@InProceedings{PeresLiboDaCa:2007:LaTeRe,
               author = "Peres, L. F. and Libonati, R. and DaCamra, C. C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Lisbon} and {University of Lisbon}",
                title = "Land-Surface Temperature Retrieval from MSG/SEVIRI over Brazil 
                         Using Emissivity Maps Derived from MODIS Data",
            booktitle = "Proceedings...",
                 year = "2007",
         organization = "32nd International Symposium on Remote Sensing of Environment",
             keywords = "land-surface temperature, land-surface emissivity.",
             abstract = "In the present work a split-window (SW) algorithm is developed in 
                         the framework of Brazilian National Institute for Space Research 
                         (INPE)/Center for Weather Forecast and Climatic Studies (CPTEC) in 
                         order to derive land-surface temperature from Meteosat Second 
                         Generation (MSG)/Spinning Enhanced Visible and Infrared Imager 
                         (SEVIRI) data over Brazil. In addition, we have computed different 
                         regression models relating land-surface emissivity (LSE) in the 
                         SEVIRI thermal infrared (TIR) bands to LSE in MODIS bands. The 
                         obtained equations allow deriving LSE in SEVIRI TIR bands as a 
                         linear combination of emissivities retrieved from 5-km MODIS LSE 
                         product in order to be used as input to the developed SW 
                         algorithm.",
  conference-location = "San Jose - Costa Rica",
      conference-year = "25 - 29 junho",
           copyholder = "SID/SCD",
             language = "en",
           targetfile = "peres_land.pdf",
        urlaccessdate = "28 abr. 2024"
}