2001
DOI: 10.1080/01431160120909
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HyMap hyperspectral remote sensing to detect hydrocarbons

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Cited by 151 publications
(55 citation statements)
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“…The first study utilizing fieldcollected samples was not able to produce robust models, resulting in a very low correlation coefficient (R 2 = 0.46) and large errors, probably due to very low sample count and problems with the chemical measurements performed in the laboratory which produced inconsistent results (Malley et al 1999). Attempts at mapping hydrocarbons using Landsat and Daedalus in 1994 and 1995 failed, probably due to the limited spectral resolution of the sensors (multispectral sensors); on the other hand, the higher spatial and spectral resolution, as well as the very high signal-to-noise ratio of the airborne hyperspectral sensor used (HyMap) (Cocks et al 1998) yielded successful identification of hydrocarbon-and oil-contaminated soils, but only for high contaminant concentrations (2.5% wt) (Hörig et al 2001). Based on the HyMap mission, a Hydrocarbon Index was developed for the mapping of hydrocarbonbearing materials.…”
Section: Reflectance Spectroscopy Of Phcsmentioning
confidence: 99%
“…The first study utilizing fieldcollected samples was not able to produce robust models, resulting in a very low correlation coefficient (R 2 = 0.46) and large errors, probably due to very low sample count and problems with the chemical measurements performed in the laboratory which produced inconsistent results (Malley et al 1999). Attempts at mapping hydrocarbons using Landsat and Daedalus in 1994 and 1995 failed, probably due to the limited spectral resolution of the sensors (multispectral sensors); on the other hand, the higher spatial and spectral resolution, as well as the very high signal-to-noise ratio of the airborne hyperspectral sensor used (HyMap) (Cocks et al 1998) yielded successful identification of hydrocarbon-and oil-contaminated soils, but only for high contaminant concentrations (2.5% wt) (Hörig et al 2001). Based on the HyMap mission, a Hydrocarbon Index was developed for the mapping of hydrocarbonbearing materials.…”
Section: Reflectance Spectroscopy Of Phcsmentioning
confidence: 99%
“…La disponibilidad de datos Hymap (cuya razón señal-ruido es muy alta) permite la clasificación de pixeles que indiquen contaminación con hidrocarburos, inclusive a niveles de concentración bajos. Los suelos contaminados por aceites u otras substancias similares pueden ser identificados directamente en la imagen sin ambigüe-dad y sin requerir un proceso previo de corrección atmosférica (Hörig 2001).…”
Section: Introductionunclassified
“…An excellent review of the remote sensing of oil spills can be found in Jha et al [90]. Horig et al [91] demonstrated the basic ability of high signal-to-noise hyperspectral systems to detect hydrocarbon features in the near and short-wave infrared.…”
Section: Hydrocarbonsmentioning
confidence: 99%