Search results for "aging"

showing 10 items of 10496 documents

Empirical and physical estimation of Canopy Water Content from CHRIS/PROBA data

2013

20 páginas, 4 tablas, 7 figuras.

010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologies02 engineering and technologyCHRIS/PROBA01 natural sciencescanopy water content;model inversion;neural networks;look up tables;empirical up-scalingmodel inversionEmpirical up-scalingAtmospheric radiative transfer codeslook up tablesRadiative transferModel inversion021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingArtificial neural networkCanopy water contentQHyperspectral imagingInversion (meteorology)Sigmoid functionSpectral bandsempirical up-scaling15. Life on landneural networks[SDE]Environmental SciencesGeneral Earth and Planetary SciencesLook up tablescanopy water contentNeural networkscanopy water content; model inversion; neural networks; look up tables; empirical up-scaling; CHRIS/PROBA
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Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values

2016

Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km 2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same obser…

010504 meteorology & atmospheric sciencesMeteorologyLandsat 7Science0211 other engineering and technologiesland surface temperatureTerrain02 engineering and technology01 natural sciencesNet radiometertime-space variabilityTermodinàmicaSuperfícies (Fisica)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingGround truthRadiometerQSubpixel renderingsurface heterogeneitysurface heterogeneity; land surface temperature; MODIS; Landsat 7; time-space variability; ground truthMODISGeneral Earth and Planetary SciencesEnvironmental scienceSpatial variabilityModerate-resolution imaging spectroradiometerScale (map)ground truthRemote Sensing
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Evaluation of the MODIS Albedo product over a heterogeneous agricultural area

2013

In this article, the Moderate Resolution Imaging Spectroradiometer MODIS Bidirectional Reflectance Distribution Function BRDF/Albedo product MCD43 is evaluated over a heterogeneous agricultural area in the framework of the Earth Observation: Optical Data Calibration and Information Extraction EODIX project campaign, which was developed in Barrax Spain in June 2011. In this method, two models, the RossThick-LiSparse-Reciprocal RTLSR which corresponds to the MODIS BRDF algorithm and the RossThick-Maignan-LiSparse-Reciprocal RTLSR-HS, were tested over airborne data by processing high-resolution images acquired with the Airborne Hyperspectral Scanner AHS sensor. During the campaign, airborne im…

010504 meteorology & atmospheric sciencesMeteorologyPixel0211 other engineering and technologiesHyperspectral imaging02 engineering and technologyAlbedo01 natural sciencesGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSatellite imageryModerate-resolution imaging spectroradiometerBidirectional reflectance distribution functionZenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInternational Journal of Remote Sensing
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2019

The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. The DUAL module records hyperspectral data in the spectral range from 400–2500 nm, which is useful to derive biochemical and structural plant properties. In parallel, the FLUO module acquires data in the red and near infrared range (670–780 nm), with a distinctly higher spectral sampling interval and finer spectral resolution. The technical specifications of HyPlant FLUO allow for the retrieval of sun-induced chlorophyll fluorescence (SIF), a small signal emitted by plants, which is directly linked to their photosynthetic efficiency. The combined use of both HyPlant modules opens up …

010504 meteorology & atmospheric sciencesNear-infrared spectroscopy0211 other engineering and technologiesImaging spectrometerHyperspectral imaging02 engineering and technology01 natural sciencesSignalDual moduleCalibrationRadianceGeneral Earth and Planetary SciencesEnvironmental scienceSpectral resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing
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Oscillations on Width and Intensity of Slender Ca ii H Fibrils from Sunrise/SuFI

2017

R. Gafeira et. al.

010504 meteorology & atmospheric sciencesPhase (waves)FOS: Physical scienceschromosphere [Sun]Astrophysics01 natural sciencesMolecular physics0103 physical sciencesWave modeSunriseSun: oscillationsTechniques: imaging spectroscopySun: magnetic fields010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesPhysicsSolar observatoryoscillations [Sun]imaging spectroscopy [Techniques]Sun: chromosphereAstronomy and AstrophysicsAstrophysics - Solar and Stellar Astrophysicsmagnetic fields [Sun]Space and Planetary ScienceIntensity (heat transfer)The Astrophysical Journal Supplement Series
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Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

