An Improved 6S Code for Atmospheric Correction Based on Water Vapor Content

Yin Zhang, Xiaoqin Wang, Yunzhi Chen

Key Laboratory of Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China.

DOI: 10.4236/ars.2012.11002                

Abstract

Water vapor content in the atmosphere is very significant for atmospheric correction of optical remote sensing data. Nowadays, the common atmospheric correction models use a single value of the average water vapor content of the study area to perform atmospheric correction. As the distribution of water vapor content varies greatly with time and space, it is obviously inaccurate to represent the total water vapor conditions of the whole area by just reading the average water vapor content. In this study, we altered the 6S sources so that it could read the water vapor content image which was retrieved from MODIS 1 km data. Atmospheric correction was implemented for the band 1 of MODIS 500 m data pixel-by-pixel using the improved 6S model. In comparison with the traditional 6S model, this improved 6S model is more reasonable in atmospheric correction, for it considers the spatial distribution of the water vapor content retrieved from MODIS data in the near infrared to define the atmospheric conditions for simulating the atmospheric radiative transfer. The results corrected by the improved 6S model showed more reasonable in pixel spatial distribution and closer histogram with the original image than those by traditional 6S model.

Keywords

Atmospheric Correction; 6S Model; Water Vapor Content; MODIS

Conflicts of Interest

The authors declare no conflicts of interest.

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