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

REMOTE SENSING OF ENVIRONMENT

卷:256

Article

Scafutto, Rebecca Del'Papa Moreira¹  Lievens, Caroline²  Hecker, Christopher²  Meer, Freek D. van der²  Filho, Carlos Roberto de Souza¹ 

[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

关键词: Hydrocarbon;    Soil;    Hyperspectral;    Thermal infrared;    Airborne;    Mapping;    Seepage;    Leakage;   

DOI  :  10.1016/j.rse.2021.112323

来源: Elsevier

【 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.

【 授权许可】

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