利用多角度偏振数据反演华北地区灰霾气溶胶

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Abstract For haze aerosol, the retrieval from multi-angle polarized data was studied. Based on ground-based measurements, we simulated multi-angle polarized satellite signal of the haze, and it was shown that by near infrared data, the concentration of heavy haze was recognized well. Then, aimed to multi-angle polarized signal of POLDER3, in consideration of aerosol components of the haze, the haze was retrieved by best fitting method of polarized reflectance. The experiment in Feb. 23, 2010 showed that, by our algorithm, the aerosol optical depth (AOD) of haze can be retrieved well. The AOD of our algorithm from 2009 to 2010 was close to that of ground-based measurements (correlation coefficient was about 0.9), and the retrieval error was about 10%. But AOD of our algorithm was lower than that of ground-based measurements, and the reasons may be the underestimation of coarse particle for multi-angle polarized signal, the dated data of land classification, the assumption that haze signal is linear added by that of aerorol componets, and so on.

Key words： multi-angle polarized haze aerosol remote sensing

Received: 20 June 2016

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X51

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	ZHANG Yu-meng
	WANG Zhong-ting

Cite this article:

ZHANG Yu-meng,WANG Zhong-ting. Haze retrieving over North China Plain from multi-angle polarized data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(2): 460-466.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2017/V37/I2/460

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