Search results for "17"

showing 10 items of 14048 documents

Environmental and biological factors are joint drivers of mercury biomagnification in subarctic lake food webs along a climate and productivity gradi…

2021

Subarctic lakes are getting warmer and more productive due to the joint effects of climate change and intensive land-use practices (e.g. forest clear-cutting and peatland ditching), processes that potentially increase leaching of peat- and soil-stored mercury into lake ecosystems. We sampled biotic communities from primary producers (algae) to top consumers (piscivorous fish), in 19 subarctic lakes situated on a latitudinal (69.0-66.5 degrees N), climatic (+3.2 degrees C temperature and +30% precipitation from north to south) and catchment land-use (pristine to intensive forestry areas) gradient. We first tested how the joint effects of climate and productivity influence mercury biomagnific…

010504 meteorology & atmospheric sciencesBiomagnificationTROPHIC POSITIONmaankäyttö010501 environmental sciencesMETHYLMERCURY01 natural sciencesFood chainBiological FactorsONTARIO LAKESCHAIN STRUCTUREClimate changeympäristömyrkytWaste Management and DisposalLand-useApex predatorTrophic levelkalatStable isotopes2. Zero hungerFRESH-WATEREcologyFishesvesiekosysteemitBIOACCUMULATIONselkärangattomatPollutionSubarctic climateclimate changeProductivity (ecology)Environmental MonitoringFood chain lengthEnvironmental EngineeringFood Chainelohopeachemistry.chemical_elementstable isotopeskasautuminenWHITEFISHland-useEnvironmental ChemistryAnimalsravintoketjutEcosystem1172 Environmental sciences0105 earth and related environmental sciencesfishfood chain lengthLake ecosystemMercury15. Life on landilmastonmuutoksetCHARR SALVELINUS-ALPINUSinvertebratesInvertebratesMercury (element)LakesFishchemistryisotooppianalyysi13. Climate actionEnvironmental scienceMARINEWater Pollutants Chemical
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Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

2013

Imaging using lightweight, unmanned airborne vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology. The new, tunable, Fabry-Perot interferometer-based (FPI) spectral camera, which weighs less than 700 g, makes it possible to collect spectrometric image blocks with stereoscopic overlaps using light-weight UAV platforms. This new technology is highly relevant, because it opens up new possibilities for measuring and monitoring the environment, which is becoming increasingly important for many environmental challenges. Our objectives were to investigate the processing and use of this new type of image data in precision agriculture. We developed the entire pro…

010504 meteorology & atmospheric sciencesComputer scienceScienceta11710211 other engineering and technologiesPoint cloudStereoscopyradiometry02 engineering and technologyphotogrammetry01 natural scienceslaw.inventionspectrometryradiometriamaatalouslawbiomassa (teollisuus)photogrammetry; radiometry; spectrometry; hyperspectral; UAV; DSM; point cloud; biomass; agriculturefotogrammetriaagriculture021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingta1132. Zero hungerbiomassuavQHyperspectral imagingta4111photogrammetriaReflectivityhyperspektridsmInterferometryspektrometriahyperspectralPhotogrammetry13. Climate actionRemote sensing (archaeology)GeoreferenceGeneral Earth and Planetary SciencesRadiometrypistepilviPrecision agriculturepoint cloudRemote Sensing
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Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

2017

Made available in DSpace on 2018-12-11T17:11:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-03-01 Suomen Akatemia Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This study investigated the performance of UAV-based photogrammetry and hyperspectral imaging in individual tree detection and tree species classification in boreal forests. Eleven test sites with 4151 reference trees repr…

010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesPoint cloudta117102 engineering and technologyradiometryphotogrammetry01 natural sciencesforestComputer visionForestRadiometrylcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113UAV; hyperspectral; photogrammetry; radiometry; point cloud; forest; classificationluokitus (toiminta)ta114business.industryHyperspectral imaging15. Life on landOtaNanoClassificationRandom forestPoint cloudTree (data structure)PhotogrammetryhyperspectralHyperspectralclassification13. Climate actionMultilayer perceptronPhotogrammetryGeneral Earth and Planetary SciencesRadiometryRGB color modellcsh:QArtificial intelligencebusinesspoint cloudRemote Sensing; Volume 9; Issue 3; Pages: 185
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Land Use Affects Carbon Sources to the Pelagic Food Web in a Small Boreal Lake

