@InProceedings{FigueiredoGuasOliv:2011:AvClDi,
               author = "Figueiredo, Anderson Ribeiro de and Guasselli, Laurindo Antonio 
                         and Oliveira, Guilherme Garcia de",
          affiliation = "{Universidade Federal do Rio Grande do Sul - UFRGS} and 
                         {Universidade Federal do Rio Grande do Sul - UFRGS} and 
                         {Universidade Federal do Rio Grande do Sul - UFRGS}",
                title = "Avalia{\c{c}}{\~a}o da classifica{\c{c}}{\~a}o digital de 
                         {\'a}reas de cultivo de bananas em imagem Landsat 5 (TM), a 
                         partir da interpreta{\c{c}}{\~a}o visual e 
                         vetoriza{\c{c}}{\~a}o em imagem IKONOS",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3703--3710",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "bioma Mata Atl{\^a}ntica, cultivo de banana, Atlantic Rainforest 
                         biome, Banana Cultivation, Landsat, IKONOS.",
             abstract = "The present paper is linked to the project 
                         Caracteriza{\c{c}}{\~a}o e Espacializa{\c{c}}{\~a}o de 
                         {\'A}reas de Bananicultura Associadas a Remanescentes de Mata 
                         Atl{\^a}ntica no Litoral Norte do Rio Grande do Sul 
                         Brasil/FAPERGS. It aims to characterize and spatialize areas of 
                         banana cultivations in association with the Atlantic Rainforest 
                         biome from the integration of satellite and radar images in the 
                         North Shore of Rio Grande do Sul. As a case study, it is proposed 
                         to evaluate the automatic classification of areas of banana 
                         cultivations in Landsat satellite image, from the visual 
                         interpretation in IKONOS satellite image. The methodology was the 
                         crossing analysis of the areas of banana cultivations in both 
                         images, realized with ArcGIS 9.3 software. The result of automatic 
                         classification was analyzed.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3NTNB",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3NTNB",
           targetfile = "p1631.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "15 jun. 2024"
}