Characterization Of Mineral Substrates Impregnated With Crude Oils Using Proximal Infrared Hyperspectral Imaging

dc.creatorScafutto
dc.creatorRDM; de Souza
dc.creatorCR; Rivard
dc.creatorB
dc.date2016
dc.date2016-12-06T18:29:31Z
dc.date2016-12-06T18:29:31Z
dc.date.accessioned2018-03-29T02:02:03Z
dc.date.available2018-03-29T02:02:03Z
dc.identifier1879-0704
dc.identifierRemote Sensing Of Environment. ELSEVIER SCIENCE INC, n. 179, p. 116 - 130.
dc.identifier1879-0704
dc.identifierWOS:000375506100010
dc.identifier10.1016/j.rse.2016.03.033
dc.identifierhttp://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S0034425716301274
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/319797
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1310563
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionThe early identification of natural oil seepages or accidental leaks onshore is not a well explored theme in the literature. Location and mapping of contaminated areas can indicate the presence of a subsurface reservoir and guide direct exploration operations in the oil industry. Superficial occurrences of hydrocarbons (HCs) can also indicate damage to pipelines. Locating small leaks can guide containment, cleaning and repair operations. Remote sensing tools for such purposes usually focus on the effects that oil in the soil causes on the spectral signatures of vegetation. Studies investigating the spectral characteristics of soil and HC mixtures are not prevalent. This study comprises the conception and analysis of a spectral library of mixtures of several mineral substrates impregnated with various concentrations of light to heavy oils (API varying from 19.4 to 41.9), using data acquired with an automated hyperspectral imaging station and processed with wavelets. The wavelet transform allowed the extraction of key spectral features and the discard of secondary information (e.g. noise and continuum), resulting in hyperspectral imagery products that proved suitable to separate different phases in the soil-HC mixture, as well as to identify the type and concentration of HC in the soil. This comprehensive spectral library and the acquired information regarding spectral characteristics of soil-hydrocarbon mixtures, opens opportunities for the development of new processing methods for the direct mapping of onshore seeps and leaks using current and future orbital hyperspectral (Hyperion; EnMap; HyspIRI) and multispectral (WordView-3) sensors. (C) 2016 Elsevier Inc. All rights reserved.
dc.description179
dc.description
dc.description116
dc.description130
dc.descriptionFAPESP [2015/19842-7]
dc.descriptionCAPES
dc.descriptionCNPQ [PDSE-3901/13, 140203/2013-3, 2008-7/303563]
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description
dc.description
dc.description
dc.languageEnglish
dc.publisherELSEVIER SCIENCE INC
dc.publisherNEW YORK
dc.relationRemote Sensing Of Environment
dc.rightsfechado
dc.sourceWOS
dc.subjectHyperspectral
dc.subjectWavelets
dc.subjectHydrocarbons
dc.subjectSoil
dc.subjectImaging
dc.subjectSpectral Mixture
dc.titleCharacterization Of Mineral Substrates Impregnated With Crude Oils Using Proximal Infrared Hyperspectral Imaging
dc.typeArtículos de revistas


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