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@Article{ShimabukuroBeucGrecAcha:2014:AsFoDe,
               author = "Shimabukuro, Yosio Edemir and Beuchle, Ren{\'e} and Grecchi, 
                         Rosana Cristina and Achard, Fr{\'e}d{\'e}ric",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessment of forest degradation in Brazilian Amazon due to 
                         selective logging and fires using time series of fraction images 
                         derived from Landsat ETM+ images",
              journal = "Remote Sensing Letters",
                 year = "2014",
               volume = "5",
               number = "9",
                pages = "773--782",
             abstract = "A method has been developed to identify and map areas of forest 
                         degradation caused by either selective logging or fires in 
                         tropical humid ecosystems. Our study area is located in the Mato 
                         Grosso state of Brazil, in a region known as Deforestation Arc. 
                         Eight consecutive Landsat Enhanced Thematic Mapper Plus (ETM+) 
                         images were available over this study area during the dry season 
                         of 2002 (from June to October). The proposed method is based on 
                         multi-temporal image segmentation and classification of a data set 
                         of soil and shade fraction images derived from Landsat ETM+ 
                         imagery. Areas of selectively logged forest are identified and 
                         mapped from the soil fraction images, whereas burned forest areas 
                         are identified and mapped from the shade fraction images combined 
                         with a map of deforestation happening during 2002. The main 
                         benefit of this approach is the capability to discriminate 
                         selectively logged forest from burned forest, which is a very 
                         important issue for estimating carbon emissions from forest 
                         degradation.",
                  doi = "10.1080/2150704X.2014.967880",
                  url = "http://dx.doi.org/10.1080/2150704X.2014.967880",
                 issn = "2150-704X",
                label = "lattes: 1913003589198061 1 ShimabukuroBeucGrecAcha:2014:AsFoDe",
             language = "en",
        urlaccessdate = "29 nov. 2020"
}


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