@InProceedings{MoraesRoch:2013:IdFaCu,
               author = "Moraes, Rafael Aldighieri and Rocha, Jansle Vieira",
                title = "Identifica{\c{c}}{\~a}o das fases de cultivo da 
                         cana-de-a{\c{c}}{\'u}car a partir do perfil temporal de NDVI do 
                         sensor Modis para o estado de S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "601--607",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The monitoring of agricultural areas from remote sensing and 
                         geotecnology, can contribute significantly, allowing for effective 
                         methodologies for low cost. Sao Paulo state is the largest 
                         producer of ethanol and sugarcane in Brazil. Thus, it is extremely 
                         important to identify areas of sugarcane cultivation and its 
                         phases so temporal and spatial. The Modis sensor has 
                         characteristics that can be applied for this purpose, mainly due 
                         temporal resolution and the MOD13Q1 products. The NDVI images were 
                         use, for identification and monitoring of sugarcane. VI Quality 
                         and Reliability images were used for the elimination of 
                         contaminated pixels in NDVI images. These pixels were replacement 
                         considering their nearest neighborhood on temporal profile. The 
                         series has been smoothed by average and transformed in slope and 
                         variance profile. From the slope profile, a mask was generated 
                         whose profile cross the x-axis twice. The final images from the 
                         slope and variance, variance images were generated for each 
                         profile and were attached, cut from the mask previously generated 
                         and classified in an unsupervised manner, highlighting areas where 
                         the temporal profile resembles the cultivation of sugarcane. The 
                         slope profile allowed identify the phases of peak growth cycle 
                         (maximum maturity), harvest, end of harvest and development of 
                         sugarcane. The results showed that the methodology was able to 
                         identify characteristic profile of sugarcane and their respective 
                         stages of cultivation, allowing a strategic view of spatial and 
                         temporal dynamics of the whole process of sugarcane cultivation.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "79",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7G6TQ",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7G6TQ",
           targetfile = "p0079.pdf",
                 type = "Agricultura",
        urlaccessdate = "15 jun. 2024"
}