@InProceedings{TejadaPinellBassCassGatt:2020:ThPrLa,
               author = "Tejada Pinell, Graciela and Basso, Luana Santamaria and Cassol, 
                         Henrique Luis Godinho and Gatti, Luciana Vanni",
          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)}",
                title = "Is there a proper land use and land cover dataset to assess the 
                         human impact on CO2 fluxes in the Pan-Amazon?",
            booktitle = "Anais...",
                 year = "2020",
               editor = "Castro, Aline Anderson de and Giarolla, Ang{\'e}lica and 
                         Cordeiro, Carlos Leandro de Oliveira and von Randow, Celso and 
                         Rodriguez, Daniel Andr{\'e}s and Bezerra, Francisco Gilney Silva 
                         and Naccarato, Kleber Pinheiro and Cardoso, Manoel Ferreira and 
                         Gomez, Nhilce Nahomi Esquivel and Kampel, Silvana Amaral",
         organization = "Simp{\'o}sio da P{\'o}s-Gradua{\c{c}}{\~a}o Em Ci{\^e}ncia do 
                         Sistema Terrestre, 9. (SPGCST)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Mudan{\c{c}}a no uso e cobertura da terra, Amaz{\^o}nia, 
                         emiss{\~o}es de CO2, Land use and cover change, Amazon, CO2 
                         emissions.",
             abstract = "Na floresta Pan-Amaz{\^o}nica as principais emiss{\~o}es de CO2 
                         ocorrem por mudan{\c{c}}as de uso e cobertura da terra (MUCT), 
                         principalmente do desmatamento e da degrada{\c{c}}{\~a}o 
                         florestal. Para uma melhor compreens{\~a}o do fluxo de CO2 medido 
                         pelo projeto CARBAM, s{\~a}o necess{\'a}rios dados de MUCT 
                         multitemporais para a regi{\~a}o Pan-Amaz{\^o}nica que reflitam 
                         o impacto humano. Comparamos brevemente as classes de MUCT de 2010 
                         a 2018 do PRODES, TerraClass e MapBiomas Amaz{\^o}nia. As 
                         diferentes abordagens metodol{\'o}gicas do uso de uma 
                         m{\'a}scara de desmatamento, tornam a classifica{\c{c}}{\~a}o 
                         das classes MUCT diferentes. Apenas o MapBiomas Amaz{\^o}nia 
                         possui dados de MUCT para toda a Pan-Amaz{\^o}nia. Com base nas 
                         caracter{\'{\i}}sticas de cada conjunto de dados de MUCT, 
                         oferecemos recomenda{\c{c}}{\~o}es sobre como 
                         poder{\'{\i}}amos junt{\'a}-los, incluindo outros estudos que 
                         consideram a vegeta{\c{c}}{\~a}o secund{\'a}ria e a 
                         degrada{\c{c}}{\~a}o para ter um conjunto de dados MUCT anual 
                         para a Pan-Amaz{\^o}nia. ABSTRACT: The main CO2 emissions in the 
                         Pan-Amazon region come from land use and cover change (LUCC), 
                         mainly deforestation and degradation. To better understand the CO2 
                         fluxes along this region, it is necessary to assess if the CO2 
                         measurements, collected by the CARBAM project, have any relation 
                         with multitemporal LUCC data for the Pan-Amazon region that 
                         reflect the human impact. We briefly compared the LUCC data 
                         classes from 2010 to 2018 of the Deforestation Monitoring Program 
                         known as PRODES, TerraClass and MapBiomas Amazonia. The different 
                         methodological approach of using a mask of deforestation, make the 
                         LUCC classes classification different. Only MapBiomas Amazonia has 
                         LUCC for the whole Pan-Amazon. Based in each LUCC dataset 
                         characteristics we give recommendation on how we could join them 
                         including other studies which consider secondary vegetation and 
                         degradation to have an annual LUCC dataset for the Pan-Amazon.",
  conference-location = "S{\~A}O JOS{\'E} DOS CAMPOS",
      conference-year = "8-11 dez. 2020",
                 isbn = "978-65-00-12958-8",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34P/43U8PGS",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/43U8PGS",
           targetfile = "SPGCST027.pdf",
                 type = "Ci{\^e}ncia do Sistema Terrestre",
        urlaccessdate = "28 abr. 2024"
}