@InProceedings{RosaGallBreuBalb:2013:AnUsCo,
               author = "Rosa, Paulo Afonso da and Gallio, Ezequiel and Breunig, F{\'a}bio 
                         Marcelo and Balbinot, Rafaelo",
                title = "An{\'a}lise do uso e cobertura da terra de uma microbacia 
                         hidrogr{\'a}fica do Rio Fortaleza, no norte do RS",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7631--7638",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The knowledge of changes occurring in the environment is important 
                         to reduce environmental impacts and to define planning strategies. 
                         Thinking about it, the purpose of this study was to evaluate land 
                         use changes in three different dates (1985, 1996, 2010) in a small 
                         watershed. For this were used the software SPRING, provided by the 
                         Brazilian National Institute for Space Research (INPE). Landsat 5 
                         Thematic Mapper (TM) sensor imagens were geometrically corrected 
                         using Geocover 2000 orthorectified data base, with a RMSE up to 1. 
                         Land cover was performed by two approaches: manual image 
                         interpretation and supervised maximum likelihood (MAXVER) image 
                         classification. Land cover was classified in four classes: 
                         agricultural fields, forest, shadow and water. Both classification 
                         methods showed the predominance of agricultural land use with 
                         values up to 50.5% and 55.3% according the manual image 
                         interpretation and MAXVER classification of 2010 TM image, 
                         respectively. By analyzing forest coverage from 1985 to 2010 the 
                         methods lead to little different tendencies. According to manual 
                         image interpretation, forest present a monotonically increase from 
                         1985 to 2010 (31.3%; 36.6% to 47.6% for 1985, 1996 and 2010, 
                         respectively) while MAXVER indicated a forest coverage decrease 
                         from 1985 to 1996 (29.1% to 25.5%) and an increase from 1996 to 
                         2010 (25.5% to 37.9%). These results highlight the importance to 
                         take care in using automatic or semiautomatic image 
                         classifications to generate products and tendencies. Furthermore, 
                         both classifiers showed deficiency to mapping riparian vegetation. 
                         New studies are required to validate the present results.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "235",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GBT6",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GBT6",
           targetfile = "p0235.pdf",
                 type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
        urlaccessdate = "04 maio 2024"
}