Paper Info
Title
A Layer Removal Scheme for Atmospheric Correction of Satellite Ocean Color Data in Coastal Regions
Abstract
The radiance received by satellite sensors viewing the ocean is a mixed signal of the atmosphere and ocean. Accurate decomposition of the radiance components is crucial because any inclusion of atmospheric signal in the water-leaving radiance leads to an incorrect estimation of the oceanic parameters. This is especially true over the turbid coastal waters, where the estimation of the radiance components is difficult. A layer removal scheme for atmospheric correction (LRSAC) has been developed to take the atmospheric and oceanic components as the layer structure according to the sunlight passing in the Sun-Earth-satellite system. Compared with the normal coupled atmospheric column, the uncertainty of the layer structure of Rayleigh and aerosols has a relatively small error with a mean relative error (MRE) of 0.063%. As the aerosol layer was put between Rayleigh and ocean, a new Rayleigh lookup table (LUT) was regenerated using 6SV (Second Simulation of a Satellite Signal in the Solar Spectrum, Vector version 3.2) based on the zero reflectance at the ground to produce the pure Rayleigh reflectance without the Rayleigh-ocean interaction. The accuracy of the LRSAC was validated by in situ water-leaving reflectance, obtaining an MRE of 6.3%, a root-mean-square error (RMSE) of 0.0028, and the mean correlation coefficient of 0.86 based on 430 matchup pairs over the East China Sea. Results show that the LRSAC can be used to decompose the reflectance at the top of each layer for the atmospheric correction over turbid coastal waters.
Year
DOI
Venue
2021
10.1109/TGRS.2020.2997971
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Aerosol reflectance,atmospheric correction,layer removal scheme for atmospheric correction (LRSAC) model,ocean color,Rayleigh reflectance,satellite remote sensing
Journal
59
Issue
ISSN
Citations 
2
0196-2892
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Zhihua Mao1149.52
Bangyi Tao231.63
Jianyu Chen3176.41
Chen Peng415436.87
zengzhou hao522.61
Qiankun Zhu6145.01
Haiqing Huang723.18