LiDAR Classification and Data Processing for Industry Professionals

Creating DEM (Digital Elevation Model), DTM (Digital Terrain Model) and triangulated networks using LiDAR technology has been around for quite some time now and has helped a lot of industry professionals and engineers. Let us find out how?

LiDAR Classification and Data Processing for Industry Professionals

LiDAR data processing helps in a variety of industries with planning and making proper decisions. Primarily used in airborne user mapping applications, is emerging as a cost-effective alternative to traditional surveying techniques such as photogrammetry. If one works in a private organization, then he probably needs to use the most accurate terrain information for his decision-making. To meet this requirement, organizations often rely on LiDAR to create large-scale mapping applications.

LiDAR data services can range from a variety of industries and therefore the services are vast and can be extended too. Some of them include:

Airborne LiDAR Data Processing: Get accurate and inexpensive measurements of topography, vegetation heights, and buildings over large areas with LiDAR technology.

Bare Earth Extraction: Creating DEM and DTM using LiDAR technology. It is important in terms of terrain classification. Get highly accurate data as per your requirement.

3D Modeling: Capture real-world 3D models with LiDAR data technology. 3D models are being used predominantly for visualization.

Power line Classification and Vectorization: It is highly used in government projects and provides a solution for the electricity industry for the transmission and distribution of power lines.

3D Vectorization: 3D vectorization converts point cloud, raster or any other formats to vector data type to certain geometry such as lines and polygons.

Visualization of LiDAR Data

LiDAR data can be visualized in a number of ways:

Shaded relief images can reveal very subtle information, especially with highly detailed data.
Helpful for data validation and looking for anomalies and errors in data.
3-Dimensional, contour generations, and cross-sections.
Filtering Of LiDAR Data

Filtering is a process of automatic detection and interpretation of bare earth and objects from the point cloud, which results in the generation of a DTM (Digital Terrain Model).

Advantages Of LiDAR Data Processing:

Minimum Human Dependency: As most of the processes are automatic unlike photogrammetry, GPS, or land surveying.

Canopy Penetration: LiDAR pulses can reach beneath the canopy, thus generating measurements of points.

Higher Accuracy: LiDAR provides higher accuracy in any of your projects, giving you a much faster turnaround time.

Cost-Effective: Recent reports suggest that LiDAR data application is cheaper, particularly considering the speed, accuracy, and density of the data.

When LiDAR scans are completed, they process a large array of unprocessed information. It is recommended that you work with a company that offers cost-effective, accurate, and timely delivery of your project, and that also doesn’t split up the data processing and collection process. LiDAR sends out lasers and detects when the laser detects something. LiDAR data processing can be incredibly helpful in various industries and it’s just going to hike from where it is now.

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