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@InProceedings{FeitosaDMLDSDQSF:2017:MaIdPa,
               author = "Feitosa, Jeremias Vit{\'o}rio Pinto and Dias, Roberto Wilson 
                         Oliveira and Moraes, Douglas Rafael Vidal de and Luz, Nelton 
                         Cavalcante and Dias, M{\'{\i}}rian Corr{\^e}a and Souza, 
                         Arlesson Antonio de Almeida and Dias, Emily Regina Siqueira and 
                         Quadros, Camila Barata and Souza, Jefferson Jesus de and F, 
                         La{\'{\i}}s",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {} and {} and {} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Mapeamento e identifica{\c{c}}{\~a}o de padr{\~o}es de 
                         altera{\c{c}}{\~a}o na cobertura florestal em imagens do sensor 
                         AWIFS-RESOURCESAT-II na Amaz{\^o}nia legal",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4343--4350",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The Amazon Near Real-Time Deforestation Detection System (DETER) 
                         was developed by the National Institute of Spatial Research (INPE) 
                         as an alert system to support the environmental control and 
                         enforcement, being part of the Amazon Deforestations Prevention 
                         and Control Plan. This system has been responsible for a rapid and 
                         systematic survey in the Brazilian Legal Amazon since May, 2004 
                         using MODIS images. In the last decade, there was a reduction in 
                         the size of the deforestation polygons, which represents an 
                         obstacle for DETER system, once MODIS spatial resolution only 
                         allows detection of greater areas. Accordingly, this paper aims to 
                         map and identify forest cover loss patterns using images of the 
                         Advanced Wide Field Sensor (AWiFS), on board of ResourceSat-2 
                         Satellite, for the purpose of monitoring the Amazon Forest in the 
                         state of Par{\'a}, in September, 2015. Six different patterns of 
                         forest cover changes were identified in the study area. The mapped 
                         area for each class was: 19.308,02 ha of Clear Cut, 202,09 ha of 
                         Clear Cut with vegetation, 55.059,96 ha of degradation, 7.962,57 
                         ha for regular selective logging, 802,77 ha of traditional 
                         selective logging and 595,05 ha of mining. Therefore, the highest 
                         percentage of mapped area (~ 65%) is associated with Degradation. 
                         Thus, in a more detailed analysis, the results allowed to conclude 
                         that the AWiFS sensor with moderate spatial resolution of 56 m is 
                         a very effective tool in the monitoring and enforcement of forests 
                         in near real-time, offering then a great support for 
                         conservationist measures of the Amazon biome.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59479",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2T9",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM2T9",
           targetfile = "59479.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "29 nov. 2020"
}


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