@InProceedings{CostaCostGome:2023:AnMuPa,
               author = "Costa, Joelma da Silva and Costa, Jonatas da Silva and Gomes, 
                         Alessandra Rodrigues",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise da mudan{\c{c}}a do padr{\~a}o de alerta de 
                         desmatamento detectado pelo projeto DETER Cerrado pr{\'e} e 
                         durante a pandemia de COVID-19",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155789",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "monitoramento, Cerrado, DETER, pandemia, desmatamento, Monitoring, 
                         Cerrado, DETER Pandemic, deforestation.",
             abstract = "O Brasil vivenciou durante a pandemia de COVID-19 uma 
                         intensifica{\c{c}}{\~a}o no processo de desmatamento no Cerrado, 
                         baseado nos dados do projeto DETER observou-se uma mudan{\c{c}}a 
                         no padr{\~a}o de desmatamento, caracterizado pelo aumento das 
                         {\'a}reas de alerta de retirada da cobertura vegetal, 
                         principalmente por corte raso. Antes da pandemia, o padr{\~a}o de 
                         retirada apresentava pol{\'{\i}}gonos menores quando comparados 
                         aos alertas percebidos durante a pandemia, at{\'e} os dias 
                         atuais. Nesse cen{\'a}rio observou-se que o n{\'u}mero de 
                         alertas de desmatamento manteve um crescimento progressivo, 
                         por{\'e}m os valores em hectares aumentaram de forma alarmante, 
                         principalmente em 2022. Deste modo, o objetivo deste trabalho 
                         {\'e} apresentar algumas {\'a}reas de diferentes 
                         munic{\'{\i}}pios do Cerrado localizados na regi{\~a}o de 
                         MATOPIBA que mais apresentaram mudan{\c{c}}a de comportamento 
                         antes e durante pandemia de COVID-19. ABSTRACT: During the 
                         COVID-19 pandemic, Brazil experienced an intensification of the 
                         deforestation process in the Amazon and Cerrado. In the last one, 
                         a change in the deforestation pattern was observed, characterized 
                         by the increase in the areas of alert for removal of vegetation 
                         cover, mainly by clear cutting. Before the aforementioned 
                         pandemic, the pattern of withdrawal followed discrete criteria in 
                         relation to the alerts perceived during it, until the present day. 
                         In this scenario, it was observed that the number of deforestation 
                         alerts maintained a progressive growth, but the values in hectares 
                         increased alarmingly, especially in 2022. Thus, the objective of 
                         this work is to present some areas of different municipalities in 
                         the Cerrado - located in the MATOPIBA region which suffered the 
                         most deforestation before and during the aforementioned 
                         pandemic.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/49564N2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/49564N2",
           targetfile = "155789.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "11 maio 2024"
}