%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.19.38.36
%2 sid.inpe.br/marte2/2017/10.23.19.38.37
%@isbn 978-85-17-00088-1
%F 59770
%T Aplicação do sensoriamento remoto na estimativa de biomassa de gramíneas
%D 2017
%A Nakai, Érica Silva,
%A Vettorazzi, Carlos Alberto,
%@electronicmailaddress ericanakai@usp.br
%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 1510-1517
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Vegetation is very important in climate regulation and carbon cycle to remove and store large amounts of carbon dioxide. This study quantified the aerial plant biomass to obtain the carbon stock of pastures with the aid of remote sensing at Figueira Farm, municipality of Londrina, State of Paraná, Brazil. Five 10m x10m plots were established with Tanzania grass and after their free growth, five locations of 1m2 were cut to calculate biomass. Four vegetation spectral indices were generated: SR, NDVI, EVI and EVI2, as well as two buffers (50m and 100m), for greater coverage, from a scene of Landsat-8/OLI from August, 2015. The statistical analysis was performed with Pearson''s correlation and stepwise regression. The Tanzania grass produced a mean biomass of 3.67 Mg.ha-1 and mean carbon stock of 1.83 MgC.ha-1. The mean values of vegetation indices were 0.67 for NDVI, 0.58 for EVI, 0.54 for EVI2, and 4.80 for SR. The average values for the 50m buffer were 0.64 for NDVI, 0.54 for EVI, 0.52 for EVI2, and 4.35 for SR. The average values for the 100m buffer were 0.61 for NDVI, 0.51 for EVI, 0.49 for EVI2, and 3.98 for SR. The Pearsons correlation analysis indicated a strong negative correlation of the total biomass of pasture with all vegetation indices and buffers values. Stepwise regression analysis was significant for EVI (R2=0.91). It was found that vegetation indices have great potential in estimate the aboveground biomass, however these indices have not been sensitive enough to eliminate the soil effects.
%9 Floresta e outros tipos de vegetação
%@language pt
%3 59770.pdf