Search results for "Content"

showing 10 items of 1859 documents

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
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Hydrostratigraphic characterization of glaciofluvial deposits underlying an infiltration basin using ground penetrating radar.

2008

14 pages; International audience; An understanding of the heterogeneity of quaternary gravelly deposits is required to predict flow and contaminant transfer through these formations. In such deposits, preferential flow paths can lead to contamination at depths greater than predicted under the assumption of a homogeneous medium. The difficulties in characterizing their complex structure with conventional methods represent an obstacle for this prediction. In this study, we developed an approach relying on the use of ground penetrating radar (GPR) for the detection of sedimentary depositional units. A genetic interpretation of the radar stratigraphy allowed us to construct a distribution model…

010504 meteorology & atmospheric sciences[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph][SDE.MCG]Environmental Sciences/Global Changes0207 environmental engineeringInfiltration basinSoil Science[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]02 engineering and technology[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy01 natural scienceslaw.inventionSedimentary depositional environment[ SDU.STU.GP ] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph][ PHYS.PHYS.PHYS-GEO-PH ] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]lawRadar020701 environmental engineeringPetrologyGeomorphologyWater content0105 earth and related environmental sciences6. Clean waterInfiltration (hydrology)[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyGround-penetrating radarSedimentary rockSaturation (chemistry)Geology
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Estimating Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach

2018

Estimating parameters for global climate models via combined active and passive microwave remote sensing data has been a subject of intensive research in recent years. A variety of retrieval algorithms has been proposed for the estimation of soil moisture, vegetation optical depth and other parameters. A novel attenuation-based retrieval approach is proposed here to globally estimate the gravimetric moisture of vegetation (m g ) and retrieve information about the amount of water [kg] per amount of wet vegetation [kg]. The parameter m g is particularly interesting for agro-ecosystems, to assess the status of growing vegetation. The key feature of the proposed approach is that it relies on mu…

010504 meteorology & atmospheric sciencesgravimetric moisture0211 other engineering and technologies02 engineering and technology01 natural scienceslaw.inventionlawVegetation optical depthRadarWater contentattenuation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLidarRadarVegetationMoistureAttenuationMicrowave radiometerVegetationSMAPMulti-sensorLidarGravimetric analysisRadiometer
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia Anchor Station

2010

16 páginas, 9 figuras, 5 tablas.

010504 meteorology & atmospheric sciencestélédétectionMISSION SMOS0211 other engineering and technologiesSpaceespagne02 engineering and technologylcsh:Technology01 natural sciencesValidationTraitement du signal et de l'imagelcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentlcsh:Environmental sciencesComputingMilieux_MISCELLANEOUSlcsh:GE1-350InclusionRetrievalMoistureModelling soil moistureSignal and Image processinglcsh:Geography. Anthropology. RecreationRemote sensingDISPOSITIF EXPERIMENTAL; MISSION SMOSProductseurope[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSMOS[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringGrowing seasonParameterizationSpatial distributionlcsh:TD1-1066SchemeHapexspectroradiomètre14. Life underwater[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometerlcsh:TAMSR-Epays méditerranéenSalinityERS scatterometerlcsh:G13. Climate actionDISPOSITIF EXPERIMENTALSoil waterEnvironmental scienceRadiometry
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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The influence of lipid content and taxonomic affiliation on methane and carbon dioxide production from phytoplankton biomass in lake sediment

2021

0106 biological sciences010504 meteorology & atmospheric sciences010604 marine biology & hydrobiologySedimentCarbon dioxide productionAquatic ScienceOceanography01 natural sciencesMethanePhytoplankton biomasschemistry.chemical_compoundchemistryLipid contentEnvironmental chemistryEnvironmental science0105 earth and related environmental sciencesLimnology and Oceanography
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Modelling forest decline using SMOS soil moisture and vegetation optical depth

2018

Global change is increasing the risk of forest decline worldwide, impacting carbon and water cycles. Hence, there is an urgent need for predicting forest decline occurrence. To that purpose, this study links forest decline events in Catalonia, detected by the DEBOSCAT forest monitoring program, with information from the Soil Moisture and Ocean Salinity (SMOS) satellite. Firstly, this study reviews the role of the SMOS soil moisture in a previous forest decline episode occurred in 2012, where the authors concluded that dry soils increased the probability of observing decline in broadleaved forests. Secondly, the present study detects that forest decline in 2012 and 2016 was linked to very dr…

0106 biological sciences010504 meteorology & atmospheric sciencesArtificial satellites in navigationClimate changeGlobal change010603 evolutionary biology01 natural sciencesMonitoring programForest declineSalinitySatèl·lits artificials en navegacióHydric soil:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Soil waterEnvironmental scienceClimate changeVegetation optical depthPhysical geography:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços [Àrees temàtiques de la UPC]Soil moistureSòls -- HumitatWater cycleWater content0105 earth and related environmental sciencesSMOS
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Coping with the climate: cuticular hydrocarbon acclimation of ants under constant and fluctuating conditions

2018

International audience; Terrestrial arthropods achieve waterproofing by a layer of cuticular hydrocarbons (CHCs). At the same time, CHCs also serve as communication signals. To maintain waterproofing under different climate conditions, insects adjust the chemical composition of their CHC layer, but this may affect the communication via CHCs. The detailed acclimatory changes of CHCs and how these influence their physical properties are still unknown. Here, we studied acclimation in two closely related ant species with distinct CHC profiles, Myrmica rubra and Myrmica ruginodis, in response to constant or fluctuating temperature and humidity regimes. We measured how acclimation affected CHC co…

0106 biological sciences0301 basic medicineHot TemperaturePhysiologyDesiccation resistanceAcclimatizationClimateClimate Change[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]Phenotypic plasticityAquatic ScienceMyrmica rubra010603 evolutionary biology01 natural sciencesAcclimatizationDrought survivalCHCs03 medical and health sciencesSpecies SpecificityAnimalsRelative humidityMyrmica ruginodisSolid contentMicrorheologyMolecular BiologyEcology Evolution Behavior and Systematicschemistry.chemical_classificationPhenotypic plasticitybiologyAntsEcologyViscosityHumidityHumidity15. Life on landbiology.organism_classificationHydrocarbons[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology030104 developmental biologyHydrocarbonchemistry13. Climate actionInsect ScienceAnimal Science and Zoology[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/BioclimatologyRheology[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
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Cannibalism facilitates gigantism in a nine-spined stickleback (Pungitius pungitius) population

2016

Cannibalism is a taxonomically widespread phenomenon that can fundamentally affect the structure and stability of aquatic communities, including the emergence of a bimodal size distribution (“dwarfs” and “giants”) in fish populations. Emergence of giants could also be driven or facilitated by parasites that divert host resources from reproduction to growth. We studied the trophic ecology of giant nine-spined sticklebacks (Pungitius pungitius) in a Finnish pond to evaluate the hypotheses that gigantism in this population would be facilitated by cannibalism and/or parasitic infections by Schistocephalus pungitii cestode. Stomach content analyses revealed an initial ontogenetic dietary shift f…

0106 biological sciences0301 basic medicinePopulationparasitismSchistocephalus pungitiiAquatic ScienceBiology010603 evolutionary biology01 natural sciencesPredation03 medical and health sciencesPungitiusmedicinestable isotope analysisindividual specialisation14. Life underwatereducationEcology Evolution Behavior and SystematicsTrophic levelIsotope analysisstomach content analysiseducation.field_of_studyEcologyEcologyCannibalismSticklebackmedicine.diseasebiology.organism_classificationGigantism030104 developmental biologyta1181Ecology of Freshwater Fish
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