@InProceedings{GonçalvesZuMaAmSoRo:2013:AnRePe,
               author = "Gon{\c{c}}alves, Renata Ribeiro do Valle and Zullo Junior, 
                         Jurandir and Marquezini, Oct{\'a}via and Amaral, Bruno Ferraz do 
                         and Sousa, Elaine Parros Machado de and Romani, Luciana Alvim 
                         Santos",
                title = "An{\'a}lise da rela{\c{c}}{\~a}o entre os perfis de NDVI 
                         obtidos dos sensores AVHRR/NOAA e MODIS nas {\'a}reas produtoras 
                         de cana-de-a{\c{c}}{\'u}car em S{\~a}o Paulo",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "640--647",
         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 production of cane sugar in Brazil, in general, has been 
                         growing in recent years and has increasingly strategic role in the 
                         economy. Thus, it is important to propose innovative and 
                         technologically feasible solutions to help the generation of more 
                         efficient, objectives, precise, early and adequate models to 
                         monitoring and forecasting of the national crop. This study has 
                         the main objective of compare NDVI data from AVHRR/NOAA and 
                         MODIS/TERRA in productive sugarcane areas in S{\~a}o Paulo, from 
                         April 2001 to March 2010. Initially, were made the selection of 
                         sugarcane planting points in S{\~a}o Paulo and the extraction of 
                         NDVI profiles from AVHRR/NOAA and MODIS/TERRA. After that, 
                         clustering analysis using K-Medoids and DTW were made in 5 
                         clusters with NDVI profile and, finally, the statistical analysis 
                         (Pearson correlation) done with clusters of the planted area, 
                         harvested area and crop yield. The clusters identified pixels 
                         related to the sugarcane planting areas and spectral mixture. The 
                         MODIS/TERRA showed values of R greater than the AVHRR/NOAA, 
                         because the sensor has a spatial resolution of 250m, with more 
                         details of sugarcane areas. However, the AVHRR/NOAA also obtained 
                         satisfactory results. This shows that it is possible to use data 
                         from low spatial resolution sensors to monitor and follow harvests 
                         of crops planted over large areas. The advantage of these sensor 
                         systems is their high temporal resolution, low cost and global 
                         coverage.",
  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 = "1248",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GK4J",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GK4J",
           targetfile = "p1248.pdf",
                 type = "Agricultura",
        urlaccessdate = "18 jun. 2024"
}