@InProceedings{SilvaSilvSchu:2017:UtImSa,
               author = "Silva, Bet{\^a}nia Queiroz da and Silva, Luciana Maria Da and 
                         Schuller, Carlos Alberto Borba",
                title = "Utiliza{\c{c}}{\~a}o de imagens do sat{\'e}lite de alta 
                         resolu{\c{c}}{\~a}o RapidEye para an{\'a}lise da 
                         resili{\^e}ncia da popula{\c{c}}{\~a}o as margens do rio Una, 
                         Palmares, Pernambuco, Brasil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2784--2791",
         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 = "In 2010, the district of Palmares, located in the state of 
                         Pernambuco, suffered a big environmental impact due to a strong 
                         flood of the River Una, with repercussions on several to the 
                         resident population. This work presents socio-environmental 
                         conjunctures afterward flood due this event is considered of high 
                         magnitude. For this was used RapidEye high spatial resolution 
                         satellite image of year 2015 of the area to check the occupation, 
                         contrasted with on-site visit and the data of the Chart of 
                         Susceptibility to the flood of the CPRM, which enabled us identify 
                         the area classification as high, medium and low risk. This context 
                         highlights that interventions have been taken by the government to 
                         combat and minimize new flooding due the risk that the area 
                         presents to the population, for example, the development Chart of 
                         Susceptibility to the flood, Digital Terrain Models (DTM), both 
                         necessary for this research. With the analyzes it was evidenced 
                         that the population continues to occupying many areas affected by 
                         flood and that even with the development of public projects to 
                         combat flooding the region is still very vulnerable. This context 
                         emphasized that, the monitoring of the affected areas is a 
                         substantial factor to detecting impacts and to forestalling future 
                         risks. It is noteworthy that all products were generated from the 
                         high resolution image data, which allow a better interpretation of 
                         the area and aid in the restructuring projects.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59653",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLR8U",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR8U",
           targetfile = "59653.pdf",
                 type = "Recursos h{\'{\i}}dricos",
        urlaccessdate = "27 abr. 2024"
}