Search results for "Codes"

showing 10 items of 201 documents

Joint Gaussian processes for inverse modeling

2017

Solving inverse problems is central in geosciences and remote sensing. Very often a mechanistic physical model of the system exists that solves the forward problem. Inverting the implied radiative transfer model (RTM) equations numerically implies, however, challenging and computationally demanding problems. Statistical models tackle the inverse problem and predict the biophysical parameter of interest from radiance data, exploiting either in situ data or simulated data from an RTM. We introduce a novel nonlinear and nonparametric statistical inversion model which incorporates both real observations and RTM-simulated data. The proposed Joint Gaussian Process (JGP) provides a solid framework…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesNonparametric statisticsInverseInversion (meteorology)Statistical model02 engineering and technologyInverse problem01 natural sciencesData modelingNonlinear systemsymbols.namesakeAtmospheric radiative transfer codesRadiancesymbolsGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with …

2011

International audience; Neural networks trained over radiative transfer simulations constitute the basis of several operational algorithms to estimate canopy biophysical variables from satellite reflectance measurements. However, only little attention was paid to the training process which has a major impact on retrieval performances. This study focused on the several modalities of the training process within neural network estimation of LAI, FCOVER and FAPAR biophysical variables. Performances were evaluated over both actual experimental observations and model simulations. The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test dataset…

010504 meteorology & atmospheric sciencesComputer scienceGaussian0211 other engineering and technologiesSoil ScienceCANOPY BIOPHYSICAL CHARACTERISTICS02 engineering and technologyNEURAL NETWORK01 natural sciencesTransfer functionsymbols.namesakeAtmospheric radiative transfer codesRadiative transferRange (statistics)Sensitivity (control systems)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingArtificial neural networkGeologySigmoid functionRELATION SOL-PLANTE-ATMOSPHEREMODEL INVERSION[SDE]Environmental SciencessymbolsINDICE FOLIAIRE
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Gaussian Processes Retrieval of LAI from Sentinel-2 Top-of-Atmosphere Radiance Data

2020

Abstract Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithms directly from top-of-atmosphere (TOA) radiance data. One of the key vegetation variables that can be retrieved from at-sensor TOA radiance data is leaf area index (LAI) if algorithms account for variability in atmosphere. We demonstrate the feasibility of LAI retrieval from Sentinel-2 (S2) TOA radiance data (L1C product) in a hybrid machine learning framework. To achieve this, the coupled leaf-canopy-atmosphere radiative transfer models PROSAIL-6SV were used to simulate a look-up table (LUT) of TOA radi…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesAtmospheric correctionFOS: Physical sciences02 engineering and technology15. Life on land01 natural sciencesAtomic and Molecular Physics and OpticsArticleComputer Science ApplicationsPhysics - Atmospheric and Oceanic PhysicsAtmospheric radiative transfer codesKrigingAtmospheric and Oceanic Physics (physics.ao-ph)RadianceSatelliteComputers in Earth SciencesLeaf area indexScale (map)Engineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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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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Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index

2017

This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A data on rice cultivated area identified using time series of Sentinel-1A images over the main European rice districts for the 2016 crop season. This study combines the information conveyed by Sentinel-1A and Sentinel-2A into a high-resolution LAI retrieval chain. Rice crop was detected using an operational multi-temporal rule-based algorithm, and LAI estimates were obtained by inverting the PROSAIL radiative transfer model with Gaussian process regression. Direct validation was performed with in situ LAI measurements acquired in coordinated field campaigns in three countries (Italy, Spain and Greece). Res…

010504 meteorology & atmospheric sciencesMean squared errorScienceleaf area index (LAI)0211 other engineering and technologies02 engineering and technology01 natural sciencesCropAtmospheric radiative transfer codesConsistency (statistics)KrigingSpatial consistencyArròs Malalties i plaguesSentinel-1ALeaf area indexmappingSentinel021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerLeaf Area IndexSentinel-2AQCiències de la terrarice mapGeneral Earth and Planetary SciencesEnvironmental sciencerice map; leaf area index (LAI); Sentinel-1A; Sentinel-2A; Gaussian process regressionRice cropGaussian process regressionRemote Sensing
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Primary production calculations for sea ice from bio-optical observations in the Baltic Sea

2016

Abstract Bio-optics is a powerful approach for estimating photosynthesis rates, but has seldom been applied to sea ice, where measuring photosynthesis is a challenge. We measured absorption coefficients of chromophoric dissolved organic matter (CDOM), algae, and non-algal particles along with solar radiation, albedo and transmittance at four sea-ice stations in the Gulf of Finland, Baltic Sea. This unique compilation of optical and biological data for Baltic Sea ice was used to build a radiative transfer model describing the light field and the light absorption by algae in 1-cm increments. The maximum quantum yields and photoadaptation of photosynthesis were determined from 14C-incorporatio…