2016

Small humic forest lakes often have high contributions of methane-derived carbon in their food webs but little is known about the temporal stability of this carbon pathway and how it responds to environmental changes on longer time scales. We reconstructed past variations in the contribution of methanogenic carbon in the pelagic food web of a small boreal lake in Finland by analyzing the stable carbon isotopic composition (δ13C values) of chitinous fossils of planktivorous invertebrates in sediments from the lake. The δ13C values of zooplankton remains show several marked shifts (approx. 10 ‰), consistent with changes in the proportional contribution of carbon from methane-oxidizing bacteri…

010504 meteorology & atmospheric sciencesDrainage basinMarine and Aquatic SciencesSocial Scienceslcsh:MedicinePlant SciencemaankäyttöForests580 Plants (Botany)01 natural sciences540 Chemistrylcsh:ScienceFinlandSedimentary GeologyMultidisciplinarygeography.geographical_feature_categoryGeographyEcologyδ13CEcologyPlant AnatomyGeologyAgricultureGeneral MedicinePlantsPlanktonTerrestrial EnvironmentsFood webpelagic food webPollenGeneral Agricultural and Biological SciencesResearch ArticleFreshwater Environments010506 paleontologyFood ChainAlgaeta1172chemistry.chemical_elementcarbon sourcesHuman GeographyZooplanktonZooplanktonEcosystemsGeneral Biochemistry Genetics and Molecular BiologyCarbon cycleAnimalsHumansPetrology0105 earth and related environmental sciencesgeographyEcology and Environmental Scienceslcsh:ROrganismsAquatic EnvironmentsBiology and Life Sciencesland usePelagic zoneBodies of Water15. Life on landInvertebratesCarbonLakesDaphniachemistryBoreal13. Climate actionPhytoplanktonEarth Sciences570 Life sciences; biologyta1181Sedimentlcsh:Qsmall boreal lakesCarbonPLoS ONE
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THEMIS: A Parameter Estimation Framework for the Event Horizon Telescope

2020

This is an open access article.-- Full list of authors: Broderick, Avery E.; Gold, Roman; Karami, Mansour; Preciado-López, Jorge A.; Tiede, Paul; Pu, Hung-Yi; Akiyama, Kazunori; Alberdi, Antxon; Alef, Walter; Asada, Keiichi; Azulay, Rebecca; Baczko, Anne-Kathrin; Baloković, Mislav; Barrett, John; Bintley, Dan; Blackburn, Lindy; Boland, Wilfred; Bouman, Katherine L.; Bower, Geoffrey C.; Bremer, Michael; Brinkerink, Christiaan D.; Brissenden, Roger; Britzen, Silke; Broguiere, Dominique; Bronzwaer, Thomas; Byun, Do-Young; Carlstrom, John E.; Chael, Andrew; Chatterjee, Shami; Chatterjee, Koushik; Chen, Ming-Tang; Chen, Yongjun; Cho, Ilje; Conway, John E.; Cordes, James M.; Crew, Geoffrey B.; Cu…

010504 meteorology & atmospheric sciencesExploitAstronomy01 natural sciencesData typeSet (abstract data type)Galactic center0103 physical sciencesVery-long-baseline interferometry16471769010303 astronomy & astrophysics0105 earth and related environmental sciencesVery long baseline interferometryPhysicsEvent Horizon TelescopeSupermassive black holeAstrophysical black holesGalactic CenterAstronomy and Astrophysics98565Black hole[SDU]Sciences of the Universe [physics]Space and Planetary ScienceAstronomy data analysis1858[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]AlgorithmSubmillimeter astronomy
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Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis

2015

In this paper we present an approach to perform relative spectral alignment between optical cross-sensor acquisitions. The proposed method aims at projecting the images from two different and possibly disjoint input spaces into a common latent space, in which standard change detection algorithms can be applied. The system relies on the regularized kernel canonical correlation analysis transformation (kCCA), which can accommodate nonlinear dependencies between pixels by means of kernel functions. To learn the projections, the method employs a subset of samples belonging to the unchanged areas or to uninteresting radiometric differences. Since the availability of ground truth information to p…

