Uncertainty analysis of vicarious radiometric calibration of optical sensor using a Monte Carlo statistical approach

Yaokai Liu; Lingling Ma; Ning Wang; Yonggang Zhao; Caixia Gao; Chuanrong Li; Lingli Tang

doi:10.1117/12.2527979

9 September 2019 Uncertainty analysis of vicarious radiometric calibration of optical sensor using a Monte Carlo statistical approach

Yaokai Liu, Lingling Ma, Ning Wang, Yonggang Zhao, Caixia Gao, Chuanrong Li, Lingli Tang

Author Affiliations +

Proceedings Volume 11127, Earth Observing Systems XXIV; 111271O (2019) https://doi.org/10.1117/12.2527979
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

In this study, a Monte Carlo statistical approach based on radiative transfer simulation is presented to determine the uncertainty of the absolute vicarious calibration of optical sensor. The uncertainties associated with the aerosol optical thickness at 550 nm (AOT@550 nm), columnar water vapor, surface reflectance (radiometric calibration of ground spectroradiometer and bidirectional reflectance distribution), water vapor content, solar irradiance, radiative transfer model and so on are considered in our study. Preliminary results show that the overall uncertainties of the TOA reflectance in function of the spectral bands is about 3.5% to 5% from 500nm to 900nm.

Citation Download Citation

Yaokai Liu, Lingling Ma, Ning Wang, Yonggang Zhao, Caixia Gao, Chuanrong Li, and Lingli Tang "Uncertainty analysis of vicarious radiometric calibration of optical sensor using a Monte Carlo statistical approach", Proc. SPIE 11127, Earth Observing Systems XXIV, 111271O (9 September 2019); https://doi.org/10.1117/12.2527979

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