0000000000942658

AUTHOR

Norman Fomferra

showing 2 related works from this author

The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3

2016

Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. With the advent of the European Space Agency (ESA) Sentinel 3 (S3) satellite, accurate LST retrieval methodologies are being developed by exploiting the synergy between the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR). In this paper we explain the implementation in the Basic ENVISAT Toolbox for (A)ATSR and MERIS (BEAM) and the use of one LST algorithm developed in the framework of the Syner…

Information Systems and ManagementRadiometersentinels; sensor synergy; OLCI; SLSTR; land surface temperature; BEAM010504 meteorology & atmospheric sciencesLand surface temperature0211 other engineering and technologiesImaging spectrometerFOS: Physical sciences02 engineering and technologyAATSR01 natural sciencesGeophysics (physics.geo-ph)Computer Science ApplicationsMedium resolutionPhysics - GeophysicsEmissivitySatelliteBeam (structure)021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensing
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CHRIS/PROBA toolbox for hyperspectral and multiangular data exploitations

2009

The project CHRIS/Proba Toolbox for BEAM (CHRIS-Box) has been developed in order to support users of data from the CHRIS sensor onboard of ESA's Proba platform. BEAM and the CHRIS-Box are user tools which ESA/ESRTN are providing free of charge to the Earth Observation Community. The CHRIS-Box software provides extensions for BEAM that allows accomplishing the following tasks: a) Noise reduction to remove the vertical striping and other noise present in CHRIS response-corrected images; b) Cloud screening to mark cloudy pixels in CHRIS noise-corrected images; the cloud screening algorithm provides cloud probability and abundances for each pixel; c) Atmospheric correction that provides surface…

Earth observationPixelbusiness.industryComputer scienceAtmospheric correctionComputingMilieux_PERSONALCOMPUTINGHyperspectral imagingReflectivityGeneralLiterature_MISCELLANEOUSPhysics::History of PhysicsComputer visionArtificial intelligenceNoise (video)businessGeographic coordinate systemRemote sensingInternational Geoscience and Remote Sensing Symposium (IGARSS)
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