@InProceedings{MagalhãesSouzSanc:2017:AnPaDa,
author = "Magalh{\~a}es, Luc{\'{\i}}ola Alves and Souza Filho, Carlos
Roberto and Sanches, Ieda Del Arco",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Forma e ocorr{\^e}ncia dos escapes gasosos no Remanso do
Fogo/Bacia do S{\~a}o Francisco: uma an{\'a}lise a partir de
dados multifontes de alta resolu{\c{c}}{\~a}o espacial e
espectral",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6733--6740",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper describes the combined use of gasometric data,
terrestrial radiometric data, reflectance spectroscopy data and
ProSpecTIR-VS hyperspectral imagery to characterize soils and
vegetation anomalies due to the presence of natural seepages in
the S{\~a}o Francisco Basin, a region known as Remanso do Fogo.
The locations of seeps were mapped using image processing
techniques and the results demonstrated that the absorption bands
of kaolinite and iron oxides/hydroxides can be used for that
purpose with some limitations. Although hydrocarbon anomalies
increase the content of kaolinite and decrease the content of iron
oxides, drainage systems and the relief can mobilize minerals in
soils, thus encumbering their correlation with gas seeps. In such
situations vegetation anomalies as well as gamma ray anomalies
(Higher DRAD and Ures, lower Kres) may be used as determinative
vectors of the existence of seeps. The combined use of
multi-source data in the characterization of soils and vegetation
submitted to natural gas seeps in the region of Remanso do Fogo
provided a better comprehension of changes induced in soils and in
vegetation by the presence of gases in soils, based on a greater
detailing of spectral features of interest.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60173",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMDEN",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDEN",
targetfile = "60173.pdf",
type = "Radiometria e sensores",
urlaccessdate = "27 abr. 2024"
}