MODIS Aerosol Optical Thickness Product Algorithm Verification and Analysis

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...

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Vydané v:Aerosol and air quality research Ročník 21; číslo 11; s. 210019 - 13
Hlavní autori: He, Yulong, Sun, Lin, Sun, Zhendong, Hu, Xueqian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.11.2021
Taiwan Association of Aerosol Research
Springer
Predmet:
Accuracy
Adaptability
Adaptability analysis
Aerosol optical depth
Aerosol Robotic Network
Aerosols
Algorithms
Atmospheric aerosols
Ground stations
Moderate Resolution Imaging Spectroradiometer
MODIS
Optical analysis
Optical properties
Optical thickness
Original Research
Prior database algorithm
Radiation
Remote sensing
Spectroradiometers
Urban areas
Vegetation
Moderate Resolution Imaging Spectroradiometer
Adaptability analysis
Aerosol optical depth
Prior database algorithm
ISSN:1680-8584, 2071-1409
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1680-8584
2071-1409
DOI:10.4209/aaqr.210019