Search results for "Temporal resolution"

showing 10 items of 110 documents

Testing the effects of temporal data resolution on predictions of the effects of climate change on bivalves

2014

a b s t r a c t The spatial-temporal scales on which environmental observations are made can significantly affect our perceptions of ecological patterns in nature. Understanding potential mismatches between environmen- tal data used as inputs to predictive models, and the forecasts of ecological responses that these models generate are particularly difficult when predicting responses to climate change since the assumption of model stationarity in time cannot be tested. In the last four decades, increases in computational capacity (by a factor of a million), and the evolution of new modeling tools, have permitted a corresponding increase in model complexity, in the length of the simulations,…

Environmental changeEcologyEcological ModelingDynamic energy budgetClimate changeMarine intertidal zoneMytilus galloprovincialiDarwinian fitneMediterraneanAtmospheric sciencesEnvironmental dataTemporal databaseDarwinian fitnessDynamic Energy Budget modelsDarwinian fitness;Mediterranean;Marine intertidal zone;Dynamic Energy Budget models;Mytilus galloprovincialis;Regional climate modelsMytilus galloprovincialis13. Climate actionDynamic Energy Budget modelTemporal resolutionEnvironmental scienceClimate model14. Life underwaterTemporal scalesRegional climate models
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Phenology Estimation From Meteosat Second Generation Data

2013

Many studies have focused on land surface phenology, for example as a means to characterize both water and carbon cycles for climate model inputs. However, the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) sensor onboard Meteosat Second Generation (MSG) geostationary satellite has never been used for this goal. Here, five years of MSG-SEVIRI data have been processed to retrieve Normalized Difference Vegetation Index (NDVI) daily time series. Due to existing gaps as well as atmospheric and cloud contamination in the time series, an algorithm based on the iterative Interpolation for Data Reconstruction (IDR) has been developed and applied to SEVIRI NDVI time series, from which phenologi…

EstimationAtmospheric ScienceMeteorologyPhenologyVegetationStability (probability)Normalized Difference Vegetation IndexTemporal resolutionGeostationary orbitRadiometryEnvironmental scienceClimate modelComputers in Earth SciencesScale (map)InterpolationRemote sensingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Near real-time estimation of Sea and Land surface temperature for MSG SEVIRI sensors

2020

Abstract Land and Sea Surface Temperatures (LST and SST) are both recognized as Essential Climate Variables, and are routinely retrieved by a wealth of satellites. However, for validated approaches, the latest data are usually not available to the general public. We offer to bridge this gap, by using Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI), with its 15 min temporal resolution. Here, we present generic algorithms for the retrieval of both LST and SST, valid for the SEVIRI instrument onboard MSG platforms 8–11, which we validate using hourly data of 4 ground stations and 11 buoys in Spain over the years 2015 to 2018. These validations show that …

Global and Planetary ChangeDaytime010504 meteorology & atmospheric sciencesBuoyLand surface temperatureHomogeneity (statistics)0211 other engineering and technologies02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesTemporal resolutionGeostationary orbitEnvironmental scienceSatelliteComputers in Earth SciencesTime processing021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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Uncertainty analysis of the influence of rainfall time resolution in the modelling of urban drainage systems

2005

In urban drainage modelling, rainfall temporal variability can be considered as one of the most critical knowledge elements when dealing with rainfall–runoff models input data. The rainfall data temporal resolution usually available for practical applications is often lower than that requested for the rainfall–runoff simulation in urban areas, greatly compromising model accuracy. The present paper evaluates the influence of rainfall temporal resolution on the uncertainty of the response of rainfall–runoff modelling in urban environments. Analyses have been carried out using historical rainfall–discharge data collected for about 10 years in Parco d'Orleans experimental catchment (Palermo, It…

Hydrologygeographygeography.geographical_feature_categoryMeteorologyMonte Carlo methodDrainage basinVariable (computer science)Temporal resolutionEnvironmental scienceDrainageSurface runoffGLUEUncertainty analysisWater Science and TechnologyHydrological Processes
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Multitemporal fusion of Landsat and MERIS images

2011

Monitoring Earth dynamics from current and future observation satellites is one of the most important objectives for the remote sensing community. In this regard, the exploitation of image time series from sensors with different characteristics provides an opportunity to increase the knowledge about environmental changes, which are needed in many operational applications, such as monitoring vegetation dynamics and land cover/use changes. Many studies in the literature have proven that high spatial resolution sensors like Landsat are very useful for monitoring land cover changes. However, the cloud cover probability of many areas and the 15-days temporal resolution restrict its use to monito…

