%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.57.24
%2 sid.inpe.br/marte2/2017/10.27.15.57.25
%@isbn 978-85-17-00088-1
%F 59849
%T Uso do sensor MODIS para estimativa da produtividade de palha da cana-de-açúcar
%D 2017
%A Luciano, Ana Cláudia dos Santos,
%A Duft, Daniel Garbellini,
%A Picoli, Michelle Cristina Araújo,
%A Hernandes, Thayse Aparecida Dourado,
%A Rocha, Jansle Vieira,
%@electronicmailaddress anaclauster@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 6866-6873
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X 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 (R² ~ 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.
%9 Monitoramento agrícola
%@language pt
%3 59849.pdf