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Author Jacob, Frédéric ♦ Schmugge, Thomas ♦ Olioso, Albert ♦ French, Andrew ♦ Ogawa, Kenta ♦ Petitcolin, Francois ♦ Chehbouni, Ghani ♦ Pinheiro, Ana ♦ Privette, Jeffrey ♦ Courault, Dominique
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Vegetated Land Surface ♦ Thermal Infrared Remote Sensing ♦ Modeling Tool ♦ Ensemble Brightness ♦ Simple Radiative Transfer Equation ♦ Various Land Surface Temperature ♦ Tir Remote Sensor ♦ Abstract Thermal Infra Red ♦ Vegetation Temperature ♦ Measurement Relies ♦ Mass Exchange ♦ Soil Respiration ♦ Spatial Dimension ♦ Vegetation Physiological Activity ♦ Aerodynamic Temperature ♦ Canopy Temperature Profile
Abstract Abstract Thermal Infra Red (TIR) Remote sensing allow spatializing various land surface temperatures: ensemble brightness, radiometric and aerodynamic temperatures, soil and vegetation temperatures optionally sunlit and shaded, and canopy temperature profile. These are of interest for monitoring vegetated land surface processes: heat and mass exchanges, soil respiration and vegetation physiological activity. TIR remote sensors collect information according to spectral, directional, temporal and spatial dimensions. Inferring temperatures from measurements relies on developing and inverting modeling tools. Simple radiative transfer equations directly link measurements and variables of interest, and can be analytically
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 2009-01-01