@Article{PahlevanBBOAMHOG:2024:ReAnRe,
               author = "Pahlevan, Nima and Balasubramanian, Sundarabalan and Begeman, 
                         Christopher C. and O'Shea, Ryan E. and Ashapure, Akash and Maciel, 
                         Daniel Andrade and Hall, Dorothy K. and Odermatt, Daniel and 
                         Giardino, Claudia",
          affiliation = "{The Nasa Goddard Space Flight Center} and {University of Maryland 
                         Baltimore County} and {The Nasa Goddard Space Flight Center} and 
                         {The Nasa Goddard Space Flight Center} and {The Nasa Goddard Space 
                         Flight Center} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {University of Maryland} and {Swiss Federal Institute 
                         of Aquatic Science and Technology} and {National Research Council 
                         of Italy}",
                title = "A Retrospective Analysis of Remote-Sensing Reflectance Products in 
                         Coastal and Inland Waters",
              journal = "IEEE Geoscience and Remote Sensing Letters",
                 year = "2024",
               volume = "21",
                pages = "e1501205",
             keywords = "Coastal and inland waters, freshwater ecosystems, medium 
                         resolution imaging spectrometer (MERIS), moderate resolution 
                         imaging spectroradiometer (MODIS), ocean color (OC), remote 
                         sensing reflectance, validation, visible infrared imaging 
                         radiometer suite (VIIRS).",
             abstract = "Constructing a robust ocean color (OC) record (e.g., water 
                         transparency, phytoplankton absorption) for long-term assessments 
                         of coastal and inland water ecosystems from past, present, and 
                         future missions requires high-quality spectral remote sensing 
                         reflectance (Rrs) products. Using the GLORIA dataset (Lehmann et 
                         al., 2023), we evaluated the quality of Rrs products from the 
                         moderate resolution imaging spectroradiometer (MODIS on Terra and 
                         Aqua), medium resolution imaging spectrometer (MERIS), and visible 
                         infrared imaging radiometer suite (VIIRS) processed via the 
                         two-band heritage atmospheric correction method (a combination of 
                         near-infrared and shortwave infrared bands) available in the 
                         SeaWiFS Analysis Data Analysis System (SeaDAS). Overall, retrieval 
                         residuals are consistent within a few percentages among the four 
                         missions. Median residuals ranged from ~ 20% in the ~ 550-nm band 
                         to > 60% in the ~ 412-nm bands. Spectrally averaged root mean 
                         squared differences for all the missions were ~ 0.0024 sr-1 with 
                         one standard deviation of ~ 0.001 sr-1. The corresponding (median) 
                         biases in the visible bands varied from -60% to -3%, with the 
                         largest biases identified in MERIS and VIIRS products. Despite the 
                         lower sensitivity of band-ratio algorithms to residuals in 
                         specific spectral regions [e.g., OC3 chlorophyll-a algorithm is 
                         less prone to residuals in Rrs (\λ >600 nm)], other 
                         algorithms or downstream products that leverage all the visible 
                         bands are highly compromised. We underscore the need to improve 
                         the quality of Rrs products, thereby enabling the reconstruction 
                         of baseline OC products of high caliber in global coastal and 
                         inland waters that are often near human activity.",
                  doi = "10.1109/LGRS.2024.3351328",
                  url = "http://dx.doi.org/10.1109/LGRS.2024.3351328",
                 issn = "1545-598X",
             language = "en",
           targetfile = "
                         
                         A_Retrospective_Analysis_of_Remote-Sensing_Reflectance_Products_in_Coastal_and_Inland_Waters.pdf",
        urlaccessdate = "17 maio 2024"
}