6533b7d4fe1ef96bd12626c2
RESEARCH PRODUCT
Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM+ Instrument Using Three Global Atmospheric Profiles
Juan C. Jiménez-muñozJosé A. SobrinoDrazen Skokovicsubject
010504 meteorology & atmospheric sciencesMean squared errorMeteorology0211 other engineering and technologiesAtmospheric correction02 engineering and technologyAtmospheric model01 natural sciencesThematic MapperRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceRadiometrySatelliteElectrical and Electronic EngineeringAlgorithmWater vapor021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdescription
Due to problems in the thermal infrared sensor on-board the Landsat-8 satellite, Landsat-7 (L7) can be an interesting alternative source of thermal data because it is the only source of well-calibrated, free, high-resolution data. To contribute to the quality of thermal data, a vicarious calibration (VC) of the enhanced thematic mapper instrument and a validation of the single-channel general equation and the water vapor approach algorithm in conjunction with an inversion of the radiative transfer equation (RTE) have been performed during 2013–2015 over two Spanish test sites. For this purpose, three global atmospheric profile data sets were used to better characterize the error due to atmospheric correction: 1) MODIS atmospheric product MOD07 version 5; 2) MOD07 version 6; and 3) national center for environmental prediction (NCEP) reanalysis data. The VC results show a negligible bias in our test sites while the land surface temperature algorithms validation present a root mean square error (RMSE) of 1.5 to 3 K, with the best performance for NCEP atmospheric profiles in combination with the inversion of the RTE (RMSE below 1.5 K).
year | journal | country | edition | language |
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2017-03-01 | IEEE Transactions on Geoscience and Remote Sensing |