@InProceedings{AmaralRibeGonçDalA:2019:ImCBCa,
               author = "Amaral, Silvana and Ribeiro, Renata Maciel and Gon{\c{c}}alves, 
                         Gabriel Crivellaro and Dal'Asta, Ana Paula",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Imagens CBERS para caracteriza{\c{c}}{\~a}o da expans{\~a}o 
                         urbana na Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2155--2159",
         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 = "Urbaniza{\c{c}}{\~a}o, Amaz{\^o}nia, CBERS, expans{\~a}o 
                         urbana, Urbanization, Amazon, CBERS, urban growth.",
             abstract = "Tr{\^e}s principais atores t{\^e}m impulsionado a expans{\~a}o 
                         das cidades Amaz{\^o}nicas: pol{\'{\i}}tica p{\'u}blica, 
                         iniciativa privada e a popula{\c{c}}{\~a}o em d{\'e}ficit 
                         habitacional. {\'A}reas ocupadas pelo Programa Minha Casa Minha 
                         Vida, loteamentos privados e ocupa{\c{c}}{\~o}es desordenadas 
                         s{\~a}o respectivamente, express{\~o}es destes atores no 
                         territ{\'o}rio, pass{\'{\i}}veis de detec{\c{c}}{\~a}o em 
                         imagens de sat{\'e}lite. Neste trabalho, exploramos imagens PAN 
                         CBERS4 e RapidEye, em modelos linear de mistura espectral (MLME) 
                         para caracterizar {\'a}reas de expans{\~a}o no Par{\'a}, em 
                         Santar{\'e}m, Uruar{\'a} e Novo Progresso, e em Mato Grosso, em 
                         Sinop, antes e depois de 2015. As componentes do MLME possibilitam 
                         a caracteriza{\c{c}}{\~a}o dos tr{\^e}s padr{\~o}es e a 
                         diferencia{\c{c}}{\~a}o dos atores, discutindo-se as 
                         heterogeneidades locais e regionais. Imagens CBERS4 possibilitaram 
                         o estudo dos diferentes padr{\~o}es nas cidades, e podem auxiliar 
                         o monitoramento da expans{\~a}o urbana na Amaz{\^o}nia. 
                         ABSTRACT: Three main actors have driven the expansion of the 
                         Brazilian Amazonian cities: public policy, private initiative and 
                         the population in housing deficit. Areas occupied by the Minha 
                         Casa Minha Vida Program, private allotment and informal 
                         settlements are, respectively, expressions of these actors in the 
                         territory, and thus, detectable by satellite images. In this work, 
                         we explore PAN CBERS4 and RapidEye images, with linear spectral 
                         mixture models (LSMM) to characterize the urban expansion of four 
                         Amazonian cities: Santar{\'e}m, Uruar{\'a} and Novo Progresso 
                         (PA) and Sinop (MT), before and after 2015. The LSMM components 
                         enabled to characterize the urban expansion patterns, identifying 
                         the actors. We also discussed local and regional heterogeneities 
                         between patterns and cities. CBERS4 images allow the study of 
                         different patterns among cities, and can help monitoring the urban 
                         expansion in the Amazon.",
  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/3UB2M2B",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UB2M2B",
           targetfile = "97999.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}