@InProceedings{CarvalhoAlvFerSilLeã:2023:AnCoVe,
               author = "Carvalho, Izadora Santos de and Alvarado, Swanni T. and Ferraz, 
                         Tiago Massi and Silva, Patrick Costa and Le{\~a}o, Paulo Henrique 
                         A.",
          affiliation = "{Universidade Estadual do Maranh{\~a}o (UEMA)} and {Universidad 
                         del Rosario} and {Universidade Estadual do Maranh{\~a}o (UEMA)} 
                         and {Universidade Estadual do Maranh{\~a}o (UEMA)} and 
                         {Universidade Estadual do Maranh{\~a}o (UEMA)}",
                title = "An{\'a}lise das condi{\c{c}}{\~o}es da vegeta{\c{c}}{\~a}o 
                         suscept{\'{\i}}vel ao fogo em {\'a}rea protegida no Cerrado 
                         brasileiro",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156413",
         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 = "Fogo, Seca, Din{\^a}mica da vegeta{\c{c}}{\~a}o, NDVI, 
                         MODIS,Drought, Vegetation dinamic, NDVI, MODIS.",
             abstract = "Nas {\'u}ltimas d{\'e}cadas os eventos clim{\'a}ticos extremos, 
                         como secas severas e chuvas intensas, vem acontecendo com maior 
                         frequ{\^e}ncia e em intervalos de tempo cada vez menores. As 
                         rela{\c{c}}{\~o}es entre eventos de secas, press{\~o}es 
                         antr{\'o}picas pelo desmatamento e o avan{\c{c}}o 
                         agroindustrial, contribuem significativamente para o aumento de 
                         ocorr{\^e}ncia de queimadas. O desenvolvimento de metodologias e 
                         a utiliza{\c{c}}{\~a}o de produtos provenientes de sensores 
                         remotos, j{\'a} existentes, que possam subsidiar as 
                         a{\c{c}}{\~o}es de manejo do fogo (previs{\~a}o e combate) 
                         s{\~a}o extremamente necess{\'a}rios. Portanto, neste estudo, 
                         temos como objetivo, relacionar a din{\^a}mica da 
                         vegeta{\c{c}}{\~a}o, atrav{\'e}s dos {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o NDVI e VCI, identificando sua 
                         susceptibilidade {\`a} ocorr{\^e}ncia de queimadas, utilizando 
                         dados do sensor MODIS entre o per{\'{\i}}odo de 2001-2021. 
                         Nossos resultados demonstram a import{\^a}ncia do uso de IVs, 
                         como o VCI, que ressalta as condi{\c{c}}{\~o}es da 
                         vegeta{\c{c}}{\~a}o suscept{\'{\i}}veis ao fogo, podendo 
                         colaborar para as a{\c{c}}{\~o}es de gest{\~a}o em {\'a}reas 
                         de prote{\c{c}}{\~a}o no Cerrado brasileiro. ABSTRACT: In recent 
                         decades, extreme weather events, such as severe droughts and heavy 
                         rains, have been happening more frequently and at increasingly 
                         shorter intervals. The relationships between drought events, 
                         anthropic pressures from deforestation and agro-industrial 
                         advances significantly contribute to the increase in the 
                         occurrence of fires. The development of methodologies and the use 
                         of products from remote sensors, which already exist, that can 
                         support fire management actions (forecasting and fighting) are 
                         extremely necessary. Therefore, in this study, we aim to relate 
                         the vegetation dynamics, through the NDVI and VCI vegetation 
                         indices, identifying its susceptibility to the occurrence of 
                         fires, using data from the MODIS sensor between the period 
                         2001-2021. Our results demonstrate the importance of the use of 
                         IVs, such as the VCI, which highlights the conditions of 
                         vegetation susceptible to fire, and can collaborate for management 
                         actions in protected areas in the brazilian Cerrado.",
  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/493QP45",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/493QP45",
           targetfile = "156413.pdf",
                 type = "Queimadas e Inc{\^e}ndios Florestais",
        urlaccessdate = "29 jun. 2024"
}