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@InProceedings{FreitasRosaShim:2010:GrPaAn,
               author = "Freitas, Ramon Morais de and Rosa, Reinaldo Roberto and 
                         Shimabukuro, Yosio Edemir",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Gradient Pattern Analysis Applied to Multitemporal Land Cover 
                         Change Detection",
            booktitle = "Anais...",
                 year = "2010",
               editor = "Rodrigues, Rita de C{\'a}ssia Meneses and Almeida, Wesley Gomes 
                         de and Assis, Talita Oliveira and Chalhoub, Ezzat Selim and 
                         Cortivo, F{\'a}bio Dall and Fran{\c{c}}a, Luis Fernando Amorim 
                         and Macau, Elbert Einstein Nehrer and Oliveira, Rudinei Martins de 
                         and Pillat, Valdir Gil and Santos, Laurita dos and Serpa, Dalila 
                         Ribeiro and Silva, Jos{\'e} Demisio Sim{\~o}es da and Silva, 
                         Marlon da",
         organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 
                         10. (WORCAP).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Gradient Pattern Analysis, Amazonia, deforestation.",
             abstract = "In this work, the Gradient Pattern Analysis - GPA was applied for 
                         the first time in MODIS spatial-temporal images over the Amazon 
                         region. The study area is a Large Scale Biosphere-Atmosphere 
                         Experiment in Amazonia LBA study site located in the Par{\'a} 
                         State, eastern Brazilian Amazonia. Using remote sensing images 
                         derived from MODIS - MOD09 8-day composite product from 2000 to 
                         2009 was elaborated the EVI2 spatial-temporal series of the study 
                         area. For each pixel we performed smooth time-series applying 
                         wavelets transform method for noise reduction. The GPA objective 
                         was characterizing small symmetry breaking, amplitude and phase 
                         disorder due to spatial-temporal fluctuations driven by the 
                         deforestation and flooded changes detected by MODIS images. For 
                         the characterization of spatial-temporal series the Gradient 
                         Pattern Analysis showed a new approach to understand LULC changes 
                         directly in the remote sensing images.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "20 e 21 out. 2010",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/38B5PGS",
                  url = "http://urlib.net/rep/8JMKD3MGP8W/38B5PGS",
           targetfile = "ramon78921_final.pdf",
                 type = "Tecnologia da informa{\c{c}}{\~a}o e extra{\c{c}}{\~a}o de 
                         informa{\c{c}}{\~o}es",
        urlaccessdate = "27 jan. 2021"
}


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