Image SeriesImage fusionTemporal resolutionEnvironmental scienceLand coverImage sensorSensor fusionImage resolutionNormalized Difference Vegetation IndexRemote sensing
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An interpolation-based data fusion scheme for enhancing the resolution of thermal image sequences

2014

In several human activities, such as agriculture and forest management, the monitoring of radiometric surface temperature is key. In particular both high spatial resolution and high acquisition rate are desirable but, due to the hardware limitations, these two characteristics are not met by the same sensor. The fusion of remotely sensed data acquired by sensors with different spatial and temporal resolution is a profitable choice to face this issue. When the real-time requirement is relaxed, the data sequence can be processed as a whole, allowing to improve the final result. Within this framework, we propose a novel batch sharpening strategy, relying on interpolation, data fusion and Bayesi…

Image fusionIrrigation ManagementSettore ING-INF/03 - TelecomunicazioniComputer sciencebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComputer Science Applications1707 Computer Vision and Pattern RecognitionSharpeningSensor fusionBayesian SmoothingThermal SharpeningMultitemporal AnalysiTemporal resolutionFace (geometry)Key (cryptography)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionArtificial intelligencebusinessMultisensor Data FusionEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E CartografiaSub-pixel resolutionInterpolation2014 IEEE Geoscience and Remote Sensing Symposium
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MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes

2016

One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The mont…

Information Systems and Management010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforestbusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyRainforest01 natural sciencesComputer Science ApplicationsSpatial ecologyHigh temporal resolutionEnvironmental scienceSatellite imageryModerate-resolution imaging spectroradiometerbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensingData
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NOAA-AVHRR Orbital Drift Correction: Validating Methods Using MSG-SEVIRI Data as a Benchmark Dataset

2021

National Oceanic and Atmospheric Administration–Advanced Very High Resolution Radiometer (NOAA-AVHRR) data provides the possibility to build the longest Land Surface Temperature (LST) dataset to date, starting in 1981 up to the present. However, due to the orbital drift of the NOAA platforms, no LST dataset is available before 2000 and the arrival of newer platforms. Although numerous methods have been developed to correct this orbital drift effect on the LST, a lack of validation has prevented their application. This is the gap we bridge here by using the 15 min temporal resolution of Meteosat Second Generation–Spinning Enhanced Visible and Infra-Red Imager (MSG-SEVIRI) data to simulate dr…

LSTRadiometer010504 meteorology & atmospheric sciencesSeries (mathematics)ScienceQLST; temperature; time series; homogenizationhomogenization0211 other engineering and technologiesSolar zenith angletemperatureAbsolute value02 engineering and technology01 natural sciencesStandard deviationTemporal resolutionGeneral Earth and Planetary SciencesEnvironmental scienceNoise (video)time seriesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing
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6‐1: Invited Paper: Measuring Health Parameters with Large‐Area Organic Photodetector Arrays

2021

Solution-processed organic photodetectors (OPDs) have witnessed great progress in the past few years. With silicon-like performance achieved, OPDs enable new medical imaging applications by offering cost-effective light detection over large area. Herein, we illustrate the compelling advantages of high spatial and temporal resolution OPD arrays for medical X-ray detectors and wearable pulse oximeters.

Light detectionbusiness.industryComputer scienceTemporal resolutionDetectorMedical imagingOptoelectronicsPhotodetectorWearable computerbusinessFlexible electronicsPulse oximetersSID Symposium Digest of Technical Papers
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Ultraschnelle MRT der Lungenventilation mittels hochpolarisiertem Helium-3*

2000

Objective Assessment of the temporal and spatial dynamics of hyperpolarized Helium-3 (3He) distribution in the lung with ultrafast gradient-echo magnetic-resonance imaging. Material and methods Coronal images of the lung were acquired using ultrafast gradient-echo pulse sequences with TR/TE = 3.3 ms/1.3 ms (slice thickness, 40 mm) and TR/TE = 2.0 ms/0.7 ms (without slice selection). A series of 80 or 160 projection images was obtained with 210 ms or 130 ms temporal resolution, respectively. Imaging was performed during several respiratory cycles after application of a single bolus of 300 mL hyperpolarized 3He. Measurements were performed in six healthy volunteers (spontaneous breathing). Re…

Lungmedicine.anatomical_structureNuclear magnetic resonanceMaterials sciencePulse (signal processing)Temporal resolutionBreathingmedicineWashoutRadiology Nuclear Medicine and imagingHyperpolarized Helium 3Image resolutionRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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