@Article{PereiraBaPeAcMoSc:2014:SpFrHo,
author = "Pereira, A. A. and Barros, D. A. de and Pereira, J. A. A. and
Acerbi J{\'u}nior, F. W. and Morelli, Fabiano and Scolforo, J. R.
S.",
affiliation = "Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e
Tecnologia do Sul de Minas GeraisPo{\c{c}}os de Caldas, Minas
Gerais, Brazil and {Universidade Federal de Lavras} and
{Universidade Federal de Lavras} and {Universidade Federal de
Lavras} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Lavras}",
title = "Space-time frequency of hotspots in Minas Gerais from 1999 to
2009",
journal = "Cerne",
year = "2014",
volume = "20",
number = "3",
pages = "459--470",
keywords = "conservation management, environmental impact, forest fire,
spatial distribution, spatiotemporal analysis, Brazil, Minas
Gerais.",
abstract = "The aim of this study was to rescue the history of hotspots in the
state of Minas Gerais during the years of 1999 to 2009 for an
exploratory data analysis. Through temporal analysis, we proceeded
an analysis of the months and years where foci have been more
frequent and of the critical period of occurrence of hotspots. The
analysis considered the spatial frequency and the density of
hotspots in the State Forestry Institute (IEF) nuclei. In the case
of conservation units, it was also analyzed the annual recurrence.
In total, 67,334 hotspots were detected in MG during the period
from 1999 to 2009. Temporal analysis revealed that the year 2003
had the highest frequency, totaling 10,929 hotspots; the year
2009, in turn, had only 2,378 spots. October was the month with
the largest frequency, with 24,149 of hotspots recorded. Nuclei
with higher frequency, higher density and higher recurrence of
hotspots in the case of conservation units, present the worst
scenario, being considered as the most critical hotspots. However,
low frequency of hotspots and high density are also indicatives of
critical areas. In areas of high frequency of hotspots and low
density, the size of the area directly influenced the high
incidence of active hotspots. In these areas it is suggested an
analysis of spatial distribution to check if hotspots are
concentrated or sparse. The best scenario presented here is low
frequency and low density of hotspots.",
doi = "10.1590/01047760201420031518",
url = "http://dx.doi.org/10.1590/01047760201420031518",
issn = "0104-7760",
label = "scopus 2014-11 PereiraBaPeAcMoSc:2014:SpFrHo",
language = "pt",
targetfile = "Morelli_Frequencia.pdf",
urlaccessdate = "28 abr. 2024"
}