@InProceedings{TeixeiraBapt:2017:IdCoMe,
author = "Teixeira, Amanda Lesjak Santos and Baptista, Gustavo Macedo de
Mello",
title = "Identifica{\c{c}}{\~a}o de contaminantes por meio do
processamento de imagens ASTER ? Prov{\'{\i}}ncia Espinar -
Peru",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3407--3414",
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 = "The mines of Tintaya and Antapaccay, which belong to the mining
company Xstrata Copper, are located in the region of Cusco, Peru,
at the Espinar province. The commodity explored by this company is
the structural copper, extracted from the minerals chalcopyrite,
chalcocite and bornite. The main aim of this study is to identify
regions that hold a great concentration of copper, with the
purpose of locating possible new areas of extraction as well as
meaning to find regions with possible contaminations caused by the
mining activity. The data utilized are multispectral images from
the ASTER sensor, obtained in September 28, 2000, courtesy of
Universit{\'e} Toulouse III - Paul Sabatier. The method used
throughout this work was the band ratios. This method enabled the
making of two final products: the image of the studied area
classified by the spectral answer of the chalcopyrite and the
image of the studied area classified by the spectral answer of the
bornite. In order to make a correct reading of the final products,
it was used as a mineralization pattern the spectral signature
present in the area surrounded by the Tintaya mine. After the
final analysis of the obtained products, it was observed that the
image resulted from the spectral answer of the chalcopyrite shows
with better precision the shape of the regions classified as
similar to the area mineralized.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59615",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLSSJ",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSSJ",
targetfile = "59615.pdf",
type = "Processamento de imagens",
urlaccessdate = "27 abr. 2024"
}