@InProceedings{PavanelliMaSaGaXaXa:2015:RoRaDe,
               author = "Pavanelli, Jo{\~a}o Arthur Pompeu and Maldonado, Francisco Dario 
                         and Santos, Jo{\~a}o Roberto dos and Galv{\~a}o, L{\^e}nio 
                         Soares and Xaud, Maristela Ramalho and Xaud, Haron Abrahim 
                         Magalh{\~a}es",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Rota{\c{c}}{\~a}o radiom{\'e}trica para detec{\c{c}}{\~a}o de 
                         mudan{\c{c}}as na paisagem de tens{\~a}o ecol{\'o}gica em 
                         Roraima",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2419--2426",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Change detection is the process of identifying differences in the 
                         state of an object by observing it at different times. There are 
                         many change detection techniques and the one used in this work, 
                         called Radiometric Rotation Controlled by No- change Axis (RCNA), 
                         was developed from Principal Components Analysis (PCA). The 
                         advantage of RCNA over PCA is the possibility of controlling the 
                         rotation angle, increasing the efficiency of detecting changes in 
                         the landscape. The objective of this work was to apply the 
                         radiometric rotation algorithm for change detection in the 
                         landscape of ecological tension in Roraima State, Brazil, 
                         characterized by the contact between forest and savannah. The 
                         dynamics was characterized by five classes: no change, high 
                         vegetation recovery, moderate recovery, high degradation and 
                         moderate degradation. The results showed 83.91% of no change 
                         class, 8.08% of vegetation recovery (6.07% moderate and 2.01% 
                         high) and 8.05% of the degradation class (4.93% moderate and 3.12% 
                         high). Most of the total degradation (68.8%) occurred in the 
                         contact between forest and agriculture areas. The recovery in this 
                         region is mainly related to the abandonment of agriculture areas 
                         and pastures. Recovery in the savannah region was observed in 
                         riparian forests and forestry. Savannah degradation occurs mainly 
                         in the zones under influence of the BR-174 highway. RCNA was 
                         efficient for change detection in this landscape of complex 
                         ecosystems.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "485",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4A29",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A29",
           targetfile = "p0485.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}