US spy agency chief: era of maps is over, race of measurements has begun
The director of the US National Geospatial-Intelligence Agency (NGA), Lieutenant General Michelle Bredenkamp, said at the GEOINT symposium that the "era of maps and resolution has ended, giving way to a race of measurements." She described the increased operational tempo as the new normal and framed the agency's future as transforming into a data-centric organization capable of absorbing an avalanche of satellite information.
The central question has shifted from "do we see an object" to "do we notice changes in time." A Pacific example illustrates the point. Ten years ago, a US carrier strike group leaving San Diego could cross the ocean with large gaps between Chinese reconnaissance passes. Today, according to analysts' estimates, China's space-based observation system can track US surface ships continuously from port to operating area. The issue is not the number of satellites — there are already plenty in orbit — but the ability to produce a time series from which dynamics are extracted: where an object is heading, at what speed, when it departed and when it will arrive. A single frame of a port taken on a cloudy day at an oblique angle simply does not provide that information.
This drives a rethink of data requirements. Artificial intelligence, which must process these streams, becomes a critical component. The volume of satellite data has already exceeded analysts' capacity to handle it manually, pushing the NGA toward new analytical methods and automated systems. Bredenkamp's remarks underline a broader shift in intelligence work: the competitive advantage no longer lies in having the sharpest camera but in the ability to turn raw imagery into actionable knowledge at speed. The agency is now focused on building pipelines where machine learning filters and prioritizes data, flagging anomalies and changes that human analysts need to examine. The goal is to stay ahead of adversaries who are also deploying constellations and refining their own processing capabilities, turning what was once a static picture of the Earth into a continuous, dynamic record of activity.
