Search results for " RAD"

showing 10 items of 7082 documents

Assessment of the Potential Evapotranspiration MODIS Product Using Ground Measurements in the Pampas

2018

Evapotranspiration is the hydrological variable of greatest relevance in the Argentina Pampas Region (APR). The estimation of potential evapotranspiration (PET) in this area becomes essential since primary productivity is directly linked to water availability. In order to evaluate the MOD16_A2 product of evapotranspiration (ET), a comparison with in situ measurements was conducted. We used ET data provided by the Oficina de Riesgo Agropecuario, corresponding to 24 stations placed in the region covering all seasons for the years 2012 to 2014. Results show an overestimation of 86% and 52% in Autumn-Winter and Spring-Summer, respectively. Mean Absolut Error (MAE) range between ±0.9 and ±2.1 mm…

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyLongwave radiationAtmospheric sciences01 natural sciencesTerm (time)EvapotranspirationProduct (mathematics)Range (statistics)Environmental sciencePrimary productivity021101 geological & geomatics engineering0105 earth and related environmental sciences2018 IEEE Biennial Congress of Argentina (ARGENCON)
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Two-year global simulation of L-band brightness temperatures over land

2003

International audience; This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale. The microwave emission of various land-covers (herbaceous and woody vegetation, frozen and unfrozen bare soil, snow, etc.) was computed using a simple model [L-band Microwave Emission of the Biosphere (L-MEB)] based on radiative transfer equations. The soil and vegetation characteristics needed to initialize the L-MEB model were derived from existing land-cover maps. Continuous simulations from a land-surface scheme for 1987 and 1988 provided time series of the main variables driving t…

010504 meteorology & atmospheric sciences0211 other engineering and technologiesmodeling02 engineering and technologyLand coverVegetation[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringSnow01 natural sciencesPhysics::GeophysicsBrightness temperatureglobal scaleSoil waterRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryL-band radiometryElectrical and Electronic Engineeringsoil moistureWater content[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

2021

Funding Information: We are thankful to the GlobBiomass project team and Frank Martin Seifert (ESA) for valuable suggestions and stimulating scientific discussions. We are thankful to Takeo Tadono (JAXA EORC), Masato Hayashi, (JAXA EORC), Kazufumi Kobayashi (RESTEC), Åke Rosenqvist (soloEO), and Josef Kellndorfer (EBD) for support with the use and interpretation of the ALOS PALSAR mosaics. Support by the CCI Land Cover project team, in particular Sophie Bontemps (UCL), is greatly acknowledged. The help from Martin Jung (MPI-BGC) in feature selection and Ulrich Weber (MPI-BGC) for data processing for the GSV-to-AGB conversions is greatly acknowledged. Forest inventory data for the validation…

010504 meteorology & atmospheric sciencesALOS PALSAR0211 other engineering and technologies02 engineering and technology01 natural sciencesLaboratory of Geo-information Science and Remote SensingSDG 13 - Climate ActionGE1-350BiomassEMISSIONSSDG 15 - Life on LandQE1-996.5GROWING STOCK VOLUMETaigaGeologyPE&RCPlant Production SystemsMAPbiomaCARBON-CYCLECrop and Weed EcologySynthetic aperture radarPhysical geographyRETRIEVALUNITED-STATESEarth and Planetary Sciences(all)Synthetic aperture radarSubtropicsSpatial distributionEnvironmental scienceCarbon cycletropicsTemperate climateBOREAL FORESTSMANAGEMENTLife ScienceSpatial ecologySpatial distributionLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesForest inventoryRadarTemperate climateEnvironmental sciencesSatelliteEarth and Environmental SciencesDENSITYPlantaardige ProductiesystemenSpatial ecologyEnvironmental scienceGeneral Earth and Planetary SciencescavelabPhysical geographyForest inventory
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Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves

2016

Abstract Reference evapotranspiration (ET 0 ) is widely used for irrigation scheduling, to promote an efficient use of water resources for a sustainable agro-ecosystem productivity, as well as to manage water quality and to face other environmental concerns. As suggested by ASCE-EWRI and FAO, standard Penman–Monteith methods are generally applied for an accurate estimation of ET 0 from hourly to daily scale. In absence of detailed meteorological information several simplified equations, using a limited number of variables, have been proposed as alternative. In this paper, the performance of different reference evapotranspiration methods, at hourly (Penman–Monteith, Pristley–Taylor, Makkink …

