Spatiotemporal Variation of Aerosol Optical Depth Based on 3-D Spatiotemporal Interpolation

被引：0
|
作者：
Zhang, Lei [1 ,2 ]
Zhang, Ming [3 ]
机构：
[1] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China
[2] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[3] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷
基金：
中国国家自然科学基金;
关键词：
Interpolation; Spatiotemporal phenomena; MODIS; Aerosols; Time series analysis; Correlation; Optical imaging; 3-D spatiotemporal interpolation; aerosol optical depth (AOD); Beijing-Tianjin-Hebei urban agglomeration (BTHUA); 2; DECADES; MODIS; CHINA; AOD;
D O I：
10.1109/LGRS.2021.3120105
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
To solve the problem of low coverage of MODIS aerosol optical depth (AOD) products, this letter proposes a 3-D spatiotemporal interpolation method to predict missing values for time series AOD products. In this study, ordinary Kriging interpolation and 3-D spatiotemporal interpolation are applied to analyze the dynamics of AOD in Beijing-Tianjin-Hebei urban agglomeration (BTHUA), China, and the performances of the two methods are compared. The results show that the 3-D spatiotemporal interpolation has a better performance in predicting missing data of AOD products. The proposed interpolation method provides a feasible solution for the establishment of long-term MODIS aerosol products with temporal and spatial consistency, and also provides effective data support for the study of urban environmental changes.
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页数：5
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