@InProceedings{AmaralShimAherLeve:1997:PrSeAn,
               author = "Amaral, Silvana and Shimabukuro, Yosio Edemir and Ahern, Frank J. 
                         and Levesque, Jose",
                title = "Pre-processing and semivariogram analysis of RADARSAT fine mode 
                         images for forest application-Tapajos National Forest, Brazilian 
                         Amazon",
                 year = "1997",
                pages = "1--13",
         organization = "Geomatics in the Era od RADARSAT International Conference.",
             keywords = "VEGETACAO, Amaz{\^o}nia (Regi{\~a}o), Floresta Nacional de 
                         Tapaj{\'o}s, Radarsat, modelo num{\'e}rico de terreno, 
                         florestas, imagens de radar, calibra{\c{c}}{\~a}o de imagens, 
                         proradar.",
             abstract = "This paper describes part of the activities developed in the 
                         PRORADAR (INPE/CCRS)evaluating the potentialities of RADARSAT 
                         images for forest application. The study site comprises the 
                         Tapajos National Forest, Par State, Brazil. Two RADARSAT fine mode 
                         images were used: SGF- F2, acquired on May 20, 1996 and SGX-F5 
                         acquired on May 05, 1996. In these images the relative image 
                         calibration and orthocorrection using geometrical modeling and the 
                         digital elevation model (DEM)were applied. The speckle filters 
                         (mediana, Lee and gamma)were tested over the images, considering 
                         different window sizes. Different forest types and land use 
                         classes were analyzed in the RADARSAT images: low plateau forest, 
                         two types of high plateau forest, disturbed forest, clearing and 
                         water. Since no significant difference between power average 
                         values for each class was observed, a semivariogram analyses were 
                         performed to evaluate its spatial variability. Although 
                         semivariograms varied according to the resampling procedure, they 
                         were considered an useful tool for discriminating land cover 
                         classes on RADARSAT images.",
  conference-location = "Ottawa, CA",
      conference-year = "May 25-30 1997",
           copyholder = "SID/SCD",
                label = "8327",
             language = "en",
         organisation = "Canadian International Development Angency",
           targetfile = "1997_amaral.pdf",
        urlaccessdate = "14 maio 2024"
}