Search results for "RIG"

showing 10 items of 9548 documents

Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

2020

Abstract This paper presents the algorithm developed in LSA-SAF (Satellite Application Facility for Land Surface Analysis) for the derivation of global vegetation parameters from the AVHRR (Advanced Very High Resolution Radiometer) sensor on board MetOp (Meteorological–Operational) satellites forming the EUMETSAT (European Organization for the Exploitation of Meteorological Satellites) Polar System (EPS). The suite of LSA-SAF EPS vegetation products includes the leaf area index (LAI), the fractional vegetation cover (FVC), and the fraction of absorbed photosynthetically active radiation (FAPAR). LAI, FAPAR, and FVC characterize the structure and the functioning of vegetation and are key par…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerImage and Video Processing (eess.IV)0211 other engineering and technologies02 engineering and technologyVegetationElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionKrigingFOS: Electrical engineering electronic engineering information engineeringRadiative transferRange (statistics)Environmental scienceSatelliteSensitivity (control systems)Computers in Earth SciencesLeaf area indexEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingISPRS Journal of Photogrammetry and Remote Sensing
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Cosmic-Ray Anisotropies in Right Ascension Measured by the Pierre Auger Observatory

2020

We present measurements of the large-scale cosmic-ray anisotropies in right ascension, using data collected by the surface detector array of the Pierre Auger Observatory over more than 14 years. We determine the equatorial dipole component, ~d⊥, through a Fourier analysis in right ascension that includes weights for each event so as to account for the main detector-induced systematic effects. For the energies at which the trigger efficiency of the array is small, the “East-West” method is employed. Besides using the data from the array with detectors separated by 1500 m, we also include data from the smaller but denser sub-array of detectors with 750 m separation, which allows us to extend …

010504 meteorology & atmospheric sciencesAstronomyAstrophysicsAstrophysicsanisotropy [cosmic radiation]Amplitude01 natural sciencessurface [detector]010303 astronomy & astrophysicsRight ascensionastro-ph.HEPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsOBSERVATÓRIOSGalactic CenterAstrophysics::Instrumentation and Methods for AstrophysicsCosmic RaysAugerobservatoryAmplitudePhysics::Space PhysicsAstrophysics - High Energy Astrophysical PhenomenaExtragalactic cosmic rayAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic raycosmic radiation: anisotropyExtragalactic cosmic rayGalactic center0103 physical sciencesHigh Energy PhysicsPierre auger observatory0105 earth and related environmental sciencesPierre Auger Observatorydetector: surfaceFísicaAstronomy and AstrophysicsCosmic rayefficiency [trigger]GalaxyDipole* Automatic Keywords *Space and Planetary ScienceExperimental High Energy Physicstrigger: efficiencyddc:520galaxyDipoleObservatoryEnergy (signal processing)anisotropiesRight ascension[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Energy (signal processing)dipoleThe Astrophysical Journal
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High Resolution X-ray Spectroscopy of T Tauri Stars in the Taurus-Auriga Complex

2006

Differences have been reported between the X-ray emission of accreting and non-accreting stars. Some observations have suggested that accretion shocks could be responsible for part of the X-ray emission in Classical T Tauri stars (CTTS). We present high-resolution X-ray spectroscopy of nine pre-main sequence stars in order to test the proposed spectroscopic differences between accreting and non-accreting pre-main sequence stars. We use X-ray spectroscopy from the XMM-Newton Reflection Grating Spectrometers and the EPIC instruments. We interpret the spectra using optically thin thermal models with variable abundances, together with an absorption column density. For BP Tau and AB Aur we deriv…

010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesSpectral line0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysicsAURIGAStar formationAstrophysics (astro-ph)Astronomy and AstrophysicsAbundance of the chemical elementsAccretion (astrophysics)StarsT Tauri star13. Climate actionSpace and Planetary ScienceAstrophysics::Earth and Planetary AstrophysicsMain sequence
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Smap-based retrieval of vegetation opacity and albedo

2020

Over land the vegetation canopy affects the microwave brightness temperature by emission, scattering and attenuation of surface soil emission. The questions addressed in this study are: 1) what is the transparency of the vegetation canopy for different biomes around the Globe at the low-frequency L-band?, 2) what is the seasonal amplitude of vegetation microwave optical depth for different biomes?, 3) what is the effective scattering at this frequency for different vegetation types?, 4) what is the impact of imprecise characterization of vegetation microwave properties on retrieval of soil surface conditions? These questions are addressed based on the recently completed one full annual cycl…

010504 meteorology & atmospheric sciencesBiome0211 other engineering and technologiesFOS: Physical sciences02 engineering and technology15. Life on landAlbedoAnnual cycle01 natural sciencesGeophysics (physics.geo-ph)Physics - GeophysicsMicrowave imaging13. Climate actionBrightness temperaturemedicineEnvironmental sciencemedicine.symptomVegetation (pathology)Water contentOptical depth021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Diving into exoplanets: Are water seas the most common?

