We developed and tested methodological components needed to compare satellite data with ground counts. This study was designed for three sites in Columbus, Ohio. We coordinated ground count data collection to an aerial photography mission. The aircraft data were processed to simulate 1-m resolution satellite data. We found that measures of traffic volume, speed, density and level of service could be manually determined from the aerial photographs and the ground sensors. We also developed explicit mathematical formulations of major components of the processes used to calculate the measures. The explicit formulations indicate that these processes can be automated in the future for feasibility tests using satellite data. Several technical issues would need to be addressed before implementing a state-wide satellite demonstration system. Developing suitable statistics to make meaningful comparisons, automating the spatially-rich image-based classification routines, automatically referencing these classifications to a geographic information system (GIS) database, and automatically referencing the ground counts to the same GIS database need to be addressed.


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