%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.37.09
%2 sid.inpe.br/marte2/2017/10.27.15.37.10
%@isbn 978-85-17-00088-1
%F 59694
%T Perfis temporais EVI/MODIS e sua relação com a produtividade de cultivares de soja no Estado de Mato Grosso
%D 2017
%A Chaves, Michel Eustáquio Dantas,
%A Alves, Marcelo de Carvalho,
%A Rodrigues, Julia Dal Poggetto,
%A Trindade, Filipe Silveira,
%@electronicmailaddress medchaves@posgrad.ufla.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 5968-5975
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Information derived from remote sensing can be extremely useful for crop monitoring during the phenological cycle, and is relevant for strategic planning of large-scale agriculture. Among the outstanding sensors used with this purpose, the Moderate Resolution Imaging Spectroradiometer (MODIS), which is aboard the TERRA and AQUA satellites, is the most used because of its spatial and temporal characteristics that are consistent with both crop size and dynamics. The MODIS sensor provides daily data on vegetation in the form of indexes, which includes, for example, the Enhanced Vegetation Index (EVI) that is sensitive to variations of biomass vigor elapsed during the phenological cycle. In this context, the main purpose of this work was to evaluate the relationship between the EVI vegetation index and the soybean yield using the experimental field as representative of high and low soybean yields obtained in partnership with Bom Futuro SA Group. A total of three agglomerates of farms were evaluated in the State of Mato Grosso, in which the two most cultivated soybean cultivars of the 2010/2011 harvests (TMG 123 RR e TMG 132 RR) were planted. To interpret the results, we used field information regarding the phenological cycle. The results demonstrated the close relationship between EVI and soybean yield, indicating the potential of this index to monitor cultivation in Mato Grosso and to assist in the elaboration of crop forecasting models.
%9 Agricultura e pecuária
%@language pt
%3 59694.pdf