Search results for "olut"

showing 10 items of 18073 documents

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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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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Could CoRoT-7b and Kepler-10b be remnants of evaporated gas or ice giants?

2009

We present thermal mass loss calculations over evolutionary time scales for the investigation if the smallest transiting rocky exoplanets CoRoT-7b (∼1.68REarth) and Kepler-10b (∼1.416REarth) could be remnants of an initially more massive hydrogen-rich gas giant or a hot Neptune-class exoplanet. We apply a thermal mass loss formula which yields results that are comparable to hydrodynamic loss models. Our approach considers the effect of the Roche lobe, realistic heating efficiencies and a radius scaling law derived from observations of hot Jupiters. We study the influence of the mean planetary density on the thermal mass loss by placing hypothetical exoplanets with the characteristics of Jup…

010504 meteorology & atmospheric sciencesGas giantEvolutionAstrophysics01 natural sciencesArticleOriginPlanet0103 physical sciencesHot JupiterAstrophysics::Solar and Stellar AstrophysicsHot NeptuneKepler-10b010303 astronomy & astrophysics0105 earth and related environmental sciencesPhysicsExoplanetsAstronomyAstronomy and AstrophysicsExoplanetCoRoT-7b13. Climate actionSpace and Planetary ScienceAstrophysics::Earth and Planetary AstrophysicsMass lossPlanetary massJupiter massIce giantPlanetary and Space Science
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Oligo-Miocene lacustrine microbial and metazoan buildups from the Limagne Basin (French Massif Central)

2018

The Limagne Basin (French Massif Central) is an extensive continental lacustrine system accommodating microbial and metazoan buildups from Chattian to Aquitanian age. A description of these buildups and their associated biotic components in Grand Gandaillat and Crechy quarries provides insights into their spatio-temporal distribution patterns. Flats, cauliflowers, domes, cones and coalescent columnar morphologies have been identified with a main laminated mesofabric and laminated, columnar, filamentous and caddisfly-coated microfabrics. Two low-gradient margin models emerged based on the changes in the distribution, morphology and size of the microbial and metazoan-rich deposits through tim…

010504 meteorology & atmospheric sciencesGeochemistryCarbonatesVolcanismEcological successionStructural basin010502 geochemistry & geophysicsOceanography01 natural sciencesVolcanismMarlCycle ClimateEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_categoryPaleontologyMassif15. Life on landTectonicTectonicsVolcanoSedimentary rockLacustrine/palustrine[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeology
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Estudio de bofedales en los Andes ecuatorianos a través de la comparación de imágenes Landsat-8 y Sentinel-2

2019

[EN] The objective of the present study was to compare the Landsat-8 and Sentinel-2 images to calculate the wetland´s extension, distribution and degree of conservation, in Reserva de Producción de Fauna Chinborazo (RPFCH) protected area located in the Andean region of Ecuador. This process was developed with in situ work in 16 wetlands, distributed in different conservation levels. The Landsat-8 and Sentinel-2 images were processed through a radiometric calibration (restoration of lost lines or píxels and correction of the stripe of the image) and an atmospheric correction (conversion of the digital levels to radiance values), to later calculate the Vegetation spectral indexes: NDVI, SAVI …

010504 meteorology & atmospheric sciencesGeography Planning and Development0211 other engineering and technologiesRed edgeWetland02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexLandsat-8Earth and Planetary Sciences (miscellaneous)Red EdgeImage resolutionBofedal021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsgeographyRandom Forestgeography.geographical_feature_categoryPixelAtmospheric correctionForestryVegetationRadianceSentinel-2Revista de Teledetección
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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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Targeted delivery of hydrogen for the bioremediation of aquifers contaminated by dissolved chlorinated compounds.

2019

Dihydrogen (H2) gas injection is a promising option to enhance the reductive biodehalogenation of contaminants in groundwater. However, it is challenging to ensure its targeted delivery at the right places in plumes, and for the long times required for bioremediation. In this paper, the ability of surfactant foam to retain H2 in the saturated zone and to enhance its release in the dissolved form was compared to traditional biosparging. H2 gas was injected, either alone, or as foam, in a 2D saturated cell packed with glass beads. This cell was continuously flushed with deoxygenated water to mimic aquifer circulation, and H2 was studied both in terms of gas distribution in the cell and dissol…

