@InProceedings{DutraHerMazSouOli:1999:LaCoCl,
               author = "Dutra, Luciano Vieira and Hernandez Filho, Pedro and Mazzocato, M. 
                         E. and Souza, Ricardo Cardaxo Modesto and Oliver, Chris",
                title = "Land cover classification based on multi-date JERS-1 imagery as a 
                         basis for deforestation detection",
            booktitle = "Proceedings...",
                 year = "1999",
                pages = "2759--2762",
         organization = "International Geoscience and Remote Sensing Symposium, 
                         (IGARSS'99).",
             keywords = "Algorithms, Forestry, Image segmentation, Land use, Mapping, 
                         Simulated annealing, Synthetic aperture radar, Deforestation 
                         detection, Land cover classification, Standard segmentation 
                         routine, Visual interpretation, Radar imaging.",
             abstract = "Deforestation detection is a key issue on tropical environment 
                         monitoring. Its has been done in Brazil based mainly on visual 
                         interpretation of optical images. Cloud coverage, however, is an 
                         impediment to have reliable estimates over several Amazonian 
                         areas. L band SAR data is a promising information source to 
                         monitor those areas. One possible approach, used in this work, is 
                         to analyse land use/cover change between successive dates to spot 
                         deforestation, being each consecutive land cover map obtained 
                         through JERS-1 land use/cover classification. Initially, each 
                         JERS-1 image is speckle filtered and a standard segmentation 
                         routine is then applied to each filtered channel. The result is an 
                         image in which each segment is represented by the average 
                         backscatter level within that segment. After segmentation stage, 
                         the segments are classified into four land use/cover classes of 
                         interest: pasture+bare soil, dirty pasture, secondary and primary 
                         forest, producing a land cover map for each year. Analysing the 
                         changes on the 1996 land cover maps related to the 1995 map, it 
                         was possible to point out areas of deforestation and other change 
                         classes. An assessment is done over an well known area near the 
                         Tapajos National Forest (Flona), in Para State, Brazil. The land 
                         use/cover maps and the change map are compared to reference areas 
                         defined by visual interpretation.",
  conference-location = "Hamburg, Germany",
      conference-year = "6-10 1999",
                label = "8890",
             language = "en",
         organisation = "IEEE Geoscience and Remote Sensing Society; University of Hamburg; 
                         NASA; NOAA",
           targetfile = "1999_dutra.pdf",
        urlaccessdate = "23 maio 2024"
}