@InProceedings{MantovaniSetz:1996:ChDeMe,
               author = "Mantovani, Angelica C. Di Maio and Setzer, Alberto Waingort",
          affiliation = "UNIVAP",
                title = "A change detection methodology for the Amazon Forest using 
                         multitemporal NOAA/AVHRR data and GIS-preliminary results",
                 year = "1996",
                pages = "43--46",
         organization = "International Symposium on Remote Sensing and GIS for Site 
                         Characterization, Aplications and Standards.",
            publisher = "American Society for Testing and Materials",
             keywords = "Database systems, Digital signal processing, Forestry, Geographic 
                         information systems, Image processing, Mapping, Radiometers, 
                         Satellites, Advanced very high resolution radiometer, Amazon 
                         tropical forest, Change detection methodology, Deforestation, 
                         Satellite images, Remote sensing.",
             abstract = "This paper describes initial results of a methodology developed to 
                         locate new deforestation in the Amazon Tropical forest. It 
                         combines automatic classification of the Advanced Very High 
                         Resolution Radiometer (NOAA/AVHRR)satellite images and a 
                         Geographic Information System (GIS)data base. Full resolution and 
                         geometrically corrected AVHRR channel 3 (3.7 m)images of different 
                         dates of the Amazon region are automatically compared in digital 
                         form. Places where changes in the original cover of the vegetation 
                         are detected between any two different images have their locations 
                         determined through a GIS. Initial tests in the north of the state 
                         of Mato Grosso, Brazil, are presented indicating the possibility 
                         of using AVHRR imagery operationally to detect new deforestation. 
                         Results comparing deforestation in the AVHRR channel 3 with 
                         corresponding high resolution LANDSAT-Thematic Mapper (TM)images 
                         indicated 56.5 of AVHRR correct location for 221 polygons of 
                         deforestation with different sizes. 90 of correct locations was 
                         obtained for the 50 TM polygons with deforestation greater than 
                         3.1 Km2.",
  conference-location = "San Francisco, USA",
      conference-year = "27-28 Jan. 1994",
                 issn = "00660558",
                label = "7807",
             language = "en",
           targetfile = "INPE 6440.pdf",
        urlaccessdate = "01 maio 2024"
}