Maxar and Bee Maps Are Transforming Road Network Mapping

This combination provides unmatched capability: Maxar's proprietary algorithm identifies where changes have occurred, Hivemapper contributors capture detailed ground-level views, and high-resolution satellite imagery from Maxar provides the contextual overhead perspective that connects everything together. Early results from Austin show 80% success in documenting identified changes.
Customers of Maxar and/or Bee Maps can deploy this innovative approach into their respective workflows for timely and precise map updates today.

Maxar and Bee Maps have devised a data-backed joint solution to outpace manual surveys and overcome limitations of unreliable secondary signals. First, Maxar applies proprietary change detection algorithms across broad areas to spot where changes have occurred. Once these localized areas are identified, Hivemapper's street-level images confirm these changes up close. Finally, Maxar tasks an imagery collection of the current area to replace the outdated view. This approach helps mapmakers work faster and more accurately by showing exactly what has changed and where, eliminating guesswork and wasted effort.