Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation

doi:10.1016/j.scitotenv.2018.03.202

	Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation
	Yang, Jing 1,2; Hu, Maogui 1,3
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2018-08-15
卷号	633 页码:677-683
关键词	MODIS aerosol product Spatiotemporal correlation Missing AOD data Interpolation
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2018.03.202
通讯作者	Hu, Maogui(humg@lreis.ac.cn)
英文摘要	Aerosol is an important component of the atmosphere that affects the environment, climate, and human health. Remote sensing is an efficient observation method for monitoring global aerosol distribution and changes over time. The daily Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 aerosol optical depth (AOD) (Collection 6) product (10 km resolution) is often used to study climate change and air pollution. However, the product is prone to yielding large amounts of data gaps due to the unfeasibility of retrieving reliable estimates under cloudy conditions, and these data gaps inevitably affect the results and analysis of the product's application. In this study, a geostatistical data interpolation framework based on the spatiotemporal kriging method was implemented to interpolate satellite AOD products in Beijing, China. Compared to the ordinary kriging method for filling data gaps, the spatiotemporal interpolation not only utilizes spatial autocorrelation but also considers the temporal and spatiotemporal autocorrelations between different locations. In the study region, the completeness of the spatiotemporal-interpolated AOD product reaches 67.73%, which is significantly superior to the completeness of the original MODIS product (14.27%) and that of the spatial kriging-interpolated AOD product (33.3%). The cross-validation results show that the mean absolute error of the spatiotemporal kriging results (0.07) is lower than that of the ordinary kriging (0.09). (C) 2018 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[41771434] ; National Natural Science Foundation of China[41531179] ; State Key Laboratory of Resource and Environment Information System[O88RA200YA]
WOS关键词	AEROSOL OPTICAL DEPTH ; CHINA ; PRODUCTS
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000432475300066
资助机构	National Natural Science Foundation of China ; State Key Laboratory of Resource and Environment Information System
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54970]
专题	中国科学院地理科学与资源研究所
通讯作者	Hu, Maogui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Yang, Jing,Hu, Maogui. Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,633:677-683.
APA	Yang, Jing,&Hu, Maogui.(2018).Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation.SCIENCE OF THE TOTAL ENVIRONMENT,633,677-683.
MLA	Yang, Jing,et al."Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation".SCIENCE OF THE TOTAL ENVIRONMENT 633(2018):677-683.