@Article{QuintanoShimFernDelg:2005:SpUnAp,
               author = "Quintano, Carmen and Shimabukuro, Yosio Edemir and Fern{\'a}ndez, 
                         Alberto B. and Delgado, Jose A.",
          affiliation = "Universidad de Valladolid, Electronic Technology Department, 
                         Valladolid, Spain and {} and Universidad de Cadiz, Laboratorio de 
                         Astronom{\'{\i}}a Geodesia y Cartograf{\'{\i}}a, Cadiz, Spain 
                         and Universidad de Leon, Department of Agrarian Engineering and 
                         Sciences, Leon, Spain",
                title = "A spectral unmixing approach for mapping burned areas in 
                         Mediterranean countries",
              journal = "International Journal of Remote Sensing",
                 year = "2005",
               volume = "26",
               number = "7",
                pages = "1493--1498",
                month = "Apr.",
             keywords = "Fires, Geographical regions, Image analysis, Imaging techniques, 
                         Radiometers, Advanced very high resolution radimeter (AVHRR), 
                         Mediteranean countries, National oceanic and atmospheric 
                         administration (NOAA), Spectral mixture analysis (SMA), 
                         Photomapping, AVHRR, burning, forest fire, image analysis, NOAA 
                         satellite, remote sensing, Mediterranean Region, Mediterranean 
                         Sea, oceanic regions, World.",
             abstract = "The principal aim of this Letter is to evaluate the usefulness of 
                         Spectral Mixture Analysis (SMA) for estimating the area burned by 
                         forest fires in Mediterranean countries using National Oceanic and 
                         Atmospheric Administration (NOAA) Advanced Very High Resolution 
                         Radiometer (AVHRR) unitemporal data. The results show that the 
                         method, using an image acquired just after the fire occurrence, is 
                         capable of discriminating burned area accurately ( Kappa 
                         coefficient >0.76).",
           copyholder = "SID/SCD",
                  doi = "10.1080/01431160412331330220",
                  url = "http://dx.doi.org/10.1080/01431160412331330220",
                 issn = "0143-1161",
             language = "en",
           targetfile = "quintano - a spectral unmixing approach.pdf",
        urlaccessdate = "11 maio 2024"
}