Common Mistakes When Using LiDAR in Surveying 

LiDAR has transformed modern surveying. From large-scale topographic mapping to detailed asset inspections, it delivers speed, precision and rich datasets that traditional methods simply can’t match. But as powerful as the technology is, it’s not immune to user error. 

In fact, many of the issues surveyors encounter with LiDAR projects don’t stem from the hardware itself — they stem from planning oversights, workflow gaps, or misinterpretation of data. Whether you’re new to laser scanning or refining your processes with support from providers like LiDAR Solutions, understanding these common mistakes can save time, money and reputation. 

Here are the most frequent pitfalls — and how to avoid them. 

Poor Project Planning and Scope Definition 

One of the biggest mistakes in LiDAR surveying happens before the first scan is even taken. Failing to clearly define: 

• Required accuracy tolerances 

• Deliverables (point cloud, DSM, DTM, contours, BIM model, etc.) 

• Environmental constraints 

• Site access limitations 

…can result in collecting either too much data (wasting resources) or insufficient data (requiring costly re-scans). 

Best practice: Always match the sensor capability, flight parameters (for aerial LiDAR), and ground control requirements to the project’s specific objectives. LiDAR is not a one-size-fits-all solution. 

Inadequate Ground Control 

LiDAR systems are precise — but they still rely heavily on proper calibration and georeferencing. Insufficient or poorly distributed ground control points (GCPs) can significantly degrade final accuracy. Common errors include: 

• Too few control points 

• Clustering control in one area only 

• Poorly surveyed control coordinates 

• Ignoring datum and projection inconsistencies 

This is particularly critical in engineering surveys where centimetre-level accuracy is required. 

Best practice: Ensure ground control is distributed evenly across the project area and verified against reliable coordinate systems. 

Ignoring Vegetation and Surface Conditions 

LiDAR can penetrate vegetation to some degree, but not all systems perform equally in dense canopy environments. Assuming the data will automatically “see through” heavy vegetation often leads to disappointment. Mistakes include: 

• Underestimating vegetation density 

• Flying at incorrect altitudes 

• Using insufficient point density 

• Failing to classify ground points properly during processing 

In bushland or rural Australian terrain, these challenges are particularly common. 

Best practice: Choose appropriate pulse rates and plan for higher point density in vegetated areas. Post-processing classification is just as important as data capture. 

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Overlooking Data Volume and Processing Requirements 

LiDAR generates enormous datasets. High-resolution scans can produce billions of points. Underestimating storage, computing power and processing time can stall projects. Survey teams sometimes: 

• Lack sufficient hardware 

• Fail to budget for processing time 

• Overlook software compatibility 

• Neglect proper data management protocols 

Raw LiDAR data is not immediately usable. It requires filtering, classification and modelling before becoming actionable. 

Best practice: Plan your data pipeline before fieldwork begins. Ensure your software and hardware can comfortably handle projected file sizes. 

Misinterpreting Point Cloud Data 

A point cloud is powerful — but only when interpreted correctly. Common misinterpretation errors include: 

• Confusing noise for features 

• Failing to properly classify ground, vegetation and structures 

• Assuming all returns are equally accurate 

• Overlooking shadowing and occlusion effects 

LiDAR data still requires professional judgement. Automated classification tools are helpful, but not infallible. 

Best practice: Combine automated workflows with experienced manual review. Quality control is essential. 

Inconsistent Calibration and Sensor Maintenance 

LiDAR systems, particularly mobile and UAV-based platforms, require regular calibration. Skipping calibration checks can introduce systematic errors that compound across large sites. Issues may include misalignment between IMU and GNSS, scanner drift, timing inconsistencies and mechanical vibration impacts. These errors may not be obvious until later analysis — when rectification is far more difficult. 

Best practice: Follow manufacturer calibration schedules and conduct regular validation checks. 

Choosing the Wrong LiDAR Platform 

Not all LiDAR systems are equal. Selecting between terrestrial, mobile, UAV or airborne LiDAR depends on terrain, coverage area and required resolution. A common mistake is using: 

• UAV LiDAR for extremely large corridors where fixed-wing airborne systems are more efficient 

• Terrestrial scanners for inaccessible or hazardous terrain 

• Low-density systems for engineering-grade deliverables 

The wrong platform can increase costs and reduce data quality. 

Best practice: Align platform choice with project scale, access conditions and accuracy requirements. 

Neglecting Regulatory and Safety Considerations 

In Australia, UAV LiDAR operations must comply with CASA regulations. Surveyors who overlook licensing, operational restrictions or airspace constraints risk legal and financial consequences. On top of this, ground-based LiDAR work often involves traffic, rail corridors or construction zones — environments requiring strict safety protocols. 

Best practice: Ensure all operators are appropriately certified and site risk assessments are completed prior to deployment. 

Failing to Communicate Deliverables Clearly to Clients 

Clients may not fully understand what LiDAR produces. Providing raw point clouds without explanation can lead to confusion. Misalignment often occurs around file formats, coordinate systems, accuracy expectations and/or the level of detail in models. 

Best practice: Set clear expectations upfront and provide structured outputs aligned to client requirements. 

LiDAR is one of the most transformative tools in modern surveying — but it rewards careful planning and disciplined workflows 

Most issues don’t arise from the technology itself, but from how it’s implemented. By avoiding common mistakes such as poor ground control, inadequate planning, misinterpreted data and insufficient processing capacity, surveyors can fully leverage the efficiency and precision LiDAR offers. 

When approached strategically, LiDAR doesn’t just collect data… it delivers clarity. 

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