Search results for " earth"

showing 10 items of 8811 documents

The Mechanical Impact of Water Affected the Soil Physical Quality of a Loam Soil under Minimum Tillage and No-Tillage: An Assessment Using Beerkan Mu…

2021

The multi-height (low, L = 3 cm

soil physical quality010504 meteorology & atmospheric sciencesSoil scienceinfiltration01 natural scienceslcsh:AgricultureField capacitySoil managementMinimum tillagesoil sealingsoil water retentionSoil retrogression and degradation0105 earth and related environmental sciencesNature and Landscape ConservationBEST-steadyGlobal and Planetary ChangeEcologySoil physicslcsh:S04 agricultural and veterinary sciencesInfiltration (hydrology)LoamSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceLand
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Assessing the quality of dissolved organic matter in forest soils using ultraviolet absorption spectrophotometry

2007

Abbreviations: DOC, dissolved organic carbon; SUVA, specifi c ultraviolet absorbance; UV, ultraviolet. Ultraviolet spectrophotometry was used to investigate the effects, 30 yr after planting, of tree species substitution on the aromatic C content and related properties of dissolved organic carbon (DOC). Precautions were taken to correct measurements for the absorbance of NO 3 and dissolved Fe. In litter leachates, a signifi cant reduction in the aromatic content of DOC was found in the Douglas-fi r [Pseudotsuga menziesii (Mirb.) Franco] plantation but not in the beech (Fagus sylvatica L.) plantation. The disturbance of short-term C dynamics thus revealed agreed well with fi eld observations…

solSoil Science010501 environmental sciencesDOC01 natural sciencesAbsorbanceFagus sylvatica[CHIM.ANAL]Chemical Sciences/Analytical chemistryBotanyDissolved organic carbonBeechComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesbiologyChemistrySoil organic matterSowing04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationdissolved organic carbonUVEnvironmental chemistrySoil water040103 agronomy & agricultureLitter0401 agriculture forestry and fisheries[ CHIM.ANAL ] Chemical Sciences/Analytical chemistry
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On-Orbit Degradation of Solar Instruments

2013

International audience; We present the lessons learned about the degradation observed in several space solar missions, based on contributions at the Workshop about On-Orbit Degradation of Solar and Space Weather Instruments that took place at the Solar Terrestrial Centre of Excellence (Royal Observatory of Belgium) in Brussels on 3 May 2012. The aim of this workshop was to open discussions related to the degradation observed in Sun-observing instruments exposed to the effects of the space environment. This article summarizes the various lessons learned and offers recommendations to reduce or correct expected degradation with the goal of increasing the useful lifespan of future and ongoing s…

solar instruments[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]010504 meteorology & atmospheric sciencesFOS: Physical sciencesSolar missionSpace weatherSpace (commercial competition)7. Clean energy01 natural sciencesSpace explorationDegradationContaminationObservatory0103 physical sciencesAerospace engineeringInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesbusiness.industryAstronomy and Astrophysicscon- taminationcalibrationspace environment[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary ScienceOrbit (dynamics)Environmental scienceAstrophysics - Instrumentation and Methods for AstrophysicsbusinessSpace environmentDegradation (telecommunications)SOLAR PHYSICS
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SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm

2014

Computing a hierarchical clustering of objects from a pairwise distance matrix is an important algorithmic kernel in computational science. Since the storage of this matrix requires quadratic space with respect to the number of objects, the design of memory-efficient approaches is of high importance to this research area. In this paper, we address this problem by presenting a memory-efficient online hierarchical clustering algorithm called SparseHC. SparseHC scans a sorted and possibly sparse distance matrix chunk-by-chunk. Meanwhile, a dendrogram is built by merging cluster pairs as and when the distance between them is determined to be the smallest among all remaining cluster pairs. The k…

sparse matrixClustering high-dimensional dataTheoretical computer scienceonline algorithmsComputer scienceSingle-linkage clusteringComplete-linkage clusteringNearest-neighbor chain algorithmConsensus clusteringmemory-efficient clusteringCluster analysisk-medians clusteringGeneral Environmental ScienceSparse matrix:Engineering::Computer science and engineering [DRNTU]k-medoidsDendrogramConstrained clusteringHierarchical clusteringDistance matrixCanopy clustering algorithmGeneral Earth and Planetary SciencesFLAME clusteringHierarchical clustering of networkshierarchical clusteringAlgorithmProcedia Computer Science
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Mapping soil water content under sparse vegetation and changeable sky conditions: comparison of two thermal inertia approaches

2013

A critical analysis of a thermal inertia approach to map surface soil water content on bare and sparsely vegetated soils by means of remotely sensed data is reported. The study area is an experimental field located in Barrax, Spain. In situ data were acquired within the Barrax 2011 research project. An advanced hyperspectral scanner airborne imager provides images in the visible/near-infrared and thermal infrared bands. Images were acquired both in day and night times by the Instituto Nacional de Técnica Aeroespacial between 12th and 13th of June 2011. The scene covers a corn irrigation pivot surrounded by bare soil, where a set of in situ data have been collected both previously and simult…

sparse vegetationCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaHyperspectral imagingcloudiness.soil water contentVegetationthermal inertiaSoil thermal propertiesSkySoil waterThermographyGeneral Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWater contentSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensing
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Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

