@InProceedings{LoboBYJGNCJ:2017:MoSeRe,
               author = "Lobo, Felipe de Lucia and Barbosa, Cl{\'a}udio Clemente Faria and 
                         Yunes, Jo{\~a}o Sarkis and Jr., Edi Morales Pinheiro and 
                         Guimar{\~a}es, Pablo Santos and Novo, Evlyn M{\'a}rcia Le{\~a}o 
                         de Moraes and Carvalho, Lino Augusto Sander de and Jorge, Daniel 
                         Schaffer Ferreira",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Estudo espa{\c{c}}o-temporal de flora{\c{c}}{\~o}es de 
                         cianobact{\'e}rias no Rio Tapaj{\'o}s: Monitoramento por 
                         sensoriamento remoto e experimento em laborat{\'o}rio",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1368--1375",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Monitoring cyanobacteria blooms in inland waters is largely 
                         restricted to in situ water samples. An alternative for quick 
                         access to algae blooms is the use of satellite images. However, 
                         the identification of the species mapped on the images is still 
                         dependent on microscopy techniques. Therefore, as an attempt to 
                         develop techniques of cyanobacteria monitoring, this research had 
                         two objectives: 1) Map the spatial-temporal distribution of 
                         cyanobacteria bloom in the Tapaj{\'o}s River using 
                         multi-satellite approach (MERIS/Envisat, Landsat, e Rapideye); and 
                         2) Evaluate the use of Particle Size Distribution (PSD) to 
                         estimate biovolume (µl/l) of three different cyanobacteria with 
                         different sizes and shapes (Microcystis sp., Anabaena variabilis, 
                         e Synechocystis sp.,). This research mapped cyanobacteria blooms 
                         for the past 10 years which seems to be one of the largest blloms 
                         in Brazilian inland waters. The multi-satellite approach showed 
                         promissing results for a time-series analysis. The biovolume 
                         estimated by LISST (optical sensor) showed satisfactory 
                         correlation to biovolume observed on microscopy, which indicates 
                         this approach as a quick but generic approach for sepcies 
                         dominance. For a proper use of LISST for biovolume estimation, one 
                         has to consider the presence of non-algal particles, and its 
                         limiation on biovolume estimation under high cells 
                         concentration.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59234",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GJM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GJM",
           targetfile = "59234.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}