LiDAR, which stands for Light Detection and Ranging, is a remote sensing technology that uses laser pulses to measure distances and create 3D representations of objects and surfaces. LiDAR data processing involves the analysis and manipulation of the large amounts of data collected by LiDAR systems to extract useful information.
The LiDAR data processing workflow typically includes several steps, such as data acquisition, pre-processing, filtering, classification, and visualization. During the preprocessing stage, the raw LiDAR data is cleaned and calibrated to remove noise and correct for any systematic errors.
The final step in LiDAR data processing is often visualization, which involves generating 3D models and maps from the processed LiDAR data. These models can be used for a variety of applications, such as urban planning, forestry management, and disaster response.
