@Article{CardozoPereShimMora:2014:AnAsSp,
               author = "Cardozo, Francielle da Silva and Pereira, Gabriel and Shimabukuro, 
                         Yosio Edemir and Moraes, Elisabete Caria",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Department 
                         of GeoScience (DEGEO), Federal University of Sao Joao del Rei 
                         (UFSJ), Av. Visconde do Rio Preto, s/n, Col{\^o}nia do BengoSao 
                         Joao del Rei, Brazil and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Analysis and assessment of the spatial and temporal distribution 
                         of burned areas in the amazon forest",
              journal = "Remote Sensing",
                 year = "2014",
               volume = "6",
               number = "9",
                pages = "8002--8025",
             keywords = "Land use, Amazon forests, Amazon rain forest, Burned areas, Linear 
                         spectral mixture model, Spatial and temporal distribution, 
                         Deforestation.",
             abstract = "The objective of this study was to analyze the spatial and 
                         temporal distribution of burned areas in Rond{\^o}nia State, 
                         Brazil during the years 2000 to 2011 and evaluate the burned area 
                         maps. A Linear Spectral Mixture Model (LSMM) was applied to MODIS 
                         surface reflectance images to originate the burned areas maps, 
                         which were validated with TM/Landsat 5 and ETM+/Landsat 7 images 
                         and field data acquired in August 2013. The validation presented a 
                         correlation ranging from 67% to 96% with an average value of 86%. 
                         The lower correlation values are related to the distinct spatial 
                         resolutions of the MODIS and TM/ETM+ sensors because small burn 
                         scars are not detected in MODIS images and higher spatial 
                         correlations are related to the presence of large fires, which are 
                         better identified in MODIS, increasing the accuracy of the mapping 
                         methodology. In addition, the 12-year burned area maps of 
                         Rond{\^o}nia indicate that fires, as a general pattern, occur in 
                         areas that have already been converted to some land use, such as 
                         vegetal extraction, large animal livestock areas or diversified 
                         permanent crops. Furthermore, during the analyzed period, land use 
                         conversion associated with climatic events significantly 
                         influenced the occurrence of fire in Rond{\^o}nia and amplified 
                         its impacts.",
                  doi = "10.3390/rs6098002",
                  url = "http://dx.doi.org/10.3390/rs6098002",
                 issn = "2072-4292",
                label = "scopus 2014-11 SilvaCardozoPereShimMora:2014:AnAsSp",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}