@Article{OgashawaraAlcâStecTund:2014:CyDeGu,
               author = "Ogashawara, Igor and Alc{\^a}ntara, E. H. de and Stech, Jos{\'e} 
                         Luiz and Tundisi, J. G.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         Universidade Estadual Paulista 'J{\'u}lio de Mesquita Filho' 
                         (UNESP), Departamento de Cartografia, Presidente Prudente, SP, 
                         Brazil and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         Instituto Internacional de Ecologia, S{\~a}o Carlos, SP, Brazil",
                title = "Cyanobacteria detection in Guarapiranga reservoir (S{\~a}o Paulo 
                         state, Brazil) using landsat TM and ETM+ images / 
                         Detec{\c{c}}{\~a}o de cianobact{\'e}rias no reservat{\'o}rio 
                         de Guarapiranga (estado de S{\~a}o Paulo, Brasil) utilizando 
                         imagens landsat TM e ETM+",
              journal = "Revista Ambiente \& {\'A}gua",
                 year = "2014",
               volume = "9",
               number = "2",
                pages = "224--238",
             abstract = "Algae bloom is one of the major consequences of the eutrophication 
                         of aquatic systems, including algae capable of producing toxic 
                         substances. Among these are several species of cyanobacteria, also 
                         known as blue-green algae, that have the capacity to adapt 
                         themselves to changes in the water column. Thus, the horizontal 
                         distribution of cyanobacteria harmful algae blooms (CHABs) is 
                         essential, not only to the environment, but also for public 
                         health. The use of remote sensing techniques for mapping CHABs has 
                         been explored by means of bio-optical modeling of phycocyanin 
                         (PC), a unique inland waters cyanobacteria pigment. However, due 
                         to the small number of sensors with a spectral band of the PC 
                         absorption feature, it is difficult to develop semi-analytical 
                         models. This study evaluated the use of an empirical model to 
                         identify CHABs using TM and ETM+ sensors aboard Landsat 5 and 7 
                         satellites. Five images were acquired for applying the model. 
                         Besides the images, data was also collected in the Guarapiranga 
                         Reservoir, in S{\~a}o Paulo Metropolitan Region, regarding the 
                         cyanobacteria cell count (cells/mL), which was used as an 
                         indicator of CHABs biomass. When model values were analyzed 
                         excluding calibration factors for temperate lakes, they showed a 
                         medium correlation (R2 = 0.81, p = 0.036), while when the factors 
                         were included the model showed a high correlation (R2 = 0.96, 
                         p=0.003) to the cyanobacteria cell count. The empirical model 
                         analyzed proved useful as an important tool for policy makers, 
                         since it provided information regarding the horizontal 
                         distribution of CHABs which could not be acquired from traditional 
                         monitoring techniques.",
                  doi = "10.4136/ambi-agua.1327",
                  url = "http://dx.doi.org/10.4136/ambi-agua.1327",
                 issn = "1980-993X",
                label = "scopus 2014-11 OgashawaraAlc{\^a}StecTund:2014:CyDeGu",
             language = "en",
           targetfile = "Cyanobacteria detection in Guarapiranga Reservoir (Sao Paulo 
                         State, Brazil) using Landsat TM and ETM images.pdf",
        urlaccessdate = "25 abr. 2024"
}