4.6 Article

Detection of haze and its intensity based on visibility and relative humidity estimated from MODIS data

期刊

INTERNATIONAL JOURNAL OF REMOTE SENSING
卷 38, 期 23, 页码 7085-7100

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2017.1371866

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资金

  1. National 973 Project [2014CB953802]
  2. National Natural Science Foundation of China [41671428]
  3. '135' Key Planning Cultivation Direction Project of Institute of Remote Sensing and Digital Earth [Y3ZZ15101A]
  4. Talents Program of the Chinese Academy of Sciences (CAS) 'Drought and derivative disaster remote sensing and assessment under global change'
  5. CEODE-CAS Funding 'Multi-source remote sensing aerosolcloud interactions and impacts on precipitation'
  6. Academic Program Development of Jiangsu Higher Education Institutions, China

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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.

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