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@Article{SilvaParaFreiOliv:2013:EvDiCl,
               author = "Silva, A. Q. and Paradella, Waldir Renato and Freitas, Corina da 
                         Costa and Oliveira, Cleber Gonzales de",
          affiliation = "Institute of Geoscience, Federal University of Par{\'a} (UFPA), 
                         Rua Augusto Corr{\^e}a, 01-Guam{\'a}, Caixa postal 479, 
                         Bel{\'e}m-PA, 66075-110, Brazil and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Latitude Consultoria Ltd., Av. S{\~a}o 
                         Jo{\~a}o, 2400-C-201-Jardim Colinas, S{\~a}o Jos{\'e} dos 
                         Campos-SP",
                title = "Evaluation of digital classification of polarimetric SAR data for 
                         iron-mineralized laterites mapping in the Amazon Region",
              journal = "Remote Sensing",
                 year = "2013",
               volume = "5",
               number = "6",
                pages = "3101--3122",
                month = "June",
             keywords = "polarimetric SAR, digital classification, geology laterites 
                         mapping, Caraj{\'a}s Province.",
             abstract = "This study evaluates the potential of C- and L-band polarimetric 
                         SAR data for the discrimination of iron-mineralized laterites in 
                         the Brazilian Amazon region. The study area is the N1 plateau 
                         located on the northern border of the Caraj{\'a}s Mineral 
                         Province, the most important Brazilian mineral province which has 
                         numerous mineral deposits, particularly the worlds largest iron 
                         deposits. The plateau is covered by low-density savanna-type 
                         vegetation (campus rupestres) which contrasts visibly with the 
                         dense equatorial forest. The laterites are subdivided into three 
                         units: chemical crust, iron-ore duricrust, and hematite, of which 
                         only the latter two are of economic interest. Full polarimetric 
                         data from the airborne R99B sensor of the SIVAM/CENSIPAM (L-band) 
                         system and the RADARSAT-2 satellite (C-band) were evaluated. The 
                         study focused on an assessment of distinct schemes for digital 
                         classification based on decomposition theory and hybrid approach, 
                         which incorporates statistical analysis as input data derived from 
                         the target decomposition modeling. The results indicated that the 
                         polarimetric classifications presented a poor performance, with 
                         global Kappa values below 0.20. The accuracy for the 
                         identification of units of economic interest varied from 55% to 
                         89%, albeit with high commission error values. In addition, the 
                         results using L-band were considered superior compared to C-band, 
                         which suggest that the roughness scale for laterite discrimination 
                         in the area is nearer to L than to C-band.",
                  doi = "10.3390/rs5063101",
                  url = "http://dx.doi.org/10.3390/rs5063101",
                 issn = "2072-4292",
                label = "lattes: 8338993621160610 2 SilvaParaFreiOliv:2013:EvDiCl",
             language = "en",
           targetfile = "paredella.pdf",
                  url = "http://www.mdpi.com/journal/remotesensing",
        urlaccessdate = "22 jan. 2021"
}


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