@InProceedings{ParenteJúni:2017:DeOpMo,
               author = "Parente, Leandro Leal and J{\'u}nior, Laerte Guimar{\~a}es 
                         Ferreira",
                title = "Desafios e oportunidades para o monitoramento da cobertura 
                         terrestre brasileira utilizando s{\'e}ries temporais Landsat",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2146--2152",
         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 = "Land cover monitoring has become an important line of research, 
                         which has result in progressively more accurate information and 
                         greater spatial detail regarding the distribution of natural and 
                         anthropic landscapes. At the same time, the increase in computing 
                         power supported by cloud computing, the introduction of new 
                         classification methods based on time series, and the increasing 
                         availability of public satellite data have contributed to the 
                         emergence of a new generation of land cover monitoring products, 
                         capable of more appropriately depicting the dynamics of these 
                         landscapes and to support public policies. Specifically, this 
                         study evaluated the effective availability of Landsat 8 data (L1T) 
                         and their spatial distribution patterns across the Brazilian 
                         territory. Our results suggest that approximately 80% of Brazil 
                         have fewer than 12 annual observations free of clouds and/or 
                         cloud-shade. While the Cerrado is the Brazilian biome with the 
                         largest number of good quality observations, the Amazon biome is 
                         the most affected by low availability of observations, with large 
                         areas of Amapa state, northern Par{\'a} and regions in western 
                         Acre, Amazonas Roraima containing only one observation for the 
                         entire calendar year. The methods of analysis utilized in this 
                         study can be easily applied to the entire Landsat series, which 
                         will improve our understanding on data availability over time and 
                         enable the combined use of data from different Landsat satellites 
                         (e.g. Landsat 5 and 7).",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59971",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQ3N",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ3N",
           targetfile = "59971.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "09 maio 2024"
}