@InProceedings{LucianoDufPicHerRoc:2017:UsSeMO,
               author = "Luciano, Ana Cl{\'a}udia dos Santos and Duft, Daniel Garbellini 
                         and Picoli, Michelle Cristina Ara{\'u}jo and Hernandes, Thayse 
                         Aparecida Dourado and Rocha, Jansle Vieira",
                title = "Uso do sensor MODIS para estimativa da produtividade de palha da 
                         cana-de-a{\c{c}}{\'u}car",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6866--6873",
         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 sugarcane industry has grown significantly in recent years due 
                         to bioenergy production. Sugarcane residues such as bagasse and 
                         straw have contributed to cellulosic ethanol production as well 
                         electricity. The objective of this paper is forecasting the straw 
                         sugarcane yield of three varieties using NDVI time series of MODIS 
                         sensor. The gross primary production (GPP) was calculated using 
                         NDVI, photosynthetically active radiation (PAR) and light use 
                         efficiency (LUE), for the 2015/16 crop year. The annual net 
                         primary productivity (NPP), integrated throughout the development 
                         period of sugarcane, was obtained from the difference between GPP 
                         and sugarcane respiration. The carbon fraction in the sugarcane, 
                         the crop moisture and the amount of biomass above the soil were 
                         used according to literature data, as well as field data referring 
                         to straw fraction and total biomass. The sugarcane straw yield 
                         estimated values were compared among the varieties and analyzed in 
                         relation to sugarcane straw yield measured on field. The yield 
                         between varieties ranged from 13 to 22 t/ha. The use of NDVI time 
                         series collaborated with the estimation of net primary 
                         productivity of sugarcane. It was possible to note is a positive 
                         correlation between the real values and the estimated values of 
                         straw sugarcane yield in the blocks evaluated (Rē ~ 0,67). Further 
                         analysis should be made regarding the use of light efficiency 
                         parameters for biomass production in order to improve the 
                         forecasting sugarcane straw yield.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59849",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDMH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDMH",
           targetfile = "59849.pdf",
                 type = "Monitoramento agr{\'{\i}}cola",
        urlaccessdate = "27 abr. 2024"
}