@InProceedings{PereiraCarSanJúnMor:2015:AvNoÍn,
author = "Pereira, Allan Arantes and Carvalho, Luis Marcelo Tavares de and
Santos, Renata Libonati dos and J{\'u}nior, Fausto Weimar Acerbi
and Morelli, Fabiano",
affiliation = "{} and {} and {} and {} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o de nove {\'{\i}}ndices espectrais quanto a
separabilidade entre queimadas e diferentes alvos",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3105--3112",
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 = "The aim of this study was evaluate which spectral indices have
higher separability in the discrimination of burned areas of other
targets in the Landsat 5 TM images on Cerrado areas in northern
Minas Gerais. For this, nine spectral indices were calculated;
Burned Area Index (BAI), Char Soil Index (CSI), Enhanced
Vegetation Index (EVI), Normalized Burn Ratio (NBR), variation of
Normalized Burn Ratio (nbr2), Normalized Difference Vegetation
Index (NDVI), Normalized Difference Moisture Index (NDMI),
Mid-Infrared Burn index (MIRBI), Soil Adjusted Vegetation Index
(SAVI) and checked your the separability by the index M. To assist
the analysis, we calculated the basic statistics and the spectral
signatures generated before and after the wildfire, and also the
graph in space bi-spectral regions in red (band 3), near infrared
(band 4), and shortwave infrared (bands 5 and 7). The results
showed the MIRBI and NBR2 indices with better separability.
Already NBR, NDVI, SAVI and CSI indices presented intermediate
values of separability compared to other indices tested in this
work. While the spectral indices BAI, EVI and NDMI had weak
separability. We conclude that the indices using the bands of the
shortwave infrared region showed the best results and are the most
suitable for mapping fires in the region, Landsat 5 TM images.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "619",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4BBP",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BBP",
targetfile = "p0619.pdf",
type = "Floresta e vegeta{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}