MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis
Abstract 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–D...
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| Format: | Article |
| Language: | English |
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Springer
2021-08-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.210019 |
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| _version_ | 1825197536770523136 |
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| author | Yulong He Lin Sun Zhendong Sun Xueqian Hu |
| author_facet | Yulong He Lin Sun Zhendong Sun Xueqian Hu |
| author_sort | Yulong He |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-c6bbaf935295406cae694b15b1b659e3 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-c6bbaf935295406cae694b15b1b659e32025-02-09T12:20:37ZengSpringerAerosol and Air Quality Research1680-85842071-14092021-08-01211111310.4209/aaqr.210019MODIS Aerosol Optical Thickness Product Algorithm Verification and AnalysisYulong He0Lin Sun1Zhendong Sun2Xueqian Hu3College of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyAbstract 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.https://doi.org/10.4209/aaqr.210019Aerosol optical depthPrior database algorithmModerate Resolution Imaging SpectroradiometerAdaptability analysis |
| spellingShingle | Yulong He Lin Sun Zhendong Sun Xueqian Hu MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis Aerosol and Air Quality Research Aerosol optical depth Prior database algorithm Moderate Resolution Imaging Spectroradiometer Adaptability analysis |
| title | MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis |
| title_full | MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis |
| title_fullStr | MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis |
| title_full_unstemmed | MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis |
| title_short | MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis |
| title_sort | modis aerosol optical thickness product algorithm verification and analysis |
| topic | Aerosol optical depth Prior database algorithm Moderate Resolution Imaging Spectroradiometer Adaptability analysis |
| url | https://doi.org/10.4209/aaqr.210019 |
| work_keys_str_mv | AT yulonghe modisaerosolopticalthicknessproductalgorithmverificationandanalysis AT linsun modisaerosolopticalthicknessproductalgorithmverificationandanalysis AT zhendongsun modisaerosolopticalthicknessproductalgorithmverificationandanalysis AT xueqianhu modisaerosolopticalthicknessproductalgorithmverificationandanalysis |