Search results for "imagery"

showing 10 items of 204 documents

Protocol for developing a mental imagery intervention: a randomised controlled trial testing a novel implementation imagery e-health intervention to …

2019

IntroductionDrowning due to driving into floodwater accounts for a significant proportion of all deaths by drowning. Despite awareness campaigns such as ‘If it’s flooded, forget it’, people continue to drive into floodwater. This causes loss of life, risk to rescuers and damage to vehicles. The aim of this study was to develop and evaluate an online e-health intervention to promote safe driving behaviour during flood events.Methods and analysisThe study will use a 2×3 randomised controlled trial in which participants are randomised into one of two conditions: (1) education about the risks of driving into floodwater or (2) education about the risks of driving into floodwater plus a theory-ba…

Automobile DrivingImagery Psychotherapysocial-cognitive theoriesflooded waterwaysIntentionHealth interventionlaw.invention03 medical and health sciences0302 clinical medicineRisk-TakingRandomized controlled triallawInformed consentIntervention (counseling)drivingProtocolMedicineHumans1724030212 general & internal medicine1506Randomized Controlled Trials as TopicProtocol (science)water safetymental imagerybusiness.industrydrowning1359General Medicinemedicine.diseaseFloodsTelemedicineMedical emergencyHuman researchPublic Healthbusiness030217 neurology & neurosurgerySocial cognitive theoryMental imageBMJ open
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Protocol for developing a mental imagery intervention: a randomised controlled trial testing a novel implementation imagery e-health intervention to …

2019

IntroductionDrowning due to driving into floodwater accounts for a significant proportion of all deaths by drowning. Despite awareness campaigns such as 'If it's flooded, forget it', people continue to drive into floodwater. This causes loss of life, risk to rescuers and damage to vehicles. The aim of this study was to develop and evaluate an online e-health intervention to promote safe driving behaviour during flood events.Methods and analysisThe study will use a 2×3 randomised controlled trial in which participants are randomised into one of two conditions: (1) education about the risks of driving into floodwater or (2) education about the risks of driving into floodwater plus a theory-ba…

Automobile Drivingsocial-cognitive theoriesflooded waterwaysClinical Sciencesdriver behaviourIntentionriskikäyttäytyminenRisk-TakingmielikuvaharjoitteludrivingHumansImageryliikenneturvallisuusteleterveydenhuoltoturvallisuuskasvatusRandomized Controlled Trials as Topicmental imagerywater safetyOther Medical and Health Sciencesdrowningrandomised controlled trial testingliikennekäyttäytyminentulvatTelemedicineFloodsPsychotherapyPublic Health and Health Servicesmental imagery interventione-health intervention
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Landsat TM/ETM+ and tree-ring based assessment of spatiotemporal patterns of the autumnal moth (Epirrita autumnata) in northernmost Fennoscandia

2010

Abstract We used fine-spatial resolution remotely sensed data combined with tree-ring parameters in order to assess and reconstruct disturbances in mountain birch ( Betula pubescens ) forests caused by Epirrita autumnata (autumnal moth). Research was conducted in the area of Lake Tornetrask in northern Sweden where we utilized five proxy parameters to detect insect outbreak events over the 19th and 20th centuries. Digital change detection was applied on three pairs of multi-temporal NDVI images from Landsat TM/ETM+ to detect significant reductions in the photosynthetic activity of forested areas during disturbed growing seasons. An image segmentation gap-fill procedure was developed in orde…

Autumnal mothbiologySoil ScienceGeologyBetula pubescensbiology.organism_classificationNormalized Difference Vegetation IndexThematic MapperEpirritaDendrochronologyEnvironmental scienceSatellite imageryComputers in Earth SciencesDigital elevation modelRemote sensingRemote Sensing of Environment
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Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
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Mutual information-based feature selection for low-cost BCIs based on motor imagery

2016

In the present study a feature selection algorithm based on mutual information (MI) was applied to electro-encephalographic (EEG) data acquired during three different motor imagery tasks from two dataset: Dataset I from BCI Competition IV including full scalp recordings from four subjects, and new data recorded from three subjects using the popular low-cost Emotiv EPOC EEG headset. The aim was to evaluate optimal channels and band-power (BP) features for motor imagery tasks discrimination, in order to assess the feasibility of a portable low-cost motor imagery based Brain-Computer Interface (BCI) system. The minimal sub set of features most relevant to task description and less redundant to…

Brain-Computer InterfaceSupport Vector MachineDatabases FactualComputer scienceHeadsetSpeech recognitionFeature extractionBiomedical EngineeringReproducibility of ResultHealth InformaticsFeature selection02 engineering and technologyElectroencephalography03 medical and health sciences0302 clinical medicineMotor imagery0202 electrical engineering electronic engineering information engineeringmedicineHumans1707medicine.diagnostic_testbusiness.industryReproducibility of ResultsElectroencephalographyPattern recognitionMutual informationModels TheoreticalAlgorithmSupport vector machineBrain-Computer InterfacesSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEidetic Imagery020201 artificial intelligence & image processingArtificial intelligencebusinessAlgorithms030217 neurology & neurosurgeryHuman2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Evaluation of the DART 3D model in the thermal domain using satellite/airborne imagery and ground-based measurements

