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RESEARCH PRODUCT
A generalized single‐channel method for retrieving land surface temperature from remote sensing data
Juan C. Jiménez-muñozJosé A. Sobrinosubject
Atmospheric ScienceMaterials scienceEcologyPaleontologySoil ScienceForestryAquatic ScienceOceanographyAtmospheric temperatureRoot mean squareWavelengthGeophysicsSpace and Planetary ScienceGeochemistry and PetrologyThematic MapperEarth and Planetary Sciences (miscellaneous)EmissivitySatelliteWater vaporEarth-Surface ProcessesWater Science and TechnologyRemote sensingCommunication channeldescription
[1] Many papers have developed algorithms to retrieve land surface temperature from at-sensor and land surface emissivity data. These algorithms have been specified for different thermal sensors on board satellites, i.e., the algorithm used for one thermal sensor (or a combination of thermal sensors) cannot be used for other thermal sensor. The main goal of this paper is to propose a generalized single-channel algorithm that only uses the total atmospheric water vapour content and the channel effective wavelength (assuming that emissivity is known), and can be applied to thermal sensors characterized with a FWHM (Full-Width Half-Maximum) of around 1 μm actually operative on board satellites. The main advantage of this algorithm compared with the other single-channel methods is that in-situ radiosoundings or effective mean atmospheric temperature values are not needed, whereas the main advantage of this algorithm compared with split-window and dual-angle methods is that it can be applied to different thermal sensors using the same equation and coefficients. The validation for different test sites shows root mean square deviations lower than 2 K for AVHRR channel 4 (λ ≈ 10.8 μm) and ATSR-2 channel 2 (λ ≈ 11 μm), and lower than 1.5 K for Landsat Thematic Mapper (TM) band 6 (λ ≈ 11.5 μm).
year | journal | country | edition | language |
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2003-11-18 | Journal of Geophysical Research: Atmospheres |