Search results for "Image"

showing 10 items of 6818 documents

Coastal zone water quality: Calibration of a water-turbidity equation for MODIS data

2013

AbstractA nephelometric turbidity algorithm has been specifically calibrated for coastal waters in Sicily. To this purpose, intensive field campaigns were performed in July, August and September 2008. Measurements were collected in situ in three different gulfs. Statistical analysis suggests that field data should be spatially grouped but temporally separated; hence, new calibration parameters have been proposed.Turbidity retrieved by applying the algorithm using literature coefficients and the ones calibrated in situ are shown and compared. The comparison demonstrated that a specific calibration was necessary for quantitatively monitoring turbidity in Sicilian gulfs.

Atmospheric Science010504 meteorology & atmospheric sciencesCalibration (statistics)Field data0211 other engineering and technologiesField data02 engineering and technology01 natural sciencesCoastal zoneMODIS imageStatistical analysisComputers in Earth SciencesTurbidity021101 geological & geomatics engineering0105 earth and related environmental sciencesGeneral Environmental ScienceRemote sensingHydrologyCalibration parameterApplied MathematicsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaCoastal waterGeographyField campaignWater qualityNephelometric turbiditySettore ICAR/06 - Topografia E Cartografia
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Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
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Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

2021

The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a high spectral resolution that constrains the spatial resolution while significantly increasing the subpixel land-cover heterogeneity. Precisely, this spatial variability often makes that rather different canopy structures are aggregated together, which eventually generates important deviations in the corresponding parameter quantification. In the context of the Copernicus program (and other related Earth Explorer missions), this article propose…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencevegetation mappingGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)02 engineering and technologyLand coverearthSentinel-2 (S2)01 natural sciencessentinel-3 (S3)FLEXcharacterizationComputers in Earth SciencesImage resolutionTC1501-1800spatial resolutionBiophysical productsSentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQC801-809biophysical productsbiological system modelingSubpixel renderingSpatial heterogeneityOcean engineeringinstrumentsfluorescence EXplorer (FLEX)Spatial ecologyflexible printed circuitssentinel-2 (S2)Spatial variabilityspatial distributionssensor phenomena
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Evaluation of Disaggregation Methods for Downscaling MODIS Land Surface Temperature to Landsat Spatial Resolution in Barrax Test Site

2016

Thermal infrared (TIR) data are usually acquired at a coarser spatial resolution (CR) than visible and near infrared (VNIR). Several disaggregation methods have been recently developed to enhance the TIR spatial resolution using VNIR data. These approaches are based on the retrieval of a relation between TIR and VNIR data at CR, or training of a neural network, to be applied at the fine resolution afterward. In this work, different disaggregation methods are applied to the combination of two different sensors in the experimental test site of Barrax, Spain. The main objective is to test the feasibility of these techniques when applied to satellites provided with no TIR bands. Landsat and mod…

Atmospheric Science010504 meteorology & atmospheric sciencesMean squared errorNear-infrared spectroscopyTemperature0211 other engineering and technologies02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexVNIRRemote SensingSpectroradiometerImage resolutionImage enhancementLinear regressionEnvironmental scienceComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingDownscalingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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High-speed intensified video recordings of sprites and elves over the western Mediterranean Sea during winter thunderstorms

2010

We report the first intensified high‐speed video images of elves, sprites, and halos observed in Europe. All the events corresponded to winter season thunderstorms over the Mediterranean Sea. The observations comprise many elves generated by both cloud‐to‐ground lightning current polarities. In 8 of the 14 sprite observations we observed an elve previous to the sprite. In three cases we observed also an elve quickly followed by a halo and a sprite. In several observations we observed lightning light before the mesospheric transient luminous event. We present a case where the lightning from cloud tops was visible during the entire event. Thanks to the high‐speed videos and their resolution a…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorology0207 environmental engineeringSoil Science02 engineering and technologyAquatic ScienceOceanography01 natural sciencesMediterranean seaSprite (lightning)Geochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Thundersnow020701 environmental engineering0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEcologyCloud topPaleontologyForestryVideo imageGeophysics13. Climate actionSpace and Planetary ScienceThunderstormLight emissionAtmospheric electricityGeologyJournal of Geophysical Research: Space Physics
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Simulation of Future Geostationary Ocean Color Images

2012

The objective of this work is to simulate global images that would be provided by a theoretical ocean color sensor on a geostationary orbit at longitude 0, in order to assess the range of radiance value data reaching the sensor throughout the day for 20 spectral bands similar to those of the Ocean and Land Color Imager (OLCI). The secondary objective is to assess the illumination and viewing geometries that result in sunglint. For this purpose, we combined a radiative transfer model for ocean waters (Hydrolight) and a radiative transfer model for atmosphere (MODTRAN) to construct the simulated radiance images at the sea surface and at the Top-Of-Atmosphere (TOA). Bio-optical data from GlobC…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologyMODTRANSolar zenith angleSunglint01 natural sciences010309 opticsAtmospheric radiative transfer codes13. Climate actionOcean color0103 physical sciencesGeostationary orbitRadianceEnvironmental scienceComputers in Earth Sciences[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSZenith0105 earth and related environmental sciencesRemote sensingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Advances in understanding mineral dust and boundary layer processes over the Sahara from Fennec aircraft observations

