Expectations for geospatial data in the AEC industry have changed rapidly in recent years. Survey teams are no longer simply documenting existing conditions. They are delivering highly accurate digital environments that engineers, architects, and planners depend on to make critical design decisions. At the same time, project schedules continue to accelerate, and new security requirements, such as compliance with the National Defense Authorization Act (NDAA), are shaping how data is collected and what technology can be used.
Lidar sensors and drones sit at the center of that shift. They have become essential tools for meeting the demands of the modern AEC industry, and they are also among the hardware categories most directly affected by NDAA requirements. Because these systems collect sensitive geospatial data and rely on components sourced across global supply chains, they have drawn particular scrutiny from government clients and regulators.
For AEC firms like Denver-based Galloway & Company, the combination of evolving compliance requirements, with growing project complexity and tighter timelines, highlighted opportunities to improve data quality and streamline workflows. These factors, along with a desire to use leading technologies, drove Galloway’s decision to adopt a new LiDAR platform that delivers precise, repeatable data while meeting evolving security and regulatory standards.
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The UAV LiDAR Compliance Threshold
NDAA-compliant systems are approved for U.S. government use because they exclude components from restricted foreign manufacturers and satisfy strict supply-chain and cybersecurity standards. That requirement, once largely limited to military work, has expanded steadily into federal, state, and local agency projects — utilities managing critical infrastructure, transportation departments, emergency response agencies, and municipal governments are all increasingly specifying compliant equipment.
Galloway’s team selected the Phoenix LiDAR miniRANGER-3, which is both NDAA-compliant and carries a Defense Contract Management Agency (DCMA) blue list certification. The blue list designation goes a step further than baseline NDAA compliance, providing independent vetting of the system’s supply chain and cybersecurity posture for sensitive government applications.
“Many clients now explicitly ask for NDAA-compliant equipment,” says James Kessner, UAS and HDS team manager at Galloway. “With a blue listed system, we can confidently meet those expectations.”
How LiDAR Survey Data Moves from Field to Production-Ready Deliverable
Compliance was only part of the equation. Galloway’s previous workflows required multiple software platforms to process, clean, and verify point cloud data, a time-intensive pipeline that added complexity before datasets were usable for survey or design applications, such as scan-to-BIM. Achieving survey-grade accuracy often meant significant manual cleanup in the office.
The miniRANGER-3 integrates high-performance RIEGL sensors and is supported by Phoenix’s processing ecosystem, including Phoenix SpatialExplorer and LiDARMill. The system generates significantly cleaner data with less noise than previous platforms, reducing manual editing before datasets can be used. Its 90-degree field of view captures more usable data, while LiDARMill’s automated classification removes most of the noise caused by vegetation, vehicles, or other objects. Point clouds from multiple flights stitch seamlessly within hundredths of a unit, and datasets are nearly production ready. Office staff can process data while field crews are still on site, cutting backend processing time by roughly half and enabling faster scan-to-BIM workflows.
“The Phoenix LiDAR [miniRANGER-3] produces a cleaner, more accurate point cloud with less noise straight out of processing,” says Kessner. “When we bring the data into secondary software to verify it, we rarely need to make adjustments, which makes our workflow much more efficient.”
The system also improves performance in complex environments. With improved laser class and beam divergence, the sensor captures up to five returns per pulse, allowing LiDAR to collect ground data through dense tree cover and produce reliable terrain models in areas where traditional aerial mapping methods struggle. A high-grade IMU (inertial measurement unit)—a sensor that tracks the drone’s position and orientation in flight—also enables operations at higher altitudes while maintaining accuracy, increasing swath width and allowing large sites to be surveyed more efficiently. Additional capabilities include nighttime flight operations and RGB camera integration to colorize point clouds.
Flight planning also plays an important role in ensuring consistent results. Flight planning tools allow the team to model flight parameters such as altitude, speed, and sensor settings before arriving on site, helping ensure the survey will meet accuracy requirements before the drone ever leaves the ground.
“For ALTA (American Land Title Association) surveys, precision is critical,” Kessner explains. “High-quality LiDAR gives us trustworthy, reliable data that aligns with our survey measurements, strengthens our process, and even helps identify discrepancies when they occur. It’s the backbone of confidence in our work.”
Choosing the Right UAV LiDAR Survey Platform
Galloway selected the Freefly Systems Astro Max as the flight platform. Its compact, lightweight design simplifies transport and deployment across varied field conditions, and it provides the stability needed for consistent, high-accuracy data capture. Paired with the miniRANGER-3 payload — which delivers the point density, multiple returns, and precision required for survey-grade deliverables while remaining light enough to preserve flight performance — the combination supports a wide range of survey and infrastructure mapping applications while maintaining the accuracy required for engineering and design workflows.
Applications and Use Cases of LiDAR for Surveying and AEC
With the upgraded LiDAR system and streamlined workflow in place, Galloway has applied LiDAR for surveying across AEC applications, demonstrating both its versatility and impact. Its high accuracy, clean point clouds, and efficient processing make it well suited for projects where traditional surveying methods are time-consuming or limited by terrain.
Current applications include:
- ALTA/NSPS surveys: Providing published accuracies with confidence while helping surveyors validate field measurements.
- Utility and infrastructure mapping: Capturing transmission lines, pipelines, roadways, and long corridors, even through dense vegetation.
- Landfill and large-scale development surveys: Collecting detailed terrain data quickly for planning and monitoring.
- Disaster relief and environmental management: Supporting flood mitigation and water resource planning by capturing terrain models that include ground beneath trees and complex landscapes.
Clean, classified point clouds move directly into scan-to-BIM workflows, allowing Galloway’s teams to model vertical structures and complex environments with less post-processing and faster delivery. Clients can access full point clouds through a web-based viewer, overlaid with current aerial imagery, and explore project sites in 3D to review site conditions before construction or fieldwork begins.
“LiDAR lets clients see up-to-date aerial imagery overlaid on their project and explore it in 3D through a web-based viewer,” explains Kessner. “They can virtually walk through the site, review details in real time, and make informed decisions.”
LiDAR for Surveying as a Competitive Differentiator in AEC
For Galloway, the investment in a new LiDAR platform wasn’t just about better data, it was about positioning the firm to take on work it couldn’t confidently bid before. NDAA compliance opens government and agency projects that were previously out of reach. Cleaner data and faster processing allow the team to handle larger, more complex projects.
As geospatial data becomes more deeply embedded in the AEC industry, the ability to efficiently deliver accurate, compliant, and production-ready datasets across a range of project types is becoming a competitive differentiator. Innovative firms like Galloway, that have already made this investment, are well positioned for what’s next; those that haven’t are already falling behind.
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A big thank you to the team at Galloway US for sharing their insights on this topic!
