@InProceedings{ArcanjoMaSoCoQuFe:2023:ImViIn,
               author = "Arcanjo, Jeferson Souza and Marujo, Rennan de Freitas Bezerra and 
                         Souza, Ricardo Cartaxo Modesto de and Costa, Raphael Willian da 
                         and Queiroz, Gilberto Ribeiro de and Ferreira, Karine Reis",
          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)}",
                title = "A multi-source WFI datacube of CBERS-4 and CBERS-4A images: 
                         improving visual interpretation",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156508",
         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 = "CBERS, Brazil Data Cube, Visual Interpretation, Optical Remote 
                         Sensing, Data Cube.",
             abstract = "PRODES and DETER, Brazilian programs to monitor deforestation, 
                         rely on free optical images for visual interpretation, which can 
                         be obtained from the sensors on-board several satellites, such as 
                         Landsat-8, Landsat-9, Sentinel-2, CBERS-4, CBERS-4A and 
                         Amazonia-1. However, in optical remote sensing images, clouds and 
                         cloud shadows have a direct impact on the number of Earths surface 
                         observations. Combining images from different sources can help to 
                         overcome this information gap. Based on that, the Brazil Data Cube 
                         started to produce an experimental product that combines CBERS-4 
                         and CBERS-4A images from the WFI sensor on-board both satellites. 
                         The main idea of this product is to provide spatial and temporal 
                         mosaics with less clouds and cloud shadows than products 
                         containing images from a single satellite, improving visual 
                         interpretation.",
  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/4942CJB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/4942CJB",
           targetfile = "156508.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "16 jun. 2024"
}