Detection of haze and its intensity based on visibility and relative humidity estimated from MODIS data. Issue 23 (2nd December 2017)

• Record Type: Journal Article
• Authors: Liu, Song; Zha, Yong; Zhang, Jiahua; Gao, Jay; Zhang, Qianqian
• Is Part Of: International journal of remote sensing. Volume 38:Issue 23(2017)
• Page Start: 7085
• Page End: 7100
• Publication Date: 2017-12-02
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2017.1371866
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: Over recent years, air pollution has become a serious environmental problem with frequent occurrence of hazy days in many Chinese cities. In this study, a satellite-based method was developed to detect haze and its intensity for the Chinese city of Nanjing. This detection was based on the joint consideration of two indices, visibility, and relative humidity. They were determined from the Moderate Resolution Imaging Spectroradiometer-derived aerosol optical thickness, surface temperature, and precipitable water vapour data. Evaluated against the in situ measured results, haze and its intensity were found to be detected at a maximum accuracy of 81.7% and 60%, respectively. Of the two indices, visibility plays a more important role than relative humidity in affecting the detection accuracy. It is concluded that it is feasible to detect haze and its intensity from satellite data.