Paper
22 October 2004 Spatial analysis and visualization of oil spill monitoring results of the North Sea and Baltic Sea
Lars Tufte, Olaf Trieschmann, Thomas Hunsaenger, Ulrich Barjenbruch
Author Affiliations +
Abstract
In many European countries air- and spaceborne remote sensing data is operationally used for oil spill monitoring. For the Baltic Sea the yearly results of the aerial surveillance are collected by the Helsinki Commission (HELCOM) and for the North Sea by the Bonn Agreement Secretariat. To improve knowledge of the oil spill situation in the North Sea and the Baltic Sea these data sets were analyzed and visualized. If a geographical phenomenon may be reasonably modeled as point data is largely a question of scale. Oil spills on a sea basin level (North Sea, Baltic Sea) can be considered as point data. During the analysis we are essentially looking for patterns in the data. However, to combine oil spill surveillance results from different countries the data must be standardized. For standardization purposes it is important to have information about the surveillance effort, which means for instance the number of pollution control flights per year and the area covered or the number of acquired and analyzed satellite. Special incidents (e.g. accidents) may lead to a multitude of oil spills in a certain period of time which has to be considered during the analysis. The data was visualized taking into account additional information and available information about the surveillance activities. Kernel estimation was used to calculate oil spill density estimation. First results are promising. The strongest impediment is the unavailability of information for data standardization.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lars Tufte, Olaf Trieschmann, Thomas Hunsaenger, and Ulrich Barjenbruch "Spatial analysis and visualization of oil spill monitoring results of the North Sea and Baltic Sea", Proc. SPIE 5574, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, (22 October 2004); https://doi.org/10.1117/12.565560
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Cited by 4 scholarly publications.
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KEYWORDS
Surveillance

Pollution

Digital cameras

Visualization

Satellites

Visual analytics

Data modeling

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