@InProceedings{PithanSouzSebe:2017:CoORe,
author = "Pithan, Pamela A. and Souza-Jr, Manoel A. and Sebem, Elodio",
affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and
{Universidade Federal de Santa Maria (UFSM)} and {Universidade
Federal de Santa Maria (UFSM)}",
title = "Correlacao entre o rendimento da soja e os dados de estiagem
utilizando dados EVI/Modis na regiao centro do Estado do Rio
Grande do Sul – BR",
booktitle = "Anais...",
year = "2017",
editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
pages = "86--91",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The EVI images from MODIS sensor show a good correlation with the
green biomass content can be obtained values, indicating of the
water stress in the plants. In the respect, this paper makes a
proposal to relate soybeans yield and drought data, integrating
satellite imagery with data from the annual monitoring of the soy
production at local and municipal scale. In order to check if the
variables soybean production and drought anomalies have a
relationship, a Pearson correlation analysis was performed for the
data, wich present a good correlation, with linear regression
coefficients significant for the two areas under study.",
conference-location = "Salvador",
conference-year = "04-06 dez. 2017",
issn = "2179-4820",
language = "pt",
ibi = "8JMKD3MGPDW34P/3Q5DS85",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DS85",
targetfile = "9pithan_sebem.pdf",
urlaccessdate = "11 maio 2024"
}