Search results for " data"

showing 10 items of 7516 documents

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
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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
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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
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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
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Personal Exposure to Ultrafine Particles According to Different Environments and Modes of Transport in Schoolchildren: Results from a Spanish Cohort …

2017

Background Combustion, especially in diesel engines, emits a complex mixture of gases and particles that could be harmful for the respiratory and cardiovascular systems. Daily personal exposure to the smallest particulate matter (less than 0.1 µm and usually called nanoparticles or ultrafine particles – UFP) has been studied to a lesser extent compared to coarser particles. In this study we aim to assess personal exposure to UFP in different environments and transport modes among schoolchildren from a Spanish birth-cohort in the province of Valencia. Methods The study population consisted of 114 children aged 10-11 years. For each of them, personal exposure to UFP was measured continuously …

010504 meteorology & atmospheric sciencesbusiness.industryCold seasonHealth PolicyPublic Health Environmental and Occupational HealthTransportation010501 environmental sciences01 natural sciencesPollutionExposure levelEnvironmental healthUltrafine particleCohortMedicineSafety Risk Reliability and QualitybusinessSafety ResearchExposure dataSimulation0105 earth and related environmental sciencesJournal of Transport & Health
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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GRB 050904 at redshift 6.3: observations of the oldest cosmic explosion after the Big Bang

2005

We present optical and near-infrared observations of the afterglow of the gamma-ray burst GRB 050904. We derive a photometric redshift z = 6.3, estimated from the presence of the Lyman break falling between the I and J filters. This is by far the most distant GRB known to date. Its isotropic-equivalent energy is 3.4x10^53 erg in the rest-frame 110-1100 keV energy band. Despite the high redshift, both the prompt and the afterglow emission are not peculiar with respect to other GRBs. We find a break in the J-band light curve at t_b = 2.6 +- 1.0 d (observer frame). If we assume this is the jet break, we derive a beaming-corrected energy E_gamma = (4-12)x10^51 erg. This limit shows that GRB 050…

010504 meteorology & atmospheric sciencesgamma rays: burstsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsJet (particle physics)Astrophysics01 natural sciences[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]gamma rays: individual: GRB 0509040103 physical sciences010303 astronomy & astrophysics0105 earth and related environmental sciencesPhotometric redshiftPhysicsCOSMIC cancer database[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Star formationAstrophysics (astro-ph)Astronomy and Astrophysicsearly UniverseLight curveRedshiftAfterglowSpace and Planetary Sciencecosmology: observationsGamma-ray burst
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Land set-up systems in Italy: A long tradition of soil and water conservation sewed up to a variety of pedo-climatic environments

2020

Land set-up systems in Italy were and, in a few cases, still are integral parts of agricultural landscapes. The soils of Italy mirror a wide variety of climates and morphologies and derive from a great diversity of parent materials influenced by different soil temperature and moisture regimes. Furthermore, their development was influenced by several anthropogenic activities over time including land settings. Land set-up systems have been widely used throughout the Italian soilscape to regulate surface and underground water and to improve the physical soil features in a way that ensures mixed herbaceous and tree-crops cultivation. In recent times, new technologies have been introduced in agr…

010504 meteorology & atmospheric scienceslcsh:SLand set-up systemssoil conservation04 agricultural and veterinary scienceslcsh:Plant culture01 natural sciencesVariety (cybernetics)Set (abstract data type)lcsh:AgricultureItalian cultural landscapes.Settore AGR/14 - Pedologiasoilscapes040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:SB1-1110Soil conservationWater resource managementAgronomy and Crop ScienceItalian cultural landscapes land set-up systems soil conservation soilscapes0105 earth and related environmental sciences
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Orbital forcing of tree-ring data

2012

Based on an analysis of maximum latewood density data from northern Scandinavia, along with published dendrochronological records, this study finds evidence that previous tree-ring-reliant reconstructions of large-scale near-surface air temperature underestimated long-term pre-industrial warmth during Medieval and Roman times. Solar insolation changes, resulting from long-term oscillations of orbital configurations1, are an important driver of Holocene climate2,3. The forcing is substantial over the past 2,000 years, up to four times as large as the 1.6 W m−2 net anthropogenic forcing since 1750 (ref. 4), but the trend varies considerably over time, space and with season5. Using numerous hi…

010506 paleontology010504 meteorology & atmospheric sciencesOrbital forcingGlobal changeEnvironmental Science (miscellaneous)01 natural sciencesLatitudeCarbon cycleBorealArctic13. Climate actionClimatologyTree ring dataSocial Sciences (miscellaneous)GeologyHolocene0105 earth and related environmental sciencesNature Climate Change
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