@InProceedings{PachecoMiguPalo:2017:SlScCh,
               author = "Pacheco, T{\'e}hrrie Caroline K{\"o}nig Ferraz and Miguel, 
                         Barbara Hass and Paloschi, Rennan Andres",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Slips of scars characterization for image processing in Nova 
                         Friburgo - RJ",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "779--786",
         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 = "Natural disasters, such as landslides, are a common problem in 
                         many places of the world, and studies about this topic have been 
                         increased since they lead to life and economic losses. Remote 
                         Sensing data can be used for mass movement studies, and for 
                         identification of landslides scars. So, this work identifies and 
                         characterizes landslides scars in Nova Friburgo RJ, through 
                         digital processing satellite images of Landsat-5. To enhance the 
                         spectral and special quality, in order to facilitate the visual 
                         analysis and provide more information, the images were processed 
                         by removing clouds cover, selecting bands and obtaining color 
                         composition and performed a subtraction between bands. The 
                         Normalized Difference Vegetation Index (NDVI) was used to identify 
                         and mapping the landslides. A map of environmental fragility, 
                         based on Ross (1994) classification, was made to analyze the 
                         fragility in study area. Geological, geomorphologic and 
                         pedological data were researched to deepen the analysis. The 
                         results shows that the heavily rainfall in combination with 
                         multiple factors such as geology, geomorphology, soil saturation 
                         and high declivity, were the trigger to the 2011 landslide in the 
                         study area.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59580",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44SH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44SH",
           targetfile = "59580.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}