@InProceedings{MaldonadoSionTentAceñ:2017:SeAuÁr,
               author = "Maldonado, Francisco Dario and Sione, Walter Fabi{\'a}n and 
                         Tentor, Fernando Raul and Aceñolaza, Pablo Gilberto",
                title = "Separaci{\'o}n autom{\'a}tica de {\'a}reas de bosque nativo por 
                         aproximaci{\'o}n tem{\'a}tica a trav{\'e}s de la 
                         acumulaci{\'o}n multitemporal de clases con {\'{\I}}ndice SAVI 
                         bajo",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2370--2377",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The objective of this work was develop an automatic system for 
                         discrimination of areas of native forest, agricultural and cattle 
                         use without forest. This objective is aimed at the automatic 
                         generation of forest mask for input data to an automatic system 
                         for change detection and monitoring of native forest, trough 
                         successive masking of annual masks of clear cuts. In this work was 
                         used a methodological approach based on the separately process of 
                         small spatial subsets (administrative districts), that can be 
                         processed by simple techniques increasing de accuracy with each 
                         methodological iteraction. The first simple technique was Kmean 
                         classification, the second is the SAVI vegetation index, and then, 
                         the apply of thematic label to the classes based on the average of 
                         SAVI values for the pixels in class and accumulation of 
                         occurrences of SAVI low in a frequency map. As a result, the class 
                         zero frecuency was labeles as native forest for compose the Map of 
                         native forest and no forest. The results show two classes with low 
                         fragmentation, and the no forest class with well defined geometric 
                         forms. The forest class show little fragmentation, despite the 
                         frequency map was the result of one serie of independent thematic 
                         transformations.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59258",
             language = "es",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLQFC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQFC",
           targetfile = "59258.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da terra",
        urlaccessdate = "27 abr. 2024"
}