of the whole sky, making no prior assumption about source candidates, is performed, looking for a space and time clustering of high-energy neutrinos in data collected by the IceCube Neutrino Observatory between 2012 and 2017. No statistically significant evidence for a time-dependent neutrino signal is found with this search during this period, as all results are consistent with the background expectation. Within this study period, the blazar 3C 279, showed strong var…

010504 meteorology & atmospheric sciencesHigh-energy astronomyAstrophysics::High Energy Astrophysical Phenomenamedia_common.quotation_subjectmodel [emission]FOS: Physical sciencesCosmic rayAstrophysics01 natural scienceslaw.inventionIceCube Neutrino ObservatoryIceCubeblazarlawemission [gamma ray]0103 physical sciencesCosmic ray sources; High-energy astrophysics; Particle astrophysicsenergy: high [neutrino]Blazar010303 astronomy & astrophysics0105 earth and related environmental sciencesmedia_commonHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEAstroparticle physicsPhysicsbackgroundAstronomy and AstrophysicsCosmic ray sourcesUniverseHigh-energy astrophysicsmessengerobservatorySpace and Planetary Scienceddc:520time dependenceacceleration [cosmic radiation]NeutrinoAstrophysics - High Energy Astrophysical PhenomenaParticle astrophysicsFlare
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Shallow vent architecture during hybrid explosive-effusive activity at Cordón Caulle (Chile, 2011-12): Evidence from direct observations and pyroclas…

2013

International audience; In June 2011, an eruption of rhyolite magma began at the Puyehue-Cordón Caulle volcanic complex, southern Chile. By January 2012, explosive activity had declined from sustained pyroclastic (Plinian to sub-Plinian) fountaining to mixed gas and ash jetting punctuated by Vulcanian blasts. This explosive activity was accompanied by synchronous effusion of obsidian lava in a hybrid explosive-effusive eruption. Fortuitous climatic conditions permitted ground-based observation and video recording of transient vent dynamics as well as real-time collection of proximal juvenile ash as it sedimented from the active plume. The main eruptive vent complex and site of lava effusion…

010504 meteorology & atmospheric sciencesLava[SDE.MCG]Environmental Sciences/Global ChangesSilicicPyroclastic rockMineralogyrhyolite010502 geochemistry & geophysics01 natural sciencestube pumiceobsidianGeochemistry and PetrologyPuyehue-Cordón CaulleRhyolite[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyTephraPetrology0105 earth and related environmental sciencesgeographyVulcanian eruptiongeography.geographical_feature_categoryPeléan eruptionexplosive-effusive transitionGeophysicsVolcanopermeabilityGeologyVulcanian
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Oscillations on Width and Intensity of Slender Ca ii H Fibrils from Sunrise/SuFI

2017

R. Gafeira et. al.

010504 meteorology & atmospheric sciencesPhase (waves)FOS: Physical scienceschromosphere [Sun]Astrophysics01 natural sciencesMolecular physics0103 physical sciencesWave modeSunriseSun: oscillationsTechniques: imaging spectroscopySun: magnetic fields010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysicsSolar observatoryoscillations [Sun]imaging spectroscopy [Techniques]Sun: chromosphereAstronomy and AstrophysicsAstrophysics - Solar and Stellar Astrophysicsmagnetic fields [Sun]Space and Planetary ScienceIntensity (heat transfer)The Astrophysical Journal Supplement Series
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