WP 3 Oil Spill Remote Sensing
Assoc. Prof. Camilla Brekke (WPL) and Dr. Christian Petrich (Norut Narvik)
The objective of this work package is to develop accurate remote sensing information retrieval techniques for reliable oil slick detection and characterization, and to improve modeling of oil behavior and fate in sea ice covered waters. Within this WP CIRFA develops algorithms for:
- Detection and characterization of oil spills on open water
- Detection and characterization of oil spills in sea ice.
SAR is the main sensor for detection and characterization of oil on open water. Due to a variation of oil distribution in sea ice depending on season and ice type, a suit of sensors is likely to prove advantageous in Arctic conditions. In this WP, CIRFA carry out research on multiple remote sensing sensors (such as PolSAR and optical systems) acquired by various platforms (such as satellite, aircraft, and RPAS).
Knowledge of the physical mechanisms of hydrocarbon spills in sea ice causing scattering, absorption and emission of electromagnetic signals is required to develop the information retrieval algorithms based on the remote sensing data. This involves understanding the fundamental science of the oil’s behaviour through observations and modelling. Within this WP, CIRFA takes part in and collects data through large-scale experiments and fieldwork dealing with both oil on open water and oil in sea ice.