Remote Sensing | |
Aerosol Indices Derived from MODIS Data for Indicating Aerosol-Induced Air Pollution | |
Junliang He1  Yong Zha1  Jiahua Zhang2  | |
[1]Key Laboratory of Virtual Geographic Environment, Ministry of Education, College of Geographic Science, Nanjing Normal University, Nanjing 210097, |
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[2] E-Mail: | |
[3]Lab. of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, |
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关键词: aerosol indices; air pollution; 6S model; MODIS; | |
DOI : 10.3390/rs6021587 | |
来源: mdpi | |
【 摘 要 】
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
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190028956ZK.pdf | 1144KB | download |