Hyperspectral Remote Sensing for Detection of Natural Hydrocarbon Seeps

Saad Khan

Abstract


A variety of remote sensing techniques have been used for detecting hydrocarbon seepages. However, limited work has been carried out using hyperspectral remote sensing for detecting these seepages. This research envisages to study the hypothesis that hydrocarbons seep comes out to the surface of the earth and can cause alteration in rocks and soils that can be detected using satellite remote sensing techniques. Hyperspectral image of EO-1 Hyperion has been used to detect seeping hydrocarbons in the Frontier Region Dera Ismail Khan (FR DI Khan) of Pakistan’s tribal belt.  Spectral Angle Mapper (SAM), Adoptive Coherence Estimator (ACE) and Mixture Tuned Matched Filtering (MTMF) algorithms were used for this purpose. Application of hyperspectral data with accuracy of 75 to 100 % demonstrated successful hyperspectral mapping techniques for detecting hydrocarbon seeps.

 


Keywords


Hyperspectral, remote sensing, hydrocarbon seepages, seeps, Hyperion, Pakistan, SAM

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