Search results for "surface temperature"

showing 10 items of 218 documents

Accounting for Input Noise in Gaussian Process Parameter Retrieval

2020

Gaussian processes (GPs) are a class of Kernel methods that have shown to be very useful in geoscience and remote sensing applications for parameter retrieval, model inversion, and emulation. They are widely used because they are simple, flexible, and provide accurate estimates. GPs are based on a Bayesian statistical framework which provides a posterior probability function for each estimation. Therefore, besides the usual prediction (given in this case by the mean function), GPs come equipped with the possibility to obtain a predictive variance (i.e., error bars, confidence intervals) for each prediction. Unfortunately, the GP formulation usually assumes that there is no noise in the inpu…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencePosterior probability0211 other engineering and technologiesMachine Learning (stat.ML)02 engineering and technologyMachine Learning (cs.LG)symbols.namesakeStatistics - Machine LearningElectrical and Electronic EngineeringGaussian process021101 geological & geomatics engineeringPropagation of uncertaintyNoise measurementbusiness.industryFunction (mathematics)Geotechnical Engineering and Engineering GeologySea surface temperatureNoiseKernel methodsymbolsGlobal Positioning SystemErrors-in-variables modelsbusinessAlgorithmIEEE Geoscience and Remote Sensing Letters
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Thermal imaging ruled out as a supplementary assessment in patients with fibromyalgia: A cross-sectional study

2021

Background The diagnosis of fibromyalgia syndrome (FMS) syndrome is often complicated and relies on diagnostic criteria based mostly on the symptoms reported by patients. Implementing objective complementary tests would be desirable to better characterize this population. Objective The purpose of this cross-sectional study was to compare the skin temperature at rest using thermography in women with FMS and healthy women. Methods Eighty-six women with FMS and 92 healthy controls volunteered to participate. The temperature of all participants was measured by infra-red thermography, registering the skin surface temperature (minimum, maximum and average) at rest in different areas: neck, upper…

FibromyalgiaPhysiologyCross-sectional studyKneesSensory PhysiologyBody TemperatureMedical Conditions0302 clinical medicineSkeletal JointsFibromyalgiaMedicine and Health SciencesMedicineMusculoskeletal SystemImmune Responseeducation.field_of_studyMultidisciplinaryQRSkin temperatureNeuromuscular DiseasesResearch AssessmentMiddle AgedSensory SystemsNeurologyPhysiological ParametersSomatosensory SystemThermographyThermographyMedicineLegsFemaleAnatomyResearch Articlemedicine.medical_specialtyScienceSkin surface temperatureImmunologyPopulationPainResearch and Analysis Methods03 medical and health sciencesSigns and SymptomsRheumatologyHumansIn patienteducationSkeletonResearch ErrorsInflammation030203 arthritis & rheumatologybusiness.industryBiology and Life SciencesPain Sensationmedicine.diseaseCross-Sectional StudiesBody LimbsCase-Control StudiesMann–Whitney U testPhysical therapyClinical MedicineSkin TemperaturebusinessNeck030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Wind forcing and fate of <i>Sardinella aurita</i> eggs and larvae in the Sicily Channel (Mediterranean Sea)

2015

Abstract. Multidisciplinary studies are recently seeking to define diagnostic tools for fishery sustainability by coupling ichthyoplanktonic datasets, physical and bio-geochemical oceanographic measurements, and ocean modelling. The main goal of these efforts is the understanding of those processes that control fate and dispersion of fish larvae and eggs and thus tune the inter-annual variability of biomass of fish species. We here analyzed eggs and larvae distribution and biological features of Sardinella aurita in the northeast sector of the Sicily Channel (Mediterranean Sea) collected during the 2010 and 2011 summer cruises. We make use of satellite sea surface temperature, wind, and chl…

FisherySea surface temperatureBiomass (ecology)OceanographyMediterranean seabiologyPotential vorticitySustainable fisheryWind stressEnvironmental scienceSubmarine pipelineSardinellabiology.organism_classification
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Interannual to decadal variability of summer sea surface temperature in the Sea of Okhotsk recorded in the shell growth history of Stimpson's hard cl…

2017

Abstract Sclerochronological and shell stable oxygen isotopic analyses were conducted on live-caught specimens of Stimpson's hard clams, Mercenaria stimpsoni , from the southern Sea of Okhotsk, off northern Hokkaido, Japan. In this region, the main growing season of this species during early ontogeny (below the age of 12 years) lasts from mid-spring to mid-fall at sea surface temperatures (SST) between approximately 10 and 22 °C. Growth cessation begins between late fall and early spring at SST, below approximately 6 °C; however, shell growth was largely limited to the summer season later in life. Counting of annual increments indicated that this species had a relatively long life span of u…

Global and Planetary Change010504 meteorology & atmospheric sciencesOntogenyMercenaria stimpsoniGrowing seasonOceanic climate010502 geochemistry & geophysicsOceanography01 natural sciencesSummer seasonSea surface temperatureOceanographySclerochronologyGeology0105 earth and related environmental sciencesChronologyGlobal and Planetary Change
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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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A new marker for sea surface temperature trend during the last centuries in temperate areas: Vermetid reef

