@InProceedings{SilvaMiraNasc:2013:DeÁrQu,
author = "Silva, Rosane Gomes da and Miranda, Jonathan da Rocha and
Nascimento, Cristina Rodrigues",
title = "Detec{\c{c}}{\~a}o de {\'a}reas queimadas no Parque Estadual de
Serra Nova/MG utilizando os {\'{\i}}ndices espectrais NDVI e
NDBR",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "6923--6929",
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 = "One of the most used ways to ensure the protection of species and
ecosystems are protected areas, territorial spaces with
significant natural features, created with the aim of conserving
biodiversity and other natural attributes contained therein. Among
the activities to be monitored in order to ensure effective
protection of the environment in these areas is the emergence and
quantification of burned areas. The systems sensors onboard
satellites have the ability to provide information on a regular
and systematic regionally or globally the fire activities, being
an efficient tool in the analysis of the occurrence and
quantification of these areas. Thus, the aim of this study was to
identify and quantify fires occurring in Serra Nova State Park
from satellite imagery using spectral indices NDVI and NDBR, and
obtain the reliability of these two indices in the evaluation of
the processes of forest fires. We used two images, related to the
path/row 218/71 days of August 1st, 2010 and August 17th, 2010,
Landsat/5. After processing the images, we calculated the NDVI and
NDBR them. It generated an image difference between the two dates,
for each index, and made a manual mapping of the actual area that
suffered burned. The burned area was 208 ha, while the NDVI
detected 51.39 ha and NDBR detected 287.55 ha. It was observed
that the NDVI and NDBR correctly identified the location of the
burn and NDBR proved more effective in quantifying these areas.",
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 = "772",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GFRD",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GFRD",
targetfile = "p0772.pdf",
type = "Monitoramento e Modelagem Ambiental",
urlaccessdate = "12 maio 2024"
}