HyMap hyperspectral remote sensing to detect hydrocarbons

Hörig, Bernhard; Kühn, Friedrich; Oschütz, F.; Lehmann, Frank

doi:10.1080/01431160010013450

Cited by 75 publications

(52 citation statements)

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“…1. In general, mean spectral reflectance decreased as diesel concentration increased, as expected (Hoerig et al, 2001). Note that, the specific absorption maximums of petroleum at 1730 (C-H stretch 1st overtone band) and 2310 nm (C-H stretch combination band), as already exhibited by Cloutis (1989), were clearly identified by VisNIR DRS.…”

Section: Resultssupporting

confidence: 50%

Spectral reflectance variability from soil physicochemical properties in oil contaminated soils

et al. 2012

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Section: Resultssupporting

confidence: 50%

Spectral reflectance variability from soil physicochemical properties in oil contaminated soils

et al. 2012

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“…Spectral reflectance characteristics of hydrocarbons in the Vis-NIR region were reported by Cloutis (1989) for applications to the remote sensing of terrestrial and extra-terrestrial targets. This possibility is realized by Hörig et al (2001) using HyMap, an airborne hyperspectral scanner, for mapping and delineating oil-contaminated soils based on absorption features at 1730 nm and 2310 nm. Kühn et al (2004) proposed a hydrocarbon index which measures the "depth" of the absorption around 1730 nm to be used in hyperspectral imagery to detect hydrocarbon contamination.…”

Section: Organic Contaminantsmentioning

confidence: 99%

Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

et al. 2015

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a b s t r a c tThere are tens of millions of contaminated soil sites in the world, and with an increasing population and associated risk there is a growing pressure to remediate them. A barrier to remediation is the lack of cost-effective approaches to assessment. Soil contaminants include a wide range of natural and synthetic metallic and organic compounds and minerals thus making analytical costs potentially very large. Further, soil contaminants show a large degree of spatial variation which increases the burden on sampling costs. This paper reviews potentially cost-effective methods for measurement, sampling design, and assessment. Current tiered investigation approaches and sampling strategies can be improved by using new technologies such as proximal sensing. Design of sampling can be aided by on-the-go proximal soil sensing; and expedited by subsequent adaptive spatially optimal sampling and prediction procedures enabled by field spectroscopic methods and advanced geostatistics. Field deployment of portable Visible & Near Infrared [wavelength 400-2500 nm] (Vis-NIR) and X-ray fluorescence (PXRF) spectroscopies will require special calibration approaches but show huge potential for synergistic use. The use of mid-infrared spectroscopy [wavelength 2500-25,000 nm, wavenumber 4000-400 cm −1 ] (MIR) for field implementation requires further adaptive research. We propose an integrated field-deployable methodology as a basis for further developments. Crown

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“…Lang et al, 1985a,b) and detection of hydrocarbons at the Earth's surface (e.g. Li et al, 2005;Kü hn et al, 2004;Hö rig et al, 2001;Ellis et al, 2001). Theoretically, remote sensing is a suitable tool for direct and indirect detection of the presence of hydrocarbons in the near-subsurface (e.g.…”

Section: Introductionmentioning

confidence: 98%