@InProceedings{EberhardtRizRisFerBer:2011:MaÁrCa,
               author = "Eberhardt, Isaque Daniel Rocha and Rizzi, Rodrigo and Risso, Joel 
                         and Fernandes, S{\'e}rgio Leal and Bernardy, Renan",
          affiliation = "{Universidade Federal de Pelotas – UFPel} and {Universidade 
                         Federal de Pelotas – UFPel} and {Instituto Nacional de Pesquisas 
                         Espaciais – INPE} and {Universidade Federal de Pelotas – UFPel} 
                         and {Universidade Federal de Pelotas – UFPel}",
                title = "Mapeamento da {\'a}rea de cana-de-a{\c{c}}{\'u}car em Porto 
                         Xavier-RS por meio de imagens Landsat",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "299--306",
         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 = "Agricultural statistics, remote sensing, image interpretation, 
                         estat{\'{\i}}sticas agr{\'{\i}}colas, sensoriamento remoto, 
                         interpreta{\c{c}}{\~a}o de imagens.",
             abstract = "Brazil leads sugarcane world production and it makes properly 
                         information on sugarcane acreage be particularly important for 
                         government, traders, and farmers. The aim of this paper was to use 
                         multitemporal images acquired by Thematic Mapper (TM) sensor 
                         onboard Landsat-5 spacecraft to identify and map sugarcane crop 
                         area in Porto Xavier municipality, Rio Grande do Sul (RS) State, 
                         Brazil. In order to define the most appropriate period to identify 
                         sugarcane fields we analyzed six images from October to June 
                         during crop year of 2008/2009. Sugarcane fields were mapped 
                         through a digital classification over the image acquired in early 
                         April followed by a careful process of visual interpretation using 
                         all six images. To map sugarcane fields in crop years 2006/2007 
                         and 2007/2008, we used two images acquired in two key periods 
                         during sugarcane growing season (from mid January to late April) 
                         for each crop year. Results showed that multitemporal TM images 
                         are suitable to identify and map sugarcane fields in Porto 
                         Xavier-RS provided that at least two cloud free images are 
                         available within two key periods (between mid January and late 
                         February and early March to early May, respectively), and at least 
                         a two months interval from each other, when those fields are 
                         better discriminated over the images. By applying the methodology 
                         we could find a sugarcane crop area of 911, 966, and 747 hectares 
                         for crop years from 2006/2007 to 2008/2009, respectively.",
  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/39UQE82",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39UQE82",
           targetfile = "p1123.pdf",
                 type = "Agricultura",
        urlaccessdate = "18 jun. 2024"
}