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@Article{RudorffFrKaGoMeScMi:2014:AcReSe,
               author = "Rudorff, Nat{\'a}lia de Moraes and Frouin, Robert and Kampel, 
                         Milton and Goyens, Clemence and Meriaux, Xavier and Schieber, 
                         Brian and Mitchell, B. Greg",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Scripps 
                         Institution of Oceanography, University of California San Diego, 
                         La Jolla Shores Drive, La Jolla, CA 92037, United States and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and Laboratoire 
                         d'Oc{\'e}anologie et de G{\'e}osciences, Universit{\'e} du 
                         Littoral-C{\^O}te d'Opale, 32 Avenue Foch, 62930 Wimereux, France 
                         and Laboratoire d'Oc{\'e}anologie et de G{\'e}osciences, 
                         Universit{\'e} du Littoral-C{\^O}te d'Opale, 32 Avenue Foch, 
                         62930 Wimereux, France and Scripps Institution of Oceanography, 
                         University of California San Diego, La Jolla Shores Drive, La 
                         Jolla, CA 92037, United States and Scripps Institution of 
                         Oceanography, University of California San Diego, La Jolla Shores 
                         Drive, La Jolla, CA 92037, United States",
                title = "Ocean-color radiometry across the Southern Atlantic and 
                         Southeastern Pacific: Accuracy and remote sensing implications",
              journal = "Remote Sensing of Environment",
                 year = "2014",
               volume = "149",
                pages = "13--32",
                month = "June",
             keywords = "Algorithms, Color, Oceanography, Radiometry, Reflection, Remote 
                         sensing, Biooptics, Ocean color, R/V Melville MV1102 cruise, 
                         Southeastern Pacific, Southern Atlantic, Uncertainty analysis.",
             abstract = "Ocean color radiometry (OCR) provides valuable data for 
                         biogeochemical oceanography. In situ OCR measurements are used in 
                         the development and validation of bio-optical models and vicarious 
                         calibration of satellite ocean-color sensors. It is thus crucial 
                         to obtain accurate in situ OCR measurements, which is a challenge, 
                         especially in regions subjected to adverse environmental 
                         conditions and where waters are optically complex. In the present 
                         work, the accuracy of in situ OCR is analyzed with data acquired 
                         in a wide range of bio-geographic provinces across the Southern 
                         Atlantic and Southeastern Pacific during the R/V Melville MV1102 
                         cruise. Varied techniques employed to measure above-water remote 
                         sensing reflectance (Rrs) are inter-compared. Measured Rrs is also 
                         compared with modeled Rrs in a closure experiment. The impact of 
                         Rrs uncertainties on the retrieval of chlorophyll a concentration 
                         (Chla) and inherent optical properties (IOPs) is evaluated using 
                         operational bio-optical algorithms. The relative percent 
                         difference (RPD) between Rrs measured by the various techniques 
                         ranged from 12 to 26% for the ocean-color bands (412-555nm), and 
                         3-12% for the ratios (412-510/555). A merged Rrs obtained by 
                         averaging the different types of measurements, INS, is recommended 
                         to reduce uncertainties. The coefficient of variation of INS and 
                         reflectance ratios was 11-13% and 3-5%, respectively. The RPD 
                         between INS and modeled Rrs and the corresponding ratios ranged 
                         from 18 to 34% and from 13 to 17%, respectively. Complete closure 
                         could not be obtained due to both measurement and modeling 
                         uncertainties. The impact of INS uncertainties on retrieved Chla 
                         and IOPs was generally smaller than the intrinsic errors of the 
                         inversion schemes. The results suggest that even though more 
                         accurate ocean-color radiometry is desirable, improving retrieval 
                         algorithms is essential to properly describing and furthering our 
                         understanding of bio-optical variability in the world's oceans.  
                         2014 Elsevier Inc.",
                  doi = "10.1016/j.rse.2014.03.029",
                  url = "http://dx.doi.org/10.1016/j.rse.2014.03.029",
                 issn = "0034-4257",
                label = "scopus 2014-05 MoraesRudorffFrKaGoMeScMi:2014:AcReSe",
             language = "en",
           targetfile = "1-s2.0-S0034425714001151-main.pdf",
                  url = "http://dx.doi.org/10.1016/j.rse.2014.03.029",
        urlaccessdate = "01 dez. 2020"
}


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