The spillage of oil in Polar Regions is particularly serious due to the threat to the environment and the difficulti es in detecting and tracking the full extent of the oil seepage beneath the sea ice. Development of fast and reliable sensing techniques is highly desirable. In this paper hyperspectral imaging combined with signal processing and classification techniques are proposed as a potential tool to detect the presence of oil beneath the sea ice. A s mall sample, lab based experiment , serving as a proof of concept, resulted in the successful identification of oil presence beneath the thin ice layer as opposed to the other sample with ice only. Th e paper demonstrate s the results of this experiment that granted a financial support to execute full feasibility study of this technology for oil spill detection beneath the sea ice.
|Number of pages||1|
|Publication status||Unpublished - 10 May 2016|
|Event||The 2016 European Space Agency Living Planet Symposium - Prague, Czech Republic|
Duration: 9 May 2016 → 13 May 2016
|Conference||The 2016 European Space Agency Living Planet Symposium|
|Period||9/05/16 → 13/05/16|
- oil spill
- sea ice
- polar regions
- image processing and data fusion
- data visualisation
Polak, A., Marshall, S., Ren, J., Hwang, B. P., Hagan, B., & Stothard, D. J. M. (2016). Remote oil spill detection and monitoring beneath sea ice. Poster session presented at The 2016 European Space Agency Living Planet Symposium, Prague, Czech Republic.