@InProceedings{Matavelli:2011:AnTeUt,
               author = "Matavelli, Cyro Jos{\'e}",
          affiliation = "{Instituto Nacional de Coloniza{\c{c}}{\~a}o e Reforma 
                         Agr{\'a}ria – INCRA/SC}",
                title = "An{\'a}lise temporal utilizando imagens de alta 
                         resolu{\c{c}}{\~a}o espacial para fins de avalia{\c{c}}{\~a}o, 
                         indeniza{\c{c}}{\~a}o e c{\'a}lculo do passivo ambiental em 
                         talh{\~o}es de Pinus taeda na desapropria{\c{c}}{\~a}o de 
                         im{\'o}veis rurais",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6254--6261",
         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 = "remote sensing, planted forests, environmental expertise, National 
                         Institute of Colonization and Agrarian Reform, sensoriamento 
                         remoto, florestas plantadas, per{\'{\i}}cia ambiental, Instituto 
                         Nacional de Coloniza{\c{c}}{\~a}o e Reforma Agr{\'a}ria.",
             abstract = "In the evaluation of planted forests is important to identify the 
                         area actually planted. This study was conducted at the evaluation 
                         the Fazenda Ressaca, in Ponte Serrada - SC, with 87.7260 hectares 
                         of Pinus taeda. For the temporal analysis were used Ikonos 
                         satellite images dated 2002 and 2008. The area obtained by 
                         interpreting the image of 2002 was higher than the area actually 
                         planted depending on the project did not following as planned, 
                         besides the occurrence of the death of seedlings. Another factor 
                         discovered at the field were the accumulation of branches and tree 
                         remains from previous cuttings, in which the area counted as of 
                         effective planted ground showed error after the interpretation of 
                         the 2008 image. By overlaying maps, the area of effective 
                         plantation, established through the interpretation of the picture 
                         dated 2008, amounted to 84.7457 hectares, while the corresponding 
                         planting held in noncompliance with environmental legislation 
                         amounted to 2.9803 hectares. The area that should be implanted or 
                         with flaws totaled 15.1102 hectares Should INCRA compensate the 
                         forest through the area of the implantation project and not by the 
                         actual planting, would pay more the sum of R\$113,418.50. Through 
                         the results, we note the importance of combining the use of remote 
                         sensing and field survey. The cost of the image is infinitely 
                         irrelevant compared to the cost if the same area had to be 
                         measured, facilitating the identification of areas in violation of 
                         environmental legislation and reduces the cost of the forest 
                         inventory.",
  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/3A45HFL",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A45HFL",
           targetfile = "cyro.pdf",
                 type = "An{\'a}lise Ambiental",
        urlaccessdate = "11 maio 2024"
}