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

被引：1

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.

引用

页数：5

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