author = "Kutser, Tiit and Pascual, Gema Casal and Barbosa, Cl{\'a}udio 
                         Clemente Faria and Paavel, Birgot and Ferreira, Renato Martins 
                         Passos and Carvalho, Lino and Tominge, Kaire",
          affiliation = "{University Tartu} and {University Tartu} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {University Tartu} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University Tartu}",
                title = "Mapping inland water carbon content with Landsat 8 data",
              journal = "International Journal of Remote Sensing",
                 year = "2016",
               volume = "37",
               number = "13",
                pages = "2950--2961",
             abstract = "Landsat 8 is the first Earth observation satellite with sufficient 
                         radiometric and spatial resolution to allow global mapping of lake 
                         CDOM and DOC (coloured dissolved organic matter and dissolved 
                         organic carbon, respectively) content. Landsat 8 is a 
                         multispectral sensor however, the number of potentially usable 
                         band ratios, or more sophisticated indices, is limited. In order 
                         to test the suitability of the ratio most commonly used in lake 
                         carbon content mapping, the green-red band ratio, we carried out 
                         fieldwork in Estonian and Brazilian lakes. Several atmospheric 
                         correction methods were also tested in order to use image data 
                         where the image-to-image variability due to illumination 
                         conditions would be minimal. None of the four atmospheric 
                         correction methods tested, produced reflectance spectra that 
                         matched well with in situ measured reflectance. Nevertheless, the 
                         green-red band ratio calculated from the reflectance data was in 
                         correlation with measured CDOM values. In situ data show that 
                         there is a strong correlation between CDOM and DOC concentrations 
                         in Estonian and Brazilian lakes. Thus, mapping the global CDOM and 
                         DOC content from Landsat 8 is plausible but more data from 
                         different parts of the world are needed before decisions can be 
                         made about the accuracy of such global estimation.",
                  doi = "10.1080/01431161.2016.1186852",
                  url = "http://dx.doi.org/10.1080/01431161.2016.1186852",
                 issn = "0143-1161",
             language = "en",
        urlaccessdate = "25 nov. 2020"