@InProceedings{PowellRobe:2007:ChUrGr,
               author = "Powell, Rebecca and Roberts, Dar Alexander",
          affiliation = "{University of Denver} and University of California, Santa 
                         Barbara",
                title = "Characterizing urban growth and peri-urban landscape change in 
                         Rond{\^o}nia using multiple endmember spectral mixture analysis",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "6933--6940",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "land-cover change, urban remote sensing, spectral mixture 
                         analysis, Amaz{\^o}nia, sensoriamento remoto de {\'a}reas 
                         urbanas.",
             abstract = "This study explored the utility of multiple endmember spectral 
                         mixture analysis (MESMA) to capture patterns of change in urban 
                         and peri-urban land cover through time. MESMA models measured 
                         spectra as the linear sum of spectrally pure endmembers and allows 
                         endmembers to vary on a per-pixel basis. We analyzed ten urban 
                         centers in the state of Rond{\^o}nia using Landsat TM/ETM+ 
                         imagery corresponding to the years 1985, 1990, 1995, and 2000. 
                         MESMA was applied to each sample, and two categories of maps were 
                         generated: (a) maps of the sub-pixel abundance of generalized 
                         urban materials (impervious surfaces, vegetation, and soil), and 
                         (b) maps of model complexity (i.e., the number of endmembers 
                         required to adequately model each pixel). Model complexity was 
                         found to be highly correlated with degree of human impact on the 
                         landscape. The relationships between model complexity, urban 
                         growth, and changes in the peri-urban landscape were explored in 
                         the context of this tropical forest frontier environment.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
                 isbn = "978-85-17-00031-7",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.15.17.14",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.17.14",
           targetfile = "6933-6940.pdf",
                 type = "Sensoriamento Remoto da Amaz{\^o}nia",
        urlaccessdate = "30 abr. 2024"
}