Search results for " spatial resolution"

showing 10 items of 34 documents

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

2020

High spatial resolution vegetation products are fundamental in different fields, such as improving the understanding of crop seasonality at regional scales. Here, two new vegetation products such as the Leaf Area Index (LAI) and the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) are downscaled at continental scales. A novel HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HIS-TARFM) is used to generate the gap-free time series of Landsat surface reflectance data by fusing MODIS and Landsat reflectance for the contiguous United States. An artificial neural network is trained to capture the relationship between the gap free Landsat surface reflectance and the MODI…

010504 meteorology & atmospheric sciences0208 environmental biotechnology02 engineering and technologyDown scalingVegetationSeasonalitymedicine.disease01 natural sciencesReflectivity020801 environmental engineeringPhotosynthetically active radiationHigh spatial resolutionmedicineEnvironmental scienceLeaf area indexImage resolution0105 earth and related environmental sciencesRemote sensingIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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Bathymetric estimation using MERIS images in coastal sea waters.

2007

Bathymetric estimation using remote sensing images has previously been applied to high spatial resolution imagery such as CASI, Ikonos, or SPOT but not on medium spatial resolution images (i.e., MERIS). This choice can be justified when there is a need to map the bathymetry on large areas. In this letter, we present the results of the bathymetry estimation over a large known area, the Gulf of Lion (France), expanding over 270times180 km

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyCoastal zone01 natural sciences[SPI]Engineering Sciences [physics]Coastal zoneHigh spatial resolutionBathymetry14. Life underwaterElectrical and Electronic EngineeringImage resolutionComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesCoastal seaRemote sensingEstimationGeotechnical Engineering and Engineering GeologyMERISOceanographyRemote sensing (archaeology)Bathymetry[SDE]Environmental Sciences[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGeology
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Understanding the SO 2 degassing budget of Mt Etna’s paroxysms: First clues from the december 2015 sequence

2019

The persistent open-vent activity of basaltic volcanoes is periodically interrupted by spectacular but hazardous paroxysmal explosions. The rapid transition from quiescence to explosive eruption poses a significant challenge for volcanic hazard assessment and mitigation, and improving our understanding of the processes that trigger these paroxysmal events is critical. Although magmatic gas is unquestionably the driver, direct measurements of a paroxysm’s gas flux budget have remained challenging, to date. A particularly violent paroxysmal sequence took place on Etna on December 2015, intermittently involving all summit craters, especially the Voragine (VOR) that had previously displayed no…

010504 meteorology & atmospheric sciences2Earth and Planetary Sciences(all)UV camera010502 geochemistry & geophysics01 natural sciencesSequence (geology)Basaltic paroxysmsImpact craterBasaltic paroxysms; Etna; OMI; Thermal remote sensing; UV camera; Volcanic SO ; 2High spatial resolutionlcsh:ScienceThermal remote sensing0105 earth and related environmental sciences/dk/atira/pure/subjectarea/asjc/1900BasaltVolcanic SOgeographygeography.geographical_feature_categoryOMIGas fluxBasaltic paroxysmEtna volcanoVolcanoMagmavolcanic SO2General Earth and Planetary SciencesEtnalcsh:QSeismologyGeology
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Morphological Properties of Slender Ca ${\rm{II}}$ H Fibrils Observed by Sunrise II

2017

R. Gafeira et. al.

010504 meteorology & atmospheric sciencesFOS: Physical scienceschromosphere [Sun]AstrophysicsFibrilCurvature01 natural sciencesSponge spiculeObservatory0103 physical sciencesHigh spatial resolutionSunriseTechniques: imaging spectroscopySun: magnetic fields010303 astronomy & astrophysicsChromosphereSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesLine (formation)Physicsimaging spectroscopy [Techniques]Sun: chromosphereAstronomy and Astrophysicsmagnetic fields [Sun]Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceThe Astrophysical Journal Supplement Series
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Enhancing the retrieval of stream surface temperature from Landsat data

2019

International audience; Thermal images of water bodies often show a radiance gradient perpendicular to the banks. This effect is frequently due to mixed land and water thermal pixels. In the case of the Landsat images, radiance mixing can also affect pure water pixels due the cubic convolution resampling of the native thermal measurements. Some authors recommended a general-purpose margin of two thermal pixels to the banks or a minimum river width of three pixels, to avoid near bank effects in water temperature retrievals. Given the relatively course spatial resolution of satellite thermal sensors, the three pixel margin severely restricts their application to temperature mapping in many ri…

