Search results for "satellite"

showing 10 items of 1031 documents

Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection

2021

The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor independently. Differences in retrieved radiances lead to significant drops in accuracy, which hampers knowledge and information sharing across sensors. This is particularly harmful for machine learning algorithms, since gathering new ground truth data to train models for each sensor is costly and requires experienced manpower. In this work, we propose a domain adaptation transformation to reduce the statistical differences between images of two…

FOS: Computer and information sciencesAtmospheric ScienceComputer Science - Machine LearningGenerative adversarial networks010504 meteorology & atmospheric sciencesComputer scienceRemote sensing applicationdomain adaptationGeophysics. Cosmic physics0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesImage (mathematics)Data modelingMachine Learning (cs.LG)convolutional neural networksFOS: Electrical engineering electronic engineering information engineeringLandsat-8Computers in Earth SciencesAdaptation (computer science)TC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryQC801-809Image and Video Processing (eess.IV)Electrical Engineering and Systems Science - Image and Video ProcessingOcean engineeringTransformation (function)cloud detectionSatelliteData miningProba-VTransfer of learningbusinesscomputer
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A Deep Network Approach to Multitemporal Cloud Detection

2018

We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and propagates information in time via a recurrent neural network structure. With a single model, we are able to outline clouds along all year and during day and night with high accuracy.

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceFeature extraction0211 other engineering and technologiesCloud detectionFOS: Physical sciencesCloud computing02 engineering and technologyCloud detection01 natural sciencesMachine Learning (cs.LG)Laboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingbusiness.industrySeviriDeep learningDeep learningPE&RCPhysics - Atmospheric and Oceanic PhysicsRecurrent neural networkRecurrent neural networksAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networksSatelliteArtificial intelligencebusinessNetwork approachIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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Correcting the effect of stellar spots on ARIEL transmission spectra

2020

The goal of this study is to assess the impact of the stellar spots on the extraction of the planetary transmission spectra observed by ARIEL. We develop a method to model the stellar spectrum of a star in the presence of spots by using the out-of-transit observations. It is based on a chi squared minimization procedure of the out-of-transit spectrum on a grid of stellar spectra with different sizes and temperatures of the spots. The approach allows us also to study the temporal evolution of the spots when comparing stellar spectra observed at different epochs. We also present a method to correct the transit depth variations due to non-occulted stellar spots and estimate the error we introd…

FOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsAstronomical spectroscopySpectral lineAtmosphereSettore FIS/05 - Astronomia E Astrofisicastars: activityAstrophysics::Solar and Stellar AstrophysicsTransit (astronomy)planetary systemsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsEarth and Planetary Astrophysics (astro-ph.EP)planets and satellites: atmospheresPhysicsSpotsStarspotAstronomy and AstrophysicsPlanetary systemstarspotsAstrophysics - Solar and Stellar AstrophysicsTransmission (telecommunications)Space and Planetary ScienceAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Earth and Planetary AstrophysicsMonthly Notices of the Royal Astronomical Society
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Localization of non-specific X-linked mental retardation gene (MRX73) to Xp22.2.

2001

Clinical and molecular studies are reported on a family (MRX73) of five males with non-specific X-linked mental retardation (XLMR). A total of 33 microsatellite and RFLP markers was typed. The gene for this XLMR condition was been linked to DXS1195, with a lod score of 2.36 at theta = 0. The haplotype and multipoint linkage analyses suggest localization of the MRX73 locus to an interval of 2 cM defined by markers DXS8019 and DXS365, in Xp22.2. This interval contains the gene of Coffin-Lowry syndrome (RSK2), where a missense mutation has been associated with a form of non-specific mental retardation. Therefore, a search for RSK2 mutations was performed in the MRX73 family, but no causal muta…

Family HealthMaleGeneticscongenital hereditary and neonatal diseases and abnormalitiesCoffin–Lowry syndromeX ChromosomeGenetic LinkageHaplotypeChromosome MappingLocus (genetics)Biologymedicine.diseasePedigreeGenetic linkageIntellectual DisabilitymedicineHumansMissense mutationMicrosatelliteFemaleLod ScoreRestriction fragment length polymorphismGenetics (clinical)X chromosomeMicrosatellite Repeats
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DNA sequence characterisation and phylogeography of Lymnaea cousini and related species, vectors of fascioliasis in northern Andean countries, with d…

