Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models

doi:10.1109/TGRS.2020.3048109

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室

	Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models
	Tian, Xinpeng 3,4,5; Liu, Qiang 2; Gao, Zhiqiang 3,4,5; Wang, Yueqi 3,4,5; Li, Xiuhong 2; Wei, Jing 1
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2021-12-01
卷号	59 期号:12 页码:9851-9860
关键词	Aerosol optical depth (AOD) a priori knowledge kernel-driven BRDF model surface anisotropy
ISSN号	0196-2892
DOI	10.1109/TGRS.2020.3048109
通讯作者	Liu, Qiang(toliuqiang@bnu.edu.cn) ; Wei, Jing(weijing_rs@163.com)
英文摘要	The retrieval of aerosol properties over land from satellite sensors has always been a challenge. At present, several different algorithms for retrieving aerosol optical depth (AOD) have been developed from different satellite sensors. While each algorithm has its own advantages, the accuracy of AOD retrieval still needs to be further improved. To improve the retrieval accuracy of aerosol algorithms, it is necessary to provide a better method to describe the surface properties. In the current study, a new aerosol retrieval algorithm for Moderate Resolution Imaging Spectroradiometer (MODIS) images at a high spatial resolution of 500 m is proposed based on a priori bidirectional reflectance distribution function (BRDF) shape parameters database, which is reconstructed via the 3-D discrete cosine transform (DCT-PLS) method. Then, the surface reflectances are calculated from BRDF model (i.e., RossThick-LiSparse), and a non-Lambertian forward model used to describe the surface anisotropy. The new algorithm is used for processing the MODIS over the Beijing-Tianjin-Hebei of China, and Southeastern United States of America regions, and results are validated against AERONET AOD measurements as well as compared with the MODIS AOD products. The comparison showed that the estimation scheme of surface reflectance in this new algorithm significantly improved the AOD retrievals accuracy, with average correlation coefficient similar to 0.965 and root-mean-square error similar to 0.125; the number of AOD retrievals falling within expected error has increased to similar to 80.1%, and the overestimation uncertainty has been reduced compared with MODIS products. Due to the high spatial resolution and continuous spatial distributions of the AOD retrievals by the new algorithm, therefore, it can well-captured aerosol details over mixed surfaces and better useful for air pollution studies than the MODIS products at local and urban scales.
WOS关键词	OPTICAL DEPTH ; GLOBAL EVALUATION ; ALGORITHM ; RETRIEVAL ; POLLUTION ; PRODUCTS ; IMAGES
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
WOS记录号	WOS:000722170500008
资助机构	Shandong Provincial Natural Science Foundation, China ; Key Program of Shandong Natural Science Foundation ; National Natural Science Foundation of China ; NSFC-Shandong joint fund project ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/30935]
专题	烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者	Liu, Qiang; Wei, Jing
作者单位	1.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Dept Atmospher & Ocean Sci, College Pk, MD 20740 USA 2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Ctr Megasci, Qingdao 266071, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 5.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
推荐引用方式 GB/T 7714	Tian, Xinpeng,Liu, Qiang,Gao, Zhiqiang,et al. Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(12):9851-9860.
APA	Tian, Xinpeng,Liu, Qiang,Gao, Zhiqiang,Wang, Yueqi,Li, Xiuhong,&Wei, Jing.(2021).Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(12),9851-9860.
MLA	Tian, Xinpeng,et al."Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.12(2021):9851-9860.