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@InProceedings{SilvaCONGAFV:2017:ÍnTeÁr,
               author = "Silva, Mar{\'{\i}}lia Gabriela Lopes da and Cordeiro, 
                         T{\'a}ssio Franco and Oliveira, Rodrigo Rafael Souza de and 
                         Narvaes, Igor da Silva and Gomes, Alessandra Rodrigues and Adami, 
                         Marcos and Freitas, Lucas Jos{\'e} Mazzei de and Valeriano, 
                         Dalton de Morisson",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "{\'{\I}}ndice texturais das {\'a}reas de explora{\c{c}}{\~a}o 
                         florestal na FLONA do Tapaj{\'o}s (Par{\'a}), utilizando imagens 
                         de m{\'e}dia resolu{\c{c}}{\~a}o espacial fusionadas",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3962--3969",
         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 Amazon Biome has a wide variety of ecosystems, such as: 
                         flooded forests, dry land, igap{\'o}s, open fields, floodplains 
                         and cerrado. And for forest studies what has been used in the 
                         scientific field are several methods of satellites images 
                         classification based on textural characteristics. The texture 
                         characteristics are an important source of information for the 
                         analysis and interpretation process of products that are generated 
                         by optical sensors. In this work we show results obtained through 
                         the application of the mapping methodology developed by DETEX 
                         (Detection of Selective Logging) and the textural measures using a 
                         co-occurrence matrix, in the study area of FNT (Tapaj{\'o}s 
                         National Forest) in Par{\'a}, having as a temporal cut the years 
                         of 2014, before the forest exploitation and 2015, the year post 
                         logging. The results obtained from the fused images of the Landsat 
                         8 satellite (Sensor OLI) demonstrated a relation between some 
                         textural variables obtained by the Haralick texture and the forest 
                         exploitation degree applied, measured by the remaining basal area 
                         (G - m˛/ha) . Based on the results, it was possible to establish 
                         that before the logging the trees from the dominant extract were 
                         important in the detection result, whereas when some individuals 
                         (2015) were extracted, the dominant trees were fundamental for the 
                         verification of low impact logging activity in the forest.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59804",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2AF",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM2AF",
           targetfile = "59804.pdf",
                 type = "Landsat OLI",
        urlaccessdate = "29 nov. 2020"
}


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