010504 meteorology & atmospheric sciencesASCE and FAO-56 papers0208 environmental biotechnologySoil Science02 engineering and technologyET Radiation based models01 natural scienceslaw.inventionWater balancelawScintillometerEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliReference evapotranspiration; ASCE and FAO-56 papers; Scintillometer; ET Radiation based modelsReference evapotranspirationPenman–Monteith equation0105 earth and related environmental sciencesWater Science and TechnologyEarth-Surface ProcessesHydrologyEvapotranspirationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaIrrigation schedulingMicrometeorology020801 environmental engineeringWater resourcesScintillometerEnvironmental scienceWater qualityMediterranean climateScale (map)Agronomy and Crop Science
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The high-resolution far-infrared spectrum of methane at the SOLEIL synchrotron

2010

International audience; As a tetrahedral molecule, methane has no permanent dipole moment. Its spectrum, however, displays faint absorption lines in the THz region, due to centrifugal distorsion effects. This is important for planetary applications since this region is used to measure methane concentration in some planetary atmospheres, in particular on Titan. Up to now, all measurements relied either on some old low resolution infrared absorption spectra, or on high resolution Stark measurements for low J values only. Even if these results have been reexamined recently [E. H. Wishnow, G. S. Orton, I. Ozier and H. P. Gush, J. Quant. Spectrosc. Radiat. Transfer 103, 102-117 (2007)], it seeme…

010504 meteorology & atmospheric sciencesAbsorption spectroscopyAnalytical chemistrySynchrotron radiationFar infrared7. Clean energy01 natural sciencesSpectral linelaw.inventionOpticsFar infraredlaw0103 physical sciencesAbsorption (logic)010303 astronomy & astrophysicsSpectroscopy0105 earth and related environmental sciencesPhysicsRadiationSynchrotron radiationbusiness.industryResolution (electron density)BremsstrahlungAtomic and Molecular Physics and OpticsSynchrotron[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry13. Climate action[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistrybusinessTitanMethaneLine intensities
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Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites

2020

We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites also known as EUMETSAT Polar System (EPS). A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one model per parameter. The method relies on multi-output Gaussian Processes Regression (GPR) trained over PROSAIL EPS simulations. A sensitivity analysis is performed to assess several sources of uncertainties in retrievals and maximize the positive impact of modeling the noise in training simulations. We describe the ma…

010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerComputer scienceImage and Video Processing (eess.IV)0211 other engineering and technologiesPolar orbit02 engineering and technologyVegetationAtmospheric modelElectrical Engineering and Systems Science - Image and Video Processing01 natural sciencesGround-penetrating radarFOS: Electrical engineering electronic engineering information engineeringSatelliteSensitivity (control systems)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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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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Lidar sounding of volcanic plumes

2013

ABSTRACT Accurate knowledge of gas composition in volcanic plumes has high scientific and societal value. On the one hand, it gives information on the geophysical processes taking place inside volcanos; on the other hand, it provides alert on possible eruptions. For this reasons, it has been suggested to monitor volcanic plumes by lidar. In particular, one of the aims of the FP7 ERC project BRIDGE is the measurement of CO 2 concentration in volcanic gases by differential absorption lidar. This is a very challenging task due to the harsh environment, the narrowness and weakness of the CO 2 absorption lines and the difficulty to procure a suitable laser source. This paper, after a review on r…

010504 meteorology & atmospheric sciencesAerosol load01 natural sciencesVolcanic plume010309 opticsVolcanic Gases0103 physical scienceseventGas compositionAbsorption (electromagnetic radiation)Water vapor0105 earth and related environmental sciencesRemote sensingevent.disaster_typeLidargeographygeography.geographical_feature_categoryAerosolDepth soundingLidarCarbon dioxideVolcano13. Climate actionAerosol load; Carbon dioxide; Differential absorption; Lidar; Volcanic plumes; Water vaporDifferential absorptionWater vaporGeologyLidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IX
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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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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