A spatial-spectral approach for visualization of vegetation stress resulting from pipeline leakage

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Hydrocarbon leakage into the environment is a major problem with large economic and environmental impacts. Traditional methods for investigating seepage and pollution, such as drilling, are time consuming, destructive and expensive. Remote sensing has proved to be a tool that offers a non-destructive investigation method and has a significant added value to traditional methods. Optical remote sensing has been extensively tested for exploration of onshore hydrocarbon reservoirs and detection of hydrocarbons at the Earth's surface. Theoretically, remote sensing is a suitable tool for direct and indirect detection of the presence of hydrocarbons in the environment. In this research we investigate a leaking pipeline through analysis of hyperspectral imagery (HyMap). Due to inhomogeneous field cover, variations between fields turned out to be much larger than infield variations related to pollution issues. To overcome this problem a spatial-spectral normalization procedure was developed using moving kernels to enhance pollution related anomalies. The final results shows local anomalies which are likely related to hydrocarbon pollution.

Original languageEnglish
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Issue numberPart 7
Publication statusPublished - 1 Jan 2006
EventISPRS Commission VII Symposium on 'Remote Sensing: From Pixels to Processes' 2006 - Enschede, Netherlands
Duration: 8 May 200611 May 2006


  • Hydrocarbon
  • Hyperspectral
  • Pipeline
  • Spatial
  • Stress
  • Vegetation


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