@InProceedings{ShimabukuroDuarSantBati:2000:MaMoDe,
               author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Santos, 
                         Jo{\~a}o Roberto dos and Batista, Get{\'u}lio Teixeira",
                title = "Mapping and monitoring deforestation areas in Amazon region using 
                         semi-automatic classification of Landsat Thematic Mappers Images",
            booktitle = "Proceedings...",
                 year = "2000",
                pages = "1999--2001",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
             keywords = "Forestry, Image processing, Mapping, Monitoring, Satellite 
                         observatories, Deforestation, Remote sensing.",
             abstract = "The INPE's operational project (PRODES)to estimate annual gross 
                         deforestation in Amazon region based on manual analysis of 229 TM 
                         images faces several problems during the interpretation process 
                         (variable scales of different scenes, closing polygons in the 
                         interpretation maps due to complexity of deforestation pattern). 
                         Thus, the availability of results in a digital format has been 
                         restricted. This paper proposes an approach to map and monitor 
                         deforested areas in the Amazon using digital analysis of 
                         TM/Landsat, This methodology will automate the PRODES manual 
                         interpretation tasks and will build a GIS database. This approach 
                         was developed and validated using TM image Path 231/067 (1997, 
                         1998, and 1999)over Rondonia. The original TM bands were converted 
                         to vegetation, soil, and shade fraction images applying a linear 
                         mixing model. The selected fraction image was segmented using a 
                         region growing algorithm, classified using a per region clustering 
                         algorithm and the results were manually edited to generate the 
                         final map. Results showed 10,252 Km2 of deforestation up to 1997; 
                         increments in the deforested area for 1998 and 1999 were 695 and 
                         388 km2, respectively. A total of 1,149 Km2 was burned in 1998 
                         (only 16 in recent clear cut areas. The proposed metodology is 
                         feasible and very usuful for global studies using fine resolution 
                         satellite data such as Landsat TM.",
  conference-location = "Honolulu, Hawaii",
      conference-year = "24-28 July 2000",
                 isbn = "0-7803-6359-0",
                label = "9032",
             language = "en",
         organisation = "IEEE",
               volume = "5",
        urlaccessdate = "22 maio 2024"
}