@AudiovisualMaterial{MirandaGama:2025:EvFiFi,
             abstract = "Human-induced fires contribute significantly to CO2 emissions and 
                         forest loss in the brazilian Amazon. In this context, synthetic 
                         aperture radars emerge as a viable alternative for monitoring 
                         tropical regions under constant influence of adverse weather 
                         conditions. Thus, the present study aims to evaluate the 
                         performance of different filters and filtering windows for 
                         ALOS-2/PALSAR-2 data for subsequent detection of burned areas in a 
                         portion of the Tapajos Nati- ´ onal Forest - Para. Quantitative 
                         and qualitative analyses indicated that the Lee 9x9 filter was the 
                         most effective for pre-fire images, while the Gamma 7x7 filter 
                         performed better in post-fire images.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
               author = "Miranda, Bruno Guerreiro and Gama, Fabio Furlan",
                 city = "S{\~a}o Jos{\'e} dos Campos",
       conferencename = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 25 (GEOINFO)",
                 date = "19 a 21 mai. 2025",
                 issn = "2179-4847",
             language = "en",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
     publisheraddress = "S{\~a}o Jos{\'e} dos Campos",
                  ibi = "8JMKD2USPTW34P/4EDB7FS",
                  url = "http://urlib.net/ibi/8JMKD2USPTW34P/4EDB7FS",
           targetfile = "Banner_GeoINFO_2025_BrunoMiranda.pdf",
                title = "Evaluation of Filters and Filtering Windows in SAR Data for 
                         Detecting Fire Degradation in the Tapajos National Forest",
                 type = "Geoinforma{\c{c}}{\~a}o",
                 year = "2025",
        urlaccessdate = "2025, Nov. 15"
}