@Article{AzevedoSanGamGraMur:2014:CaUsCo,
               author = "Azevedo, Adriana Rodrigues de and Santos, Jo{\~a}o Roberto dos 
                         and Gama, F{\'a}bio Furlan and Gra{\c{c}}a, Paulo 
                         Maur{\'{\i}}cio Lima de Alencastro and Mura, Jos{\'e} 
                         Cl{\'a}udio",
          affiliation = "{Instituto Chico Mendes de Conserva{\c{c}}{\~a}o da 
                         Biodiversidade (ICMBio)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Caracteriza{\c{c}}{\~a}o de uso e cobertura da terra na 
                         amaz{\^o}nia utilizando imagens duais multitemporais do 
                         cosmo-skymed / Land use/land cover characterization in amazonia 
                         using cosmo-skymed multitemporal images",
              journal = "Acta Amazonica",
                 year = "2014",
               volume = "44",
               number = "1",
                pages = "87--97",
             keywords = "radar, mapeamento florestal, an{\'a}lise textural, monitoramento, 
                         forest mapping, textural analysis, monitoring.",
             abstract = "A utiliza{\c{c}}{\~a}o de imagens de radar {\'e} fonte 
                         alternativa de informa{\c{c}}{\~o}es para subsidiar o 
                         monitoramento da regi{\~a}o amaz{\^o}nica, visto que as imagens 
                         {\'o}pticas t{\^e}m limita{\c{c}}{\~o}es de imageamento em 
                         zonas tropicais face a ocorr{\^e}ncia de nuvens. Por conseguinte 
                         este trabalho teve como objetivo analisar a capacidade das 
                         imagens-radar de banda X multitemporais e polarizadas obtidas pelo 
                         sat{\'e}lite COSMO-SkyMed (COnstellation of small Satellites for 
                         Mediterranean basin Observation), no modo intensidade, 
                         isoladamente e agregados {\`a}s informa{\c{c}}{\~o}es 
                         texturais, na caracteriza{\c{c}}{\~a}o tem{\'a}tica de uso e 
                         cobertura da terra no munic{\'{\i}}pio de Humait{\'a}/AM. A 
                         metodologia empregada consistiu da: an{\'a}lise das imagens duais 
                         obtidas em duas aquisi{\c{c}}{\~o}es subsequentes, de forma a 
                         explorar a potencialidade do conjunto de dados na forma quad-pol 
                         intensidade; extra{\c{c}}{\~a}o dos atributos texturais a partir 
                         da matriz de coocorr{\^e}ncia (Gray Level Co-occurrence Matrix) e 
                         posterior classifica{\c{c}}{\~a}o contextual; 
                         avalia{\c{c}}{\~a}o estat{\'{\i}}stica de desempenho 
                         tem{\'a}tico das imagens intensidade e texturais, isoladas e em 
                         grupos polarizados. Dentre os v{\'a}rios resultados 
                         alcan{\c{c}}ados, foi verificado que o grupo formado somente 
                         pelas imagens intensidade apresentou o melhor desempenho, 
                         comparado {\`a}queles contendo os atributos texturais. Nesta 
                         separabilidade, estavam envolvidas as classes de floresta, 
                         floresta aluvial, reflorestamento, savana, pasto e queimada, 
                         obtendo-se 66% de acur{\'a}cia total e valor Kappa de 0,55. Os 
                         resultados mostraram que as imagens de banda X do COSMO-SkyMed, 
                         modo StripMap (Ping-Pong), multipolarizadas, t{\^e}m potencial 
                         moderado para a caracteriza{\c{c}}{\~a}o e monitoramento da 
                         din{\^a}mica de uso e cobertura da terra na Amaz{\^o}nia 
                         brasileira. ABSTRACT: The use of radar imagery is an alternative 
                         source of information to support the monitoring of the Amazon 
                         region, since the optical images have imaging limitations in 
                         tropical areas due to the occurrence of clouds. Therefore, the 
                         goal of this study is to analyze the radar images in X-band 
                         multi-temporal polarized obtained by COSMO-SkyMed satellite 
                         (COnstellation of small Satellites for Mediterranean basin 
                         Observation), in the intensity mode, isolated and/or combined with 
                         textural information, to thematic characterization of land 
                         use/land cover in the Humait{\'a}, Amazonas State region. The 
                         methodology used includes: analysis of the dual images obtained 
                         during two subsequent acquisitions, in order to explore the 
                         potential of the dataset as a quad-pol intensity; extraction of 
                         textural attributes from the co-occurrence matrix (Gray Level 
                         Co-occurrence Matrix) and subsequent contextual classification; 
                         statistical assessment of the thematic performance of the 
                         intensity and textural images, isolated and in polarized groups. 
                         Within the results achieved, the group formed only by the 
                         intensity images presented a better performance if compared to 
                         those containing the textural attributes. In this discrimination, 
                         the classes involved were forest, alluvial forest, reforestation, 
                         savannah, pasture and burned areas, yielding 66% overall accuracy 
                         and a Kappa value of 0.55. The results showed that X band images, 
                         from COSMO-SkyMed, StripMap mode (Ping-Pong), multi-polarized, 
                         presents a moderate potential to characterize and monitor the 
                         dynamics of land use/land land cover in the Brazilian Amazon.",
                  doi = "10.1590/S0044-59672014000100009",
                  url = "http://dx.doi.org/10.1590/S0044-59672014000100009",
                 issn = "0044-5967",
                label = "scopus 2014-05 AzevedoSanGamGraMur:2014:LaUsCo",
             language = "pt",
           targetfile = "09.pdf",
                  url = "http://dx.doi.org/10.1590/S0044-59672014000100009",
        urlaccessdate = "27 abr. 2024"
}