%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.55.31
%2 sid.inpe.br/marte2/2017/10.27.12.55.32
%@isbn 978-85-17-00088-1
%F 60034
%T Índice de Área Foliar e a Radiação Fotossinteticamente Ativa em área de floresta por meio de produtos de Sensoriamento Remoto na Amazônia Ocidental
%D 2017
%A Antonucci, Bárbara,
%A Barbino, Gutieres Camatta,
%A Ventura, Dione Judite,
%A Ferreira, Lucas Joahay de Lucena,
%A Andrade, Nara Luisa Reis de,
%@electronicmailaddress antonucci.engenharia@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 3033-3040
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X In recent years, the Amazon has undergone great changes through the use and occupation of land. As a consequence, natural cycles seek to adapt to this new dynamic aiming at the balance of energy matrices. The objective of this paper was to characterize and correlate the Leaf Area Index (LAI) with the fraction of Photosynthetically Active Radiation (fPAR) in the Biological Reserve Jaru (Rebio Jaru) from February 2000 to August 2015. The data come from product MOD15A2 of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, free available of National Aeronautics and Space Administration (NASA) homepage. Comparisons of the means of the LAI and fPAR data series between all years (2000 to 2015) were statistically different (p-value <0.05). The seasonal distribution of precipitation in Rebio Jaru was a determinant factor in the variation of the LAI and fPAR data, in which there is a decrease in the wet period (Jan-Mar), increasing from April to December, except for October. It was observed that the dry period (Jul-Aug) in general presented the highest values of LAI and fPAR, with LAI being most expressive in September. The MODIS product demonstrated to be efficient for the characterization of LAI and fPAR in Rebio Jaru, the analyzed variables presented positive correlation (r = 0.875), significant statistically , that is, increase found in dry and dry years and the decrease in the years of flood and in the wet and transition periods occurs among the variables.
%9 Floresta e outros tipos de vegetação
%@language pt
%3 60034.pdf