Comparison of FLAASH and 6S Code Atmospheric Correction on Snow Cover Detection in Akita Prefecture, Japan Using MODIS Imagery Data

Abstract:

In order to reduce the error, restore the real surface reflectance, in this work, FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) model and 6S (Second Simulation of a Satellite Signal in the Solar Spectrum) code model were used to conduct the atmospheric correction for Terra/MODIS data of Akita prefecture in northeast of Japan. From the results of snow cover detection, the accuracy of without atmospheric correction is only 46%, with FLAASH model for atmospheric correction is 86% and the accuracy of with 6S code model for atmospheric correction is 92%. As experimental results show, compared to the snow cover detection without atmospheric correction, the snow cover detection accuracy was improved by 40% and 46% with FLAASH model and 6S code model for atmospheric correction respectively. In addition, the accuracy with 6S code model is higher about 6% than FLAASH model.

• Periodical: Applied Mechanics and Materials (Volumes 541-542)
• Pages: 1394-1397
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.541-542.1394
• Online since: March 2014
• Authors: Pai Pai Pan*, Kazuki Saruta, Yuki Terata, Guo Yue Chen
• Keywords: 6S Code, Atmospheric Correction, FLAASH, MODIS, Snow Cover

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DOI: 10.1109/tgrs.2012.2227333