Detection of petroleum hydrocarbons in continental areas using airborne hyperspectral thermal infrared data (SEBASS)

被引:6
作者
Scafutto, Rebecca Del'Papa Moreira [1 ]
Lievens, Caroline [2 ]
Hecker, Christopher [2 ]
Meer, Freek D. van der [2 ]
Filho, Carlos Roberto de Souza [1 ]
机构
[1] Univ Estadual Campinas, Inst Geosci, UNICAMP, POB 6152, BR-13083855 Campinas, SP, Brazil
[2] Univ Twente, Fac Geo Informat Sci & Earth Observat, Dept Earth Syst Anal, Hengelosestr 99, NL-7514 AE Enschede, Netherlands
基金
巴西圣保罗研究基金会;
关键词
Hydrocarbon; Soil; Hyperspectral; Thermal infrared; Airborne; Mapping; Seepage; Leakage;
D O I
10.1016/j.rse.2021.112323
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Remote sensing tools have proven to be effective for direct detection of petroleum hydrocarbons (PHC) in continental areas. PHC yield diagnostic absorption features in the near, shortwave, midwave, and thermal infrared (NIR-SWIR-MWIR-TIR) ranges. Thus far, the NIR-SWIR range has been primarily exploited for remote sensing PHC detection, whereas the application of MWIR and TIR data has remained underexplored. In this work, we aim to close this gap by using the Spatially-Enhanced Broadband Array Spectrograph System (SEBASS) (7.6?13.5 ?m) to map PHC-impregnated soil substrates. A laboratory experiment was performed to identify the features in pure crude oil samples, in dry/wet mineral substrates, and in their physical mixtures using attenuated total reflectance (ATR) and directional-hemispherical reflectance (DHR) measurements. A similar setting was designed in an open environment and imaged by the SEBASS sensor. Close-range spectroscopy indicated that PHC features between 7 and 15 ?m are subtle in comparison to the features of the mineral substrates, thus hindering direct identification of the PHC spectrally. However, the PHC coating of the grains increased the emissivity of the background features -a finding that was supported by SEBASS data processing using a matched filtering technique. The SEBASS data indicated that besides an increase in the emissivity of the underlying substrates, the presence of PHC also induces a change in the temperature of the contaminated targets. The combination of these two factors highlighted the contaminated sites indirectly. Since the mapping of clean, moist and PHC contaminated sites with TIR data depends on variations in the emissivity and temperature of the targets, the application can be extended to orbital sensors with lower spectral resolution (such as ASTER and ECO-STRESS), enabling the monitoring of larger areas.
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页数:14
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