@Article{ShimabukuroADFLVBM:2009:FrImDe,
               author = "Shimabukuro, Yosio Edemir and Arai, Eg{\'{\i}}dio and Duarte, 
                         Valdete and Freitas, Ramon Morais de and Lima, Andr{\'e} and 
                         Valeriano, Dalton de Morisson and Brown, I. F. and Maldonado, M. 
                         L. R.",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and undefined and Woods Hole Research 
                         Center, Universidade Federal do Acre (UFAC), Parque Zoobotanico, 
                         Rio Branco and Woods Hole Research Center, Universidade Federal do 
                         Acre (UFAC), Parque Zoobotanico, Rio Branco",
                title = "Fraction images derived from Terra Modis data for mapping burnt 
                         areas in Brazilian Amazonia",
              journal = "International Journal of Remote Sensing",
                 year = "2009",
               volume = "30",
               number = "6",
                pages = "1537--1546",
                month = "Mar.",
             keywords = "Brazilian Amazonia, Burnt areas, Dry seasons, Environmental 
                         studies, Field observations, Forest fires, Fraction images, Ground 
                         data, High temporal resolution, Image editing, Land managements, 
                         Land surface, Landsat-5, Misclassifications, MODIS sensors, 
                         Multi-temporal analysis, Non-supervised classification, 
                         Operational projects, Terra-MODIS, TM image, Tropical 
                         deforestation, Western region, Deforestation, Disasters, Drought, 
                         Land use, Mapping, Spectrometers, algorithm, deforestation, forest 
                         fire, image analysis, image classification, Landsat thematic 
                         mapper, mapping method, MODIS, satellite data, segmentation, 
                         temporal analysis, unsupervised classification, Deforestation, 
                         Disasters, Drought, Land Use, Mapping, Spectrometers, Acre 
                         [Brazil], Amazonia, Brazil, South America.",
             abstract = "The objective of this paper is to present a method for mapping 
                         burnt areas in Brazilian Amazonia using Terra MODIS data. The 
                         proposed approach is based on image segmentation of the shade 
                         fraction images derived from MODIS, using a non-supervised 
                         classification algorithm followed by an image editing procedure 
                         for minimizing misclassifications. Acre State, the focus of this 
                         study, is located in the western region of Brazilian Amazonia and 
                         undergoing tropical deforestation. The extended dry season in 2005 
                         affected this region creating conditions for extensive forest 
                         fires in addition to fires associated with deforestation and land 
                         management. The high temporal resolution of MODIS provides 
                         information for studying the resulting burnt areas. Landsat 5 TM 
                         images and field observations were also used as ground data for 
                         supporting and validating the MODIS results. Multitemporal 
                         analysis with MODIS showed that about 6500 km2 of land surface 
                         were burnt in Acre State. Of this, 3700 km2 corresponded to the 
                         previously deforested areas and 2800 km2 corresponded to areas of 
                         standing forests. This type of information and its timely 
                         availability are critical for regional and global environmental 
                         studies. The results showed that daily MODIS sensor data are 
                         useful sources of information for mapping burnt areas, and the 
                         proposed method can be used in an operational project in Brazilian 
                         Amazonia.",
                  doi = "10.1080/01431160802509058",
                  url = "http://dx.doi.org/10.1080/01431160802509058",
                 issn = "0143-1161",
                label = "lattes: 0464617687774083 5 ShimabukuroDAFLVBM:2009:FrImDe",
             language = "en",
           targetfile = "983366_913092267_910650023.pdf",
        urlaccessdate = "06 maio 2024"
}