@InProceedings{RechUdaSilv:2023:DaNeRa,
               author = "Rech, Bruno and Uda, Patr{\'{\i}}cia Kazue and Silva, Bernardo 
                         Barbosa da",
          affiliation = "{Universidade Federal de Santa Catarina (UFSC)} and {Universidade 
                         Federal de Santa Catarina (UFSC)} and {Universidade Federal de 
                         Campina Grande (UFCG)}",
                title = "Daily Net Radiation Over Different Land Cover Classes in Lagoa da 
                         Concei{\c{c}}{\~a}o Watershed, Florian{\'o}polis, Brazil",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Vinhas, Lubia (INPE) and Feitosa, Flavia F. (UFABC)",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 24. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Net radiation represents the difference between incoming and 
                         outcoming radiation over Earths surface and is a crucial 
                         environmental parameter that can be derived from remote sensing 
                         data. This study aimed to retrieve daily net radiation over Lagoa 
                         da Concei{\c{c}}{\~a}o Watershed, in Florian{\'o}polis, Brazil. 
                         For that purpose, surface albedo was obtained from Landsat 8 
                         imagery over eight land cover classes and radiation data was 
                         obtained from a weather station. The results showed mean daily net 
                         radiation estimates ranging from 64 Wm-2 over dunes to 136 Wm-2 
                         over water surfaces, with important seasonal variations. The 
                         employed methods proved to be easy to apply and the results can 
                         indicate where further studies should focus.",
  conference-location = "On-line",
      conference-year = "04 a 06 dez. 2023",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/4ADCMMP",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/4ADCMMP",
           targetfile = "Rech_Daily.pdf",
        urlaccessdate = "13 maio 2024"
}