@InProceedings{OliveiraAndLemRamGal:2019:UsOcSo,
               author = "Oliveira, Joice Cristina Carvalho and Andrade, Samuel Lacerda de 
                         and Lemes, Ernane Miranda and Ramos, Isadora Maria 
                         Gon{\c{c}}alves and Gallis, Rodrigo Bezerra de Ara{\'u}jo",
          affiliation = "{Universidade Federal de Uberl{\^a}ndia (UFU)} and {Universidade 
                         Federal de Uberl{\^a}ndia (UFU)} and {Monitora Engenharia e 
                         Geotecnologia} and {Universidade Federal de Uberl{\^a}ndia (UFU)} 
                         and {Universidade Federal de Uberl{\^a}ndia (UFU)}",
                title = "Uso e ocupa{\c{c}}{\~a}o do solo do munic{\'{\i}}pio de 
                         Campina Verde - MG",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2430--2433",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Sentinel-2, Antropiza{\c{c}}{\~a}o, {\'{\I}}ndice Global 
                         Kappa, Comiss{\~a}o, Omiss{\~a}o, Sentinel-2, anthropic impact, 
                         global Index Kappa, Commission, Omission.",
             abstract = "Para o desenvolvimento de um munic{\'{\i}}pio {\'e} primordial 
                         ter o conhecimento sobre o uso e ocupa{\c{c}}{\~a}o do solo, 
                         visando sempre o planejamento para uma ocupa{\c{c}}{\~a}o 
                         ordenada e sustent{\'a}vel do espa{\c{c}}o. Utilizando 
                         t{\'e}cnicas de sensoriamento remoto e o geoprocessamento, foi 
                         realizado classifica{\c{c}}{\~a}o de imagens supervisionadas com 
                         o objetivo principal de se obter o uso e ocupa{\c{c}}{\~a}o do 
                         solo atualizado do munic{\'{\i}}pio de Campina Verde, MG, usando 
                         imagens da constela{\c{c}}{\~a}o Sentinel-2. O mapa de uso e 
                         ocupa{\c{c}}{\~a}o do solo apresentou uma realidade 
                         caracter{\'{\i}}stica de antropiza{\c{c}}{\~a}o severa da 
                         {\'a}rea estudada; 74,58% do territ{\'o}rio possui 
                         altera{\c{c}}{\~o}es que caracterizam press{\~a}o humana. O 
                         {\'{\i}}ndice global Kappa da obtido foi 0,83 o que caracteriza 
                         a classifica{\c{c}}{\~a}o como excelente. Os maiores erros de 
                         comiss{\~a}o e omiss{\~a}o foram da classe Pastagem / 
                         Agricultura, o que demonstra a dificuldade do classificador em 
                         separar as distintas classes que continham vegeta{\c{c}}{\~a}o. 
                         ABSTRACT: For the district development it is paramount to have 
                         knowledge about the use and occupation of the ground, always 
                         aiming at the planning for an orderly and sustainable occupation 
                         of space. Using techniques of remote sensing and geoprocessing, it 
                         was conducted a supervised classification of satellite images with 
                         the main objective of obtaining a upgraded map of the use and 
                         occupation of the ground in Campina Verde, MG, using images of the 
                         Sentinel-2 constellation. The map of the use and occupation of the 
                         ground presented a reality characteristic of severe anthropic 
                         impact in the studied area; 74.58% of the territory has changes 
                         that characterize human pressure. The overall Kappa Index was 0.83 
                         which characterizes the classification as excellent. The biggest 
                         mistakes of commission and omission were for the Pasture / 
                         Agriculture class, which demonstrates the difficulty of the 
                         classifier to separate the different classes that contain 
                         vegetation.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U6KSJ8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U6KSJ8",
           targetfile = "97740.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da Terra",
        urlaccessdate = "08 maio 2024"
}