2018

We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure, based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with the current available methods. Moreover, the proposed method can be used in the case of both separable and non-separable parametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquake sequences comparing several Cox model specifications.

spatio-temporal pair correlation functionEnvironmental EngineeringGaussianminimum contrast methodnon-separable covariance function010502 geochemistry & geophysics01 natural sciencesPoint processGaussian random fieldSet (abstract data type)010104 statistics & probabilitysymbols.namesakeCorrelation functionEnvironmental Chemistry0101 mathematicsSafety Risk Reliability and Qualityearthquakes0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsMathematicslog-Gaussian Cox processesEstimation theoryContrast (statistics)symbolsEarthquakes Log-Gaussian Cox processes Minimum contrast method Non-separable covariance function Spatio-temporal pair correlation functionSettore SECS-S/01 - StatisticaAlgorithm
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SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

2017

Progress in advanced radiative transfer models (RTMs) led to an improved understanding of reflectance (R) and sun-induced chlorophyll fluorescence (SIF) emission throughout the leaf and canopy. Among advanced canopy RTMs that have been recently modified to deliver SIF spectral outputs are the energy balance model SCOPE and the 3D models DART and FLIGHT. The downside of these RTMs is that they are computationally expensive, which makes them impractical in routine processing, such as scene generation and retrieval applications. To bypass their computational burden, a computationally effective technique has been proposed by only using a limited number of model runs, called emulation. The idea …

spectroscopy010504 meteorology & atmospheric sciencesComputer sciencesun-induced fluorescence0211 other engineering and technologiesEnergy balanceemulation02 engineering and technology01 natural scienceschemistry.chemical_compoundradiative transfer modellingSCOPERadiative transferlcsh:Sciencescene generationChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationArtificial neural networkFluorescencemachine learningLatin hypercube samplingchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QAlgorithmRemote Sensing
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Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spe…

2016

Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative to conventional hyperspectral pushbroom scanners because they enable enhanced processing and interpretation potential by allowing for acquisition of the 3-D geometry of the object and multiple object views together with the hyperspectral reflectance signatures. The objective of this investigation was to study the performance of novel visible and near-infrared (VNIR) and short-wave infrared (SWIR) hyperspectral frame cameras based on a tunable Fabry–Pérot interferometer (FPI) in measuring a 3-D digital sur…

spectroscopygeometry010504 meteorology & atmospheric sciencesInfraredspektroskopiata11710211 other engineering and technologiesGeometryradiometry02 engineering and technologyremotely piloted aircraft01 natural scienceskalibrointiremote sensingCalibrationgeographic information systemComputer visionElectrical and Electronic Engineeringta218021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingta113ta213Contextual image classificationbusiness.industryHyperspectral imagingOtaNanocalibrationstereo visionVNIRInterferometryGeneral Earth and Planetary SciencesRGB color modelEnvironmental scienceRadiometrygeometriakaukokartoitusArtificial intelligencebusinessimage classificationIEEE Transactions on Geoscience and Remote Sensing
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Impact of Structural, Photochemical and Instrumental Effects on Leaf and Canopy Reflectance Variability in the 500–600 nm Range

2021

Current rapid technological improvement in optical radiometric instrumentation provides an opportunity to develop innovative measurements protocols where the remote quantification of the plant physiological status can be determined with higher accuracy. In this study, the leaf and canopy reflectance variability in the PRI spectral region (i.e., 500–600 nm) is quantified using different laboratory protocols that consider both instrumental and experimental set-up aspects, as well as canopy structural effects and vegetation photoprotection dynamics. First, we studied how an incorrect characterization of the at-target incoming radiance translated into an erroneous vegetation reflectance spectru…

spectroscopyreflectanceproximal sensing; spectroscopy; protocols; irradiance; reflectance; vegetation index; sun-/shade-adapted leaves; xanthophyll cycleirradianceScienceQGeneral Earth and Planetary Sciencesprotocolsproximal sensingvegetation indexRemote Sensing
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Spectroscopic characterization of alkaline earth uranyl carbonates

2005

A series of alkaline uranyl carbonates, M[UO{sub 2}(CO{sub 3}){sub 3}].nH{sub 2}O (M=Mg{sub 2}, Ca{sub 2}, Sr{sub 2}, Ba{sub 2}, Na{sub 2}Ca, and CaMg) was synthesized and characterized by inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectrometry (AAS) after nitric acid digestion, X-ray powder diffraction (XRD), and thermal analysis (TGA/DTA). The molecular structure of these compounds was characterized by extended X-ray absorption fine-structure (EXAFS) spectroscopy and X-ray photoelectron spectroscopy (XPS). Crystalline Ba{sub 2}[UO{sub 2}(CO{sub 3}){sub 3}].6H{sub 2}O was obtained for the first time. The EXAFS analysis showed that this compound consists of …

spectroscopysynthesisAbsorption spectroscopyTRLFSAnalytical chemistryElectron spectroscopyUranyl carbonateuraniumInorganic Chemistrycarbonatechemistry.chemical_compoundXPSMaterials ChemistrystructurePhysical and Theoretical ChemistrySpectroscopyX-ray spectroscopyExtended X-ray absorption fine structureChemistryCondensed Matter PhysicsUranylalkaline earthElectronic Optical and Magnetic MaterialsEXAFSX-ray crystallographyCeramics and CompositesJournal of Solid State Chemistry
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