5 Key Considerations When Selecting a LiDAR Survey Provider

Commissioning a LiDAR survey is a significant investment — whether you are from an LGU (Local Government Unit), a planning officer, private developer, or an infrastructure engineer. The surveying data you receive will inform decisions that can span years: flood mitigation plans, infrastructure designs, land use policies, and more.

But not all surveying providers are equal. Choosing the wrong one does not just mean subpar data. It can mean unusable outputs, failed project timelines, legal complications, and — in the worst cases — decisions made on fundamentally incorrect information.

Here are five considerations that can make or break your LiDAR project, regardless of sector.

This article is part of AB Surveying and Development's (ABSD's) LGU Resource Series. If you are new to LiDAR surveys, we recommend reading our guide, "LiDAR Surveys for LGUs: What You Need to Know Before Commissioning One," before continuing.

1. Legal Compliance and Proper Certification

The first question to ask any provider is not about their equipment or their portfolio. It is whether they are legally authorized to operate.

In the Philippines, aerial LiDAR surveys involve both airspace and geodetic work — two areas with strict regulatory requirements. Providers must secure flight permits from the Civil Aviation Authority of the Philippines (CAAP) before any aircraft — whether manned or unmanned — can operate over your area. Surveys conducted without proper CAAP authorization expose both the provider and the client to legal liability and, more critically, produce data that may be challenged or invalidated.

On the geodetic side, all survey outputs must be signed and sealed by a licensed Geodetic Engineer under Philippine law. This is not a formality. It is what gives your deliverables legal standing for land use planning, infrastructure design, and government reporting purposes.

Coordinate systems are equally important. Survey data must comply with the Philippine Reference System 1992 (PRS92), the national standard maintained by the National Mapping and Resource Information Authority (NAMRIA). Providers should also work with NAMRIA-verified ground control points to ensure that the coordinates in your dataset are traceable to a reliable national reference — a critical requirement for any output that will be used in official planning or engineering documents.

If a provider cannot clearly demonstrate compliance in all three areas — CAAP permitting, licensed geodetic sign-off, and PRS92-compliant coordinates — do not proceed.

2. Processing Capabilities

Many providers can acquire LiDAR data. Fewer can process it correctly.

Data acquisition is only the first half of a LiDAR survey. What happens afterward — the classification, filtering, and production of your actual deliverables — is where the quality of your dataset is determined. And this is where providers most commonly fall short.

Raw LiDAR data is a point cloud: millions of laser return points that already carry coordinate information, but without classification, it is difficult to visualize meaningfully and nearly impossible to use because the system does not yet know which points represent the ground, which are vegetation, which are structures, and which are everything else. Ground points need to be separated from vegetation, structures, and other features to produce an accurate Digital Terrain Model (DTM). Buildings, trees, roads, and utilities each need to be correctly identified and isolated. When classification is done poorly or rushed, the resulting DTM is inaccurate, and every downstream product built from it inherits that error.

Stitching is another common failure point. When a survey area requires multiple flight lines or passes, the individual datasets must be seamlessly joined. Misaligned stitching produces visible seams in your point cloud and elevation models. In some cases, when unreliable equipment is used, the datasets cannot be stitched together at all — because the same physical feature appears in different positions across passes, a direct result of aircraft movement that the system's IMU failed to account for accurately. This connection between equipment quality and processing outcome is worth understanding before you evaluate any provider, and it is covered in the next section.

Ask your provider directly: What classification workflow do they use? How do they validate their outputs before delivery? What quality control process ensures that the final dataset meets accuracy standards? If they cannot answer these questions clearly, their processing capability is likely not where it needs to be.

3. LiDAR Equipment and Platform

The equipment your provider uses directly determines what the data can and cannot capture — and how reliable it will be across your entire coverage area.

Two technical factors matter most: the sensor's multiple return capability and the quality of its Inertial Measurement Unit (IMU).

Multiple returns refer to a LiDAR sensor's ability to record more than one reflection from a single laser pulse. This is critical for surveying vegetated areas. When a laser pulse hits a tree canopy, a high-quality sensor captures the return from the canopy surface and continues to record subsequent returns as the pulse penetrates through gaps in the leaves, ultimately reaching the ground. This is what allows the system to produce an accurate bare-earth DTM beneath forest cover. Sensors with limited multiple return capability cannot do this reliably, resulting in a DTM that reflects the canopy rather than the terrain beneath it. For applications like flood modeling, drainage design, and contour mapping, this is not a minor issue — it is a fundamental flaw.

