@InProceedings{ShimabukuroDuArFrVaBrMa:2006:FrImDe,
               author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Arai, Egidio and 
                         Freitas, Ramon Morais de and Valeriano, Dalton de Morrison and 
                         Brown, Irving Foster and Maldonado, Monica de Los Rios",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais. Divis{\~a}o de 
                         Sensoriamento Remoto} and {Instituto Nacional de Pesquisas 
                         Espaciais. Divis{\~a}o de Sensoriamento Remoto} and {Instituto 
                         Nacional de Pesquisas Espaciais. Divis{\~a}o de Sensoriamento 
                         Remoto} and {Instituto Nacional de Pesquisas Espaciais. 
                         Divis{\~a}o de Sensoriamento Remoto} and {Instituto Nacional de 
                         Pesquisas Espaciais. Divis{\~a}o de Sensoriamento Remoto} and 
                         Woods Hole Research Center, Universidade Federal do Acre (UFAC), 
                         Rio Branco, AC, 69915-900, Brazil and {Woods Hole Research Center. 
                         Universidade Federal do Acre (UFAC)}",
                title = "Fraction Images Derived From Terra MODIS Data for Mapping Burned 
                         Area in Acre State, Brazilian Amazonia",
            booktitle = "Proceedings...",
                 year = "2006",
                pages = "4161 - 4164",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS); 
                         Canadian Symposium on Remote Sensing, 28.",
            publisher = "IEEE Geoscience and Remote Sensing Society,Canadian Remote Sensing 
                         Society,National Aeronautics and Space Administration, 
                         NASA,National Oceanic and Atmospheric Administration,Office of 
                         Naval Research",
             keywords = "Environmental impact, Fires, Image reconstruction, Image 
                         segmentation, Image analysis.",
             abstract = "The objective of this paper is to present a method for mapping 
                         burned areas in Brazilian Amazonia using Terra MODIS data. The 
                         proposed approach is based on INPEs PRODES Digital method that 
                         applies image segmentation to the fraction images derived from 
                         Landsat TM, using a nonsupervised classification per region 
                         algorithm followed by an image edition procedure for minimizing 
                         misclassifications. Acre State, located in the western region of 
                         Brazilian Amazonia, was considered for this study. The study area 
                         is primarily covered by tropical moist forests (Floresta Ombrofila 
                         Aberta) that has been deforested during the last decades. MODIS 
                         (MOD09) data used in this work were acquired on September 5 and 
                         15, 2005 and on October 12, 2005 over the study area. The INPEs 
                         DETER (Detection of Deforested Areas in Real Time Project) 2004 
                         dataset for Acre State was used to identify the land cover types 
                         affected by the fires. Landsat TM scene (path/row 002/67) acquired 
                         on October 13, 2005 and CBERS CCD (path/row 180/111) acquired on 
                         October 12, 2005 and field observations were also used as ground 
                         truth for supporting and validating the MODIS results. The results 
                         of multitemporal analysis with MODIS showed that about 6,500 km2 
                         of land surface were burned in Acre State. From this, 3,700 km2 
                         corresponded to the previously deforested areas and 2,800 km2 
                         corresponded to the forested areas. This information is critical 
                         for regional and global environmental studies. The results showed 
                         that MODIS sensor daily data is a useful source of information for 
                         mapping burned areas and the proposed method can be used in an 
                         operational project in Brazilian Amazonia.",
  conference-location = "Denver, CO",
      conference-year = "31 July - 4 Aug.",
                  doi = "10.1109/IGARSS.2006.1067",
                  url = "http://dx.doi.org/10.1109/IGARSS.2006.1067",
                 isbn = "{0780395107;978-078039510-7}",
             language = "en",
         organisation = "IEEE",
           targetfile = "05_23P04.pdf",
        urlaccessdate = "09 maio 2024"
}