@InProceedings{NogueiraAraúFariSilv:2017:EvÁrPa,
               author = "Nogueira, S{\'e}rgio Henrique de Moura and Ara{\'u}jo, Fernando 
                         Moreira and Faria, Adriano Silva de and Silva, Janete R{\^e}go",
                title = "Evolu{\c{c}}{\~a}o da {\'a}rea de pastagem cultivada na 
                         microrregi{\~a}o de Itaberaba - BA",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3084--3091",
         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 = "Several methodologies were propose and applied to mapping of 
                         different land coverage and uses. Difficulties and limitations, 
                         such as cloud cover, spectral confusions and scales to be adopted 
                         are often found in different activities and studies. Thus, the 
                         identification of pastures is a work that must be carefully 
                         planned and executed. Pastures occurrence in different landscape 
                         conditions, such as soils, climates and reliefs, and in 
                         association with different systems of management and grazing, it 
                         was provide different spectral responses. Such responses are 
                         expressed in images in the form of patterns, characterized by 
                         different colors and textures. This paper aims to analyze and 
                         apply a methodology to mapping pastures, in regional scale, based 
                         on reflectance parameters and spectral indices, derivative from 
                         Landsat 8 satellite OLI sensor. We seek by segmentation and 
                         subsequent identification of different pastures patterns, an 
                         analysis of which bands and indexes would be better suited for the 
                         classification of pasture polygons, using mostly band 6 of the 
                         Landsat 8. The study area was the Itaberaba microregion, located 
                         in the Caatinga biome, which has the most territory covered by 
                         pastures. The result obtained by this mapping was compared and 
                         analyzed with official data from the Ministry of the Environment, 
                         and the Agricultural Census and the Municipalities Livestock 
                         Research.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59697",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRRJ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRRJ",
           targetfile = "59697.pdf",
                 type = "Agricultura e silvicultura",
        urlaccessdate = "27 abr. 2024"
}