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Journal of Applied Remote Sensing

Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table
Author(s): Yan Peng; Guojin He; Zhaoming Zhang; Tengfei Long; Mengmeng Wang; Saiguang Ling
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Paper Abstract

Atmospheric correction is a necessary step for deriving surface geophysical parameters. The aim of this paper is to study the atmospheric correction of Landsat-8 imageries released by the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. A look-up table (LUT)-based atmospheric correction method on Landsat-8 OLI is proposed. The LUT is generated with 6S model with inputs including total atmospheric water vapor content, ozone, and aerosol optical thickness (AOT) from MODIS atmospheric level 2 products. The conventional method to build up the atmospheric parameter LUT usually only takes part of the factors (e.g., AOT) into consideration, whereas it is not applicable in the atmospheric correction using per pixel of MODIS products as input atmospheric parameters. Thus, a five-dimensional LUT, which considers most input parameters, is built up and has high universality for the Landsat-8 OLI sensor. Finally, spectral analysis, comparison to U.S. Geological Survey-released surface reflectance (SR) products, and field observations are used to validate the quality of the model-computed SR. The validation results indicate that the proposed method can effectively generate accurate and reliable SR results, although there is an overcorrected problem in the costal blue region when the AOT value is very high.

Paper Details

Date Published: 14 October 2016
PDF: 13 pages
J. Appl. Remote Sens. 10(4) 045006 doi: 10.1117/1.JRS.10.045006
Published in: Journal of Applied Remote Sensing Volume 10, Issue 4
Show Author Affiliations
Yan Peng, Institute of Remote Sensing and Digital Earth (China)
Guojin He, Institute of Remote Sensing and Digital Earth (China)
Zhaoming Zhang, Institute of Remote Sensing and Digital Earth (China)
Tengfei Long, Institute of Remote Sensing and Digital Earth (China)
Mengmeng Wang, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Saiguang Ling, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)


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