@InProceedings{AmaralCursAlme:2023:MoAtFo,
               author = "Amaral, Silvana and Cursino, Mariana M. S. and Almeida, 
                         Cl{\'a}udio Aparecido de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Monitoring Atlantic forest deforestation by remote sensing 
                         systems",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155610",
         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 = "Atlantic Forest, deforestation, monitoring, remote sensing.",
             abstract = "The Brazilian Atlantic Forest (MA) is a biodiversity hotspot, 
                         subject to historic and intense deforestation. Currently, three 
                         main monitoring systems based on satellite images monitor 
                         deforestation in the MA: The Atlas of forest remnants (SOS Mata 
                         Atl{\^a}ntica/INPE), MapBiomas, and PRODES-MA. To understand the 
                         contribution of each system and better interpret its results, this 
                         work presents their differences in concepts, methodologies, and 
                         characteristics. The Atlas has been fundamental for the definition 
                         of municipal and state public policies. MapBiomas highlights the 
                         main land cover class conversions, and PRODES-MA is a reference 
                         for the national climate change policy. The methodological 
                         advances foreseen with the use of better-resolution images and 
                         semi-automatic detection techniques are also identified. Observing 
                         the nature, advantages, and limitations of each system enables us 
                         to identify the complementarity of the information to better 
                         communicate monitoring data and contribute to the prevention, 
                         control, and mitigation of deforestation in the Atlantic Forest.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/492Q3NL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/492Q3NL",
           targetfile = "155610.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "05 maio 2024"
}