Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors

Geoscience and Remote Sensing, IEEE Transactions(2014)

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摘要
This work describes the radiometric calibration of the short-wave infrared (SWIR) bands of two instruments aboard the Greenhouse gases Observing SATellite (GOSAT), the Thermal And Near infrared Sensor for carbon Observations Fourier Transform Spectrometer (TANSO-FTS) and the Cloud and Aerosol Imager (TANSO-CAI). Four vicarious calibration campaigns (VCCs) have been performed annually since June 2009 at Railroad Valley, NV, USA, to estimate changes in the radiometric response of both sensors. While the 2009 campaign ( VCC2009) indicated significant initial degradation in the sensors compared to the prelaunch values, the results presented here show that the stability of the sensors has improved with time. The largest changes were seen in the 0.76 μm oxygen A-band for TANSO-FTS and in the 0.380 and 0.674 μm bands for TANSO-CAI. This paper describes techniques used to optimize the vicarious calibration of the GOSAT SWIR sensors. We discuss error reductions, relative to previous work, achieved by using higher quality and more comprehensive in situ measurements and proper selection of reference remote sensing products from the Moderate Resolution Imaging Spectroradiometer used in radiative transfer calculations to model top-of-the-atmosphere radiances. In addition, we present new estimates of TANSO-FTS radiometric degradation factors derived by combining the new vicarious calibration results with the time-dependent model provided by Yoshida (2012), which is based on analysis of on-board solar diffuser data. We conclude that this combined model provides a robust correction for TANSO-FTS Level 1B spectra. A detailed error budget for TANSO-FTS vicarious calibration is also provided.
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Fourier transform spectrometers,aerosols,air pollution,atmospheric measuring apparatus,atmospheric radiation,calibration,clouds,data analysis,oxygen,radiative transfer,radiometry,remote sensing,AD 2009 01,Fourier transform spectrometer,GOSAT SWIR sensors,GOSAT aboard instruments,GOSAT short-wave sensors,Nevada,Railroad Valley,SWIR band,TANSO-CAI band,TANSO-FTS level 1B spectra correction,TANSO-FTS radiometric degradation factors,TANSO-FTS vicarious calibration,USA,VCC,cloud and aerosol imager,comprehensive in situ measurement,error budget,error reduction techniques,error reductions,greenhouse gases observing satellite,higher quality measurement,initial sensor degradation,long-term vicarious calibration campaign,moderate resolution imaging spectroradiometer,on-board solar diffuser data analysis,oxygen A-band,prelaunch values,proper reference remote sensing product selection,radiative transfer calculations,radiometric calibration,radiometric degradation factor estimation,radiometric response change estimation,sensor stability,short-wave infrared band,thermal and near infrared sensor for carbon observations,time-dependent model,top-of-the-atmosphere radiance model,Carbon dioxide (CO2),Carbon dioxide $(hbox{CO}_{2})$,Greenhouse gases Observing SATellite (GOSAT),Thermal And Near infrared Sensor for carbon Observations (TANSO),short-wave infrared (SWIR),vicarious calibration
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