@InProceedings{CorazzaCassKupl:2011:UsCoTe,
               author = "Corazza, Rosana and Cassol, Henrique Luis Godinho and Kuplich, 
                         Tatiana Mora",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and 
                         {Universidade Federal de Santa Maria – UFSM} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE}",
                title = "Uso e cobertura da terra na regi{\~a}o da Floresta Nacional do 
                         Tapaj{\'o}s (PA) com suporte de imagens LISS III",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2989--2996",
         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 = "deforestation, forest degradation, LISS III, classification, 
                         desmatamento, degrada{\c{c}}{\~a}o florestal, LISS III, 
                         classifica{\c{c}}{\~a}o.",
             abstract = "The recent availability of Indian IRS-P6 (LISS III sensor) 
                         satellite images provided by INPE, enabled the use of a new data 
                         source for studies in the Amazon region. The images produced by 
                         LISS III sensor have 23,5 meter spatial resolution and radiometric 
                         resolution of 7 bits. Thus, this study aimed at the land cover 
                         mapping in the Tapajos National Forest and surroundings, using 
                         LISS III images and the PRODES methodology. To this end, we 
                         generated soil, vegetation and shade fraction-images through the 
                         Linear Spectral Mixture Model. The soil fraction image was masked 
                         twice, with the deforestation polygon/area of PRODES 2009 (which 
                         included all deforested areas since 1988), generating an image of 
                         the area outside the polygon (with, theoretically, no 
                         deforestation) and an image of the area inside the polygon 
                         (showing the fate of deforested areas). Those images were 
                         segmented and classified with the non-supervised ISOSEG algorithm. 
                         In relation to the outer area it was found an increase of 1.5% in 
                         deforestation areas in comparison to PRODES and the detection of 
                         409.5 km2 of forest degradation (2.6% of area). In the 
                         classification of the area inside the deforestation area mapped by 
                         PRODES, only around 33% remained as deforested/clearcut areas. Of 
                         the remainder, 38.6% corresponded to secondary vegetation. Thus, 
                         the use of the LISS III image was effective for the classification 
                         of the area, allowing identification of an increase of 
                         deforestation areas in comparison to Landsat-TM used by PRODES, 
                         and the use and occupation under the current deforestation polygon 
                         accumulated since 1988 and maped by PRODES.",
  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/3A3U23B",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3U23B",
           targetfile = "p0459.pdf",
                 type = "Uso e Cobertura da Terra",
        urlaccessdate = "03 maio 2024"
}