Journal
REMOTE SENSING
Volume 6, Issue 2, Pages 1587-1604Publisher
MDPI AG
DOI: 10.3390/rs6021587
Keywords
aerosol indices; air pollution; 6S model; MODIS
Categories
Funding
- National 973 Project [2014CB953802]
- 135 Key Planning Cultivation Direction Project of Institute of Remote Sensing and Digital Earth [Y3ZZ15101A]
- Talents Program of the Chinese Academy of Sciences (CAS)
- CEODE-CAS
- National Natural Science Foundation of China [41271382]
- Priority Academic Program Development of Jiangsu Higher Education Institutions, China
Ask authors/readers for more resources
Aerosol optical depth (AOD) is a critical variable in estimating aerosol concentration in the atmosphere, evaluating severity of atmospheric pollution, and studying their impact on climate. With the assistance of the 6S radiative transfer model, we simulated apparent reflectancein relation to AOD in each Moderate Resolution Imaging Spectroradiometer (MODIS) waveband in this study. The closeness of the relationship was used to identify the most and least sensitive MODIS wavebands. These two bands were then used to construct three aerosol indices (difference, ratio, and normalized difference) for estimating AOD quickly and effectively. The three indices were correlated, respectively, with in situ measured AOD at the Aerosol Robotic NETwork (AERONET) Lake Taihu, Beijing, and Xianghe stations. It is found that apparent reflectance of the blue waveband (band 3) is the most sensitive to AOD while the mid-infrared wavelength (band 7) is the least sensitive. The difference aerosol index is the most accurate in indicating aerosol-induced atmospheric pollution with a correlation coefficient of 0.585, 0.860, 0.685, and 0.333 at the Lake Taihu station, 0.721, 0.839, 0.795, and 0.629 at the Beijing station, and 0.778, 0.782, 0.837, and 0.643 at the Xianghe station in spring, summer, autumn and winter, respectively. It is concluded that the newly proposed difference aerosol index can be used effectively to study the level of aerosol-induced air pollution from MODIS satellite imagery with relative ease.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available