@InProceedings{PonzoniGalvEpip:2001:InReEs,
               author = "Ponzoni, Fl{\'a}vio Jorge and Galv{\~a}o, L{\^e}nio Soares and 
                         Epiphanio, Jos{\'e} Carlos Neves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Influ{\^e}ncia da resolu{\c{c}}{\~a}o espacial sobre a 
                         quantifica{\c{c}}{\~a}o de {\'a}reas n{\~a}o florestadas em 
                         ambiente amaz{\^o}nico",
            booktitle = "Anais...",
                 year = "2001",
               editor = "Krug, Thelma and Fonseca, Leila Maria Garcia",
                pages = "1713--1720",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 10. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "VEGETA{\C{C}}{\~A}O, Amazonia (Regi{\~a}o), desmatamento, 
                         desflorestamento, mapeador tem{\'a}tico (Landsat), 
                         classfica{\c{c}}{\~a}o de imagens, discrimina{\c{c}}{\~a}o 
                         visual, Landsat 5, resolu{\c{c}}{\~a}o espacial, deforestation, 
                         themtic mappers (Landsat), image classification, visual 
                         discrimination, vegetation, spatial resolution.",
             abstract = "Different spatial resolutions (60, 100, 120, 200 and 250 m)were 
                         simulated from TM/Landsat_5 images of an specific region of the 
                         State of Acre, Brazil. Thematic maps were produced considering 
                         both visual interpretation and digital classification followed by 
                         visual interpretation on a computer screen. The mapping scale was 
                         1:100,000. The map legend included Dense Tropical Forest (Forest), 
                         Young secondary succession, Old secondary succession and 
                         Non-forest. The area of these categories was calculated in each 
                         thematic map. Results have shown that it is possible to consider 
                         60, 100, 120 and 200 m as feasible spatial resolutions for 
                         deforestation quantification rather than for monitoring purpose 
                         considering visual interpretation. Digital classification followed 
                         by visual interpretation seems to be an interesting alternative to 
                         correct the visual interpretation mapping results over low spatial 
                         resolution images.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "21-26 abr. 2001",
                 isbn = "85-17-00016-1",
                label = "9051",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "dpi.inpe.br/lise/2001/09.24.10.30",
                  url = "http://urlib.net/ibi/dpi.inpe.br/lise/2001/09.24.10.30",
           targetfile = "1713.1720.043.pdf",
                 type = "Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "29 jun. 2024"
}