2015

Abstract. The Fennec climate programme aims to improve understanding of the Saharan climate system through a synergy of observations and modelling. We present a description of the Fennec airborne observations during 2011 and 2012 over the remote Sahara (Mauritania and Mali) and the advances in the understanding of mineral dust and boundary layer processes they have provided. Aircraft instrumentation aboard the UK FAAM BAe146 and French SAFIRE (Service des Avions Français Instrumentés pour la Recherche en Environnement) Falcon 20 is described, with specific focus on instrumentation specially developed for and relevant to Saharan meteorology and dust. Flight locations, aims and associated met…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologyPlanetary boundary layerCONVECTIVE SYSTEMEnvironmental Sciences & EcologyAEROSOL OPTICAL-PROPERTIESMineral dust010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesCOARSE MODElcsh:ChemistryHaboobDust storm0201 Astronomical and Space SciencesMeteorology & Atmospheric SciencesSatellite imagerySOUTHERN MOROCCO0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]GBScience & TechnologyHEAT LOWAIRBORNE OBSERVATIONSRETRIEVAL PRODUCTSOzone depletionlcsh:QC1-999PARTICLE-SIZEAERONETBoundary layerlcsh:QD1-99913. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyPhysical SciencesWEST-AFRICAN MONSOONEnvironmental science0401 Atmospheric SciencesNORTH-ATLANTIC OCEANLife Sciences & Biomedicinelcsh:PhysicsEnvironmental SciencesAtmospheric Chemistry and Physics
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Including an environmental quality index in a demographic model

2016

This paper presents a new well-being index which allows environmental quality to be measured through CO2 emissions, renewable energies and nuclear power. Its formula derives from a geometric mean used to calculate which things in the human production system warm the planet and which do not. This index has been introduced into a gender-defined stochastic population dynamic mathematical model which measures well-being in a country. The main variables in this model are rates of death, birth, emigration and immigration, as well as three UN indices: Human Development Index, Gender Development Index and Gender Empowerment Index. This model has been extended with variables that allow an environmen…

Atmospheric Science050402 sociologyIndex (economics)Stochastic modellingWell-beingPopulationSustainable development.02 engineering and technologyManagement Monitoring Policy and Law0504 sociology0202 electrical engineering electronic engineering information engineeringEconomicsEconometricsGender Development IndexHuman Development IndexeducationEnvironmental qualityEnvironmental qualitySustainable developmentGlobal and Planetary Changeeducation.field_of_studybusiness.industry05 social sciencesEnvironmental resource managementDemographic modelSustainability020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessInternational Journal of Global Warming
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A spatially consistent downscaling approach for SMOS using an adaptive window

2017

The European Space Agency (ESA)'s Soil Moisture and Ocean Salinity (SMOS) is the first spaceborne mission using L-band radiometry to monitor the Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed to improve the quality and applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm for SMOS is proposed to obtain high-resolution (HR) SM maps at 1 km (L4), from the ∼40 km native resolution of the instrument. This algorithm introduces the concept of a shape adaptive moving window as an improvement of the current semi-empirical downscaling approach at SMOS Barcelona Expert Center, based on the “universal triangle…

Atmospheric ScienceBrightnessTeledeteccióMean squared error010504 meteorology & atmospheric sciencesREMEDHUS0211 other engineering and technologiesHigh resolution02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexBECComputers in Earth SciencesImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingNative resolutionAdaptive moving windowLow resolutionMoving windowRemote sensing:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Orbit (dynamics)RadiometryEnvironmental scienceSpatial variabilitySoil moistureSòls -- HumitatDownscalingSMOS
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Detection of Water Stress in an Olive Orchard with Thermal Remote Sensing Imagery

2006

An investigation of the detection of water stress in non-homogeneous crop canopies such as orchards using high-spatial resolution remote sensing thermal imagery is presented. An airborne campaign was conducted with the Airborne Hyperspectral Scanner (AHS) acquiring imagery in 38 spectral bands in the 0.43–12.5 mm spectral range at 2.5 m spatial resolution. The AHS sensor was flown at 7:30, 9:30 and 12:30 GMT in 25 July 2004 over an olive orchard with three different water-deficit irrigation treatments to study the spatial and diurnal variability of temperature as a function of water stress. A total of 10 AHS bands located within the thermal-infrared region were assessed for the retrieval of…

Atmospheric ScienceGlobal and Planetary ChangeGround truthCrown temperatureWater stressDeficit irrigationAtmospheric correctionHyperspectral imagingForestrySpectral bandsEmissivityEnvironmental scienceOrchardDeficit irrigationAgronomy and Crop ScienceImage resolutionThermal remote sensingRemote sensingSplit-window
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