010504 meteorology & atmospheric sciencesPixel0208 environmental biotechnologySoil ScienceGeologyImage processing02 engineering and technology01 natural sciencesSubpixel rendering6. Clean water020801 environmental engineering[SDE]Environmental SciencesThermalRadianceEnvironmental scienceSatelliteSatellite imageryComputers in Earth SciencesRiver surface temperature Landsat 8 thermal band Thermal spatial resolution Cubic convolution resampling Thermal impact Mequinenza reservoir Ebro river Thermal stratificationImage resolution0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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The impact of in-canopy wind profile formulations on heat flux estimation in an open orchard using the remote sensing-based two-source model

2010

Abstract. For open orchard and vineyard canopies containing significant fractions of exposed soil (>50%), typical of Mediterranean agricultural regions, the energy balance of the vegetation elements is strongly influenced by heat exchange with the bare soil/substrate. For these agricultural systems a "two-source" approach, where radiation and turbulent exchange between the soil and canopy elements are explicitly modelled, appears to be the only suitable methodology for reliably assessing energy fluxes. In strongly clumped canopies, the effective wind speed profile inside and below the canopy layer can strongly influence the partitioning of energy fluxes between the soil and vegetation co…

Actual evapotranspirationEddy covarianceSensible heatlcsh:TechnologyWind speedlcsh:TD1-1066law.inventionWind profile power lawlawSemi-arid areaTwo-source energy balanceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf area indexlcsh:Environmental technology. Sanitary engineeringlcsh:Environmental sciencesRemote sensinglcsh:GE1-350lcsh:THigh spatial resolutionSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologialcsh:Geography. Anthropology. RecreationVegetationHeat fluxlcsh:GScintillometerEnvironmental scienceSparse canopyWind speed extinction
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Actual evapotranspiration assessment in a sparse tall Mediterranean crops

2010

Actual evapotranspirationHigh spatial resolutionSemi-arid areaSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaTwo-source energy balanceSparse canopy
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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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Atmospheric dust, early cases, and localized meningitis epidemics in the African meningitis belt: an analysis using high spatial resolution data.

2018

8 pages; International audience; Background : Bacterial meningitis causes a high burden of disease in the African meningitis belt, with regular seasonal hyperendemicity and sporadic short, but intense, localized epidemics during the late dry season occurring at a small spatial scale [i.e., below the district level, in individual health centers (HCs)]. In addition, epidemic waves with larger geographic extent occur every 7–10 y. Although atmospheric dust load is thought to be an essential factor for hyperendemicity, its role for localized epidemics remains hypothetic.Objectives : Our goal was to evaluate the association of localized meningitis epidemics in HC catchment areas with the dust lo…

Burden of disease010504 meteorology & atmospheric sciencesHealth Toxicology and MutagenesisMeningitis Meningococcal01 natural sciences03 medical and health sciences0302 clinical medicine[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesEnvironmental healthBurkina FasoHigh spatial resolutionmedicineHumans030212 general & internal medicineEpidemics0105 earth and related environmental sciencesIncidence (epidemiology)IncidenceResearchPublic Health Environmental and Occupational HealthDustAtmospheric dustmedicine.disease3. Good healthGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyBacterial meningitis[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieSeasonsAfrican meningitis beltMeningitis
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Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor

2021

ESA’s Eighth Earth Explorer mission “FLuorescence EXplorer” (FLEX) will be dedicated to the global monitoring of the chlorophyll fluorescence emitted by vegetation. In order to properly interpret the measured fluorescence signal, essential vegetation variables need to be retrieved concomitantly. FLEX will fly in tandem formation with Sentinel-3 (S3), which conveys the Ocean and Land Color Instrument (OLCI) that is designed to characterize the atmosphere and the terrestrial vegetation at a spatial resolution of 300 m. In support of FLEX’s preparatory activities, this paper presents a first validation exercise of OLCI vegetation products against in situ data coming from the 2018 FLEXSense cam…

Canopy010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesleaf chlorophyll content02 engineering and technology01 natural sciencesLeaf area indexpixel heterogeneityChlorophyll fluorescenceImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingleaf area indexPixelQcanopy chlorophyll contentVegetation15. Life on landSpatial ecologyGeneral Earth and Planetary SciencesEnvironmental scienceSentinel-3ddc:620Scale (map)moderate spatial resolutionleaf chlorophyll content; canopy chlorophyll content; leaf area index; pixel heterogeneity; moderate spatial resolution; Sentinel-3; OLCI; FLEX; HyPlantRemote Sensing
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