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information on what the terrain was like over the past decades (baseline information), and in so doing provide important information on mitigation issues. In cases of past oil spills that have not been cleaned up, the images could provide important information on how fast and well the environment can (or if it can) repair itself. NSS and civilian satellite data would also show how quickly disturbed areas can revegetate after a disturbance such as clearing for road construction.
Because of the slower growth rate of vegetation in cold areas, these areas will have a much slower rate of natural restoration than will areas in warmer regions with sufficient moisture.
These are all important issues to understand when determining the level of restoration that will be
needed in the event of a spill, or upon decommissioning of facilities.
Probably the most important aspect for future use of satellite data is in preparing maps and
GIS databases with ever-greater detail. With improved data and the growing ability of modeling we will be able to better predict the impact of exploration, construction, operation, and restoration activities on the environment.
Within the near future, it will be relatively easy to model oil and gas movement between ground, air, and water and thereby predict the impacts on the local wildlife, vegetation, and air, water, and soil quality. We are using the NSS for the first time on environmental issues. As our modeling abilities improve with regard to predicting transport through different media and ecosystem types, we will make great strides in improving risk assessment.
The specific groups and organizations that may benefit from the results of this and future
studies include oil companies, government regulatory agencies, local officials, and other GCC
groups. Oil companies are interested in lowering costs while maintaining environmentally safe development activities. The remote sensing methods described here translate into economic benefits, especially for remote and inaccessible regions. In
addition to risk assessments, oil companies are especially interested in obtaining higher resolution (5 meter or better) terrain elevation data necessary for engineering studies and interpretation of seismic and other remotely sensed data. They also see utility in archived NSS data for documentation of predevelopment oil field conditions. As discussed in the previous section, government agencies are interested in regulatory reform, including baseline evaluation and monitoring at lower cost. Local officials can use these data and methods in planning for emergency response to oil spills. And because GIS
databases hold information at multiple scales, local officials can view local conditions in context with the regional overview. Finally, this project is a roadmap for other groups within the GCC to work cooperatively utilizing each country’s unique NSS capabilities.