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LiDAR Analysis

LiDAR (Light Detection and Ranging) analysis is a geospatial technique that uses laser pulses to measure distances and create high-resolution 3D models of surfaces, such as terrain, buildings, and vegetation. It involves processing raw point cloud data to extract features, classify objects, and generate digital elevation models (DEMs) or digital surface models (DSMs). This technology is widely used in fields like surveying, forestry, urban planning, and autonomous vehicles for precise spatial mapping and analysis.

Also known as: Lidar, LIDAR, Light Detection and Ranging, Laser Scanning, Point Cloud Analysis
🧊Why learn LiDAR Analysis?

Developers should learn LiDAR analysis when working on projects requiring accurate 3D environmental modeling, such as autonomous driving systems, drone-based mapping, or geographic information systems (GIS). It is essential for applications in remote sensing, infrastructure monitoring, and environmental studies where detailed topographic data is needed to make informed decisions or enable machine perception.

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