@InProceedings{BritoCicAlmCasRoi:2017:AnEsVa,
author = "Brito, Marcos Rog{\'e}rio dos Santos and Cicerelli, Rejane Ennes
and Almeida, Tati and Castro, K{\'a}ssia Batista and Roig,
Henrique Llacer",
title = "An{\'a}lise espa{\c{c}}o-temporal da varia{\c{c}}{\~a}o da
temperatura do Estado de Minas Gerais",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3846--3853",
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 = "Global warming is responsible for changes in climate and varied
environmental impacts occurring in world. Although the variation
of the earth''s temperature has occurred naturally, numerous
scientists have attributed the unusual rise in temperature of the
planet to human activities. Nowadays, it is noticeable the
importance of research involving climate study in the pursuit of
building new knowledge to support the implementation of public
policies to minimize the influence of global warming on the
socio-economic field globally, nationally and local. In this
context, this study aimed to analyze the variation of the
temperature of the air in the state of Minas Gerais from thematic
maps produced using the digital elevation model (SRTM) and
temperature values measured by weather stations of the Instituto
Nacional de Meteorologia (INMET), available in Banco de Dados
Metorol{\'o}gicos para Ensino e Pesquisa (BDMEP). The historical
series comprised the period from 1975 to 2014. The temperature
values, in degrees Celsius (°C), were processed using statistical
model of multiple linear regression and data interpolation
technique. Products generated showed great spatial variability and
climate of the time in the state and indicated average values of
increase of 0.55 °C for the minimum average temperature and 1.34º
C for maximum average temperature in the 40 year period.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60097",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTND",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTND",
targetfile = "60097.pdf",
type = "Meteorologia e climatologia",
urlaccessdate = "27 abr. 2024"
}