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@InProceedings{MoraesDFQDSSML:2017:DeSeNu,
               author = "Moraes, Douglas Rafael Vidal de and Dias, Emily Regina Siqueira 
                         and Feitosa, Jeremias Vit{\'o}rio Pinto and Quadros, Camila 
                         Barata and Dias, M{\'{\i}}rian Corr{\^e}a and Souza, Jefferson 
                         Jesus de and Santos, La{\'{\i}}s Freitas Moreira dos and 
                         Miranda, Magda Val{\'e}ria Corr{\^e}a and Luz, Nelton Cavalcante 
                         and Ronise",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Detec{\c{c}}{\~a}o semiautom{\'a}tica de nuvens e sombras nas 
                         imagens WFI/CBERS-4 utilizando a ferramenta cloud detection do 
                         sistema TerraAmazon",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5009--5016",
         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 = "The Amazon region, by its geographical location, with influences 
                         of the Intertropical Convergence Zone, offers to optical sensors, 
                         the obtainment of images with high cloud coverage in the greater 
                         part of the year, which makes difficult and/or prevents the 
                         orbital images interpretation and can become an obstacle for the 
                         remote sensing and geoprocessing in the forests monitoring. 
                         Keeping this in view, it was implemented a cloud automatic 
                         detection tool, the Cloud Detection, which is available in the 
                         application TerraAmazon, developed by INPE and FUNCATE to give 
                         support to the projects, developed by the National Institute for 
                         Space Research (INPE) for the monitoring of forests. The present 
                         work applied different values to the parameters referring to the 
                         plugin Cloud Detection in the semiautomatic detection of clouds 
                         and shadows for WFI/CBERS-4 images, to verify which parameters 
                         collaborate for the efficiency of the detection and vectorization 
                         of the two targets in question. The results showed that the values 
                         of the morphological filters opening was the one who collaborates 
                         more for the differences in the vectorization; and there will 
                         always have confusion related to some water bodies that, because 
                         of theirs similar reflectance, they are detected as shadows, which 
                         can be edited manually and deleted of the mapping.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59993",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM45Q",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM45Q",
           targetfile = "59993.pdf",
                 type = "CBERS",
        urlaccessdate = "29 nov. 2020"
}


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