@InProceedings{TeixeiraLeivBaymGreg:2017:ÍnAgAp,
author = "Teixeira, Antonio Heriberto de Castro and Leivas, Janice Freitas
and Bayma-Silva, Gustavo and Grego, Celia Regina",
title = "{\'{\I}}ndices agrometeorol{\'o}gicos aplicados com imagens
MODIS e dados clim{\'a}ticos no Estado de Minas Gerais",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2184--2191",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59255",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLQ5S",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ5S",
targetfile = "59255.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "27 abr. 2024"
}