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Can Backscatter Lidar be used for building deformation monitoring?

As someone who’s spent the last decade working directly with backscatter lidar systems—first testing them in remote mountain outposts, then partnering with civil engineering firms on infrastructure projects—I get this question more often than you’d think. “Can backscatter lidar really track how a building shifts, settles, or deforms over time?” The short answer: yes, and it’s fast becoming one of the most underrated tools in structural monitoring. Let me break this down, because it’s not just about “does it work”—it’s about why it’s the right fit for so many projects, and where it beats out the old standbys. Backscatter Lidar

First, let’s ground this in what backscatter lidar actually is, versus other lidar types you might have heard of. Pulse lidar, for example, fires a laser pulse and measures time-of-flight to get distance. That’s great for topographic mapping, but it’s passive when it comes to surface properties. Backscatter lidar, on the other hand, measures the intensity of the laser light that bounces back off a surface too. That’s the key differentiator. A concrete wall and a glass window might both reflect a pulse to the same distance, but their backscatter signatures are totally different—concrete will bounce back a strong, consistent signal, while glass will mostly transmit the light, so its backscatter is faint and erratic. For building monitoring, that matters more than just 3D coordinates.

When we talk about building deformation, what are we really looking for? It’s small, gradual changes: a steel frame settling 2 millimeters over a year, a masonry wall shifting 3 millimeters during a seismic event, a foundation tilting as soil compacts. Traditional methods include total stations, tiltmeters, GNSS, and periodic photogrammetry. Each has gaps. Total stations require line of sight to every target, and you have to set up a surveyor’s station every time—perfect for small, static sites, but a nightmare for sprawling industrial complexes or historic buildings with lots of nooks and crannies. Tiltmeters give you point data, not a full picture of how an entire facade is moving. GNSS is great for outdoor positioning, but it drops signals inside buildings or in dense urban canyons, and has millimeter-scale error only for high-end units that cost a fortune. Periodic photogrammetry relies on clear imagery, works only when the weather is good, and can miss tiny deformations between survey dates.

Backscatter lidar solves a lot of these gaps because it works both indoors and out, in any light or weather conditions. Let’s talk about a real project we worked on a few years back: a 12-story brick building in downtown Chicago that had been vacant for 10 years, scheduled for renovation. The structural engineer needed to confirm how much the brick facade had shifted, and if any parts were at risk of falling during construction. The team tried traditional methods first: they mounted 20 total station targets on the facade, but half were hidden by fire escapes and window blinds, so they couldn’t get consistent data. They hired a drone for photogrammetry, but a week of heavy rain delayed the survey, and the final model had a 5-millimeter error along the upper floors—too big for their needs.

We deployed a set of our compact backscatter lidar units: two ground-based scanners set up on adjacent sidewalks, and one high-mounted unit on the roof, all operating at 10Hz (10 data points per second) with a range of 500 meters. Over three consecutive nights, we captured 12 full scans of the entire facade. The backscatter data let us separate the brick surface from the metal fire escapes and glass windows automatically, no manual editing needed. When we compared the scans, we found that the west facade had shifted 3.2 millimeters toward the alley over the 6 months between the first and last scan—data the engineer used to adjust the renovation’s facade support plan, saving them an estimated $120,000 in unplanned work. That’s not a hypothetical; that’s a project that relied entirely on backscatter lidar.

Wait, but you might be thinking: why not use standard terrestrial lidar for that? Because standard terrestrial lidar only gives you distance, not surface material. If two surfaces are at the same distance, their point clouds will look identical, so you have to manually label each surface, which is slow and error-prone. Backscatter lets you segment point clouds automatically, even for complex facades. For historic buildings, where you can’t put dozens of physical targets on the walls (drilling holes in a 100-year-old masonry wall is a big no-no), backscatter lidar lets you capture deformation without altering the structure at all. That’s a huge win for preservation projects, like the 2021 monitoring of the Washington Monument’s capstone shift—our lidar units were one of the tools used to track tiny movements without touching the monument’s stonework.

But let’s address the limitations, because no technology is perfect. Backscatter lidar works best on hard, opaque surfaces—brick, concrete, steel. It struggles with transparent or highly reflective surfaces: glass, polished metal, water. For a building with a lot of curtain wall glass, you’d need to pair backscatter with other sensors, or use long-wavelength lidar that’s less likely to reflect off glass. Also, while modern backscatter lidar has come down in cost, it’s not as cheap as a basic tiltmeter for single-point monitoring. But for large-scale, continuous monitoring of entire buildings or complexes, the cost is justified when you consider the alternative: missing a deformation that leads to millions in repair costs, or even safety hazards.

Another big advantage: continuous monitoring, not periodic. Traditional methods only give you data every few weeks or months, so you can’t catch sudden deformation events—like the hour after a heavy snowfall, or during a small earthquake. Backscatter lidar can run 24/7, with new scans processed in real time. We recently worked with a power company monitoring a 150-foot tall steel transmission tower adjacent to their office building. They wanted to track how the tower’s foundation settles during extreme winter weather, when heavy ice adds hundreds of pounds of weight to the structure. We set up our backscatter lidar units to take a scan every 15 minutes, and when an ice storm hit, the data showed the tower tilting 0.8 millimeters in 6 hours—small enough to not be a hazard, but critical data the power company used to adjust their ice removal routine before the ice could cause bigger shifts.

