@InProceedings{GregorioGuSoDeLaMa:2017:ReADi,
author = "Gregorio, Leandro da Silva and Gurgel, Helen da Costa and Sousa,
Gustavo Mota de and Dessay, Nadine and Laques, Anne-Elisabeth and
Masullo, Yata Anderson Gonzaga",
title = "Rela{\c{c}}{\~o}es entre a din{\^a}mica do uso solo e da dengue
em Bras{\'{\i}}lia-DF",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4421--4428",
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 = "Dengue control is a challenge today due to its complexity and
involving the multiple variables and multiple scales. According to
Medronho (2004), the multiple variables that contribute to its
behavior and spatial component are fundamental for its
comprehension, like climate, relief and land cover. The spatial
analysis, focusing mainly on the landscape, can contribute to the
development of strategies and better comprehension of the contexts
in which the dengue is developed. Bras{\'{\i}}lia, the capital
of Brazil, inaugurated in 1960, has experienced a particularly
rapid rate of urbanization. Its population in 1960 was of little
more than 150 thousand, but has reached 2 million and 800 thousand
in 2016 (IBGE, 2016). The increase of dengue cases has been
identified during the last 5 years, with the largest dengue
epidemic in 2010 (more than 15, 000 cases). In this context, this
study aims to analyze the landscape changes through the change
detection analysis, using Landsat images from 2007 to 2014 and
hybrid detection technique and find the possible relationships
between landscape dynamics and dengue incidence rates. Preliminary
results show the correlations between urban expansion, landscape
changes and dengue incidence rates.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59672",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM34J",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM34J",
targetfile = "59672.pdf",
type = "Sa{\'u}de",
urlaccessdate = "27 abr. 2024"
}