@InProceedings{SimõesAnjLeiNóbLim:2017:AnEsDe,
               author = "Sim{\~o}es, Ewerton Medeiros and Anjos, Denize Monteiro dos and 
                         Leite, Ana Claudia Caetano Pinheiro and N{\'o}brega, Gisela 
                         Formiga Queiroz and Lima, Joedla Rodrigues",
                title = "An{\'a}lise espa{\c{c}}o-temporal e detec{\c{c}}{\~a}o de 
                         mudan{\c{c}}as da cobertura vegetal na microbacia 
                         hidrogr{\'a}fica do Rio Farinhas/PB ? Brasil, utilizando o NDVI",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7345--7351",
         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 face of the many techniques used for the monitoring and 
                         evaluation of changes in structure, physiognomy and dynamics in 
                         forest cover over time highlights the use of Normalized Difference 
                         Vegetation Index (NDVI). This index allows us to do analyses, at 
                         different scales of the vegetation cover of a given region, being 
                         acquired by the ratio between values of reflectance of bands in 
                         the near infrared and red. In view of theforegoing, the objective 
                         of this study was to map the change of vegetation cover in the 
                         watershed of the Rio Farinha, through (NDVI) in the period from 
                         2005 to 2015. In this study were used images of the dry period of 
                         the satellites Landsat 5 TM (2005) and Landsat 8 (2015). The 
                         values obtained with the NDVI proved to be quite efficient and 
                         accurate for the identification of the vegetation cover of the 
                         watershed of the Rio Farinha, we can observe a considerable 
                         advance in the degradation of the condition of plant cover in the 
                         watershed of the study area, between the years analyzed, caused 
                         mainly by agricultural activities and mining activities in an 
                         unsustainable way in the region, especially on the banks of water 
                         bodies. The employment of the software QGIS and the use of images 
                         from satellites Landsat 5 and Landsat 8, if configured as 
                         important tools for the acquisition and processing of data for 
                         environmental monitoring.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59605",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMFHM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFHM",
           targetfile = "59605.pdf",
                 type = "Paisagens naturais",
        urlaccessdate = "04 maio 2024"
}