@InProceedings{MachadoNeve:2017:ClIdCo,
               author = "Machado, Carolyne Bueno and Neves, Alana Kasahara",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Delimita{\c{c}}{\~a}o de {\'A}reas de Preserva{\c{c}}{\~a}o 
                         Permanente das sub-bacias do Reservat{\'o}rio 
                         Jaguari-jacare{\'{\i}}, Sistema Cantareira (SP) - 
                         classifica{\c{c}}{\~a}o e identifica{\c{c}}{\~a}o de conflito 
                         na cobertura da terra (2013)",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "477--484",
         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 natural vegetation has an important contribution at the 
                         protection of water resources, legally supported by the Forest 
                         Code, which established the Permanent Preservation Areas (APP). 
                         The reservoirs of the Cantareira System, especially 
                         Jaguari-Jacarei, suffered severe water crisis in recent years, 
                         evidencing the importance of protecting their contribution area. 
                         This study aimed to classify automatically land cover in these 
                         regions of interest and assess conflict areas with the law in the 
                         APP, delimited by geoprocessing techniques. APPs delimitation was 
                         based on the IBGE drainage network, a digital elevation model and 
                         orbital images of the surface. It was used the object-based 
                         supervised classification of RapidEye images (2013). The automatic 
                         classification obtained an accuracy above 92%. Building areas and 
                         exposed soil were the classes with greater confusion each other, 
                         as well as reforestation and tree vegetation classes. The results 
                         showed that around half of the preservation area presented 
                         conflicting land cover, not being covered by tree vegetation. 
                         Grass was the class with greater conflict inside the APPs, 
                         occupying more than 41% of the area. The reservoirs APP had only 
                         32.7% of non-conflicting class. Therefore, is evident the 
                         requirement for regulation of such preservation areas, mainly 
                         because it is an extremely important supply system for the 
                         population.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59644",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44CH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44CH",
           targetfile = "59644.pdf",
                 type = "{\'A}reas protegidas",
        urlaccessdate = "27 abr. 2024"
}