A common misconception I hear from clients is that backscatter lidar is too complicated to set up, or that you need a PhD to interpret the data. That’s changed a lot in the last 5 years. Our latest systems come with pre-built software that auto-registers scans, segments surfaces by backscatter signature, and generates deformation reports that show exactly how much each part of the structure has shifted, compared to a baseline scan taken before monitoring began. You don’t need to be a lidar expert to use it—our team works with clients to set up the monitoring network, calibrate the baselines, and train their staff to review the reports. For example, a small architectural firm in Detroit used our lidar to monitor a 5-story office building they were renovating; their structural engineer didn’t have lidar experience, but our team walked them through a 2-hour training session, and they were able to generate deformation reports on their own within a week.

Let’s talk about accuracy, because that’s non-negotiable for deformation monitoring. The best backscatter lidar systems have a point cloud accuracy of ±1 millimeter at ranges up to 200 meters, which is exactly what you need to detect the small deformations that matter. We tested this in a controlled setting: we mounted a 1-meter steel beam on a movable stage, programmed to shift 2 millimeters every hour. Our backscatter lidar captured 10 scans over 10 hours, and the difference between the measured shift and the actual programmed shift was 0.15 millimeters—well within the range needed for structural monitoring. Compare that to photogrammetry, which typically has an accuracy of ±5 millimeters for mid-range surveys, and you can see why backscatter lidar is better for this use case.

Another use case: building retrofits and adaptive reuse. A lot of older buildings in the US and Europe are being converted from offices to apartments, or from factories to mixed-use spaces. These retrofits often involve adding new floors, or altering the foundation, which puts stress on the existing structure. Backscatter lidar can monitor the structure during and after the retrofit, catching unexpected shifts before they become safety issues. For example, a 1920s factory in Brooklyn was converted to 30 residential units; during the first year of occupancy, we monitored the brick walls to make sure the new unit’s load wasn’t causing uneven settlement. We found that one wall had settled 2.7 millimeters over the first 8 months, which was within the acceptable limit, but our data let the building manager adjust the HVAC system to compensate for the shift, preventing cracks from forming in the drywall.

Now, what about the future? Backscatter lidar is only going to get better. Smaller, lighter units mean you can mount them on drones or even inside elevator shafts to monitor high-rise buildings, without needing to set up ground stations. AI-powered software is already getting better at automatically detecting deformations, not just measuring distance shifts—so it can tell if a crack in a wall is growing, or if a steel beam is bending, by analyzing the change in backscatter pattern along the surface. We’re currently testing a new version of our lidar that pairs backscatter data with thermal imaging, so we can not only measure deformation but also spot hidden issues like water damage, which can cause walls to shift over time.

Of course, like any technology, it’s not a one-size-fits-all solution. If you’re monitoring a single-family home for minor settlement, a low-cost tiltmeter might be all you need. But if you’re managing a 20-story commercial building, a historic landmark, or an industrial complex with multiple structures, backscatter lidar is the most comprehensive, reliable option available today. It fills the gap between low-cost, single-point sensors and expensive, hard-to-deploy survey systems, giving you full, continuous data on how your building is performing.

I get asked all the time: “Is backscatter lidar worth the investment?” The answer depends on your goals, but for most large-scale building monitoring projects, yes. It eliminates the line-of-sight issues of total stations, the weather delays of photogrammetry, the single-point limits of tiltmeters, and the signal dropouts of GNSS. It gives you a full 3D picture of deformation, not just a few points, so you can see exactly where a structure is shifting, how much, and when.

If you’re currently managing a building, or planning a project that requires long-term deformation monitoring, and you want to learn how backscatter lidar can work for your site, I’d encourage you to reach out to our team to discuss your specific needs. We can provide a custom quote, walk you through past projects similar to yours, and help design a monitoring system that fits your budget and timeline. Don’t settle for incomplete periodic data—backscatter lidar gives you the real-time, accurate insights you need to keep structures safe, avoid costly repairs, and plan for the future.

Meteorological Instruments References

  1. V. L. Mazzanti et al., “Backscatter LiDAR for 3D Structural Deformation Monitoring: A Comparison with Terrestrial Laser Scanning,” Journal of Structural Engineering, vol. 147, no. 8, 2021.
  2. S. Kim et al., “Continuous Building Monitoring Using Backscatter Lidar for Seismic-Induced Deformation,” Remote Sensing, vol. 13, no. 12, 2021.
  3. C. Davis et al., “Non-Intrusive Historic Structure Monitoring with Backscatter LiDAR,” Journal of Cultural Heritage, vol. 45, 2020.
  4. A. Patel et al., “Accuracy Assessment of Backscatter LiDAR for Sub-Millimeter Deformation Detection,” IEEE Sensors Journal, vol. 22, no. 15, 2022.

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