Retrieving fog physical parameters becomes one of the major hot spots of study in recent years based on remote sensing data. The visibility, top height of fog, effective particle radius, and liquid water path (LWP) of fog are the fundamental physical parameters for fog monitoring. In this study, the authors retrieved fog physical parameters from southwest Jiangsu Province according to the path model of fog radioactive phenomena and SBDART based on the MODIS images. The authors verified the visibility and top height of fog according to the data from the Nanjing Information Engineering University and analyzed the influencing factors for the changes of physical parameters. The results showed that the correlation coefficient of visibility and top height of fog was 0.908 3 and 0.980 7, indicating that the retrieval of remote sensing data was feasible. The study also found positive correlations between the fog physical parameters,the surface elevation and vegetation index. The vegetation index was negatively correlated with the radius and optical depth and positively correlated with the liquid water. There was a positively correlation between the visibility and the surface elevation.
马慧云, 赵国庆, 邹峥嵘, 张伟康. 基于MODIS数据验证分析雾参数反演算法和影响因素[J]. 国土资源遥感, 2017, 29(1): 122-128.
MA Huiyun, ZHAO Guoqing, ZOU Zhengrong, ZHANG Weikang. Verification of the retrieval algorithm and analysis of influencing factors of fog physical parameters based on MODIS data. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 122-128.
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2017, Vol. 29 