2019

One of the basic tenets of exobiology is the need for a liquid substratum in which life can arise, evolve, and develop. The most common version of this idea involves the necessity of water to act as such a substratum, both because that is the case on Earth and because it seems to be the most viable liquid for chemical reactions that lead to life. Other liquid media that could harbor life, however, have occasionally been put forth. In this work, we investigate the relative probability of finding superficial seas on rocky worlds that could be composed of nine different, potentially abundant, liquids, including water. We study the phase space size of habitable zones defined for those substance…

010504 meteorology & atmospheric sciencesExtraterrestrial EnvironmentMilky WayOrigin of LifePlanets01 natural sciencesAstrobiologyAbundance (ecology)Planet0103 physical sciencesExobiology010303 astronomy & astrophysicsEcosystem0105 earth and related environmental sciencesProbabilityExoseasModels StatisticalHabitable zoneExoplanetsLead (sea ice)WaterAgricultural and Biological Sciences (miscellaneous)ExoplanetTidal lockingSpace and Planetary ScienceSolventsAstrophysics::Earth and Planetary AstrophysicsRelative probabilityCircumstellar habitable zoneGeology
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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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Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources

2020

The ESA’s forthcoming FLuorescence EXplorer (FLEX) mission is dedicated to the global monitoring of the vegetation’s chlorophyll fluorescence by means of an imaging spectrometer, FLORIS. In order to properly interpret the fluorescence signal in relation to photosynthetic activity, essential vegetation variables need to be retrieved concomitantly. FLEX will fly in tandem with Sentinel-3 (S3), which conveys the Ocean and Land Colour Instrument (OLCI) that is designed to characterize the atmosphere and the terrestrial vegetation at a spatial resolution of 300 m. In this work we present the retrieval models of four essential biophysical variables: (1) Leaf Area Index (LAI), (2) leaf chlorophyll…

010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologyImaging spectrometerSoil ScienceGeology02 engineering and technologyVegetationSpectral bands15. Life on land01 natural sciencesArticle020801 environmental engineeringPhotosynthetically active radiationKrigingEnvironmental scienceComputers in Earth SciencesLeaf area indexImage resolution0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations

2021

Abstract Estimation of Green Area Index (GAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) from decametric satellites was investigated in this study using a large database of ground measurements over croplands. It covers six main crop types including rice, corn, wheat and barley, sunflower, soybean and other types of crops. Ground measurements were completed using either digital hemispherical cameras, LAI-2000 or AccuPAR devices over sites representative of a decametric pixel. Sites were spread over the globe and the data collected at several growth stages concurrently to the acquisition of Landsat-8 images. Several machine learning techniques were investigated to re…

010504 meteorology & atmospheric sciencesMean squared errorArtificial neural networkCalibration (statistics)0208 environmental biotechnologyEmpirical modellingSoil ScienceGeology02 engineering and technology01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringSupport vector machineData pointKrigingComputers in Earth SciencesAlgorithm0105 earth and related environmental sciencesRemote sensingMathematicsRemote Sensing of Environment
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Gaussian Processes Retrieval of LAI from Sentinel-2 Top-of-Atmosphere Radiance Data

2020

Abstract Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithms directly from top-of-atmosphere (TOA) radiance data. One of the key vegetation variables that can be retrieved from at-sensor TOA radiance data is leaf area index (LAI) if algorithms account for variability in atmosphere. We demonstrate the feasibility of LAI retrieval from Sentinel-2 (S2) TOA radiance data (L1C product) in a hybrid machine learning framework. To achieve this, the coupled leaf-canopy-atmosphere radiative transfer models PROSAIL-6SV were used to simulate a look-up table (LUT) of TOA radi…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesAtmospheric correctionFOS: Physical sciences02 engineering and technology15. Life on land01 natural sciencesAtomic and Molecular Physics and OpticsArticleComputer Science ApplicationsPhysics - Atmospheric and Oceanic PhysicsAtmospheric radiative transfer codesKrigingAtmospheric and Oceanic Physics (physics.ao-ph)RadianceSatelliteComputers in Earth SciencesLeaf area indexScale (map)Engineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

2020

Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the promising algorithms, Gaussian process regression (GPR) proved to be a competitive time series gap-filling algorithm with the advantage of, as developed within a Bayesian framework, providing associated uncertainty estimates. Nevertheless, the processing of time series images becomes computationally inefficient in its standard per-pixel usage, mainly for GPR training rather than the fitting step. To…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesImage processing02 engineering and technologycomputer.software_genre01 natural scienceslcsh:AgricultureKrigingTime series021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerHyperparameterPixelSeries (mathematics)lcsh:SGaussian processes regressionSatellite Image Time SeriesData miningtime seriesSentinel-2optimizationAgronomy and Crop Sciencecomputercrop monitoringphenology indicatorsAgronomy
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