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@InProceedings{AmoreJorgOgasStec:2015:GeMoSe,
               author = "Amore, Diogo de Jesus and Jorge, Daniel Schaffer Ferreira and 
                         Ogashawara, Igor and Stech, Jos{\'e} Luiz",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Gera{\c{c}}{\~a}o de um modelo semi-emp{\'{\i}}rico para 
                         quantifica{\c{c}}{\~a}o de flora{\c{c}}{\~a}o de 
                         cianobact{\'e}ria no reservat{\'o}rio de Guarapiranga por meio 
                         de imagens MODIS",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4361--4368",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In this paper, it was developed a semi-empirical model for 
                         MODIS/Terra to quantify cyanobacteria bloom in Guarapiranga 
                         Reservoir, SP Brazil. Cyanobacteria densities (cel/mL) were 
                         calculated by SABESP (Basic Sanitation for S{\~a}o Paulo State) 
                         from 2 hydrographic stations arranged in the reservoir 2 to 3 
                         times a week, and were freely available from its website. Then, 
                         these densities were related to the daily overpass of the MODIS 
                         sensor. The satellite imagery spans from January to December of 
                         2013. The images were acquired already atmospherically corrected 
                         by the National Aeronautics and Space Administration (NASA). A 
                         band ratio was applied to the second (841-876 nm) and first 
                         (620-670 nm) bands, and a correlation between the bands showed an 
                         indication of phytoplankton bloom. This allowed the model 
                         generation based on the correlation between the in situ cell count 
                         and remote sensing reflectance (Rrs) acquired from the imagery. R2 
                         and equation slope values from collection point 101 showed a 
                         better result than point 104 before calibration and validation. 
                         The values from this point were then calibrated and validated and 
                         a final model generated. The final semi-empirical model R2 was 
                         0.85 and the normalized root mean square error (NRMSE) was 0.24. 
                         This study shows the potential for the MODIS/Terra sensor to be 
                         used in cyanobacteria bloom spatio-temporal monitoring programmes, 
                         therefore, allowing the bloom density quantification and the 
                         comprehension of ecological processes in an inland tropical 
                         reservoir.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "856",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4CMH",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4CMH",
           targetfile = "p0856.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "04 dez. 2020"
}


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