Search results for "TIMI"

showing 10 items of 4651 documents

Quantifying and easing conflicting goals between interest groups in natural resource planning

2019

Management of natural resources at the regional level is a compromise between a variety of objectives and interests. At the local level, management of the forests depends upon the ownership structure, with forest owners using their forests as they see fit. A potential conflict occurs if the forest owners’ management decisions are counter to the interests of society in general or the industry that relies on the forest resource as their raw material. We explore the intensity of this conflict at the regional level in several large boreal forest production landscapes. To explore the conflict, we investigate three main interest groups: (i) economically oriented forest owners; (ii) industry grou…

010504 meteorology & atmospheric sciencesCompromisemedia_common.quotation_subjecttehokkuusconflict management010501 environmental sciences01 natural sciencesmultifunctionalityoptimointiboreal forestEnvironmental planningFinlandbiodiversity0105 earth and related environmental sciencesmedia_commonGlobal and Planetary ChangeEcologyforest planningforestryForestrykonfliktit15. Life on landluonnon monimuotoisuusmetsätNatural resourcebiodiversiteettiVariety (cybernetics)boreaalinen vyöhykeekosysteemipalvelutefficiencyBusinessmetsänhoitoecosystem servicesoptimizationCanadian Journal of Forest Research
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Multioutput Automatic Emulator for Radiative Transfer Models

2018

This paper introduces a methodology to construct emulators of costly radiative transfer models (RTMs). The proposed methodology is sequential and adaptive, and it is based on the notion of acquisition functions in Bayesian optimization. Here, instead of optimizing the unknown underlying RTM function, one aims to achieve accurate approximations. The Automatic Multi-Output Gaussian Process Emulator (AMO-GAPE) methodology combines the interpolation capabilities of Gaussian processes (GPs) with the accurate design of an acquisition function that favors sampling in low density regions and flatness of the interpolation function. We illustrate the promising capabilities of the method for the const…

010504 meteorology & atmospheric sciencesComputer scienceFlatness (systems theory)Bayesian optimizationSampling (statistics)02 engineering and technologyFunction (mathematics)Atmospheric model01 natural sciencessymbols.namesakeSampling (signal processing)0202 electrical engineering electronic engineering information engineeringsymbolsRadiative transfer020201 artificial intelligence & image processingGaussian process emulatorGaussian processAlgorithm0105 earth and related environmental sciencesInterpolationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

2020

Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the promising algorithms, Gaussian process regression (GPR) proved to be a competitive time series gap-filling algorithm with the advantage of, as developed within a Bayesian framework, providing associated uncertainty estimates. Nevertheless, the processing of time series images becomes computationally inefficient in its standard per-pixel usage, mainly for GPR training rather than the fitting step. To…

010504 meteorology & atmospheric sciencesMean squared errorComputer science0211 other engineering and technologiesImage processing02 engineering and technologycomputer.software_genre01 natural scienceslcsh:AgricultureKrigingTime series021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerHyperparameterPixelSeries (mathematics)lcsh:SGaussian processes regressionSatellite Image Time SeriesData miningtime seriesSentinel-2optimizationAgronomy and Crop Sciencecomputercrop monitoringphenology indicatorsAgronomy
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Determination of water speciation in hydrous haplogranitic glasses with partial Raman spectra

2020

Abstract We use a mathematical approach to decompose the Raman water band at 3000 cm−1 to 3750 cm−1 into two partial Raman spectra corresponding to the individual Raman activity of the two water species, i.e., molecular water (H2Om) and OH-groups, present in hydrous rhyolitic glasses. The approach is based on a least-squares optimization algorithm and the assumption that the water band can be expressed as a linear combination of two partial Raman spectra. Our model makes no assumptions regarding the shape of the partial Raman spectra. The model input consists of about 700 Raman spectra from hydrous haplogranitic (HPG8) compositions with total water contents from 0.6 to 3.1 wt% and with know…

010504 meteorology & atmospheric sciencesOptimization algorithmmedia_common.quotation_subjectAnalytical chemistryInfrared spectroscopyGeology010502 geochemistry & geophysics01 natural sciencesSpeciationsymbols.namesakeGeochemistry and PetrologyYield (chemistry)symbolsMaximaRaman spectroscopyGeologyEquilibrium constant0105 earth and related environmental sciencesmedia_commonChemical Geology
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Models and data analysis tools for the Solar Orbiter mission

2020

All authors: Rouillard, A. P.; Pinto, R. F.; Vourlidas, A.; De Groof, A.; Thompson, W. T.; Bemporad, A.; Dolei, S.; Indurain, M.; Buchlin, E.; Sasso, C.; Spadaro, D.; Dalmasse, K.; Hirzberger, J.; Zouganelis, I.; Strugarek, A.; Brun, A. S.; Alexandre, M.; Berghmans, D.; Raouafi, N. E.; Wiegelmann, T.; Pagano, P.; Arge, C. N.; Nieves-Chinchilla, T.; Lavarra, M.; Poirier, N.; Amari, T.; Aran, A.; Andretta, V.; Antonucci, E.; Anastasiadis, A.; Auchère, F.; Bellot Rubio, L.; Nicula, B.; Bonnin, X.; Bouchemit, M.; Budnik, E.; Caminade, S.; Cecconi, B.; Carlyle, J.; Cernuda, I.; Davila, J. M.; Etesi, L.; Espinosa Lara, F.; Fedorov, A.; Fineschi, S.; Fludra, A.; Génot, V.; Georgoulis, M. K.; Gilbe…

