Search results for " Classification"

showing 10 items of 1043 documents

Multi-residue determination of 47 organic compounds in water, soil, sediment and fish—Turia River as case study

2017

A sensitive and reliable method based on solid-liquid extraction (SLE) using McIlvaine-Na2EDTA buffer (pH = 4.5)-methanol and solid-phase extraction (SPE) clean up prior to ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC–MS/MS) was applied to determine 47 organic contaminants in fish, soil and sediments. The SPE procedure to clean-up the extracts was also used as extraction method to determine these compounds in water. Recoveries ranged from 38 to 104% for all matrices with RSDs 50% for 36 compounds in front of 9, matrix effect < 20% for 31 compounds against 21, and LOQs <25 ng g−1 for 38 compounds against 22) indicates that the proposed method is mor…

Drugs of abuseGeologic SedimentsAcetonitrilesClinical BiochemistryPharmaceutical ScienceFresh WaterExtraction010501 environmental sciencesQuechersMass spectrometry01 natural sciencesHigh-performance liquid chromatographyAnalytical ChemistrySoilPhenolsRiversLC–MS/MSLimit of DetectionTandem Mass SpectrometryPlasticizersDrug DiscoveryAnimalsBenzhydryl CompoundsWater pollutionChromatography High Pressure LiquidSpectroscopy0105 earth and related environmental sciencesChromatographyChemistrySolid Phase Extraction010401 analytical chemistryExtraction (chemistry)FishesWaterSoil classificationSoil contamination0104 chemical sciencesPersonal care productsEnvironmental chemistryPharmaceuticalsWater qualityWater Pollutants Chemical
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Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope

2021

Transiting exoplanets orbiting active stars frequently occult starspots and faculae on the visible stellar disc. Such occultations are often rejected from spectrophotometric transits, as it is assumed they do not contain relevant information for the study of exoplanet atmopsheres. However, they can provide useful constraints to retrieve the temperature of active features and their effect on transmission spectra. We analyse the capabilities of the James Webb Space Telescope in the determination of the spectra of occulted starspots, despite its lack of optical wavelength instruments on board. Focusing on K and M spectral types, we simulate starspots with different temperatures and in differen…

Earth and Planetary Astrophysics (astro-ph.EP)PhysicsJames Webb Space TelescopeStarspotAstrophysics::Instrumentation and Methods for AstrophysicsFOS: Physical sciencesAstronomyAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsStellar classificationExoplanetStarsWavelengthAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary SciencePlanetAstrophysics::Solar and Stellar AstrophysicsPrismAstrophysics::Earth and Planetary AstrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsAstrophysics - Earth and Planetary Astrophysics
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Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2021

Vegetation Types (VTs) are important managerial units, and their identification serves as essential tools for the conservation of land covers. Despite a long history of Earth observation applications to assess and monitor land covers, the quantitative detection of sparse VTs remains problematic, especially in arid and semiarid areas. This research aimed to identify appropriate multi-temporal datasets to improve the accuracy of VTs classification in a heterogeneous landscape in Central Zagros, Iran. To do so, first the Normalized Difference Vegetation Index (NDVI) temporal profile of each VT was identified in the study area for the period of 2018, 2019, and 2020. This data revealed strong se…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceNDVIScienceQvegetation types classification04 agricultural and veterinary sciences15. Life on landTime optimal01 natural sciencesNormalized Difference Vegetation IndexRandom forestIdentification (information)Vegetation typesmachine learning040103 agronomy & agriculturevegetation types classification; multi-temporal images; machine learning; Google Earth Engine; NDVI0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesGoogle Earth EngineCartographymulti-temporal images0105 earth and related environmental sciencesRemote Sensing
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

2017

Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be available: more sophisticated hyperspectral sensors with high spectral resolution, multispectral sensors with sub-metric spatial detail or drones that can be deployed in very short time lapses. Besides such opportunities, these new and wealthy infor…

Earth observationGeospatial analysis010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceMultispectral image0211 other engineering and technologiesHyperspectral imaging02 engineering and technologycomputer.software_genreMachine learningPE&RC01 natural sciencesSupport vector machineKernel methodKernel (image processing)Laboratory of Geo-information Science and Remote SensingLife ScienceLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciences
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Towards a functional classification of the freshwater phytoplankton

2002

This paper considers the structure of freshwater phytoplankton assemblages and promotes a scheme of ‘vegetation recognition’, based upon the functional associations of species represented in the plankton. These groups are often polyphyletic, recognizing commonly shared adaptive features, rather than common phylogeny, to be the key ecological driver. Thirty-one such associations are outlined and the basic pattern of their distinctive ecologies is outlined. An invitation to other plankton scientists to assist in the development of this scheme is issued.

