@InProceedings{MartaroleJordCorr:2015:AnEsFo,
author = "Martarole, Thiago Lima and Jord{\~a}o, Astrea Alves and Correa,
Ana Cristina Santos Strava",
title = "An{\'a}lise espa{\c{c}}o-temporal dos focos de calor no Acre nos
anos de 2013-2014",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6035--6041",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This meta paper describes a spatial data analysis of hotspots in
the state of Acre, Brazil, in 2013 and part of 2014. The hotspots
data used are from the reference satellite (AQUA-MT), available on
SIGQueimadas, a system from INPE. The analysis involved the
combination of the fire database with data of Conservation Units,
Indigenous Land and a classification by cities. There were no
major differences on the total number of hot spots between 2012
and 2013, even when compared the months of the year. However, if
compared August, 2014 with the same month the previous year, there
was a significant increase. This growth was not constant and was
slowed in subsequent month, probably because of the amount of rain
in the period. The hostpots are concentrated mainly in the
southeastern region of the state, and if we consider its density,
highlights the Brasil{\'e}ia, Epitaciol{\^a}ndia and Espirito
Santo cities. The Conservation Unit hit most hard is Chico Mendes.
However, if taken the density of hotspots as the parameter, it
ranks third, behind the Seringal Nova Esperan{\c{c}}a and Lago do
Amap{\'a}. The number of hotspots on indigenous lands is
relatively small. The most affected were the Curralinho, then
Kaxinaw{\'a} Seringal Independ{\^e}ncia and Naua. About 65% of
detected hotspots are in areas considered forest, classified by
PRODES. This makes it clear that the fires are still a good way
for opening up new occupation areas.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1242",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4ETQ",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4ETQ",
targetfile = "p1242.pdf",
type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
urlaccessdate = "12 maio 2024"
}