Colorized RANGER-FLEX RFM2 dual head data set, utilizing the Mosaic X panoramic camera for colorization.

This RECON-F4 demo was collected during 2 flights at 80 m AGL (although this scanner is capable of producing great data even higher), 10 m/s with the RECON-F4, and processed in SpatialExplorer.  Relative accuracy between flightlines came in at 0.064 US-ft, and the data hit surveyed check points at 0.07 US-ft without needing adjustment to control. The point cloud was colorized using imagery from the integrated full-frame camera.

Careers in geospatial technology rarely follow a straight line, and Russell White’s is no exception. Today, he serves as Geospatial Technology Manager at CS Tech AI, where he’s building advanced aerial and mobile LiDAR programs to support large-scale infrastructure and utility projects. But his path to this role has taken him through traditional land surveying, early terrestrial laser scanning, UAV LiDAR, and mobile mapping; evolving right alongside the technology itself.

What makes Russell’s story especially unique isn’t just the roles he’s held, but the consistency of one key decision: at every stop along the way, he’s chosen to bring Phoenix LiDAR Systems with him. Across four different companies, Russell has advocated for Phoenix solutions; introducing new systems, scaling mapping programs, and helping teams expand their technical capabilities. Along the way, he has relied on a range of Phoenix platforms, including the miniRANGER Lite, Scout/XT32, and, most recently, the Phoenix RANGER-Flex, to support both aerial and mobile mapping workflows. For him, it’s never been about chasing the newest hardware, but about working with a partner who provides the training, support, and flexibility needed to deliver real-world results.

In this success story, Russell shares how each career transition reinforced that choice and why Phoenix has remained a constant as his responsibilities, projects, and ambitions have grown.

Download the PDF to read this whole Phoenix LiDAR Customer Success Story to learn how Russell has implemented Phoenix systems across four companies and why he considers Phoenix an extension of his team.

Also published on LiDAR News’ website here.

Watch this video interview on YouTube here.

FOR IMMEDIATE RELEASE

[Huntsville, AL] — February 20, 2026 — Revolution Geosystems, a leader in comprehensive geospatial solutions, announces the successful acquisition of Phoenix LiDAR Systems, a pioneer in flexible survey-grade lidar mapping solutions. This strategic move unites two powerhouses in the industry.  

The integration of Phoenix LiDAR Systems into the Revolution Geosystems family marks a significant milestone in the company’s mission to provide “all-under-one-umbrella” services. By combining Phoenix’s world-class hardware and software with Revolution Geosystem’s aviation and equipment rental services, the acquisition bolsters Revolution Geosystems’ services to support the geospatial market in three key areas:

Turnkey Hardware: Revolution Geosystems’ expanded portfolio will now include Phoenix LiDAR System’s turnkey hardware solutions for both manned and unmanned platforms, recognized for versatility and industry-first innovations, alongside proven mobile mapping technologies. 

Advanced Data Processing Tools: With Phoenix’s powerful software suite, Revolution clients gain access to a comprehensive software environment for mission planning, data processing, and analysis, helping reduce turnaround times and accelerate decision-making. This enables our clients to be even more efficient with the data they collect. 

Enhanced Service Capabilities: The deal deepens Revolution’s ability to provide a full-service ecosystem of equipment, software, and aerial acquisition services, ensuring clients have the exact tools they need for project success.

“This acquisition is a perfect alignment of strengths,” said Paul Rossouw, CEO of Revolution Geosystems. “Phoenix LiDAR Systems has built a reputation for pushing the boundaries of what is possible in remote sensing. By bringing their turnkey integrated lidar payloads and experienced software development team into our family, we are offering our clients a deeper level of support and a more seamless path to geospatial data acquisition and processing than ever before.”

“Joining forces with Revolution Geosystems allows us to scale our technology and reach a broader audience of professionals who need precision and reliability,” said Rob Dannenberg, CEO of Phoenix LiDAR Systems. “We are excited to integrate our hardware and software expertise into Revolution’s robust service model, ensuring our users continue to lead the way in their respective fields.”

Current Phoenix LiDAR Systems customers can expect a seamless transition, with continued support for existing products and an expanded roadmap for future innovations. 

ABOUT REVOLUTION GEOSYSTEMS

Revolution Geosystems is a premier provider of geospatial equipment and aerial acquisition services. The company offers its fleet of over 50 modern Cessna Caravans, Cessna 206H aircraft, sensor rentals, and a global equipment online marketplace to geospatial clients. 

ABOUT PHOENIX LIDAR SYSTEMS

Phoenix LiDAR Systems offers a full line of turnkey, integrated lidar systems for unmanned and manned aerial acquisition, robust mobile mapping lidar solutions, and a full suite of planning, acquisition, and processing software.

MEDIA CONTACT:

Lisa McConnell 

Vice President – Marketing & Sales

lisa.mcconnell@revgeo.io

303-819-8714

LiDAR remote sensing systems utilizing GNSS/INS are reliant on the integration of
an accurate Inertial Measurement Unit (IMU) to achieve high-quality data. The IMU
forms the core of the navigation system, which is used to estimate a trajectory. This
trajectory is then used for georeferencing (“fusing”) raw LiDAR range data into a point
cloud. IMUs vary in terms of performance and price, so selecting the right IMU for a
given LiDAR application is an important step.

