MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis

被引:2
|
作者
He, Yulong [1 ]
Sun, Lin [1 ]
Sun, Zhendong [1 ]
Hu, Xueqian [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Aerosol optical depth; Prior database algorithm; Moderate Resolution Imaging Spectroradiometer; Adaptability analysis; COLLECTION; 6; DEPTH; VALIDATION; AERONET; LAND; REFLECTANCE;
D O I
10.4209/aaqr.210019
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical thickness inversion algorithm has been rapidly developed in recent years, forming various representative aerosol optical thickness remote sensing products. Typical inversion algorithms include Dark Target, Dark Target-Deep Blue (DTB), and the high-spatial-resolution aerosol retrieval algorithm based on a priori land surface (HARLS). Both DTB and HARLS can realise aerosol optical depth inversion over land worldwide, but their accuracy and space-time adaptability vary. In this study, 80 Aerosol Robotic Network data worldwide were selected as the evaluation basis to quantitatively analyse and verify the adaptability and accuracy of different aerosol inversion algorithms on various underlying surfaces. The results indicate that the DTB algorithm has a higher inversion accuracy in vegetation area, whereas HARLS algorithm performs better in urban area; the HARLS and DTB algorithm accuracies in desert area type were found to be similar. The results provide a basis for selecting appropriate aerosol optical thickness remote sensing products for different applications.
引用
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页数:13
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