%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.35.57
%2 sid.inpe.br/marte2/2017/10.27.12.35.58
%@isbn 978-85-17-00088-1
%F 59255
%T Índices agrometeorológicos aplicados com imagens MODIS e dados climáticos no Estado de Minas Gerais
%D 2017
%A Teixeira, Antonio Heriberto de Castro,
%A Leivas, Janice Freitas,
%A Bayma-Silva, Gustavo,
%A Grego, Celia Regina,
%@electronicmailaddress heriberto.teixeira@embrapa.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 2184-2191
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Minas Gerais state, Brazil, has experienced severe water scarcity in some areas, demanding large-scale water balance studies to subsidize water policies. The reflectance bands from the MOD13Q1 MODIS product were used together with agrometeorological data to acquire water balance indices in the state, during the years from 2012 to 2015, later extracting the main agricultural growing regions, North, Northwest and Minas Triangle. Precipitation (Prec) and reference evapotranspiration (ET0) data from 36 weather stations were interpolated, while for the actual evapotranspiration (ET), the SAFER algorithm was used. A climatic water balance indicator was applied, the Water Balance Difference (WBd = Prec - ET) and, for the surface moisture, the evapotranspiration ratio (ETr = ET/ET0) was used. Higher WBd happened from the middle of October to the end of December, while the largest ETr values were between March and May.. According to the ETr values, the soil moisture storage showed a gap in relation to the WBd index, because the lapse time the soil to recover its retention capacity. Considering all studied years, ET attended the atmospheric demand by 50, 53 and 61% in ghe agricultural growing regions of North, Northwest and Minas Triangle. It was demonstrated the potential to monitor the water conditions for the 16-day periods on a large scale by combining weather measurements and MODIS products.
%9 Monitoramento e modelagem ambiental
%@language pt
%3 59255.pdf