2011

This work provides an evaluation of the discrete anisotropy radiative transfer (DART) three-dimensional (3D) model in assessing the simulation of directional brightness temperatures (Tb) at both sensor and surface levels. Satellite imagery acquired with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), airborne imagery acquired with the Airborne Hyperspectral Scanner (AHS) sensor and ground-based measurements collected over an agricultural area were used to evaluate the DART model at nadir views. Directional radiometric temperatures measured with a goniometric system at ground level were also used to evaluate modelling results at different view angles. The DART mod…

BrightnessDart010504 meteorology & atmospheric sciencesMeteorology[SDE.IE]Environmental Sciences/Environmental Engineering0211 other engineering and technologiesAtmospheric correctionHyperspectral imaging02 engineering and technology01 natural sciencesAdvanced Spaceborne Thermal Emission and Reflection Radiometer[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEmissivityRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceSatellite imagerycomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingcomputer.programming_languageInternational Journal of Remote Sensing
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Hyperspectral UAV-Imagery and photogrammetric canopy height model in estimating forest stand variables

2017

Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics. 3D remote sensing data from airborne laser scanning or digital stereo photogrammetry enable highly accurate estimation of forest variables related to the volume of growing stock and dimension of the trees, whereas recognition of tree species dominance and proportion of different tree species has been a major complication in remote sensing-based estimation of stand variables. In this study the use of UAV-borne hyperspectral imagery was examined in combination with a high-resolution photogrammetric canopy height model in estimating forest v…

Canopy010504 meteorology & atmospheric sciencesCalibration (statistics)hyperspectral imagingvariablesta1172ta11710211 other engineering and technologies02 engineering and technologyUAVsphotogrammetry01 natural sciencesDigital photogrammetryaerial imagerylcsh:Forestryforest inventoryRadiometric calibrationstereo-photogrammetric canopy modelling021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingfotogrammetriata113forestsForest inventoryEcological ModelingHyperspectral imagingmuuttujatForestryradiometric calibrationOtaNanota4112metsätAerial imagerydigital photogrammetryPhotogrammetryEnvironmental sciencelcsh:SD1-669.5Silva Fennica
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Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables

2015

In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne aerial imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft in forest remote sensing applications in small areas, but they lack range and endurance in larger areas. On the other hand, advances in the processing of digital stereo photography make it possible to produce three-dimensional (3D) forest canopy data on the basis of images acquired using simple lightweight digital camera sensors. In this study, an aerial image orthomosaic and 3D photogrammetric canopy height data were derived from the images acquired …

CanopyAerial surveyUAVta1172ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONta1171ComputerApplications_COMPUTERSINOTHERSYSTEMSphotogrammetric surface modelBasal areaAerial photographyaerial imagerylcsh:Forestryforest inventorycanopy height modelRemote sensingta113Forest inventoryEcological ModelingForestryta4112unmanned aerial systemAerial imageryPhotogrammetrylcsh:SD1-669.5Environmental scienceWoody plantSilva fennica
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Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices

2019

Supplementary data to this article can be found online at https://doi.org/10.1016/j.rse.2019.111303. Monitoring vegetation carbon in tropical regions is essential to the global carbon assessment and to evaluate the actions oriented to the reduction of forest degradation. Mainly, satellite optical vegetation indices and LiDAR data have been used to this purpose. These two techniques are limited by cloud cover and are sensitive only to the top of vegetation. In addition, the vegetation attenuation to the soil microwave emission, represented by the vegetation optical depth (VOD), has been applied for biomass estimation using frequencies ranging from 4 to 30¿GHz (C- to K-bands). Atmosphere is t…

CanopyL bandTropical forestsL-band010504 meteorology & atmospheric sciencesCarbon densityCloud cover0208 environmental biotechnologySoil ScienceClimate change02 engineering and technologyCarbon sequestrationAtmospheric sciences01 natural sciencesClimate changeSatellite imageryVegetation optical depthComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingTropicsGeology:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]020801 environmental engineeringSistemes de comunicació de microonesLidarEnvironmental scienceMicrowave communication systemsSoil moistureSistemes de gestió mediambientalSòls -- Humitat
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Prototyping of Land-SAF leaf area index algorithm with VEGETATION and MODIS data over Europe

2009

Abstract The Satellite Application Facility on Land Surface Analysis (Land-SAF) aims to provide land surface variables for the meteorological and environmental science communities from EUMETSAT satellites. This study assesses the performance of a simplified (i.e. random distribution of vegetation is assumed) version of the Land-SAF algorithm for the estimation of Leaf Area Index (LAI) when prototyped with VEGETATION (processed in CYCLOPES program) and MODIS reflectances. The prototype estimates of LAI are evaluated both by comparison with validated CYCLOPES and MODIS LAI products derived from the same sensors and directly through comparison with ground-based estimates. Emphasis is given on …

CanopyMean squared errorBiomeSoil ScienceGeologyVegetationEnvironmental scienceSpatial variabilitySatelliteSatellite imageryComputers in Earth SciencesLeaf area indexAlgorithmRemote sensingRemote Sensing of Environment
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