@InProceedings{Aguiar:2023:AnCoÁr,
               author = "Aguiar, Ponciana Freire de",
          affiliation = "{Universidade do Minho}",
                title = "An{\'a}lise da convers{\~a}o de {\'a}reas florestadas para 
                         desmatadas por imagens do Sentinel 1A e Sentinel 2A, e dados 
                         secund{\'a}rios, em trechos de Senador Jos{\'e} 
                         Porf{\'{\i}}rio e Anapu, regi{\~a}o amaz{\^o}nica, Par{\'a}, 
                         Brasil",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156185",
         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 = "Sensoriamento remoto, convers{\~a}o, desmatamento, imagens de 
                         radar, imagens de sensor {\'o}ptico, Remote sensing, convercion, 
                         deforestation, radar imagens, optical sensor images.",
             abstract = "A an{\'a}lise de convers{\~a}o de {\'a}reas de florestas para 
                         {\'a}reas desmatadas tem sido cada vem mais comum na Regi{\~a}o 
                         Amaz{\^o}nica nos {\'u}ltimos anos, devido ao alto desmatamento, 
                         em que est{\'a} inserida a {\'a}rea de estudo trecho 
                         lim{\'{\i}}trofe de Senador Jos{\'e} Porf{\'{\i}}rio e Anapu, 
                         no estado do Par{\'a}. No intuito de contribuir com as 
                         medi{\c{c}}{\~o}es desses dados objetivou-se realizar 
                         an{\'a}lises multitemporais da biomassa por imagens de 
                         sat{\'e}lites, e dados secund{\'a}rios. A metodologia 
                         procedeu-se por uma an{\'a}lise multitemporal de 2018 a 2022 do 
                         Sentinel 1A tanto de imagens de radar por polarimetria, como a do 
                         Sentinel 2A por gera{\c{c}}{\~a}o de NDVI, com c{\'a}lculo das 
                         {\'a}reas. Al{\'e}m de an{\'a}lises dos dados secund{\'a}rios. 
                         Os resultados das imagens de radar e {\'o}pticas demonstraram 
                         mudan{\c{c}}as na biomassa e NDVI de 2018 a 2022, de 
                         convers{\~a}o de {\'a}reas florestadas para desmatadas de 
                         398,558 Km² (2,88%), com aumento de desmatamento de 51,57% (2018 a 
                         2022) de {\'a}reas desmatadas. ABSTRACT: A conversion analysis of 
                         forest areas has been increasingly common in the Amazon region in 
                         recent years, due to high deforestation, which is inserted in a 
                         study area bordering Senador Jos{\'e} Porf{\'{\i}}rio and 
                         Anapu, in the state of Par{\'a}, Brazil. In order to contribute 
                         to the measurements, these data and reach the multitemporal 
                         analysis of the biomass by radar satellite images and secondary 
                         data. The methodology was carried out by a multitemporal analysis 
                         from 2018 to 2022 of Sentinel 1A, both radar images by polarimetry 
                         and NDVI generation by Sentinel 2A, with calculation of areas. In 
                         addition to secondary data analysis. The results of radar and 
                         closed optical images of forests in biomass and by NDVI from 2018 
                         to 2022, from the conversion of forest to deforested areas of 
                         398,558 Km² (2.88%), with an increase in deforestation of 51.57% 
                         (2018 to 2022) of deforested areas.",
  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/495E3RS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495E3RS",
           targetfile = "156185.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "03 jun. 2024"
}