2004

The presence of Vermetid reefs in temperate waters, their diffusion in the Mediterranean Sea, and the possibility of performing 14 C ages allowed the use of Vermetids as an indicator of sea level changes. We present new data on sea climate trend fluctuations that could be interpreted as Sea Surface Temperature (SST) variations, recorded on Vermetid (Dendropoma petraeum) reefs, by means of isotopic analysis. The isotopic records show positive values of the d 18 O relative to present-day values in the period between 1600 and 1850 AD; this deviation occurs in association with the climatic cooling event known as Little Ice Age (LIA). Subsequently, we can observe the warming trend that character…

Global and Planetary ChangeDendropoma petraeumgeographygeography.geographical_feature_categorybiologyDendropomaOceanographybiology.organism_classificationVermetid reefs Sea surface temperature trend Late Holocene Temperate watersSea surface temperatureOceanographyMediterranean seaTemperate climateReefGeologySea levelIsotope analysisGlobal and Planetary Change
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The bivalve <i>Glycymeris planicostalis</i> as a high-resolution paleoclimate archive for the Rupelian (Early Oligocene) …

2015

Abstract. Current global warming is likely to result in a unipolar glaciated world with unpredictable repercussions on atmospheric and oceanic circulation patterns. These changes are expected to affect seasonal extremes and the year-to-year variability of seasonality. To better constrain the mode and tempo of the anticipated changes, climatologists require ultra-high-resolution proxy data of time intervals in the past, e.g., the Oligocene, during which boundary conditions were similar to those predicted for the near future. In the present paper, we assess whether such information can be obtained from shells of the long-lived bivalve mollusk Glycymeris planicostalis from the late Rupelian of…

Global and Planetary ChangeGlycymerisbiologyStratigraphyGlobal warmingPaleontologyStructural basinPlanktonSeasonalitybiology.organism_classificationmedicine.diseaseForaminiferaSea surface temperatureOceanographyClimatologyPaleoclimatologymedicineGeologyClimate of the Past
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Classifying Major Explosions and Paroxysms at Stromboli Volcano (Italy) from Space

2021

Stromboli volcano has a persistent activity that is almost exclusively explosive. Predominated by low intensity events, this activity is occasionally interspersed with more powerful episodes, known as major explosions and paroxysms, which represent the main hazards for the inhabitants of the island. Here, we propose a machine learning approach to distinguish between paroxysms and major explosions by using satellite-derived measurements. We investigated the high energy explosive events occurring in the period January 2018–April 2021. Three distinguishing features are taken into account, namely (i) the temporal variations of surface temperature over the summit area, (ii) the magnitude of the …

High energygeographygeography.geographical_feature_categorysatellite remote sensingExplosive materialLand surface temperaturemachine learning classifierScienceQPlume heightoptical imageryMagnitude (mathematics)volcanic explosionsPlumeVolcanoGeneral Earth and Planetary Sciencesradar imageryvolcanic explosions; satellite remote sensing; machine learning classifier; optical imagery; radar imagerySeismologyGeologyVolcanic ashRemote Sensing
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High resolution remote estimation of soil surface water content by a thermal inertia approach

2009

Summary The spatial distribution of soil surface water content in a bare soil was evaluated by a thermal inertia approach from high resolution visible/near infrared (VIS/NIR) and thermal infrared (TIR) airborne data. Given that the relationship between the thermal inertia and the soil water content strongly depends on the accurate estimation of the soil thermal conductivity, two different empirical models were applied to estimate it. Remotely estimated water contents were tested with time domain reflectometry (TDR) measurements collected on a 110 × 90 m 2 bare field in coincidence with airborne over-flights. The thermal conductivity model by Johansen (1975) produced more accurate estimates …

Hydrology (agriculture)Thermal conductivitySoil thermal propertiesThermal inertia Soil water content Surface temperature Soil thermal conductivitySoil waterEnvironmental scienceMineralogySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliConductivityReflectometryWater contentSurface waterWater Science and Technology
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Single-channel and two-channel methods for land surface temperature retrieval from DAIS data and its application to the Barrax site

2004

In this paper, a methodology using a single-channel and a two-channel method is presented to estimate the land surface temperature from the DAIS (Digital Airborne Imaging Spectrometer) thermal channels 74 (8.747 µm), 75 (9.648 µm), 76 (10.482 µm), 77 (11.266 µm), 78 (11.997 µm) and 79 (12.668 µm). The land surface temperature retrieved with both methods has been validated over the Barrax site (Albacete, Spain) in the framework of the DAISEX (Digital Airborne Imaging Spectrometer Experiment) field campaigns. Prior to the validation an analysis of the DAIS data quality has been performed in order to check the agreement between in situ data and the values extracted from the DAIS images supplie…

HydrologyLand surface temperatureData qualityInstrumentationImaging spectrometerCalibrationGeneral Earth and Planetary SciencesEnvironmental scienceDaisRemote sensingCommunication channelInternational Journal of Remote Sensing
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