010504 meteorology & atmospheric sciencescorona [Sun]Solar windAstrophysics[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]7. Clean energy01 natural scienceslaw.inventionData acquisitionlawCoronal mass ejectiongeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSun: magnetic fieldsQCComputingMilieux_MISCELLANEOUSQBPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]3rd-DASenergetic particlesSolar windCORONAL MASS EJECTIONSnumerical modelingmagnetic fields [Sun]solar windPhysics::Space PhysicsSystems engineeringAstrophysics::Earth and Planetary Astrophysicsatmosphere [Sun]fundamental parameters [Sun]Sun: generalFORCE-FREE FIELDSun: fundamental parametersSolar radiusContext (language use)STREAMER STRUCTUREOrbiter0103 physical sciencesOPTIMIZATION APPROACH[SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]POLARIZATION MEASUREMENTSSun: Solar wind3-DIMENSIONAL STRUCTURE0105 earth and related environmental sciencesSpacecraftbusiness.industrySun: corona[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]solar coronaMAGNETIC-FLUX ROPESAstronomy and AstrophysicsSHOCKS DRIVEN115 Astronomy Space scienceSPECTRAL-LINESQC Physics13. Climate actionSpace and Planetary SciencebusinessHeliosphereSun: atmosphereELECTRON-DENSITY
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More is more? : Forest management allocation at different spatial scales to mitigate conflicts between ecosystem services

2017

Context: Multi-objective management can mitigate conflicts among land-use objectives. However, the effectiveness of a multi-objective solution depends on the spatial scale at which land-use is optimized. This is because the ecological variation within the planning region influences the potential for site-specific prioritization according to the different objectives. Objectives: We optimized the allocation of forest management strategies to maximize the joint production of two conflicting objectives, timber production and carbon storage, at increasing spatial scales. We examined the impacts of the extent of the planning region on the severity of the conflict, the potential for its mitigation…

0106 biological sciences010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentForest management010603 evolutionary biology01 natural scienceskestävä metsätalousEcosystem servicesmetsätalousoptimointiProduction (economics)land-sparingFinland0105 earth and related environmental sciencesNature and Landscape ConservationSustainable developmentEcologybusiness.industryScale (chemistry)Environmental resource managementPareto principle15. Life on landcarbon storagelandscape extentpuuntuotantoekosysteemipalvelutmulti-objective optimizationhiilinieluttimber productionstrateginen suunnitteluSpatial ecologyEnvironmental scienceland-sharingLandscape ecologymetsänhoitobusiness
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Managing boreal forests for the simultaneous production of collectable goods and timber revenues

2016

Timber Production is an economically important provisioning ecosystem service in forests, but is often in conflict with the provision of other ecosystem services. In multifunctional forestry, the production of timber and non-timber ecosystem services should coexist in the same landscape. To this end, we explored the capacity of a boreal landscape to simultaneously produce collectable goods − bilberry (Vaccimium myrtillus L.), cowberry (Vaccinium vitis-idaea L.) and cep (Boletus edulis Bull.) − alongside timber revenues. We also identified optimal forest management plans to achieve this. Furthermore, we analyzed trade-offs between collectable good yields and timber production, as well as bet…

0106 biological sciences010504 meteorology & atmospheric sciencestimbersienestysForest managementforest managementnontimber forest productoptimal forest managements010603 evolutionary biology01 natural sciencesmetsätalousmarjanpoimintaoptimointimushroomProduction (economics)Revenuelcsh:Forestrywildberry0105 earth and related environmental sciencesbusiness.industryAgroforestrymonikäyttöEcological ModelingTaigaTrade offsForestryta4112multifunctional forestrymetsätpuuntuotantotrade-offsekosysteemipalvelutmetsätulotCollectablemetsänkasvatusta1181lcsh:SD1-669.5Businessmetsänhoitoecosystem servicesecosystemsoptimization
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Effect of addition of Opuntia ficus-indica mucilage on the biological leavening, physical, nutritional, antioxidant and sensory aspects of bread

2019

The addition of active compounds to enhance the functional properties of foods is a quite common practice. Recently, bread became one of the target foods to incorporate functional ingredients such as those deriving from Opuntia spp. So far, only Opuntia ficus-indica cladodes in powder has been tested. The addition of fresh O. ficus-indica mucilage (in substitution to water) did not influence the biological leavening of the doughs. The resulting breads showed a biological role of the cactus mucilage, because their antioxidant activity was higher than that of control wheat bread. The sensory analysis indicated a general appreciation of the breads enriched with O. ficus-indica mucilage by the …

0106 biological sciences0301 basic medicineAntioxidantmedicine.medical_treatmentOpuntia ficusBioengineeringAntimicrobial activity01 natural sciencesApplied Microbiology and BiotechnologySensory analysisAntioxidantsCactus mucilage03 medical and health sciencesAntioxidant activityPolysaccharidesYeasts010608 biotechnologymedicineCladodesFood scienceEnriched breadLeavening agentBiological leaveningbiologyPlant Extractsdigestive oral and skin physiologyOpuntiafood and beveragesBreadbiology.organism_classification030104 developmental biologyMucilageCactusDietary antioxidantBiotechnologyJournal of Bioscience and Bioengineering
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