@Article{QuintanoFernFernShim:2006:MaBuAr,
               author = "Quintano, Carmen and Fern{\'a}ndez-Manso, Alfonso and 
                         Fernandez-Manso, O. and Shimabukuro, Yosio Edemir",
          affiliation = "Universidad de Valladolid, Electronic Technology Department, 
                         Valladolid, Spain and Universidad de Leon, Department of Agrarian 
                         Engineering and Sciences, Leon, Spain and Universidad de Leon, 
                         Department of Agrarian Engineering and Sciences, Leon, Spain",
                title = "Mapping burned areas in Mediterranean countries using spectral 
                         mixture analysis from a uni-temporal perspective",
              journal = "International Journal of Remote Sensing",
                 year = "2006",
               volume = "27",
               number = "4",
                pages = "645--662",
                month = "Fev.",
             keywords = "Sub-pixel, forest fires, AVHRR, landsat, spectral mixture analysis 
                         (SMA), subject classification.",
             abstract = "The main aim of this study was to evaluate the usefulness of 
                         spectral mixture analysis (SMA) for mapping forest areas burned by 
                         fires in the Mediterranean area using low and medium spatial 
                         resolution satellite sensor data. A methodology requiring only one 
                         single post-fire image was used to carry out the study 
                         (uni-temporal techniques). This methodology is based on the 
                         contextual classification of the fraction images obtained after 
                         applying SMA to the original post-fire image. The results showed 
                         that the proposed method, using only one image acquired post-fire, 
                         could accurately identify the burned surface area (Kappa 
                         coefficient.0.8). The spatial resolution of the satellite images 
                         had practically no influence on the accuracy of the burned area 
                         estimate but did affect the possibility of detecting areas inside 
                         the perimeter of the burned area which were only slightly 
                         damaged.",
           copyholder = "SID/SCD",
                  doi = "10.1080/01431160500212195",
                  url = "http://dx.doi.org/10.1080/01431160500212195",
                 issn = "0143-1161",
             language = "en",
           targetfile = "IJRS_Carmen.pdf",
        urlaccessdate = "11 maio 2024"
}