010504 meteorology & atmospheric sciencesGroundwater flowHalogenationHealth Toxicology and MutagenesisGroundwater remediationAquifer010501 environmental sciencesToxicology01 natural sciencesDiffusionSurface-Active AgentsBioremediationDissolutionGroundwaterComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryChemistryWaterGeneral MedicinePollution6. Clean waterPlumeBiodegradation Environmental13. Climate actionReagentEnvironmental chemistry[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]GroundwaterWater Pollutants ChemicalHydrogenEnvironmental pollution (Barking, Essex : 1987)
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Microbiology and atmospheric processes: biological, physical and chemical characterization of aerosol particles

2008

Abstract. The interest in bioaerosols has traditionally been linked to health hazards for humans, animals and plants. However, several components of bioaerosols exhibit physical properties of great significance for cloud processes, such as ice nucleation and cloud condensation. To gain a better understanding of their influence on climate, it is therefore important to determine the composition, concentration, seasonal fluctuation, regional diversity and evolution of bioaerosols. In this paper, we will review briefly the existing techniques for detection, quantification, physical and chemical analysis of biological particles, attempting to bridge physical, chemical and biological methods for …

010504 meteorology & atmospheric sciencesIndoor bioaerosollcsh:LifeBiological particles[SDU.STU]Sciences of the Universe [physics]/Earth SciencesNanotechnology[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]01 natural sciences[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]03 medical and health scienceslcsh:QH540-549.5[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processes[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere0303 health sciences[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph][SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmosphere030306 microbiologyChemistrylcsh:QE1-996.5[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentAerosolCharacterization (materials science)lcsh:Geologylcsh:QH501-531[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]13. Climate action[SDU.STU] Sciences of the Universe [physics]/Earth SciencesIce nucleuslcsh:EcologyBiochemical engineeringAerosol sampling
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High-resolution spectroscopy and analysis of the nu3/2nu4 dyad of CF4

2011

International audience; CF4 is a strong greenhouse gas of both anthropogenic and natural origin [D.R. Worton et al., Environ. Sci. Technol. 41, 2184 (2007)]. However, high-resolution infrared spectroscopy of this molecule has received only a limited interest up to now. Until very recently, the public databases only contained cross-sections for this species, but no detailed line list. We reinvestigate here the strongly absorbing ν3 region around 7.8 μm. New Fourier transform infrared (FTIR) spectra up to a maximal resolution of 0.0025 cm−1 have been recorded: (i) room-temperature spectra in a static cell and (ii) a supersonic expansion jet spectrum at a 23 K estimated temperature. Following …

010504 meteorology & atmospheric sciencesInfraredBiophysicsAnalytical chemistryInfrared spectroscopycarbon tetrafluoride01 natural sciencesSpectral linesymbols.namesake0103 physical sciencesPhysical and Theoretical ChemistryFourier transform infrared spectroscopySpectroscopyMolecular Biologyemi-classical analysis0105 earth and related environmental sciences010304 chemical physicsChemistryResolution (electron density)Condensed Matter Physics[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Fourier transform13. Climate actiongreenhouse gassymbolsinfrared absorption[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]tensorial formalismMicrowave
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Applications of a new set of methane line parameters to the modeling of Titan's spectrum in the 1.58 μm window

2012

International audience; In this paper we apply a recently released set of methane line parameters (Wang et al., 2011) to the modeling of Titan spectra in the 1.58 mu m window at both low and high spectral resolution. We first compare the methane absorption based on this new set of methane data to that calculated from the methane absorption coefficients derived in situ from DISR/Huygens (Tomasko et al., 2008a; Karkoschka and Tomasko, 2010) and from the band models of Irwin et al. (2006) and Karkoschka and Tomasko (2010). The Irwin et al. (2006) band model clearly underestimates the absorption in the window at temperature-pressure conditions representative of Titan's troposphere, while the Ka…

010504 meteorology & atmospheric sciencesInfraredCASSINI VIMSHUYGENS PROBEMONODEUTERATED METHANEAtmospheric sciences01 natural sciences7. Clean energyMethaneSpectral lineTropospherechemistry.chemical_compoundsymbols.namesake0103 physical sciencesSpectral resolutionSpectroscopy010303 astronomy & astrophysicsCLOUD STRUCTURE0105 earth and related environmental sciencesPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Astronomy and Astrophysics9500 CM(-1)SPECTROSCOPIC DATABASEM TRANSPARENCY WINDOWComputational physicsAerosolchemistry[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]TEMPERATURE-DEPENDENCE13. Climate actionSpace and Planetary SciencesymbolsSHIFT COEFFICIENTSOUTER SOLAR-SYSTEMTitan (rocket family)
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