EcologyEcologyPolyphylyfungiPhytoplanktonSettore BIO/03 - Botanica Ambientale E ApplicataAquatic SciencePlanktonBiologyPhytoplankton Functional Groups Biological ClassificationEcology Evolution Behavior and Systematics
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Decomposer animals and bioremediation of soils

1998

Abstract Although microorganisms are degrading the contaminants in bioremediation processes, soil animals can also have important — while usually an indirect — role in these processes. Soil animals are useful indicators of soil contamination, both before and after the bioremediation. Many toxicity and bioavailability assessment methods utilizing soil animals have been developed for hazard and risk-assessment procedures. Not only the survival of the animals, but also more sensitive parameters like growth, reproduction and community structure have often been taken into account in the assessment. The use of bioassays together with chemical analyses gives the most reliable results for risk anal…

EcologyHealth Toxicology and MutagenesisSoil biologySoil classificationGeneral MedicineMineralization (soil science)ToxicologyPollutionSoil contaminationDecomposerBioremediationEnvironmental chemistrySoil waterEnvironmental scienceEcosystemEnvironmental Pollution
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Xeric grasslands of the inner-alpine dry valleys of Austria - new insights into syntaxonomy, diversity and ecology

2021

We are grateful to the IAVS for financial support for some of the participants. We would like to give special thanks to Dr. Ernst Partl, director of the Naturpark Kaunergrat for authorizing sampling in the protected areas and for helping with the organization of the field workshop.

EcologyVegetation classificationmedia_common.quotation_subjectEcology (disciplines)resurveyStipo-Festucetalia pallentisBiodiversityFestucetalia valesiacaesemi-natural grasslandBrachypodietalia pinnatiDeserts and xeric shrublandsAustria biodiversity Brachypodietalia pinnati Festucetalia valesiacae Festuco-Brometea inner-alpine dry valley semi-natural grassland soil parameter resurvey Stipo-Festucetalia pallentis syntaxonomy vegetation classificationEnvironmental sciencesGeographyAustriaFestuco-Brometeasoil parameterGE1-350syntaxonomy577: Ökologieinner-alpine dry valleyvegetation classificationDiversity (politics)media_commonbiodiversity
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Dealing with preference uncertainty in contingent willingness to pay for a nature protection program: A new approach

2013

In this paper, we propose an alternative preference uncertainty measurement approach where respondents have the option to indicate their willingness to pay (WTP) for a nature protection program either as exact values or intervals from a payment card, depending on whether they are uncertain about their valuation. On the basis of their responses, we then estimate their degree of uncertainty. New within this study is that the respondent's degree of uncertainty is "revealed", while it is "stated" in those using existing measurement methods. Three statistical models are used to explore the sources of respondent uncertainty. We also present a simple way of calculating the uncertainty adjusted mea…

Economics and Econometrics010501 environmental sciences01 natural sciencesUncertainty calibrationWillingness to pay0502 economics and businessEconomicsEconometricsWillingness to payContingent valuationPreference uncertaintyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesGeneral Environmental ScienceValuation (finance)Contingent valuation05 social sciencesStatistical modelPayment cardJEL Classification Q20; Q26[SHS.ECO]Humanities and Social Sciences/Economics and FinancePayment cardRespondent[SDE]Environmental SciencesMeasurement uncertaintyA priori and a posteriori050202 agricultural economics & policyNature protection
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Do firms share the same functional form of their growth rate distribution? A statistical test

2014

We introduce a new statistical test of the hypothesis that a balanced panel of firms have the same growth rate distribution or, more generally, that they share the same functional form of growth rate distribution. We applied the test to European Union and US publicly quoted manufacturing firms data, considering functional forms belonging to the Subbotin family of distributions. While our hypotheses are rejected for the vast majority of sets at the sector level, we cannot rejected them at the subsector level, indicating that homogenous panels of firms could be described by a common functional form of growth rate distribution.

Economics and EconometricsControl and OptimizationFOS: Physical sciencesDistribution (economics)Heterogeneous firmEDF testsFOS: Economics and businessMicroeconomicsGrowth rate distribution of individual firmEconomicsmedia_common.cataloged_instanceEuropean unionScalingmedia_commonStatistical hypothesis testingSettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieStatistical Finance (q-fin.ST)EDF testbusiness.industryApplied MathematicsSettore FIS/01 - Fisica SperimentaleQuantitative Finance - Statistical FinanceProbability and statisticsVariance (accounting)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)North American Industry Classification SystemHeterogeneous firmsPhysics - Data Analysis Statistics and ProbabilityNull hypothesisbusinessData Analysis Statistics and Probability (physics.data-an)
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Sovereign Credit Ratings and Financial Markets Linkages: Application to European Data

2012

We use EU sovereign bond yield and CDS spreads daily data to carry out an event study analysis on the reaction of government yield spreads before and after announcements from rating agencies (Standard & Poor’s, Moody’s, Fitch). Our results show significant responses of government bond yield spreads to changes in rating notations and outlook, particularly in the case of negative announcements. Announcements are not anticipated at 1–2 months horizon but there is bi-directional causality between ratings and spreads within 1–2 weeks; spillover effects especially among EMU countries and from lower rated countries to higher rated countries; and persistence effects for recently downgraded countrie…

Economics and EconometricsCredit rating spreadsYield (finance)Financial marketEvent studyemsSettore SECS-P/02 Politica EconomicaMonetary economicscredit ratings; sovereign yields; rating agencies. Classification-C23; E44; G15.Credit ratingSpillover effectSovereign YieldsCarry (investment)credit ratings rating agencies sovereign yieldsEconomicsGovernment bondSovereign creditCredit Ratingsrating sovereing spreadsRating AgenciesFinanceSSRN Electronic Journal
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