In the remote sensing industry, we’re observing a growing market demand for lower-cost, lower-resolution solutions. This raises a critical question: what level of accuracy is being sacrificed with the lower resolutions, and can we strike the right balance between cost and performance to meet client needs?
To explore this within the utility sector, we collected data across a range of resolutions and applied our vegetation management analytics. Our focus is on understanding how resolution affects the accuracy of detecting vegetation that may grow into, overhang, or fall onto utility powerlines. Additionally, we’re assessing whether utilities lacking GIS data for their structures or wires can still be effectively supported at lower resolutions—and how this limitation might impact overall accuracy. This allowed us to evaluate which analytics remain effective at each resolution and how accuracy is impacted.
While our analysis is ongoing, early results are promising and suggest a viable path toward entering the low-resolution market in 2026.