@InProceedings{OliveiraJúniorAdam:2023:EsBiCa,
               author = "Oliveira J{\'u}nior, Luis Augusto Lima and Adami, Marcos",
          affiliation = "{Universidade Federal do Par{\'a} (UFPA_} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                title = "Estimativas de biomassa e carbono em {\'a}reas de 
                         vegeta{\c{c}}{\~a}o secund{\'a}ria no territ{\'o}rio 
                         paraense",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155620",
         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 = "Vegeta{\c{c}}{\~a}o Secund{\'a}ria, biomassa, carbono, 
                         TerraClass, Estado do Par{\'a}, Secondary vegetation, biomass, 
                         carbon, TerraClass, State of Par{\'a}.",
             abstract = "Com a intensifica{\c{c}}{\~a}o da din{\^a}mica de 
                         mudan{\c{c}}a de uso e cobertura da terra na Amaz{\^o}nia, a 
                         Vegeta{\c{c}}{\~a}o Secund{\'a}ria (VS) est{\'a} cada vez mais 
                         presente na paisagem da regi{\~a}o. Seu papel na 
                         mitiga{\c{c}}{\~a}o das mudan{\c{c}}as do clima vem sendo 
                         estudado por cientistas para entender qual sua 
                         contribui{\c{c}}{\~a}o no sequestro do carbono da atmosfera. 
                         Este trabalho teve o objetivo de estimar a biomassa e carbono da 
                         VS no Par{\'a} em 2014. O m{\'e}todo utilizou a vari{\'a}vel 
                         GSDY, calculada com dados de idade da VS, temperatura e 
                         precipita{\c{c}}{\~a}o. A vari{\'a}vel GSDY foi inserida num 
                         modelo que gerou as estimativas. Foram mapeados aproximadamente 
                         6,9 milh{\~o}es de hectares (ha) de VS no Par{\'a} o que 
                         representou mais de 2 bilh{\~o}es de toneladas (t) de biomassa (1 
                         bilh{\~a}o de t de carbono). Desse total mais de 2,8 milh{\~o}es 
                         de ha de VS encontravam-se vulner{\'a}veis em 2014 de acordo com 
                         as normas da IN08/2015. ABSTRACT: With the intensification of land 
                         use and land cover change dynamics in the Amazon, Secondary 
                         Vegetation (SV) is increasingly present in the region's landscape. 
                         Scientists have studied its role in mitigating climate change to 
                         understand its contribution to carbon sequestration from the 
                         atmosphere. This work aimed to estimate biomass and carbon for SV 
                         in Par{\'a} in 2014. The method uses the variable GSDY (Growth 
                         Season Degrees-Years), calculated with SV age (TerraClass), 
                         temperature, and precipitation data. The variable GSDY was 
                         inserted in a model that generated the estimates. Approximately 
                         6.9 million hectares (ha) of VS were mapped in Par{\'a}, which 
                         represented more than 2 billion tons (t) of biomass (1 billion t 
                         of carbon). In this total, more than 2.8 million ha of SV were 
                         vulnerable in 2014, according to IN08/2015.",
  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/4948RQE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/4948RQE",
           targetfile = "155620.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "05 maio 2024"
}