@InProceedings{ValerianoMelMorShiDua:2004:PrDiPr,
               author = "Valeriano, Dalton de Morisson and Mello, Eliana Maria Kalil and 
                         Moreira, Jose Carlos and Shimabukuro, Yosio Edemir and Duarte, 
                         Valdete",
                title = "Monitoring Tropical Forest from Space: The Prodes Digital 
                         Project",
            booktitle = "Proceedings...",
                 year = "2004",
                pages = "272--274",
         organization = "International Society for Photogrammetry and Remote Sensing, 20. 
                         (ISPRS).",
            publisher = "M. Orhan Altan",
                 note = "Technical Commission VIII, WG VII/3 Integrated Monitoring Systems 
                         for Resource Management I",
             keywords = "terrestrial, monitoring, land use, change detection, segmentation, 
                         classification, forestry, GIS.",
             abstract = "This paper presents the results of a new methodological approach 
                         to identify and to estimate deforested areas. The work refers to 
                         the PRODES DIGITAL PROJECT, which develops an automatic procedure 
                         to analyze satellite data, using the techniques of Linear Spectral 
                         Mixture Model, Image segmentation and Classification by regions, 
                         that are available on software SPRING (GEOREFERENCED INFORMATION 
                         PROCESSING SYSTEM), a state-of-the-art GIS and remote sensing 
                         image processing system with an object-oriented data model, which 
                         integrates raster and vector data representations in a single 
                         environment.",
  conference-location = "Istanbul, Turkey",
      conference-year = "12-23 July",
           copyholder = "SID/SCD",
            isbn/issn = "1682-1777",
                 issn = "16821750",
             language = "en",
           targetfile = "monitoring tropical forest.pdf",
               volume = "35 part. b",
        urlaccessdate = "20 maio 2024"
}