For a variety of reasons, the usage of LiDAR data processing has exploded in recent years. Lidar technology aided in obtaining higher-quality data than previous low-cost photogrammetric approaches. As a result, automatically gathering measurements in a dense manner, has resulted in a significant accomplishment. The advancement of laser scanning gear has been astounding. For quite some time, 3D Pointshot has been at the forefront of LiDAR data processing services. Our LiDAR data processing services have been entrusted with prestigious and challenging infrastructure modeling projects in a variety of locations.
Point cloud data, a type of 3D surface representation, is often created via airborne or terrestrial laser scanning, also known as Light Detection and Ranging (LiDAR). The data is generated as sets of highly dense (x, y, z) points or in a more common binary format known as LAS, which can include various return values and point intensities. Many top GIS processing software tools now enable and accommodate basic and sophisticated LiDAR data processing and analysis. LiDAR is developing as one of the most cost-effective and precise data collection methods for managing major assets like railway stations and other public/private infrastructure.
We do accurate fast surveys over huge geographical regions and transmit results promptly. Airborne LiDAR surveys and aerial laser scanning surveys are carried out by our specialists. We also have an in-house data processing team with years of expertise. We provide a variety of LiDAR systems for conducting wide-area surveys in mines, forests, and cities.
Pointshot offers a variety of LiDAR data processing services, including the creation of Digital Elevation Models (DEM), Digital Terrain Models(DTM), and Triangulated Irregular Networks (TIN), which give highly accurate information of the Earth's surface.
3D Pointshot LiDAR data processing services have aided worldwide companies in making smart business decisions. LiDAR data processing services help the electrical utility sector to plan and maintain electric networks more efficiently. LiDAR classification also helps the agriculture industry by identifying watersheds and mapping crop evaluation using LiDAR point cloud data. As a result, LiDAR categorization and data processing help numerous industrial sectors plan and make educated decisions.