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Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.041101
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 11, 2015.
Abstract: Vicarious calibration data screening method based on the measured atmospheric optical depth and the variance of the measured surface reflectance at the test sites is proposed. Reliability of the various calibration data has to be improved. In order to improve the reliability of the vicarious calibration data, some screenings have to be made. Through experimental study, it is found that vicarious calibration data screening would be better to apply with the measured atmospheric optical depth and variance of the measured surface reflectance due to the facts that thick atmospheric optical depth means that the atmosphere contains serious pollution sometime and that large deviation of the surface reflectance from the average means that the solar irradiance has an influence due to cirrus type of clouds. As the results of the screening, the uncertainty of vicarious calibration data from the approximated radiometric calibration coefficient is remarkably improved. Also, it is found that cross calibration uncertainty is poorer than that of vicarious calibration.
Kohei Arai, “Vicarious Calibration Data Screening Method Based on Variance of Surface Reflectance and Atmospheric Optical Depth Together with Cross Calibration” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(11), 2015. http://dx.doi.org/10.14569/IJARAI.2015.041101