Search results for "Spatial variability"

showing 10 items of 162 documents

Spatial variability of muscle activity during human walking: The effects of different EMG normalization approaches

2015

Human leg muscles are often activated inhomogeneously, e.g. in standing. This may also occur in complex tasks like walking. Thus, bipolar surface electromyography (sEMG) may not accurately represent whole muscle activity. This study used 64-electrode high-density sEMG (HD-sEMG) to examine spatial variability of lateral gastrocnemius (LG) muscle activity during the stance phase of walking, maximal voluntary contractions (MVCs) and maximal M-waves, and determined the effects of different normalization approaches on spatial and inter-participant variability. Plantar flexion MVC, maximal electrically elicited M-waves and walking at self-selected speed were recorded in eight healthy males aged 2…

AdultMaleNormalization (statistics)EMG normalizationmedicine.medical_specialtyWalkingElectromyographyta3112Young AdultPhysical medicine and rehabilitationmedicineHumansHuman legMuscle activityMultichannel EMGMuscle Skeletalta315MathematicsLegmedicine.diagnostic_testElectromyographyGeneral NeuroscienceReproducibility of ResultsSignal Processing Computer-AssistedElectric StimulationElectromyogramData Interpretation StatisticalGait analysisPhysical therapySpatial variabilityGait analysisPeak valuehuman activitiesLateral gastrocnemiusNEUROSCIENCE
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AEROgui: A graphical user interface for the optical properties of aerosols

2014

Atmospheric aerosols have an uncertain effect on climate and serious impacts on human health. The uncertainty in the aerosols' role on climate has several sources. First, aerosols have great spatial and temporal variability. The spatial variability arises from the fact that aerosols emitted in a certain place can travel thousands of kilometers, swept by the winds to modify the destination region's climate. The spatial variability also means that aerosols are inhomogeneously distributed in the vertical direction, which can lead to a differential effect on the energy balance depending on the aerosols' altitude. On the other hand, aerosols experience physical and chemical transformations in th…

AerosolsAtmospheric ScienceMeteorologyLead (sea ice)Energy balanceAtmospheric sciencesAerosolAtmosphereAltitudeVertical directionEnvironmental scienceSatelliteSpatial variabilityPhysics::Atmospheric and Oceanic PhysicsCanvis climàtics
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Distribution of clay minerals in Early Jurassic Peritethyan seas: palaeoclimatic significance inferred from multiproxy comparisons.

2009

13 pages; International audience; A set of published, unpublished, and new clay mineral data from 60 European and Mediterranean localities allows us to test the reliability of clay minerals as palaeoclimatic proxies for the Pliensbachian–Toarcian period (Early Jurassic) by reconstructing spatial and temporal variations of detrital fluxes at the ammonite biochronozone resolution. In order to discuss their palaeoclimatic meaning, a compilation of low-latitude belemnite δ18O, δ13C, Mg/Ca, and 87Sr/86Sr values is presented for the first time for the whole Pliensbachian– Toarcian period. Once diagenetic and authigenic biases have been identified and ruled out, kaolinite content variation is cons…

AmmoniteMediterranean climatePaleontologyPliensbachianAuthigenicToarcianOceanographyPalaeoclimate[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistrylanguage.human_languageDiagenesisClay mineralsPaleontology[ SDE.MCG ] Environmental Sciences/Global ChangesPaleoclimatologylanguageKaoliniteSpatial variability[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyClay mineralsEcology Evolution Behavior and SystematicsGeologyEarth-Surface Processes
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Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

2021

The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a high spectral resolution that constrains the spatial resolution while significantly increasing the subpixel land-cover heterogeneity. Precisely, this spatial variability often makes that rather different canopy structures are aggregated together, which eventually generates important deviations in the corresponding parameter quantification. In the context of the Copernicus program (and other related Earth Explorer missions), this article propose…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencevegetation mappingGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)02 engineering and technologyLand coverearthSentinel-2 (S2)01 natural sciencessentinel-3 (S3)FLEXcharacterizationComputers in Earth SciencesImage resolutionTC1501-1800spatial resolutionBiophysical productsSentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQC801-809biophysical productsbiological system modelingSubpixel renderingSpatial heterogeneityOcean engineeringinstrumentsfluorescence EXplorer (FLEX)Spatial ecologyflexible printed circuitssentinel-2 (S2)Spatial variabilityspatial distributionssensor phenomena
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Assessing the suitability of American National Aeronautics and Space Administration (NASA) agro-climatology archive to predict daily meteorological v…

2017

Abstract For decades, the importance of evapotranspiration processes has been recognized in many disciplines, including hydrologic and drainage studies, irrigation systems design and management. In this research, the suitability of the Prediction Of Worldwide Energy Resource database published by the American National Aeronautics and Space Administration (POWER-NASA), to estimate daily meteorological variables and ET 0 was assessed in Sicily, Italy, for the period 2006–2014, based on ground data measured by a network of climate stations belonging to the regional Agro-meteorological Information Service (SIAS). After comparing the climate data (minimum, T min , maximum, T max , and average, T…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorology01 natural sciencesFAO-56 PM equationWind speedLatitudeAeronauticsEnglishEvapotranspirationSIAS climate stations networkSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliReference evapotranspirationPOWER-NASA agro-climatological archivePenman–Monteith equation0105 earth and related environmental sciencesGlobal and Planetary ChangeElevationHumidityForestry04 agricultural and veterinary sciencesClimatology040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilityLongitudeAgronomy and Crop Science
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Landslide susceptibility mapping using precipitation data, Mazandaran Province, north of Iran

