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Journal of Applied Remote Sensing

Haze detection by using modified normalized difference haze index in Beijing, Tianjin, and Hebei province
Author(s): Xinlei Han; Fengmei Yao; Jiahua Zhang; Mirza Muhammad Waqar; Yong Zha; Junliang He
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Paper Abstract

This paper presents the development of index to detect haze from moderate resolution imaging spectroradiometer remote sensing data. Detection of haze over a large area has always been a problem. This study focuses on Beijing, Tianjin, and Shijiazhuang cities in China. These cities have suffered the worst hazy weather in recent years. The spectral influence of haze on surface features was determined through analysis of the spectral variations of surface covers between hazy and haze-free days. A spectral index known as modified normalized difference haze index (m-NDHI) is developed that can be used to monitor haze distribution and intensity. Correlation analysis of the derived m-NDHI and previously developed NDHI with in situPM2.5 (particulate matter with diameter <2.5  μm) data reveals that m-NDHI over water bodies has a coefficient of 0.7096, 0.5864, and 0.4857 and NDHI has coefficient of 0.5625, 0.5321, and 0.4618 with PM2.5 for Beijing, Tianjin, and Shijiazhuang, respectively, in winter. Moreover, the correlation of m-NDHI with PM2.5 is 0.4097, 0.8092, and 0.5546 during the spring, summer, and autumn, respectively, in Beijing. This developed index can be a much easier and more effective method to detect haze in large scales from remotely sensing data and characterize the situation of urban atmospheric pollution.

Paper Details

Date Published: 20 June 2016
PDF: 13 pages
J. Appl. Rem. Sens. 10(2) 025025 doi: 10.1117/1.JRS.10.025025
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Xinlei Han, Univ. of Chinese Academy of Sciences (China)
Fengmei Yao, University of Chinese Academy of Sciences (China)
Jiahua Zhang, Institute of Remote Sensing and Digital Earth (China)
Mirza Muhammad Waqar, Institute of Remote Sensing and Digital Earth (China)
Yong Zha, Nanjing Normal Univ. (China)
Junliang He, Shijiazhuang Univ. of Economics (China)

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