Joint lab, field and airborne spectral database for the quantification of soil hydrocarbon content

Soil-hydrocarbon mixtures give complex spectral responses. This has prohibited any physical modelling until now. Spectral analysis and quantification of contamination rate has been performed by regression models, calibrated on spectral databases. Only lab or field databases have been used. This study proposes an innovative joint lab-field-airborne spectral database in the reflective domain (0.4–2.5/xm) to assess the performance of regression models on airborne images of soil-hydrocarbon mixtures. Sample preparation and spectral measurements are described. Implied instruments are an ASD FieldSpec Pro 2 spectrometer and the HySpex hyperspectral camera. Accordance between ground truth and airborne data is shown. Several raw outdoor spectra are displayed.

[1]  P. Lagacherie,et al.  Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery , 2015 .

[2]  Yufeng Ge,et al.  Rapid identification of oil-contaminated soils using visible near-infrared diffuse reflectance spectroscopy. , 2010, Journal of environmental quality.

[3]  D. F. Malley,et al.  Analysis of Diesel Fuel Contamination in Soils by Near-Infrared Reflectance Spectrometry and Solid Phase Microextraction-Gas Chromatography , 1999 .

[4]  Heinz W. Zwanziger,et al.  Near Infrared Spectroscopy of Fuel Contaminated Sand and Soil. I. Preliminary Results and Calibration Study , 1998 .

[5]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[6]  Xavier Briottet,et al.  Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Eyal Ben-Dor,et al.  Quantitative Assessment of Hydrocarbon Contamination in Soil Using Reflectance Spectroscopy: A “Multipath” Approach , 2013, Applied spectroscopy.

[8]  D. P. Ray,et al.  Analysis of petroleum contaminated soils by spectral modeling and pure response profile recovery of n-hexane. , 2014, Environmental pollution.

[9]  B. Haack,et al.  Detecting and discriminating petroleum and petroleum products from water on terrestrial backgrounds with hyperspectral remote sensing , 2012 .

[10]  E. Cloutis Spectral Reflectance Properties of Hydrocarbons: Remote-Sensing Implications , 1989, Science.

[11]  Sumanth Kaushik,et al.  Near-IR Reflectance Spectroscopy for the Determination of Motor Oil Contamination in Sandy Loam , 1996 .

[12]  Abdul Mounem Mouazen,et al.  Combined Effects of Oil Concentration, Clay and Moisture Contents on Diffuse Reflectance Spectra of Diesel-Contaminated Soils , 2013, Water, Air, & Soil Pollution.

[13]  Kay Winkelmann On the applicability of imaging spectrometry for the detection and investigation of contaminated sites with particular consideration given to the detection of fuel hydrocarbon contaminants in soil , 2005 .

[14]  Frederic Coulon,et al.  Analysis of petroleum-contaminated soils by diffuse reflectance spectroscopy and sequential ultrasonic solvent extraction-gas chromatography. , 2014, Environmental pollution.