@InProceedings{FerreiraSSMFDCVRDSRR:2023:DiTeSu,
               author = "Ferreira, Bruno Gama and Souza J{\'u}nior, Carlos Moreira de and 
                         Schirmebeck, Juliano and Martin, Eduardo Velez and Franca Rocha, 
                         Washington and Duverger, Soltan Galano and Costa, Diego Pereira 
                         and Vasconcelos, Rodrigo Nogueira de and Raposo, Joaquim and 
                         Diniz, Cesar Guerreiro and Sadeck, Luis Waldyr Rodrigues and 
                         Ramos, Mariana Dias and Rosa, Eduardo Reis",
          affiliation = "{Instituto do Homem e Meio Ambiente da Amaz{\^o}nia (Imazon)} and 
                         {Instituto do Homem e Meio Ambiente da Amaz{\^o}nia (Imazon)} and 
                         {Geokarten Consultoria em Tecnologia da Informa{\c{c}}{\~a}o 
                         Ltda} and {Geokarten Consultoria em Tecnologia da 
                         Informa{\c{c}}{\~a}o Ltda} and {Universidade Estadual de Feira 
                         de Santana (UEFS)} and {Geodatin Intelig{\^e}ncia em dados e 
                         Geoinforma{\c{c}}{\~a}o} and {Geodatin Intelig{\^e}ncia em 
                         dados e Geoinforma{\c{c}}{\~a}o} and {Geodatin Intelig{\^e}ncia 
                         em dados e Geoinforma{\c{c}}{\~a}o} and {Instituto de Pesquisa 
                         Ambiental da Amaz{\^o}nia (IPAM)} and {Solved 
                         Solu{\c{c}}{\~o}es em Geoinforma{\c{c}}{\~a}o} and {Solved 
                         Solu{\c{c}}{\~o}es em Geoinforma{\c{c}}{\~a}o} and ArcPlan and 
                         ArcPlan",
                title = "Mapbiomas {\'a}gua: din{\^a}mica e tend{\^e}ncia da 
                         superf{\'{\i}}cie de {\'a}gua no 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 = "e156277",
         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 = "Superf{\'{\i}}cie de {\'A}gua, MapBiomas {\'A}gua, 
                         Sensoriamento Remoto, Earth Engine, Subpixel, Water Surface, 
                         MapBiomas Water, Remote Sensing, Earth Engine, Subpixel.",
             abstract = "A disponibilidade de dados Landsat e a plataforma Google Earth 
                         Engine permitiram a gera{\c{c}}{\~a}o de s{\'e}ries 
                         hist{\'o}ricas globais de superf{\'{\i}}cie de {\'a}gua, 
                         notavelmente o Global Surface Water (GSW) e, mais recente, o 
                         Global Surface Water Dynamics. Apesar dos avan{\c{c}}os para o 
                         entendimento da din{\^a}mica de superf{\'{\i}}cie de {\'a}gua 
                         trazidos por essas bases, h{\'a} desafios para a 
                         aplica{\c{c}}{\~a}o direta destes dados nas escalas de 
                         pa{\'{\i}}ses, regional e local. Os dados n{\~a}o s{\~a}o 
                         atualizados regularmente, a integra{\c{c}}{\~a}o com cadastros 
                         nacionais n{\~a}o {\'e} direta, e corpos h{\'{\i}}dricos de 
                         pequeno porte (1-5 hectares) n{\~a}o s{\~a}o mapeados. A 
                         iniciativa MapBiomas {\'A}gua {\'e} a primeira iniciativa 
                         nacional que tem como objetivo reconstruir a s{\'e}rie 
                         hist{\'o}rica de corpos h{\'{\i}}dricos do Brasil, e 
                         disponibilizar dados mensais de superf{\'{\i}}cie de {\'a}gua, 
                         e suas transi{\c{c}}{\~o}es e tend{\^e}ncias, desde 1985. Neste 
                         estudo, apresentamos a metodologia e os resultados da 
                         Cole{\c{c}}{\~a}o 1.0 do mapeamento de superf{\'{\i}}cie de 
                         {\'a}gua dos biomas brasileiros. ABSTRACT: The availability of 
                         Landsat data and the Google Earth Engine platform have enabled the 
                         generation of global historical surface water series, notably 
                         Global Surface Water (GSW) and, more recently, Global Surface 
                         Water Dynamics. Despite the advances in the understanding of water 
                         surface dynamics brought by these bases, there are challenges to 
                         the direct application of these data at country, regional and 
                         local scales. Data are not regularly updated, integration with 
                         national cadastres is not direct, and small water bodies (1-5 
                         hectares) are not mapped. The MapBiomas {\'A}gua initiative is 
                         the first national initiative that aims to reconstruct the 
                         historical series of water bodies in Brazil, and make available 
                         monthly water surface data, and their transitions and trends, 
                         since 1985. In this study, we present the methodology and results 
                         of Collection 1.0 of the water surface mapping of Brazilian 
                         biomes.",
  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/495H3TP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495H3TP",
           targetfile = "156277.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "20 maio 2024"
}