@InProceedings{LazzariniFerFelOliAlv:2015:AnDeOc,
author = "Lazzarini, Gustavo Maximiano Junqueira and Ferreira, Luiz Carlos
Costa and Felic{\'{\i}}ssimo, Maryelle Ferreira Garcia and
Oliveira, Lawrence N{\'o}brega de and Alves, Marcos
Vin{\'{\i}}cius Giongo",
title = "An{\'a}lise da detec{\c{c}}{\~a}o e ocorr{\^e}ncia de
queimadas em {\'a}reas urbanas e entorno",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2653--2660",
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 = "Wildfires cause damage on environment, human healthy and public or
private property. Hotspots are the main way to monitor the
occurrence of fire and burned areas in Brazil. However, they
present limitations that can disturb the real incidence of fire in
some places. This study analyzed the events of fires faced by
teams of firefighters in green areas of some cities from Tocantins
State and their relationship to hotspots detected by several
sensors during the 2012 year. Data from 346 faced fire reports
showed the occurrence of 1,42 events/kmē in urban areas. In
distances until 9 km from the fire events were registered 950
hotspots from 17 sensors, being 40% of them from AQUA_M-T and
TERRA_M-T. The analysis regarding fire and hotspot happening in
the same day revealed that only 7,8% of the fires could be
detected by any sensor that register hotspots, even when we
consider distances until 9 km between the both. Nevertheless,
others 89,5% of intersections between fires and hotspots were
happened, but in interval-times longer than 2 days. Those results
highlight the impracticability to use hotspots as fire monitoring
tool in urban areas and the great potential to make mistakes when
they are employed satellite images with long interval-time to
validate hotspots and burned areas.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "527",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4A8T",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A8T",
targetfile = "p0527.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "12 maio 2024"
}