IMU hardware collects data from gyroscopes and accelerometers. Gyroscopes, which
are used to measure rates of rotation along 3 axes (roll, pitch, and yaw), have inherent
measurement imperfections. When a gyroscope is stationary and not rotating, output
measurements, which should be constant due to the lack of rotation, will in fact change,
or drift, over time. It’s important to consider that an IMU may drift along certain axes,
even when not completely stationary. For example, traveling with a constant heading
means that the gyroscope associated with measuring heading is nearly at rest and
subject to drift. Drift along the heading axis is typically more impactful than the drift
observed along the pitch and roll axes, as “A good portion of the pitch (attitude) and roll
axis gyroscope drift can be removed within an IMU through the use of accelerometer
feedback to monitor position relative to gravity” (Analog Devices, 2017).

Heading drift is most pronounced when a vehicle travels in a relatively straight path
for a prolonged period of time, as heading estimates degrade in accuracy due to an
accumulation of gyroscope noise. This is particularly problematic with aerial LiDAR
data acquisition, as single-grid type and corridor acquisitions must take into account
how long the IMU can travel in a straight path without accumulating too much drift.
To mitigate this, operators will typically limit their flight line lengths accordingly or
perform dynamic maneuvers in the middle of long flight lines.

Download the whitepaper to learn more.

The RANGER-U240 was flown over Big Sandy Creek in Texas for post flood mapping at 250 m AGL, 65 knots. The result was 130 points/square meter, per line.

In July 2025, the Texas Hill Country experienced a devastating and deadly flooding event. As an Austin-based company, the Phoenix LiDAR team felt a strong responsibility to contribute in any way we could. First by volunteering in recovery efforts, and then by deploying our LiDAR technology to capture the effects in the aftermath.

To better understand the impact, our team conducted a manned mission with a Robinson R44 helicopter, deploying the 𝗥𝗔𝗡𝗚𝗘𝗥-𝗨𝟮𝟰𝟬 LiDAR system with a PhaseOne iXM-GS120 camera to capture high-resolution post-flood data.

Floods reshape entire communities, and understanding their impact is critical for recovery. Our team captured and processed post-flood LiDAR, creating a dataset that may be of interest to researchers, planners, and engineers working on:

• Flood modeling
• Understanding flood risks
• Infrastructure resilience
• Planning

We’re making this dataset publicly available in hopes it can support anyone who can use it for research, inform cleanup, planning, or long-term flood mitigation.

The RECON-F4 was flown at 120 m for a mapping flight at Phoenix LiDAR’s calibration site, flown at 6 m/s.

This RANGER-U580 sample dataset covers roughly 50 square miles of North Austin, Texas.

The project was flown with a Cessna 172 at 75 knots and 615 m above ground level. Data was processed in SpatialExplorer version 9.

Results:
34 points/m², per flight line
7 cm GSD

Full RANGER-U580 dataset available for download. Contact our team at sales@phoenixlidar.com for a link to download.

Check out our RANGER-Flex 𝗠𝗼𝗯𝗶𝗹𝗲 + 𝗔𝗲𝗿𝗶𝗮𝗹 𝗱𝗮𝘁𝗮 𝘀𝗲𝘁 of the University of Central Florida – Rosen College of Hospitality Management, recorded during the 2025 TopoDOT User Conference.

This data set features mobile and aerial scans by the RANGER-Flex, which were matched together using 𝗟𝗶𝗗𝗔𝗥𝗦𝗻𝗮𝗽. First, the site was flown using a single 𝗥𝗔𝗡𝗚𝗘𝗥-𝗙𝗹𝗲𝘅 LiDAR system mounted to a Harris Aerial 𝗛𝟲𝗘. Then, this same aerial LiDAR system was mounted inside the 𝗥𝗙𝗠𝟮 𝗺𝗼𝗯𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺, which enables dual-head mobile LiDAR collection.

Once the mobile data set was collected, the scans were matched together automatically using 𝗟𝗶𝗗𝗔𝗥𝗦𝗻𝗮𝗽’𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗖𝗹𝗼𝘂𝗱 functionality. Both scans were then colorized using the 𝟲𝟭 𝗠𝗣 𝗥𝟲 aerial camera.

Full Dataset available for download. Contact our team at sales@phoenixlidar.com for a link to download.

Modularity is a key feature of the RANGER-FLEX laser mapping product line.

These systems can be quickly reconfigured, with sensors added and/or removed, to allow for optimized utilization on a variety of vehicle types. Modularity also presents a challenge: How can a system calibration, which is a cornerstone of data accuracy, be preserved if laser scanners and cameras are routinely separated from each other and from the navigation system? The RANGER-FLEX has been engineered to specifically address this, and a series of datasets were collected to test the stability of its calibration.