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@Article{FavaretoRKFRDMD:2018:BiChOc,
               author = "Favareto, Luciane Rafaele and Rudorff, Nat{\'a}lia and Kampel, 
                         Milton and Frouin, Robert and R{\"o}ttgers, R{\"y}diger and 
                         Doxaran, David and Murakami, Hiroshi and Dupouy, C{\'e}cile",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of California San 
                         Diego} and {Institute of Coastal Research Helmholtz-Zentrum 
                         Geesthach} and {University of Sorbonne} and {Japan Aerospace 
                         Exploration Agency} and {Aix-Marseille University}",
                title = "Bio-optical characterization and ocean colour inversion in the 
                         Eastern Lagoon of New Caledonia, South Tropical Pacific",
              journal = "Remote Sensing",
                 year = "2018",
               volume = "10",
               number = "7",
                pages = "e1043",
                month = "july",
             keywords = "marine remote sensing reflectance, bio-optical properties, ocean 
                         colour algorithms, eastern lagoon of New Caledonia, Southwest 
                         Tropical Pacific Ocean.",
             abstract = "The Eastern Lagoon of New Caledonia (ELNC) is a semi-enclosed 
                         system surrounded by an extensive coral reef barrier. The system 
                         has been suffering impacts from climate variability and 
                         anthropogenic activities, including mining exploitation. Satellite 
                         monitoring is thus an essential tool to detect such changes. The 
                         present study aimed to assess the bio-optical variability of the 
                         ELNC and examine the applicability of ocean colour algorithms, 
                         using in situ bio-optical and radiometric data, collected during 
                         the March 2014 CALIOPE 2 cruise. The chlorophyll a concentration 
                         (Chla) varied from 0.130.72 mgm\−3 , and the coastal 
                         stations were spectrally dominated by non-algal particles (NAP) 
                         and coloured dissolved organic matter (CDOM) (>80% of the total 
                         non-water absorption at 443 nm), due to the contribution of 
                         allochthonous sources. The phytoplankton specific absorption was 
                         generally lower (mean, 0.049 m2 mg Chla \−1 ) than typical 
                         values observed for the corresponding Chla range, as well as the 
                         spectral slopes of the absorption of CDOM plus NAP (adg) (mean, 
                         0.016 nm\−1 ) and of the particle backscattering 
                         coefficient (bbp) (mean, 0.07 nm\−1 ). The remote sensing 
                         reflectance obtained using two in-water approaches and modelled 
                         from Inherent Optical Properties (IOPs) showed less than 20% 
                         relative percent differences (RPD). Chla estimates were highly 
                         biased for the empirical (OC4 and OC3) and semi-analytical (GSM, 
                         QAA, GIOP, LMI) algorithms, especially at the coastal stations. 
                         Excluding these stations, the GSM01 yielded the best retrievals 
                         with 3540% RPD. adg(443) was well retrieved by all algorithms with 
                         ~18% RPD, and bbp(443) with ~40% RPD. Turbidity algorithms also 
                         performed reasonably well (30% RPD), showing the capacity and 
                         usefulness of the derived products to monitor the water quality of 
                         the ELNC, provided accurate atmospheric correction of the 
                         satellite data. Regionally tuned algorithms may potentially 
                         improve the Chla retrievals, but better parameterization schemes 
                         that consider the spatiotemporal variability of the specific IOPs 
                         are still needed.",
                  doi = "10.3390/rs10071043",
                  url = "http://dx.doi.org/10.3390/rs10071043",
                 issn = "2072-4292",
             language = "en",
           targetfile = "favareto_bio.pdf",
        urlaccessdate = "30 nov. 2020"
}


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