DOI: 10.1016/j.jag.2014.08.016
Scopus记录号: 2-s2.0-84920693624
论文题名: Evaluating the feasibility of multitemporal hyperspectral remote sensing for monitoring bioremediation
作者: Noomen M ; , Hakkarainen A ; , van der Meijde M ; , van der Werff H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 217
结束页码: 225
语种: 英语
英文关键词: bbenzenebioremediation
; Hyperspectral remote sensing
; Multitemporal
; Pollution
; Red edge position
Scopus关键词: benzene
; bioremediation
; hydrocarbon
; image analysis
; pollution monitoring
; remote sensing
英文摘要: In recent years, several studies focused on the detection of hydrocarbon pollution in the environment using hyperspectral remote sensing. Particularly the indirect detection of hydrocarbon pollution, using vegetation reflectance in the red edge region, has been studied extensively. Bioremediation is one of the methods that can be applied to clean up polluted sites. So far, there have been no studies on monitoring of bioremediation using (hyperspectral) remote sensing. This study evaluates the feasibility of hyperspectral remote sensing for monitoring the effect of bioremediation over time. Benzene leakage at connection points along a pipeline was monitored by comparing the red edge position (REP) in 2005 and 2008 using HyMap airborne hyperspectral images. REP values were normalized in order to enhance local variations caused by a change in benzene concentrations. 11 out of 17 locations were classified correctly as remediated, still polluted, or still clean, with a total accuracy of 65%. When only polluted locations that were remediated were taken into account, the (user's) accuracy was 71%. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79596
Appears in Collections: 气候变化事实与影响
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作者单位: University of Twente, Faculty of Geo-Information Science and Earth Observation, PO Box 217, Netherlands
Recommended Citation:
Noomen M,, Hakkarainen A,, van der Meijde M,et al. Evaluating the feasibility of multitemporal hyperspectral remote sensing for monitoring bioremediation[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)