Search results for "Data"

showing 10 items of 12992 documents

ARES. III. Unveiling the Two Faces of KELT-7 b with HST WFC3

2020

We present the analysis of the hot-Jupiter KELT-7b using transmission and emission spectroscopy from the Hubble Space Telescope (HST), both taken with the Wide Field Camera 3 (WFC3). Our study uncovers a rich transmission spectrum which is consistent with a cloud-free atmosphere and suggests the presence of H2O and H-. In contrast, the extracted emission spectrum does not contain strong absorption features and, although it is not consistent with a simple blackbody, it can be explained by a varying temperature-pressure profile, collision induced absorption (CIA) and H-. KELT-7 b had also been studied with other space-based instruments and we explore the effects of introducing these additiona…

010504 meteorology & atmospheric sciencesOpacityFOS: Physical sciencesEFFICIENTTransmission spectroscopy; Exoplanet atmospheres; Astronomy data analysisAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsAstronomy & Astrophysics01 natural sciencesAtmosphereHubble space telescope0103 physical sciencesTransmission spectroscopyEMISSION-SPECTRUMWATERBlack-body radiationEmission spectrumAbsorption (electromagnetic radiation)010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesEarth and Planetary Astrophysics (astro-ph.EP)PhysicsScience & TechnologyHOT JUPITERSAstronomy and AstrophysicsBIASESEXOPLANETSTransmission (telecommunications)13. Climate actionSpace and Planetary SciencePhysical SciencesAstronomy data analysisHD 209458BAstrophysics::Earth and Planetary AstrophysicsATMOSPHERESWide Field Camera 3Astrophysics - Earth and Planetary AstrophysicsExoplanet atmospheresThe Astronomical Journal
researchProduct

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

2021

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related losses. In this study, we applied two novel deep learning algorithms, the recurrent neural network (RNN) and convolutional neural network (CNN), for national-scale landslide susceptibility mapping of Iran. We prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors (altitude, slope degree, profile curvature, distance to river, aspect, plan curvature, distance to road, distance to fault, rainfall, geology and land-sue) to construct a geospatial database and divided the data into the training and the testing dataset. We then d…

010504 meteorology & atmospheric sciencesReceiver operating characteristicbusiness.industryDeep learningSpatial databaselcsh:QE1-996.5Deep learningLandslideIranLandslide susceptibility010502 geochemistry & geophysicsRNN01 natural sciencesConvolutional neural networklcsh:GeologyLandslideRecurrent neural networkGeneral Earth and Planetary SciencesArtificial intelligenceScale (map)businessAlgorithmCNNGeology0105 earth and related environmental sciencesGeoscience Frontiers
researchProduct

Late Quaternary Variations in the South American Monsoon System as Inferred by Speleothems—New Perspectives using the SISAL Database

2019

Here we present an overview of speleothem δ18O records from South America, most of which are available in the Speleothem Isotopes Synthesis and Analysis (SISAL_v1) database. South American tropical and subtropical speleothem δ18O time series are primarily interpreted to reflect changes in precipitation amount, the amount effect, and consequently history of convection intensity variability of convergence zones such as the Intertropical Convergence Zone (ITCZ) and the South America Monsoon System (SAMS). We investigate past hydroclimate scenarios in South America related to the South American Monsoon System in three different time periods: Late Pleistocene, Holocene, and the last tw…

010504 meteorology & atmospheric sciencesSAMSSpeleothemlcsh:GN281-289SubtropicsSouth American Monsoon System010502 geochemistry & geophysicscomputer.software_genreMonsoon01 natural scienceslcsh:StratigraphyEarth and Planetary Sciences (miscellaneous)PrecipitationSISALHolocenelcsh:QE640-6990105 earth and related environmental sciencesEarth-Surface Processesgeographyquaternarygeography.geographical_feature_categoryDatabasespeleothemsIntertropical Convergence ZoneMUDANÇA CLIMÁTICAlcsh:Human evolutionSouth Atlantic Convergence ZoneQuaternarycomputerGeologyQuaternary
researchProduct

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

2017

Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and …

010504 meteorology & atmospheric sciencesScattering albedo0208 environmental biotechnologyradiometry02 engineering and technologyretrieval methodologycomputer.software_genre01 natural scienceslaw.inventionlawremote sensing by radarRadaractive-passive microwavesPhysics::Atmospheric and Oceanic PhysicsIndexespassive microwave remote sensingRemote sensingremote sensing by laser beamGeographyLidaroptical radarcrucial parametersmedicine.symptomvegetation scattering coefficientData integrationBackscattervegetation mappingta1171τ-ω modelsoilPhysics::GeophysicsICESat lidar vegetation heightsvegetationmedicineVegetation optical depthbackscatter0105 earth and related environmental sciencesRemote sensingsensor fusionRadiometerScatteringnovel multisensor approachSMAPAlbedoMulti-sensor020801 environmental engineeringradiometer dataVegetation (pathology)multisensor data integration approachcomputerICESatalbedo
researchProduct

An Integrated Multiscale Method for the Characterisation of Active Faults in Offshore Areas. The Case of Sant’Eufemia Gulf (Offshore Calabria, Italy)

2021

Diagnostic morphological features (e.g., rectilinear seafloor scarps) and lateral offsets of the Upper Quaternary deposits are used to infer active faults in offshore areas. Although they deform a significant seafloor region, the active faults are not necessarily capable of producing large earthquakes as they correspond to shallow structures formed in response to local stresses. We present a multiscale approach to reconstruct the structural pattern in offshore areas and distinguish between shallow, non-seismogenic, active faults, and deep blind faults, potentially associated with large seismic moment release. The approach is based on the interpretation of marine seismic reflection data and …

