@InProceedings{CastanheiroOrlPorWatGal:2023:InDiRa,
author = "Castanheiro, Let{\'{\i}}cia Ferrari and Orlando, Vinicius Silva
Werneck and Porto, Let{\'{\i}}cia Rosim and Watanabe, Fernanda
Sayuri Yoshino and Galo, Maria de Lourdes Bueno Trindade",
affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade
Estadual Paulista (UNESP)} and {Universidade Estadual Paulista
(UNESP)} and {Universidade Estadual Paulista (UNESP)} and
{Universidade Estadual Paulista (UNESP)}",
title = "Influence of different radiometric correction applied in OLI
Landsat-8 images over burned area detection in Pantanal biome",
booktitle = "Anais...",
year = "2023",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
pages = "e155688",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "forest fire, change detection, radiometric calibration,
atmospheric correction, Normalized Burn Ratio.",
abstract = "Remote sensing has been shown an important technique in the
identification of burned areas. However, satellite images are
strongly influenced by atmosphere components and variations of
illumination, which must be corrected in some applications. In
this paper, we assessed the influence of image radiometric
corrections in burned area detection. We downloaded Level-1 and
Level-2 products from Operational Land Imager (OLI), onboard
Landsat 8 satellite, taken before and after fire events occurred
in Pantanal (Brazil). Three methods of radiometric correction were
applied: radiometric calibration, atmospheric correction by using
ACOLITE, and radiometric normalization. The Normalized Burn Ratio
(NBR) spectral index was applied in images derived after each
correction and Level-2 product to detect burned areas. The results
were compared with fire data from the National Institute for Space
Research (INPE). Level-2 images presented better-burned area
detection than those derived from other methods of radiometric
correction.",
conference-location = "Florian{\'o}polis",
conference-year = "02-05 abril 2023",
isbn = "978-65-89159-04-9",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/493NTE5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/493NTE5",
targetfile = "155688.pdf",
type = "Queimadas e Inc{\^e}ndios Florestais",
urlaccessdate = "16 jun. 2024"
}