How to visualize lidar data and what are the common data analysis techniques?

LiDAR data can be visualized using various techniques, including color mapping, point size, and transparency. Color mapping involves assigning colors to the points based on their height, intensity, or other attributes. Point size can be used to represent the density or importance of the points, while transparency can be used to reveal hidden details in the data.LiDAR data can be analyzed using various techniques, such as segmentation, classification, and feature extraction. Segmentation involves dividing the point cloud into meaningful segments, such as buildings, trees, and roads. Classification involves assigning labels to the segments based on their characteristics, such as vegetation, ground, or buildings. Feature extraction involves identifying and extracting specific features, such as the height of trees, the slope of terrain, or the curvature of surfaces.