0106 biological sciencesAtmospheric ScienceEnvironmental Engineering010504 meteorology & atmospheric scienceseducationOceanographySolar irradianceAtmospheric sciences01 natural sciencesAtmospheric radiative transfer codesprimary production calculationsbiogeochemistrySea ice14. Life underwaterAbsorption (electromagnetic radiation)1172 Environmental scienceslcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350geographygeography.geographical_feature_categoryEcologyChemistry010604 marine biology & hydrobiologySea IceGeologyAlbedoGeotechnical Engineering and Engineering GeologyColored dissolved organic matterFast ice13. Climate actionClimatologySea ice thickness
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A molecular-based identification resource for the arthropods of Finland

2022

Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the…

0106 biological sciencesResource (biology)DNA barcodesspecies identificationBiodiversityreference libraryarthropodsBiologyBarcodeProbabilistic taxonomic assignment010603 evolutionary biology01 natural scienceslaw.inventionCoiCOI03 medical and health sciencessymbols.namesakeProtaxlawprobabilistic taxonomic assignmentniveljalkaisetGeneticsAnimalsDNA Barcoding TaxonomicSpecies identificationArthropodsSpecies identificationFinlandEcology Evolution Behavior and SystematicsGene Library030304 developmental biology0303 health sciencesDNA-analyysiPROTAXsystematiikka (biologia)Linnaean taxonomyReference libraryBiodiversityGeographyEvolutionary biologyDna barcodes1181 Ecology evolutionary biologysymbolsidentificationlajinmääritysIdentification (biology)Biotechnology
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A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

2020

Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage…

0209 industrial biotechnologyQR codesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologyBiochemistryArticlecomputer visionAnalytical ChemistryDomain (software engineering)fiducial markers020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringComputer visionlcsh:TP1-11853D reconstructionElectrical and Electronic EngineeringInstrumentationOrientation (computer vision)business.industry3D reconstructionAtomic and Molecular Physics and Opticsindoor localizationVideo trackingRobot020201 artificial intelligence & image processingAugmented realityArtificial intelligencebusinessSensors
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Gray code for derangements

2004

AbstractWe give a Gray code and constant average time generating algorithm for derangements, i.e., permutations with no fixed points. In our Gray code, each derangement is transformed into its successor either via one or two transpositions or a rotation of three elements. We generalize these results to permutations with number of fixed points bounded between two constants.

021103 operations researchMathematics::CombinatoricsRestricted permutationsApplied Mathematics0211 other engineering and technologiesGenerating algorithms0102 computer and information sciences02 engineering and technologyFixed pointGray codes01 natural sciencesCombinatoricsGray codePermutationDerangement010201 computation theory & mathematicsBounded function[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Discrete Mathematics and CombinatoricsConstant (mathematics)Rotation (mathematics)Rencontres numbersComputingMilieux_MISCELLANEOUSMathematicsDiscrete Applied Mathematics
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Fungal Planet description sheets: 785– 867

2018

Novel species of fungi described in this study include those from various countries as follows: Angola, Gnomoniopsis angolensis and Pseudopithomyces angolensis on unknown host plants. Australia, Dothiora corymbiae on Corymbia citriodora, Neoeucasphaeria eucalypti (incl. Neoeucasphaeria gen. nov.)on Eucalyptus sp., Fumagopsis stellae on Eucalyptus sp., Fusculina eucalyptorum (incl. Fusculinaceae fam. nov.) on Eucalyptus socialis, Harknessia corymbiicola on Corymbia maculata, Neocelosporium eucalypti (incl. Neocelosporium gen. nov., Neocelosporiaceae fam. nov. and Neocelosporiales ord. nov.) on Eucalyptus cyanophylla, Neophaeomoniella corymbiae on Corymbia citriodora, Neophaeomoniella eucalyp…

0301 basic medicineITS nrDNA barcodesfood.ingredientEvolutionCorymbia citriodora:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]Cape verde03 medical and health sciencesfoodBehavior and SystematicsNew taxaSystematicsBotanyITS nrDNA barcodeEcology Evolution Behavior and SystematicsLSUbiologyEcologyEucalyptus brassianaSettore BIO/02 - Botanica Sistematica030108 mycology & parasitologybiology.organism_classificationEucalyptusEucalyptus pilularisEucalyptus camaldulensisEucalyptus gracilisCorymbia maculata
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