010504 meteorology & atmospheric sciencesSettore GEO/02 - Geologia Stratigrafica E SedimentologicaScienceSettore GEO/03 - Geologia StrutturaleInversion (geology)Active faultSlab-tear faultLate MioceneCalabrian arc (Italy)010502 geochemistry & geophysicsFault scarp01 natural sciencesPaleontologymorphotectonic analysiMorphotectonic analysisHigh-resolution seismic dataBathymetry0105 earth and related environmental sciencesActive tectonicsactive tectonicQAnticlineSeafloor spreadingTectonicsGeneral Earth and Planetary SciencesGeologySouthern tyrrhenian sea
researchProduct

A critical discussion of the electromagnetic radiation (EMR) method to determine stress orientations within the crust

2012

Abstract. In recent years, the electromagnetic radiation (EMR) method has been used to detect faults and to determine main horizontal stress directions from variations in intensities and directional properties of electromagnetic emissions, which are assumed to be generated during micro-cracking. Based on a large data set taken from an area of about 250 000 km2 in Northern Germany, Denmark, and southern Sweden with repeated measurements at one location during a time span of about 1.5 yr, the method was systematically tested. Reproducible observations of temporary changes in the signal patterns, as well as a strongly concentric spatial pattern of the main directions of the magnetic component …

010504 meteorology & atmospheric sciencesStratigraphySoil Science010502 geochemistry & geophysicsSignalElectromagnetic radiation01 natural sciencesStress (mechanics)03 medical and health scienceslcsh:StratigraphyGeochemistry and PetrologyPoint (geometry)Very low frequencyEarth-Surface Processeslcsh:QE640-699030304 developmental biology0105 earth and related environmental sciences0303 health scienceslcsh:QE1-996.5Geovetenskap och miljövetenskapPaleontologyCrustGeologyData setlcsh:GeologyGeophysicsCommon spatial patternGeologiEarth and Related Environmental SciencesSeismologyGeology
researchProduct

Measuring the electron temperatures of coronal mass ejections with future space-based multi-channel coronagraphs: a numerical test

2018

Context. The determination from coronagraphic observations of physical parameters of the plasma embedded in coronal mass ejections (CMEs) is of crucial importance for our understanding of the origin and evolution of these phenomena. Aims. The aim of this work is to perform the first ever numerical simulations of a CME as it will be observed by future two-channel (visible light VL and UV Ly-α) coronagraphs, such as the Metis instrument on-board ESA-Solar Orbiter mission, or any other future coronagraphs with the same spectral band-passes. These simulations are then used to test and optimize the plasma diagnostic techniques to be applied to future observations of CMEs. Methods. The CME diagno…

010504 meteorology & atmospheric sciencesSun: coronal mass ejections (CMEs)Plasma parametersT-NDASContext (language use)Astrophysics01 natural sciencessymbols.namesakeMethods: data analysis0103 physical sciencesRadiative transferCoronal mass ejectionAstrophysics::Solar and Stellar AstrophysicsQB Astronomydata analysis [Methods]010303 astronomy & astrophysicsQCQB0105 earth and related environmental sciencesPhysicsUV radiation [Sun]numerical [Methods]Methods: numericalAstronomy and AstrophysicsPlasmaSun: UV radiationPolarization (waves)coronal mass ejections (CMEs) [Sun]Computational physicsQC PhysicsPlasmasSpace and Planetary SciencePhysics::Space PhysicssymbolsMagnetohydrodynamicsDoppler effectAstronomy & Astrophysics
researchProduct

FLEX/S3 Tandem Mission Performance Assessment: Evolution of the End-to-End Simulator Flex-E

2018

An End-to-end simulator (E2ES) is a tool to evaluate the performance of a satellite mission. Once a mission is approved for operation, E2ES evolves during Phase C/D to become a supporting tool for the development and validation of the ground data processor, as well as for simulating data sets to test the Prototype and Operational Processors. FLEX-E is the E2ES of the FLEX/Sentinel-3 tandem mission, which was selected in 2015 as ESA's eighth Earth Explorer. The FLEX-E evolution implies the consolidation of all the retrieval algorithms (e.g. fluorescence, reflectance, biophysical variables), the implementation of new scientific developments, as well the improvement of the co-registration proc…

010504 meteorology & atmospheric sciencesTandemComputer science0211 other engineering and technologiesAtmospheric correctionProcess (computing)02 engineering and technology01 natural sciencesData processing systemEnd-to-end principleFLEXSatelliteSimulation021101 geological & geomatics engineering0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
researchProduct

Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station

2010

In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS<sup>1</sup>database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km<sup>2</sup>). The study focuses on the Valencia Anchor Station (VAS) experimental site, in Spain, which is one of the main SMOS Cal/Val sites in Europe. <br><br> A faithful representation of the soil moisture distribution at SMOS pixel scale (50×50 km<sup>2</sup>) requires an accurate estimation…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringContext (language use)02 engineering and technologysystemcomputer.software_genrerainfall estimation01 natural scienceslcsh:Technologylcsh:TD1-1066Precipitation[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologylcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentprecipitation estimationretrievallcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350DatabaseRain gaugeMoisturelcsh:Tlcsh:Geography. Anthropology. RecreationLife Sciencesneural-network15. Life on landparameterizationokavango riverproductsafricalcsh:G13. Climate actionSoil waterPERSIANNEnvironmental scienceSpatial variabilitycomputerHydrology and Earth System Sciences
researchProduct

Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
researchProduct