@Article{ShimabukuroAmarAherPiet:1998:LaCoCl,
               author = "Shimabukuro, Yosio Edemir and Amaral, Silvana and Ahern, Frank J. 
                         and Pietsch, R. W",
          affiliation = "{} and {} and Canada Centre for Remote Sensing, 588 Booth St., 
                         Ottawa, Ont. K1A OY7, Canada and Dendron Resources Ltd., 880 Lady 
                         Ellen Place, Ottawa, Ont. K1Z 5L9, Canada",
                title = "Land cover classification from Radarsat data of the Tapajos 
                         National Forest, Brazil",
              journal = "Canadian Journal of Remote Sensing",
                 year = "1998",
               volume = "24",
               number = "4",
                pages = "393--401",
                month = "Dec.",
             keywords = "VEGETACAO, FLORESTA NACIONAL DE TAPAJOS (PA), RADARSAT.",
             abstract = "The objective of this research was to analyse RADARSAT images for 
                         forest types and land cover classification. Image processing 
                         techniques used to enhance RADARSAT images and forest types 
                         discrimination are presented. An area including the Tapajos 
                         National Forest and its immediate surroundings, located in Para 
                         State, Brazil, was chosen for this investigation. The area to the 
                         east of the national forest is comprised of numerous small 
                         agricultural plots and abandoned areas with early secondary 
                         successional forest while the national forest itself is mainly 
                         undisturbed primary forest. RADARSAT standard and fine mode images 
                         were used in this study. Generally, the RADARSAT standard mode 
                         images showed good association with an existing vegetation map as 
                         characterized primarily by topographic features. Also, these 
                         images show recent clear cut areas, especially the S7D)image which 
                         has a high incidence angle. Several other image enhancement 
                         techniques were applied to the RADARSAT data for land cover 
                         assessment. For a more detailed analysis, the same methodological 
                         approach was applied to the RADARSAT fine mode images acquired 
                         over a small portion of the Tapajos National Forest. RADARSAT data 
                         present much more information through visual inspection than one 
                         can attain by using digital classification algorithms that are 
                         based on per-pixel classifications. This study shows the potential 
                         of RADARSAT (standard and fine mode)images for refining the 
                         vegetation cover type classification andfor updating the land 
                         cover class boundaries of an existing vegetation map.",
                 issn = "1712-7971",
                label = "1187",
             language = "en",
           targetfile = "INPE 7242.pdf",
        urlaccessdate = "08 maio 2024"
}