2017

Precipitation is a nonlinear and complex phenomenon and varies in time and space. It is also evident that there is a link between precipitation and shallow landslides, and precipitation is always considered as a landslide-triggering factor. This study aims to investigate the relationship between the characteristics of precipitation and the historical shallow landslides in Mazandaran Province, north of Iran. For this purpose, the spatial variability of rainfall was analyzed using monthly rainfall data collected at 15 synoptic stations distributed over the region between 1981 and 2014. Monthly precipitation and other derived parameters were used, and a hybrid model combining principal compone…

Atmospheric Science010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnologyPrincipal component analysiPrecipitation02 engineering and technology01 natural sciencesNatural hazardEarth and Planetary Sciences (miscellaneous)Cluster analysiPrecipitation0105 earth and related environmental sciencesWater Science and TechnologyHydrologyHydrogeologyLandslideLandslide susceptibility020801 environmental engineeringLandslideMazandaran ProvinceClimatologyPrincipal component analysisSpatial variabilitySettore GEO/05 - Geologia ApplicataHybrid modelGeologyNatural Hazards
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Temperature interpolation by local information ; the example of France

2010

International audience; Methods of interpolation, whether based on regressions or on kriging, are global methods in which all the available data for a given study area are used. But the quality of results is affected when the study area is spatially very heterogeneous. To overcome this difficulty, a method of local interpolation is proposed and tested here with temperature in France. Starting from a set of weather stations spread across the country and digitized as 250 m-sided cells, the method consists in modelling local spatial variations in temperature by considering each point of the grid and the n weather stations that are its nearest neighbours. The procedure entails a series of steps…

Atmospheric Science010504 meteorology & atmospheric sciencesbusiness.industrytemperature[SHS.GEO]Humanities and Social Sciences/Geography010501 environmental sciences01 natural sciencesinterpolationMultivariate interpolation[ SHS.GEO ] Humanities and Social Sciences/GeographyNearest-neighbor interpolation13. Climate actionKrigingPolygonStatisticsLinear regressionSpatial variabilityFrancebusiness0105 earth and related environmental sciencesSubdivisionMathematicsInterpolation
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A spatially consistent downscaling approach for SMOS using an adaptive window

2017

The European Space Agency (ESA)'s Soil Moisture and Ocean Salinity (SMOS) is the first spaceborne mission using L-band radiometry to monitor the Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed to improve the quality and applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm for SMOS is proposed to obtain high-resolution (HR) SM maps at 1 km (L4), from the ∼40 km native resolution of the instrument. This algorithm introduces the concept of a shape adaptive moving window as an improvement of the current semi-empirical downscaling approach at SMOS Barcelona Expert Center, based on the “universal triangle…

Atmospheric ScienceBrightnessTeledeteccióMean squared error010504 meteorology & atmospheric sciencesREMEDHUS0211 other engineering and technologiesHigh resolution02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexBECComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingNative resolutionAdaptive moving windowLow resolutionMoving windowRemote sensing:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Orbit (dynamics)RadiometryEnvironmental scienceSpatial variabilitySoil moistureSòls -- HumitatDownscalingSMOS
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An Analysis of Regional and Intra-annual Precipitation Variability over Iran using Multivariate Statistical Methods

1998

The temporal and spatial precipitation regime of Iran was analysed using multivariate analyses of monthly mean precipitation records for 71 stations. A Principal Component Analysis was applied to the correlation matrix in order to describe the intra-annual variations of precipitation. The Principal Component scores were mapped to visualize the spatial structure of the three derived precipitation regimes. By applying an agglomerative clustering (WARD) of the three Principal Component scores, five homogeneous spatial clusters, representing five precipitation regions, were developed. The intra-annual types of precipitation distribution, shown by the five clusters, are described and discussed.

Atmospheric ScienceMultivariate analysisSpatial structureCovariance matrixClimatologyPrincipal component analysisStatisticsPrecipitation typesEnvironmental scienceSpatial variabilityPrecipitationHierarchical clusteringTheoretical and Applied Climatology
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20th century droughts in southern Africa: spatial and temporal variability, teleconnections with oceanic and atmospheric conditions

2001

Southern African rainfall does not show any trend to desiccation during the 20th century. However, the subcontinent experienced particularly severe droughts in the 1980s and at the beginning of the 1990s and the magnitude of the interannual summer rainfall variability shows significant changes. Modifications of the intensity and spatial extension of droughts is associated with changes in ocean–atmosphere teleconnection patterns. This paper focuses mostly on the well-documented 1950–1988 period and on late summer season (January–March). A principal component analysis on southern African rainfall highlights modifications of the rainfall variability magnitude. The 1970–1988 period had more var…

Atmospheric ScienceSea surface temperatureIndian oceanEl Niño Southern OscillationGeographyAnomaly (natural sciences)ClimatologyPeriod (geology)TropicsSpatial variabilityTeleconnectionInternational Journal of Climatology
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