Examples of imagery from experimental oil spills in the North Sea duri
ng August 1993 are presented to illustrate how remote sensing imagery,
if integrated into spill management systems, can affect the decision
making process. Time series data from multiple sensor types can be pro
cessed and interpreted from a response perspective using new spatial d
ata management and imaging software to aid emergency response efforts.
Until now, remote sensing platforms for oil spills, despite substanti
al records of past use, have been used as little more than spotter air
craft that supplemented reports from an observer with a camera and ske
tchpad, With the integration of image processing technology, multiple
sensors and aircraft avionics, spill surveillance, usually limited to
descriptions about the general size and approximate location of a patc
h of oil, can now provide quantitative information about the physical
aspects of an entire spill and an understanding of its behavior over t
ime, within the environment surrounding the spill. The ability to dete
ct and measure changes relating to the characteristics of a spill itse
lf, as well as the surrounding environment, marks the beginning for ne
w commercial opportunities and applications of remote sensing technolo
gy-oil spill detection being just one example. Further, it demonstrate
s how management decisions, emergency response and strategic planning
needs will be supported in coming years.