2011

Abstract Background Livestock fascioliasis is a problem throughout Ecuador, Colombia and Venezuela, mainly in Andean areas where the disease also appears to affect humans. Transmission patterns and epidemiological scenarios of liver fluke infection have shown to differ according to the lymnaeid vector snail species involved. These Andean countries present the vectors Lymnaea cousini, L. bogotensis and L. ubaquensis, unknown in the rest of Latin America. An exhaustive combined haplotype study of these species is performed by means of DNA sequencing of the nuclear ribosomal 18S RNA gene, ITS-2 and ITS-1, and mitochondrial DNA cox 1 gene. Results The conserved 5.8S rDNA sequence corroborated t…

FascioliasisMitochondrial DNAPseudosuccinea columellaMolecular Sequence DataZoologyColombiaDisease VectorsDNA Ribosomal18S ribosomal RNALymnaeidaelcsh:Infectious and parasitic diseasesHepaticaDNA Ribosomal SpacerRNA Ribosomal 18SAnimalsCluster Analysislcsh:RC109-216LymnaeabiologyPhylogenetic treeResearchSequence Analysis DNAVenezuelabiology.organism_classificationRNA Ribosomal 5.8SPhylogeographyPhylogeographyInfectious DiseasesCyclooxygenase 1MicrosatelliteParasitologyEcuadorParasites & Vectors
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Estimating the onset of dispersal in endangered Bonelli's Eagles Hieraaetus fasciatus tracked by satellite telemetry: a comparison between methods

2007

This project was funded by the Terra Natura Foundation. L.C. and P.L.-L. are supported by FPU grants of the Spanish Ministerio de Educacion y Ciencia (references AP2001-1444 and AP2005-0874, respectively).

FisheryGeographybiologyEcologySatellite telemetryEndangered speciesAccipitridaeBiological dispersalAnimal Science and ZoologyHieraaetusbiology.organism_classificationEcology Evolution Behavior and SystematicsRange findingIbis
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Synthetic scene simulator for hyperspectral spaceborne passive optical sensors. Application to ESA's FLEX/sentinel-3 tandem mission

2014

The simulation of synthetic images serve scientists and engineers to study the instrument configuration as well as to develop image processing and retrieval strategies for a sensor in development. Despite synthetic scene simulators have been developed in the past in the frame of satellite missions, their functionality and flexibility to create a user-defined scene is limited by their architecture, design and implementation. This paper introduces the design of a generic scene simulator with the flexibility to generate realistic synthetic scenes by configuration of the surface and atmosphere. Following this generic design, a scene simulator is being developed for the ESA's Earth Explorer 8th …

Flexibility (engineering)Atmosphere (unit)Computer scienceSIGNAL (programming language)Frame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFLEXHyperspectral imagingSatelliteImage processingSimulation2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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An improved perspective in the representation of soil moisture: potential added value of SMOS disaggregated 1 km resolution product

2018

Abstract. This study uses the synergy of multiresolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a Soil Vegetation Atmosphere Transfer (SVAT) model, SURFEX (Externalized Surface) – module ISBA (Interactions between Soil-Biosphere-Atmosphere), to examine, i) the comparison and suitability of different operational SMOS SM products to provide realistic information on the water content of the soil as well as the added value of the newly released SMOS Level 4 3.0 all weather disaggregated ~ 1 km SM (SMOS_L4 3.0 ), and ii) its potential impact for improving uncertainty associated to SM initia…

Flood forecastingSpatial ecologyEnvironmental scienceInitializationSatelliteSpatial variabilityVegetationScale (map)Atmospheric sciencesWater content
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Influence of Twinning Microstructure of Crystals with Low Tetragonality on a X-Ray Diffraction

2001

The intensity distributions of the X-rays scattered in the tetragonal single crystal, which represent a complex of the twin domains separated by the coherent parallel boundaries, are simulated. The calculations are performed by using the Monte Carlo method within the framework of a kinematical approach. The thickness distributions of the twin domains are defined according to the geometrical, Gaussian and log normal functions. ‘Critical’ effects of the X-ray scattering are found, namely there is transformation of the tetragonal doublet into singlet or multiplet. As demonstrated, each of characteristics of the tetragonal doublet profile depends on a few parameters of the twin microstructure o…

Fluid Flow and Transfer ProcessesMaterials sciencetetragonal crystalMaterials Science (miscellaneous)satelliteMetals and AlloystwinsCondensed Matter PhysicsMicrostructurelcsh:QC1-999diffuse scatteringSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceCrystallographyx-ray diffractionCondensed Matter::SuperconductivityX-ray crystallographyCondensed Matter::Strongly Correlated ElectronsCrystal twinninglcsh:PhysicsUspehi Fiziki Metallov
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