@InProceedings{ShimabukuroDuarFreiArai:2007:DeMaDe,
               author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Freitas, Ramon 
                         Morais de and Arai, Eg{\'{\i}}dio",
          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 = "Detec{\c{c}}{\~a}o e mapeamento de desflorestamento e {\'a}reas 
                         queimadas na Amaz{\^o}nia utilizando dados de 
                         resolu{\c{c}}{\~a}o espacial moderada do sensor MERIS",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "6961--6968",
         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 = "Deforestation, burned areas, monitoring, mapping, MERIS sensor, 
                         fraction image, desflorestamento, {\'a}reas queimadas, 
                         monitoramento, mapeamento, sensor MERIS, imagens 
                         fra{\c{c}}{\~a}o.",
             abstract = "This paper presents a methodology for detecting and mapping 
                         deforestation and burned areas in Amazonia using moderate spatial 
                         resolution data acquired by MERIS (Medium Resolution Imaging 
                         Spectrometer) sensor onboard the ENVISAT satellite. The proposed 
                         methodology is based on DETER (Detec{\c{c}}{\~a}o em Tempo Real 
                         do Desflorestamento na Amaz{\^o}nia) project that uses the MODIS 
                         images. Then it consists on generating fraction images, 
                         segmentation of soil fraction images, classification using non 
                         supervised approach, mapping and editing the classified image, 
                         using MERIS data. For this study, the MERIS image acquired on July 
                         31, 2004, over Para Sate in Amazonia, was selected. The 
                         classification results were compared with results derived from the 
                         MODIS image acquired in the same day. In addition, the MODIS image 
                         acquired in 2001 was also analyzed to evaluate the multitemporal 
                         analysis for monitoring land cover changes. The results show that 
                         MERIS images can be used as additional data source for DETER 
                         project for detecting deforestation activities in a near real 
                         time.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.24.20.05",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.24.20.05",
           targetfile = "6961-6968.pdf",
                 type = "Sensoriamento Remoto da Amaz{\^o}nia",
        urlaccessdate = "07 maio 2024"
}