@InProceedings{BenaliPere:2013:MoExRe,
author = "Benali, Akli Ait and Pereira, Jos{\'e} Miguel Cardoso",
title = "Monitoring and extracting relevant parameters of wild fire spread
using remote sensing data",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "2725--2731",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Wildfires are important elements of ecosystems that can have
significant environmental and socio-economic impacts. The
spatio-temporal dynamics of single events are very complex and
have been studied mostly through the application of models and by
reconstruction using multiple data sources. Both are time
consuming approaches with high associated uncertainties and
laborious applicability to other case studies. In this study we
propose to reconstruct the fire events and extract relevant
parameters using solely remote sensing data for a large time span
and spatial region. We combined a burnt areas dataset with MODIS
active-fire detections to reconstruct the fire events. The
structure of fire spread was described using graphs which were
used to calculate the main fire routes. Using the circular
statistics each routes mean fire spread direction was calculated.
The approach showed promising results providing a valuable
reconstruction of the fire events and retrieval of important
parameters related to the propagation of single fire events. The
methodology can be easily applied to other regions of the globe
since it depends on a very limited amount of input data and is
based on the morphological spread structure of each fire event.
The more conventional approaches, such as fire spread modeling,
would greatly benefit of the integration of information extract
from remote sensing data.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "960",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GH6D",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GH6D",
targetfile = "p0960.pdf",
type = "Floresta e Vegeta{\c{c}}{\~a}o",
urlaccessdate = "12 maio 2024"
}