@InProceedings{SchumacherSetz:2023:EvVIAe,
               author = "Schumacher, Vanucia and Setzer, Alberto Waingort",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Evaluation of VIIRS Aerosol Optical Depth Retrievals under 
                         Distinct Aerosol Scenarios over the Amazon Basin",
            booktitle = "Proceedings...",
                 year = "2023",
         organization = "AGU FAll Meeting",
            publisher = "AGU",
             abstract = "Retrieval accuracy and comparison of aerosol optical depth (AOD) 
                         products of Visible Infrared Imaging Radiometer Suite (VIIRS) Deep 
                         Blue (DB) were evaluated over the Amazon Basin under dry and wet 
                         seasons. Performance and uncertainty also were evaluated under 
                         distinct aerosol types, loading, particle size, and surface 
                         vegetation coverage scenarios against 9 Aerosol Robotic Network 
                         (AERONET) sites from the year 20122022. Results showed that VIIRS 
                         AOD products agree with AERONET measurements with 78% of AOD 
                         matchups falling within the envelope of Expected Error (EE), with 
                         71% and 84% in the dry and wet seasons, respectively. The aerosol 
                         types indicated a dominance of clean conditions and anthropogenic 
                         aerosols in the dry season, while in the wet season clean 
                         conditions and clean maritime types predominate, with better 
                         accuracy in the wet season (EE>83%). VIIRS AOD accuracy under 
                         aerosol loading and particle size distributions presented the best 
                         accuracy over grassland and mixed land cover types in contrast to 
                         inefficient retrievals obtained over dark vegetated surfaces. The 
                         better performance is achieved under low AOD loading conditions 
                         and mixed-size particles for both dry and wet seasons. We showed 
                         that uncertainty increased under high elevations, and when coarse 
                         particles were dominant with widespread AOD underestimates, while 
                         overestimates occurred with grassland and mixed land cover types. 
                         Overall, the accuracy of VIIRS algorithms requires further 
                         improvements under high elevation, coarse particle size, and 
                         vegetated surface coverage over the Amazon Basin.",
  conference-location = "San Francisco, CA",
      conference-year = "11-15 Dec. 2023",
             language = "en",
           targetfile = "1-s2.0-S1352231024000736-main.pdf",
        urlaccessdate = "30 abr. 2024"
}