A simple ‘clear water’ atmospheric correction algorithm for Landsat-5 sensors. I: A spectral slope-based method

Author: Chen Jun   Quan Wenting   Wen Zhenhe   Cui Tingwei  

Publisher: Taylor & Francis Ltd

ISSN: 1366-5901

Source: International Journal of Remote Sensing, Vol.34, Iss.11, 2013-06, pp. : 3787-3802

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Abstract

An atmospheric correction algorithm (the improved ‘clear water’ atmospheric correction algorithm for broadband (ICAB) sensors, or ‘ICAB’ algorithm) was constructed and tested, and the results are presented in this article. The Rayleigh scattering contributions at three visible bands and one near-infrared (NIR) band were estimated using the look-up table method. The remote-sensing reflectance associated with aerosol scattering at the NIR band was estimated using the ‘clear water’ method. The Ångström exponential model was used to extrapolate the aerosol scattering contribution from the NIR bands into visible bands. The spectral slopes of remote-sensing reflectance between 485 and 560 nm were developed for estimating the exponential coefficient of the Ångstrom exponential model. According to the case study performed in Taihu Lake, China, the results of which are presented in this article, it has been found that the spectral characteristics in shape and magnitude estimated by the ICAB algorithm are quite similar to the typical spectral characteristics of water bodies. The uncertainties of the ICAB algorithm were 7.45%, 10.57%, 13.51%, and 17.14%, respectively, at 485, 560, 660, and 830 nm.