@InProceedings{BerniniFariBordAssi:2023:FiDeFr,
               author = "Bernini, Henrique and Faria, Daniela R. G. de and Bordin, Bruno L. 
                         S. and Assis, Jos{\'e} de Paula",
          affiliation = "{Centro Gestor e Operacional do Sistema de Prote{\c{c}}{\~a}o da 
                         Amaz{\^o}nia (CENSIPAM)} and {Centro Gestor e Operacional do 
                         Sistema de Prote{\c{c}}{\~a}o da Amaz{\^o}nia (CENSIPAM)} and 
                         {Centro Gestor e Operacional do Sistema de Prote{\c{c}}{\~a}o da 
                         Amaz{\^o}nia (CENSIPAM)} and {Centro Gestor e Operacional do 
                         Sistema de Prote{\c{c}}{\~a}o da Amaz{\^o}nia (CENSIPAM)}",
                title = "Fire detection frequency performance based on geostationary and 
                         polar-orbiting satellites blending for fireflightning dipatch",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156247",
         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 = "fire detection, temporal resolution, near real time, fire 
                         dispatch, Amazon forest.",
             abstract = "Active fire time series from the VIIRS and MODIS sensors bring 8 
                         possibilities of fire detection when integrated in a 24 hours 
                         timeframe. GOES-16 satellite has a geostationary orbit and 
                         produces one image every 10 minutes. In order to reduce the window 
                         without fire detection between polar orbit satellites passes, 
                         Censipam has integrated an automatic status into the active fire 
                         event product that considers the integration of GOES-16 satellite. 
                         The goal of this paper is to present the integration methodology 
                         and, as a result, show the performance of blended temporal 
                         resolution from geostationary and polar-orbiting satellites and 
                         its impact in fire detection. The result showed that 14% of fire 
                         events from June to September 2022 intersected with GOES data. For 
                         medium, large and very large events, it reached about 100%. The 
                         average increase in detection was about 100% higher for each event 
                         area class, when compared to the smaller one.",
  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/493QMQP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/493QMQP",
           targetfile = "156247.pdf",
                 type = "Queimadas e Inc{\^e}ndios Florestais",
        urlaccessdate = "02 jun. 2024"
}