Cadastral Surveying in No-Fly Zones With Handheld SLAM Scanner: Lixel L2 Pro Case Study

Case Studies2025.10.284 min read

Using the XGRIDS Lixel L2 Pro, a surveying team completed real-time measurement of a 0.2 km² no-fly zone in 15 minutes, achieving true-color point cloud data with 3cm absolute accuracy. The workflow reduced project time by 80% and increased efficiency threefold, demonstrating a viable alternative to drone-based surveying.

Background & Challenge

The Problem:

Cadastral surveys—which measure buildings, property boundaries, and land features—often rely on drone technology for speed and coverage. However, restricted airspace, densely populated areas, and safety concerns create zones where drone operations require special clearance or are prohibited.

Drone Method Limitations:

High operational costs
Poor GNSS signal reception in built-up areas
Significant measurement errors due to obstructions
Limited output format flexibility

The Need:

A ground-based solution that matches or exceeds drone efficiency while remaining compliant with airspace restrictions.

Methodology

Survey Parameters

Location: Airport perimeter zone
Area: ~0.2 km²
Environment: Dense cadastral features

Satellite view of the 0.2 square kilometer no-fly survey zone with a marked boundary and measured distances

Equipment: XGRIDS Lixel L2 Pro

Technical Specifications:

Sensors: LiDAR, dual 48MP cameras, IMU, AI processing
Range: 300m maximum
Weight: 1.9 kg
Accuracy: 3cm absolute, 1cm relative
Point cloud density: 5mm thickness
Output: Real-time georeferenced point clouds

Key Advantages:

Lightweight, handheld form factor
Intuitive operation with minimal training
Photorealistic color capture with dual 48MP cameras
Stable performance in GNSS-denied environments (tunnels, interiors, underground structures)
Sharp edge preservation without distortion

Workflow

1. Pre-Survey Planning

Zone Division Strategy

Partition survey area into manageable segments
Maintain scanning duration under optimal thresholds to control accuracy degradation
Plan checkpoint placement at regular intervals

Route Planning

Design path to ensure complete coverage without gaps
Minimize redundant scanning to prevent point cloud thickness buildup
Identify areas requiring multiple passes (complex geometry, occlusions)

2. Data Collection

Device Setup

Position Lixel L2 Pro at designated checkpoint
Connect via LixelGO mobile app (iOS/Android)
Power on device and allow sensor initialization
Monitor system self-test completion:

LiDAR calibration
Camera synchronization
IMU stabilization
GNSS signal acquisition (if available)

Scanning

Scan along the planned route at consistent walking speed
LixelGO app provides real-time feedback including:

1. Point cloud preview

2. Trajectory visualization

3. SLAM mapping confidence indicators

Mark control points during scanning when encountered
L2 Pro automatically logs dual 48MP camera imagery synchronized with LiDAR data

Field Quality Control

Monitor scan quality indicators in LixelGO app
Verify adequate point density in feature-rich areas
Rescan sections if tracking loss detected

3. Data Processing

Raw data collected by the Lixel L2 Pro were imported into LixelStudio for noise reduction, point cloud alignment, and colorization. While the RCP (ReCap Project) export feature was not utilized in this case, LixelStudio does support exporting point clouds in RCP format for direct integration into CAD and BIM applications such as AutoCAD and Revit.

Subsequent cadastral mapping was completed in SummitMap, following three main steps:

The point cloud was vertically projected and sliced by cadastral boundaries for detailed feature digitization.

Open Mylas2 Data
Display Point Cloud Data in SummitMap:
True-color point cloud of the entire village captured with the handheld Lixel L2 Pro in a drone-restricted area

Accuracy Validation: Corner points with distinct features were surveyed using total station measurements as verification checkpoints. Comparison analysis confirmed that point cloud data collected with the Lixel L2 Pro achieved an accuracy within 5 cm.

2. Collected houses using edge sampling lines.

Draw House Display:

Point cloud of a single house with a bounding box used to extract building footprints via edge sampling

Point cloud of a brick house marked with a control cross for cadastral boundary digitization

Draw Fence Display:

Close-up point cloud of a fence and paved yard used to draw precise cadastral features

3. Export the drawn vector data to DWG format.

Results Displayed in CAD:

CAD line drawing of reconstructed building footprints across the surveyed village

Annotated CAD cadastral map with building areas and boundaries exported to DWG

The resulting drawings clearly illustrate the reconstructed building footprints and cadastral boundaries. Distinct layers and color codes were used to differentiate cadastral elements, enabling clear spatial relationships and accurate land–building integration.

The project accurately reconstructed cadastral features, validating the Lixel L2Pro's capability to produce survey-grade outputs.

Conclusion

The Lixel L2 Pro provides an effective ground-based solution for cadastral surveying in restricted airspaces. The system delivers rapid, high-precision, photorealistic outputs while ensuring regulatory compliance. Compared to traditional surveying methods, it reduces costs and lowers technical skill requirements, making it a practical standard for cadastral projects in no-fly zones and similarly constrained environments.