2019

Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be measured by in-field spectroscopy. In this study, the predictive power of spectroscopic data is examined. Five treatments of heavy metal stress (Cu, Zn, Pb, Cr, and Cd) were applied to grapevine seedlings and hyperspectral data (350−2500 nm), and heavy metal contents were collected based on in-field and laboratory experiments. The partial least squares (PLS) method was used as a feature selection technique, and multiple linear regressions (…

010504 meteorology & atmospheric sciencesScience010501 environmental sciences01 natural sciencesMetalHuman healthLinear regressionPartial least squares regressionSpectroscopyheavy metals0105 earth and related environmental sciencesChemistrysvmQfungifield spectroscopy; hyperspectral; heavy metals; grapevine; PLS; SVM; MLRHyperspectral imagingfood and beveragesHeavy metalsplsEnvironmentally friendlyfield spectroscopygrapevinemlrhyperspectralvisual_artEnvironmental chemistryvisual_art.visual_art_mediumGeneral Earth and Planetary SciencesRemote Sensing; Volume 11; Issue 23; Pages: 2731
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Very high spectral resolution imaging spectroscopy: The Fluorescence Explorer (FLEX) mission

2016

The Fluorescence Explorer (FLEX) mission has been recently selected as the 8th Earth Explorer by the European Space Agency (ESA). It will be the first mission specifically designed to measure from space vegetation fluorescence emission, by making use of very high spectral resolution imaging spectroscopy techniques. Vegetation fluorescence is the best proxy to actual vegetation photosynthesis which can be measurable from space, allowing an improved quantification of vegetation carbon assimilation and vegetation stress conditions, thus having key relevance for global mapping of ecosystems dynamics and aspects related with agricultural production and food security. The FLEX mission carries the…

010504 meteorology & atmospheric sciencesSpectrometerbusiness.industry0211 other engineering and technologies02 engineering and technology01 natural sciencesFluorescenceImaging spectroscopyOpticsCarbon assimilationRadianceFLEXEnvironmental scienceSpectral resolutionSpectroscopybusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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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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Digital and Handcrafting Processes Applied to Sound-Studies of Archaeological Bone Flutes

2016

Bone flutes make use of a naturally hollow raw-material. As nature does not produce duplicates, each bone has its own inner cavity, and thus its own sound-potential. This morphological variation implies acoustical specificities, thus making it impossible to handcraft a true and exact sound-replica in another bone. This phenomenon has been observed in a handcrafting context and has led us to conduct two series of experiments (the first-one using handcrafting process, the second-one using 3D process) in order to investigate its exact influence on acoustics as well as on sound-interpretation based on replicas. The comparison of the results has shed light upon epistemological and methodological…

010506 paleontology03 medical and health sciences0302 clinical medicineComputer scienceProcess (engineering)Morphological variationFluteContext (language use)01 natural sciencesArchaeologySound studies030218 nuclear medicine & medical imaging0105 earth and related environmental sciences
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Seasonal and habitat effects on the nutritional properties of savanna vegetation: Potential implications for early hominin dietary ecology.

2019

The African savannas that many early hominins occupied likely experienced stark seasonality and contained mosaic habitats (i.e., combinations of woodlands, wetlands, grasslands, etc.). Most would agree that the bulk of dietary calories obtained by taxa such as Australopithecus and Paranthropus came from the consumption of vegetation growing across these landscapes. It is also likely that many early hominins were selective feeders that consumed particular plants/plant parts (e.g., leaves, fruit, storage organs) depending on the habitat and season within which they were foraging. Thus, improving our understanding of how the nutritional properties of potential hominin plant foods growing in mo…

010506 paleontologyForagingWetlandWoodlandBiologyForests01 natural sciencesGrasslandSoilSouth AfricaSavannaDry seasonAnimals0601 history and archaeologyEcology Evolution Behavior and Systematics0105 earth and related environmental sciences2. Zero hungergeography060101 anthropologygeography.geographical_feature_categoryEcologyProteinfungifood and beveragesHominidae06 humanities and the artsVegetation15. Life on landPlantsbiology.organism_classificationDietary fiberGrasslandKenyaHominin dietHabitatAnthropologyWetlandsParanthropusSeasonsNutritive ValueJournal of human evolution
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