Mapping & Geospatial

An accuracy budget is built backward from the deliverable's tolerance: the positioning error the end product can absorb is apportioned across the receiver, the correction method and the field procedure, and that apportionment — not a datasheet headline — decides the receiver class. Survey control, engineering-grade mapping and reconnaissance-level positioning each land in a different tier, and pinning the requirement to the right one is done before a receiver is selected, not discovered when the deliverable fails to close.

The spread between those tiers is real money, so getting the tier right is where a mapping program protects its budget rather than paying for accuracy it will never use. RTK and PPK correction services are configured for the positioning method the work calls for, whether that's a base-and-rover survey or a network correction subscription.

LiDAR and imaging payloads are matched to platform and point-density requirements — airborne, mobile or terrestrial each imply a different sensor class and a different acquisition workflow. We scope the sensor against the coverage area and the deliverable's density, not a headline points-per-second figure.

The airframe or mobile platform that carries the sensor is part of the specification: mounting, power, vibration isolation and data storage are validated with the sensor so the capture platform performs as one integrated system in the field.

Capture hardware that can't feed the analysis pipeline is a bottleneck, not a tool. We confirm your GEOINT software's supported point-cloud and imagery formats during scoping and configure the capture hardware to output directly into that pipeline, so the data lands ready to process.

Where a program standardizes across teams, we set receivers, LiDAR units and tablets to a common data schema and workflow before deployment, so data from every crew merges into the same pipeline without a manual reconciliation step.

Survey and mapping hardware works in conditions a data-center rugged rating doesn't anticipate — mud, moisture, drop risk and long days on battery with no outlet in sight. We source data-capture hardware rated for the conditions your crews actually report, not the conditions a marketing photo suggests.

For programs running multiple field teams, we configure and kit matching hardware sets — receivers, LiDAR, tablets, power and cases — to a common configuration, so every crew fields the same setup and data merges cleanly.