@InProceedings{ChaslesOlBeMaBaAlLi:2023:AtCoMe,
               author = "Chasles, Rafael Grinberg and Oliveira, Matheus de Souza Pinto and 
                         Begliomini, Felipe Nincao and Maciel, Daniel Andrade and Barbosa, 
                         Cl{\'a}udio Clemente Faria and Almeida, Cl{\'a}udia Maria de and 
                         Lima, Thainara Munhoz Alexandre de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Atmospheric correction methods for the retrieval of the orange 
                         contra-band from multispectral data",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156301",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Acolite, 6S, contra-band, atmospheric correction, Operational Land 
                         Imager.",
             abstract = "The purpose of this work is to evaluate two methods of atmospheric 
                         correction (AC) applied to multispectral images from the 
                         Operational Land Imager (OLI) in order to retrieve the orange 
                         contra-band (590635 nm). It is useful to obtain spectral 
                         information related to the presence of phycocyanin (PC) in inland 
                         waters. This pigment concentration indicates the presence of 
                         cyanobacteria in the water and can be detected by remote sensors 
                         with bands covering the absorption peak of the PC (620 nm). The AC 
                         algorithms tested the Acolite and 6S processors and were applied 
                         to multispectral data from the OLI multispectral sensor, onboard 
                         Landsat 8. The orange contra-bands calculated with the images 
                         corrected by those two methods were compared with the one 
                         estimated with reflectance data obtained in-situ for validation. 
                         It showed that, for this dataset, Acolite has performed better 
                         (MAE = 1.38; BIAS = 0.87).",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/48TS57P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48TS57P",
           targetfile = "156301.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "03 maio 2024"
}