@InProceedings{LorenaChipVomm:2017:AdMePR,
               author = "Lorena, Rodrigo Borrego and Chipolesch, Jo{\~a}o Marcos Augusto 
                         and Vommaro, Felipe",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Adapta{\c{c}}{\~a}o da metodologia PRODES para a 
                         detec{\c{c}}{\~a}o de {\'a}reas desmatadas da Mata 
                         Atl{\^a}ntica do Estado do Esp{\'{\i}}rito Santo, utilizando 
                         imagens RapidEye",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4566--4574",
         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 = "The Brazilian Atlantic Forest is one of the most important 
                         biodiversity hotspots in the Earth but is currently under pressure 
                         and its deforestation is on the increase. Several programs and 
                         initiatives to map and monitor this biome are being developed. 
                         However often the resolution and the scale are not compatible with 
                         the size of the fragments of this Brazilian biome. In this way, 
                         the main objective of this study was to propose a methodology for 
                         monitoring the vegetation cover of the Espirito Santo State, 
                         appropriate to the size of state forest fragments.. The work was 
                         developed in five stages: 1- selection and acquisition of the 
                         Rapideye images, 2- creation of the reference mask vegetation 
                         cover, 3- identification of the deforestation polygons through the 
                         process of segmentation and automatic classification of the 
                         images, 4- verification and manual edition of the deforestation 
                         maps and 5- calculation of the updated vegetation cover. The 
                         results showed updated vegetation cover areas for each 
                         municipality and the identification and quantification of the loss 
                         of vegetation for the following vegetation types, for 2007/2008 to 
                         2014/2015: native forest, mangrove and sandbank. The total area 
                         lost was, respectively, 2364.69, 61.68 and 13.95 hectares for the 
                         native forest, sandbank and mangrove.This study demonstrated the 
                         applicability of RapidEye images to detect deforested areas, as 
                         well as the use of high-resolution images provided by Google Earth 
                         for results verification.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60036",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM3BU",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3BU",
           targetfile = "60036.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}