@InProceedings{LimaRMASNMPGCBGSBMMT:2023:AdMeMa,
               author = "Lima, Deborah Lopes Correia and Ren{\'o}, Vivian Fr{\'o}es and 
                         Messias, Cassiano Gustavo and Almeida, Cl{\'a}udio Aparecido de 
                         and Soler, Luciana de Souza and Novo, Evlyn M{\'a}rcia Le{\~a}o 
                         de Moraes and Maurano, Luis Eduardo Pinheiro and Pires, Bernardo 
                         and Garcia, Pedro H. M. and Camilotti, Vagner Luis and Bastos, 
                         Eduardo Felipe Marcelino and Gusm{\~a}o, Luiz Henrique Almeida 
                         and Souza, Jefferson Jesus de and Barros, Luc{\'e}lia Souza de 
                         and Moraes, Douglas Rafael Vidal de and Moreira, Noeli Aline 
                         Particcelli and Teixeira, Ra{\'{\i}}ssa Caroline dos Santos",
          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)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Associa{\c{c}}{\~a}o Brasileira das Ind{\'u}strias de 
                         {\'O}leos Vegetais (ABIOVE)} and {Associa{\c{c}}{\~a}o 
                         Brasileira das Ind{\'u}strias de {\'O}leos Vegetais (ABIOVE)} 
                         and {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)} and {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 = "Monitoramento PRODES em {\'a}reas n{\~a}o florestais da 
                         Amaz{\^o}nia brasileira: adapta{\c{c}}{\~a}o metol{\'o}gica 
                         para o mapeamento da supress{\~a}o nas v{\'a}rzeas do Rio 
                         Solim{\~o}es/ Amaz{\^o}nas",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156145",
         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 = "PRODES, vegetation suppression, Amazon, v{\'a}rzea, visual 
                         interpretation.",
             abstract = "The Amazon v{\'a}rzea is a vast ecosystem that plays a critical 
                         social and economic role in the Amazon. The v{\'a}rzea is a 
                         complex environment composed of different vegetation types ranging 
                         from very dense flooded forests to grasslands. Moreover, 
                         vegetation features are affected by the Amazon basin rivers' flood 
                         pulse. That complexity makes it challenging to map and estimate 
                         vegetation suppression. This study applied methodological 
                         adaptations to the Brazilian Amazon Rainforest Satellite 
                         Monitoring Program (PRODES) for mapping vegetation suppression in 
                         the Amazon v{\'a}rzea. The preliminary results showed that those 
                         adaptations allowed the interpreters to identify a more 
                         significant number of suppression-related features. The increase 
                         in the v{\'a}rzea vegetation suppression area was, on average, 
                         eight times larger than those using the original method. In 
                         summary, the proposed changes helped improve the interpretation of 
                         vegetation suppression in complex v{\'a}rzeas 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/492QHQL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/492QHQL",
           targetfile = "156145.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "23 maio 2024"
}