@Article{ShimabukuroAraAndAraDua:2017:MaDeFo,
               author = "Shimabukuro, Yosio Edemir and Arai, Egidio and Anderson, Liana O. 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Duarte, 
                         Valdete",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento de Desastres Naturais (CEMADEN)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Mapping degraded forest areas caused by fires during the year 2010 
                         in mato grosso state, brazilian legal amazon using landsat-5 tm 
                         fraction images",
              journal = "Revista Brasileira de Cartografia",
                 year = "2017",
               volume = "69",
               number = "1",
                pages = "23--32",
                month = "jan./fev.",
             keywords = "Remote Sensing, Forest Degradation, Burned Areas, Forest Fires, 
                         Amazon Region, Sensoriamento Remoto, Seca de 2010, 
                         Degrada{\c{c}}{\~a}o Florestal, {\'A}reas Queimadas, 
                         Inc{\^e}ndios Florestais, Regi{\~a}o Amaz{\^o}nica.",
             abstract = "The objective of this study was to assess the extent of burned 
                         forest in 2010 in Mato Grosso State, located in the southern 
                         Brazilian Amazon region. Landsat TM images were acquired over the 
                         2010 dry season. Overall, the approach consisted on mapping burned 
                         areas over the entire study area and then overlaying it with the 
                         land cover types and biomass classes. Specifi cally, the forest 
                         areas degraded by fi res were mapped by combining the burned areas 
                         map and the forest map. The method to map burned areas was based 
                         on following procedure: (i) linear spectral mixing model applied 
                         to TM images to derive soil, vegetation and shade fraction images 
                         and (ii) the burned areas are identifi ed and mapped from the 
                         shade fraction images. The forest/non forest map was derived from 
                         Hansen et al. (2013) dataset and the biomass map was derived from 
                         Baccini et al. (2015). The mapped burned areas were then 
                         distributed in the three land cover types, i.e., forest, 
                         non-forest (Cerrado and old deforestation), and deforested areas 
                         from 2001 to 2010. Our results showed that 22,633 km2 (32%) of 
                         forests in Mato Grosso were burned during the year 2010, likely 
                         degrading the forest ecosystem. In addition, 5,175 km2 (7%) of 
                         burning occurred in the deforested areas from 2001 to 2010 and 
                         42,510 km2 (61%) occurred in the Cerrado and old deforestation 
                         areas. In addition the burned areas were distributed in the the 
                         biomass classes. These types of information are important for the 
                         carbon emission estimation. RESUMO: O objetivo deste estudo foi 
                         avaliar a extens{\~a}o da fl oresta queimada em 2010 no estado de 
                         Mato Grosso, localizado na regi{\~a}o sul da Amaz{\^o}nia 
                         Brasileira. As imagens TM Landsat foram adquiridas durante a 
                         esta{\c{c}}{\~a}o seca do ano de 2010. A abordagem consistiu 
                         basicamente no mapeamento das {\'a}reas queimadas sobre toda a 
                         {\'a}rea de estudo e ent{\~a}o sobrepondo os tipos de cobertura 
                         da terra e classes de biomassa. Especifi camente as {\'a}reas de 
                         fl oresta degradadas pelo fogo foram mapeadas pela 
                         combina{\c{c}}{\~a}o dos mapas de {\'a}reas queimadas e um mapa 
                         de {\'a}reas de fl oresta e n{\~a}o-fl oresta. O m{\'e}todo 
                         para mapear as {\'a}reas queimadas {\'e} baseado no seguinte 
                         procedimento: (i) modelo linear de mistura espectral aplicado as 
                         imagens TM para derivar imagens fra{\c{c}}{\~a}o de solo, 
                         vegeta{\c{c}}{\~a}o e sombra e (ii) as {\'a}reas queimadas 
                         s{\~a}o identifi cadas e mapeadas a partir das imagens 
                         fra{\c{c}}{\~a}o de sombra. O mapa de {\'a}reas de fl oresta 
                         /n{\~a}o fl oresta {\'e} derivado dos dados de Hansen et al. 
                         (2013) e o mapa de biomassa {\'e} derivado de Bacciniet al. 
                         (2015). As {\'a}reas de queimadas mapeadas s{\~a}o ent{\~a}o 
                         distribu{\'{\i}}das nos tr{\^e}s tipos de cobertura da terra, 
                         ou seja, fl oresta, n{\~a}o-fl oresta (Cerrado e desmatamento 
                         antigo) e as {\'a}reas desfl orestadas no per{\'{\i}}odo de 
                         2001 a 2010. Os resultados mostraram que 22.633 km2 (32%) de fl 
                         orestas no Mato Grosso foram queimados durante o ano de 2010, 
                         degradando o ecossistema fl orestal. Al{\'e}m disso, 5.175 km2 
                         (7%) de queimada ocorreram nas {\'a}reas desmatadas no 
                         per{\'{\i}}odo de 2001 a 2010 e 42.510 km2 (61%) ocorreram nas 
                         {\'a}reas de Cerrado e {\'a}reas de desmatamento antigo. 
                         Al{\'e}m disso as {\'a}reas queimadas afetaram as classes de 
                         biomassa. Essas informa{\c{c}}{\~o}es s{\~a}o importantes para 
                         a estimativa de emiss{\~a}o de carbono.",
                 issn = "0560-4613 and 1808-0936",
             language = "en",
           targetfile = "shimabukuro_mapping.pdf",
        urlaccessdate = "27 abr. 2024"
}