Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation
نویسندگان
چکیده
The particle linear depolarization ratio (PLDR) and single scatter albedo (SSA) in 1020 nm from the Aerosol Robotic Network (AERONET) level 2.0 dataset was utilized among 52 stations to identify dust dominated aerosols (DD), pollution mixture (PDM), strongly absorbing (SA) weakly (WA), investigate their spatial temporal distribution, net radiative forcing efficiency global range, further compare with VIIRS Deep Blue Production. conclusion about suggests that high values of aerosols, both mainly come western Africa. Strongly South Africa India contribute greatly regions relative are located at East Asia India. Lastly, observation satellite monthly averaged products depicts characteristics distribution four kinds aerosol well, result ground-based presents great significant validate measurements remote sensing technology.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13061114