author = "Watanabe, Fernanda and Alc{\^a}ntara, Enner and Curtarelli, 
                         Marcelo and Kampel, Milton and Stech, Jos{\'e} Luiz",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Universidade federal de Santa 
                         Catarina (UFSC)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Landsat-based remote sensing of the colored dissolved organic 
                         matter absorption coefficient in a tropical oligotrophic 
              journal = "Remote Sensing Applications: Society and Environment",
                 year = "2018",
               volume = "9",
                pages = "82--90",
                month = "Jan.",
             keywords = "Remote sensing, Inland water, Water quality, Bio-optical 
             abstract = "Colored dissolved organic matter (CDOM) is a photoactive fraction 
                         of organic carbon that can be detected via remotely sensed data 
                         (proximal and satellite). The retrieval of the absorption 
                         coefficient of CDOM (aCDOM) in reservoirs is important because it 
                         is related to the carbon budget and is a possible source of 
                         greenhouse gas that is emitted from aquatic ecosystems. In this 
                         context, we divided this study into three steps: (1) evaluating 
                         four retrieval algorithms for aquatic CDOM proposed for different 
                         types of waters; (2) recalibrating the algorithms using field 
                         data; and (3) adjusting new algorithms based on Landsat 5 TM 
                         bands. This research aimed to evaluate the use of Landsat 5 TM 
                         images for retrieving aCDOM in oligotrophic inland waters. The 
                         best performing model in the literature exhibited a normalized 
                         root mean square error (NRMSE) value of 29.5% and a mean absolute 
                         percentage error (MAPE) value of 25.4%, showing that some models 
                         proposed for marine water may be applied to specific inland 
                         waters. After recalibration, the best result was NRMSE = 29.9% and 
                         MAPE = 24.8%. The Landsat 5 TM bands yielded accurate results 
                         (NRMSE = 26.2% and MAPE = 33.6%), which indicated the potential 
                         for using Landsat data to monitor the bio-optical properties in 
                         inland waters.",
                  doi = "10.1016/j.rsase.2017.12.004",
                  url = "http://dx.doi.org/10.1016/j.rsase.2017.12.004",
                 issn = "2352-9385",
             language = "en",
           targetfile = "watanabe_landsat.pdf",
        urlaccessdate = "25 nov. 2020"