010504 meteorology & atmospheric sciencesFeature extraction0211 other engineering and technologiesRelative spectral alignment02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesCross-sensorCanonical correlation analysis1706 Computer Science Applications910 Geography & travelComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsGround truthbusiness.industry1903 Computers in Earth SciencesKernel methodsPattern recognitionReal imageAtomic and Molecular Physics and OpticsComputer Science Applications10122 Institute of GeographyTransformation (function)Kernel methodChange detectionFeature extraction2201 Engineering (miscellaneous)Artificial intelligencebusinessCanonical correlationChange detectionCurse of dimensionalityISPRS Journal of Photogrammetry and Remote Sensing
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Bioconcentration, biotransformation and elimination of pyrene in the arctic crustacean Gammarus setosus (Amphipoda) at two temperatures

2015

The influence of temperature on the bioaccumulation, toxicokinetics, biotransformation and depuration of pyrene was studied in the arctic marine amphipod Gammarus setosus. A two-compartment model was used to fit experimental values of total body burden, total metabolites and parent pyrene concentrations and to calculate toxicokinetic variables derived for two experimental treatments (2 and 8 °C). No statistically significant differences were observed with temperature for these toxicokinetic variables or bioconcentration factors. Contrarily, the Q10 values suggested that the toxicokinetic variables ke and km were temperature-dependent. This may be explained by the high standard deviation of …

010504 meteorology & atmospheric sciencesMetaboliteta1172polycyclic aromatic hydrocarbonsQ10Bioconcentration010501 environmental sciencesAquatic ScienceOceanography01 natural sciencesGammarus setosusSvalbardchemistry.chemical_compoundBiotransformationtoxicokineticsAnimalsToxicokineticsAmphipoda14. Life underwaterBiotransformation0105 earth and related environmental sciencesPyrenesbiologyArctic RegionsChemistryTemperatureGeneral Medicinebiology.organism_classificationPollutiondepurationarctic invertebratesKinetics13. Climate actionuptakeBioaccumulationEnvironmental chemistryPyreneWater Pollutants ChemicalEnvironmental MonitoringMarine Environmental Research
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Abiotic and biotic controls on methane formation down to 2.5 km depth within the Precambrian Fennoscandian Shield

2017

Abstract Despite a geological history characterised by high temperature and pressure processes and organic carbon deprived crystalline bedrock, large amounts of hydrocarbons are found in deep groundwaters within Precambrian continental shields. In many sites, methane comprises more that 80% of the dissolved gas phase reaching concentrations of tens of mmol l −1 . In this study, we used isotopic methods to study the carbon isotope systematics and sources of crustal methane within the Fennoscandian Shield. The main study sites were the Outokumpu Deep Drill Hole and the Pyhasalmi mine in Finland, both of which allow groundwater sampling down to 2.5 km depth and have been previously studied for…

010504 meteorology & atmospheric sciencesMethanogenesista1171GeochemistryMineralogychemistry.chemical_element010502 geochemistry & geophysicsmetaani01 natural sciencesMethanechemistry.chemical_compoundPrecambrianPyhäsalmikalsiittiGeochemistry and PetrologyNatural gasgrafiitti0105 earth and related environmental sciencesTotal organic carbongraphitebusiness.industrymethane15. Life on landethaneOutokumpuchemistryvetycarbon isotopes13. Climate actionIsotopes of carbonhydrogenFennoscandian shieldbusinesscalciteCarbonGroundwaterGeologyGeochimica et Cosmochimica Acta
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The (de)politicisation of nuclear power: The Finnish discussion after Fukushima

2017

When the Fukushima accident occurred in March 2011, Finland was at the height of a nuclear renaissance, with the Government’s decision-in-principle in 2010 to allow construction of two new nuclear reactors. This article examines the nuclear power debate in Finland after Fukushima. We deploy the concepts of (de)politicisation and hyperpoliticisation in the analysis of articles in the country’s main newspaper. Our analysis indicates that Finnish nuclear exceptionalism manifested in the safety-related depoliticising and the nation’s prosperity-related hyperpoliticisation arguments of the pro-nuclear camp. The anti-nuclear camp used politicisation strategies, such as economic arguments, to sho…

010504 meteorology & atmospheric sciencesParliamentmedia_common.quotation_subject010501 environmental sciences01 natural sciencesnuclear power debateNewspaperArts and Humanities (miscellaneous)Political scienceDevelopmental and Educational Psychologyta517Fukushima Nuclear Accidentta518FukushimaNuclear energy policyta611Finland0105 earth and related environmental sciencesmedia_commonGovernmentbusiness.industryCommunicationPoliticsNuclear renaissanceNuclear power(de)politicisationNuclear power debateExceptionalismEconomyNuclear Power PlantsPublic Opinionta5141businessPublic Understanding of Science
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