Recently, Geosun successfully passed expert acceptance of the 3D Laser Scanning Measurement System Project at the Institute of Disaster Prevention Technology. At the acceptance site, experts highly praised the performance of Geoson's GS-1500N long range LiDAR scanning system, especially acknowledging the user-friendliness of the PointCreater point cloud processing software, particularly its one-click calculation feature.
Project Introduction
▲ GS-1500N
The GS-1500N is an autonomously developed LiDAR scanning system by Geosun, designed to be compatible with mainstream unmanned aerial vehicles (UAVs). It can quickly acquire high-precision laser point cloud data, boasting features such as simplicity of application, high integration, and cost-effectiveness. The GS-1500N equipment purchased by the Institute of Disaster Prevention Technology is primarily used for geological disaster applications.
In geological disasters, the GS-1500N is utilized for pre-disaster warning, emergency response during disasters, and post-disaster assessment. By conducting multiple scans and three-dimensional modeling of the target area through the laser scanning system, comparisons of scan results can be made to analyze trends in geological surface changes and predict disasters. During disasters, the unmanned aerial vehicle laser scanning system can rapidly create models, providing real-time descriptions of disaster dynamics and developments for reference by disaster response departments, ultimately reducing disaster losses. Post-disaster, three-dimensional modeling can be employed to assess disaster losses, providing foundational data for disaster reconstruction efforts.
Acceptance Process
▲Acceptance Inspection of Fieldwork Site
The project acceptance process involves a series of rigorous evaluations to ensure that the functionality and performance of GS-1500N 3D laser scanning measurement system meet the expected standards. The acceptance team is composed of experts from the Institute of Disaster Prevention Science and Technology, who conduct comprehensive reviews and testing of the project's hardware, software, data resources, and so on.
Highlights
Using airborne LiDAR technology for "air-to-ground" observations, high-precision LiDAR point cloud data is obtained through this technique. Large-scale digital terrain models are created, allowing for the quantitative extraction of detailed terrain parameters such as surface roughness, slope, aspect, and other geomorphological features. For typical geological hazard bodies within the area, fine scanning is conducted to rapidly acquire detailed characteristic information such as micro-terrain features.
▲ Institute of Disaster Prevention Technology
The GS-1500N, through surface scanning flights, can simultaneously capture high-precision, high-density point cloud data and high-quality images. It features fast scanning, long range measurement, and high accuracy.
▲ Colorized Point Cloud of Surveyed Area
▲ Ground Points in the Surveyed Area
▲ DTM of the Surveyed Area
Moreover, the laser beams of LiDAR can penetrate through the gaps in foliage to acquire true three-dimensional surface data, effectively conducting a "CT scan" of the mountain terrain. By filtering out ground vegetation, real three-dimensional terrain can be obtained, allowing geological experts to interpret geological hazards. This method effectively addresses challenges in investigating and identifying hidden geological hazard points in high-altitude, remote, and concealed areas, common in disaster zones.
▲ Disaster Interpretation
Therefore, the role of LiDAR technology in the early identification of geological hazards is increasingly prominent and has been vigorously promoted by various levels of management departments and industry experts. On the other hand, LiDAR can also be used for precise measurements of buildings themselves, generating high-precision three-dimensional models. This provides important foundations for investigating and evaluating building damage, land use planning, urban three-dimensional modeling, and other applications.
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