The IMU is equally critical. No aircraft — manned or unmanned — flies in a perfectly straight, stable line. Every platform experiences constant movement: pitch, roll, and yaw. The IMU is what records these movements precisely so they can be corrected during post-processing, ensuring that every laser return point lands where it actually should in three-dimensional space. Survey-grade IMUs found in purpose-built aerial LiDAR systems are designed to handle this at the accuracy levels large-scale surveys demand. Some drone-based LiDAR setups, particularly when deployed across large areas, rely on less precise IMUs that cannot adequately correct for aircraft movement — introducing positional errors that compound across the entire dataset and, as discussed in the previous section, can make stitching unreliable or impossible.

This leads to the drone versus manned aircraft question. Drone LiDAR has legitimate applications — particularly for small areas, corridor surveys, or situations requiring very low flight altitude. But for large-area coverage typical of LGU surveys covering thousands of hectares, drone-based surveys require a significantly higher number of individual flights. Each additional flight introduces more data to stitch, more opportunity for error, and considerably more time. For large-scale projects, manned aerial LiDAR remains the more efficient and reliable approach.

4. Range of Surveying Capabilities

LiDAR alone does not always tell the complete story of a landscape. Depending on your project's objectives, you may need data that a single survey method cannot provide, and your provider should be equipped to deliver it.

Consider what is often missing from a standard aerial LiDAR survey:

Coastal and riverine LGUs, or any project involving bodies of water, require bathymetric surveying to capture underwater terrain. Without it, your flood models and drainage designs are working with incomplete data — the terrain simply stops at the water's edge. Bathymetric surveys can be conducted for both shallow and deep water environments and, when combined with aerial LiDAR, produce a continuous elevation model that spans land and water seamlessly.

At the urban scale, aerial LiDAR captures rooftops and general structure outlines well, but the facades, street-level geometry, and fine structural detail of buildings are better captured through mobile LiDAR scanning. This is particularly relevant for LGUs that need a complete structural inventory of their urban core, or for private developers assessing an existing built environment.

For highly detailed as-built documentation — individual structures, engineering facilities, or heritage sites — terrestrial LiDAR provides point cloud resolution that aerial surveys cannot match.

A provider that offers only one method is a provider that may push you toward an approach that is not fully suited to your needs. The right provider can assess your objectives and recommend or combine the methods that will actually deliver the outcome you need.

5. Experience, Execution, and Post-Delivery Support

Technical capability means little without the experience to apply it well at scale.

Large-area surveys, particularly LGU-scale projects covering entire municipalities or cities, introduce logistical complexity that smaller commercial projects do not. Flight planning across varied terrain, coordination with local authorities, management of ground control point networks across wide coverage areas, and processing of datasets that may run into hundreds of gigabytes all require a team that has done this before and built reliable workflows around it.

Ask for a track record. How many large-scale surveys has the provider completed? Have they worked on government or LGU projects? Can they provide references or case studies? Experience at scale is not the same as general survey experience. The two require different capabilities.

Equally important is what happens after the data is delivered. Raw datasets and processed deliverables are only useful if the recipient can work with them. A provider that hands over files and considers the project closed is leaving a significant gap in your investment.

The better providers offer ground validation — a post-delivery process where random conventional surveying checks are conducted to verify that the LiDAR data meets the accuracy standards agreed upon in the project scope. This step protects you. It means the dataset has been independently verified before you build anything on top of it.

Beyond validation, some providers, Like AB Surveying and Development (ABSD), also offer GIS software that integrates directly with your LiDAR deliverables, giving your team the ability to query, analyze, and visualize the data independently. For LGUs and organizations without dedicated GIS staff, a technical orientation where the provider walks your team through the software and how to work with the data for your specific requirements can make the difference between a dataset that sits unused on a hard drive and one that becomes an active planning tool.

Post-delivery support may not carry the same weight as equipment quality or processing capability but when you are commissioning a large-scale survey, whether for an LGU or any other industry, the stakes are high enough that there is no good reason to choose a provider that offers less. If the support exists, and it meaningfully protects your investment, it should factor into your decision.

The Bottom Line

A LiDAR survey is only as good as the provider behind it. Equipment, compliance, processing capability, service range, and experience are not secondary considerations. They are the factors that determine whether your investment produces data you can actually rely on.

Before signing any contract, ask hard questions. A provider confident in their capability will answer them clearly.

Considering a LiDAR Survey?

AB Surveying and Development offers end-to-end aerial LiDAR services — from flight operations and processing to GIS software and post-delivery technical orientation — for LGUs and private sector clients across the Philippines.

Contact the team to discuss your project requirements.