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A platform for research: civil engineering, architecture and urbanism
Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM+ Instrument Using Three Global Atmospheric Profiles
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).
Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM+ Instrument Using Three Global Atmospheric Profiles
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).
Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM+ Instrument Using Three Global Atmospheric Profiles
Skokovic, Drazen (author) / Sobrino, Jose A / Jimenez-Munoz, Juan C
2017
Article (Journal)
English
Local classification TIB:
770/3710/5670
BKL:
38.03
Methoden und Techniken der Geowissenschaften
/
74.41
Luftaufnahmen, Photogrammetrie
Vicarious Calibration of the Formosat-2 Remote Sensing Instrument
| Online Contents | 2010