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		<isbn>978-85-17-00066-9 (Internet)</isbn>
		<isbn>978-85-17-00065-2 (DVD)</isbn>
		<label>1131</label>
		<citationkey>PabónSouzMaga:2013:MoSoCo</citationkey>
		<title>Monitoramento de solos contaminados com hidrocarbonetos em instalações petrolíferas através da espectroscopia de refletância e de imagemento hiperespectral</title>
		<format>DVD, Internet.</format>
		<year>2013</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>2125 KiB</size>
		<author>Pabón, Rosa Elvira Correa,</author>
		<author>Souza Filho, Carlos Roberto de,</author>
		<author>Magalhães, Lucíola Alves,</author>
		<electronicmailaddress>jrosa83@gmail.com</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)</conferencename>
		<conferencelocation>Foz do Iguaçu</conferencelocation>
		<date>13-18 abr. 2013</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>8996-9003</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>reflectance spectroscopy, hyperspectral imaging, contaminated soils, hydrocarbon index, espectroscopia de refletância, imageamento hiperespectral, solos contaminados, índice do hidrocaboneto.</keywords>
		<abstract>This work aims to characterize the spectral signature in the VNIR-SWIR (350 - 2500 nm) interval of hydrocarbon contaminated soils using reflectance spectroscopy and hyperspectral remote sensing.  The research involved a controlled experiment where characteristic study area soils were contaminated with different types of HCs, playing on a small-scale contaminated soil in the areas of refineries and pipelines that can present leaks.  The spectra investigated here were derived by reflectance spectroscopy in laboratory conditions with the FieldSpec® Hi-Res sensor (2150 channels) and extracted from imagery pixels generated by imaging spectroscopy, using the ProSpecTIR-VS hyperespectral sensor  (357 channels).  Spectral data were analyzed by Hydrocarbon Index (HI), that considerer the feature of hydrocarbons centered at 1.73µm.  The results demonstrating that contaminated soils can be qualitative separated from soils without hydrocarbon impregnation.  However, the HI also classified vegetation in senescence progress like hydrocarbon-bearing materials.  This wrong classification is due that plants in senescence have a similar hydrocarbon feature located at 1.728µm.The results also indicated that HI could be used to estimate the type and volume of hydrocarbon that caused the contamination in the soil.</abstract>
		<area>SRE</area>
		<type>Sensoriamento Remoto Hiperespectral</type>
		<language>pt</language>
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