@Article{WatanabeAlRoImBaRo:2015:EsChCo,
               author = "Watanabe, Fernanda Sayuri Yoshino and Alc{\^a}ntara, Enner and 
                         Rodrigues, Thanan Walesza Pequeno and Imai, Nilton Nobuhiro and 
                         Barbosa, Claudio Clemente Faria and Rotta, Luiz Henrique da 
                         Silva",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Universidade Estadual Paulista 
                         (UNESP)} and {Universidade Estadual Paulista (UNESP)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual Paulista (UNESP)}",
                title = "Estimation of chlorophyll-a concentration and the trophic state of 
                         the Barra Bonita hydroelectric reservoir using OLI/Landsat-8 
                         images",
              journal = "International Journal of Environmental Research and Public 
                         Health",
                 year = "2015",
               volume = "2015",
               number = "12",
                pages = "9",
                month = "Aug.",
             keywords = "Bio-optical models, Case-2 waters, Chlorophyll-a, Multispectral 
                         image, Remote sensing.",
             abstract = "Reservoirs are artificial environments built by humans, and the 
                         impacts of these environments are not completely known. Retention 
                         time and high nutrient availability in the water increases the 
                         eutrophic level. Eutrophication is directly correlated to primary 
                         productivity by phytoplankton. These organisms have an important 
                         role in the environment. However, high concentrations of 
                         determined species can lead to public health problems. Species of 
                         cyanobacteria produce toxins that in determined concentrations can 
                         cause serious diseases in the liver and nervous system, which 
                         could lead to death. Phytoplankton has photoactive pigments that 
                         can be used to identify these toxins. Thus, remote sensing data is 
                         a viable alternative for mapping these pigments, and consequently, 
                         the trophic. Chlorophyll-a (Chl-a) is present in all phytoplankton 
                         species. Therefore, the aim of this work was to evaluate the 
                         performance of images of the sensor Operational Land Imager (OLI) 
                         onboard the Landsat-8 satellite in determining Chl-a 
                         concentrations and estimating the trophic level in a tropical 
                         reservoir. Empirical models were fitted using data from two field 
                         surveys conducted in May and October 2014 (Austral Autumn and 
                         Austral Spring, respectively). Models were applied in a temporal 
                         series of OLI images from May 2013 to October 2014. The estimated 
                         Chl-a concentration was used to classify the trophic level from a 
                         trophic state index that adopted the concentration of this 
                         pigment-like parameter. The models of Chl-a concentration showed 
                         reasonable results, but their performance was likely impaired by 
                         the atmospheric correction. Consequently, the trophic level 
                         classification also did not obtain better results.",
                  doi = "10.3390/ijerph120910391",
                  url = "http://dx.doi.org/10.3390/ijerph120910391",
                 issn = "1661-7827 and 1660-4601",
             language = "en",
           targetfile = "watanabe_estimation.pdf",
        urlaccessdate = "25 abr. 2024"
}