Standardizing LiDAR Surveying Practices for Accurate and Consistent Data Collection: Colorizing Point Clouds

This paper discusses the importance of standardizing LiDAR surveying practices to ensure accurate and consistent data collection and analysis. Light Detection and Ranging (LiDAR) is a remote sensing technology that uses laser pulses to measure distances and create 3D maps of the environment. With the increasing use of LiDAR in various industries, it is crucial to establish standardized procedures for data collection, processing, and reporting. The paper reviews current practices and identifies key areas that require standardization, including data acquisition parameters, quality control. The benefits of standardization include improved data quality and coloring the point cloud which improves visual interpretation. The paper discusses a simplified software algorithm for merging the point cloud and the panoramic image, which uses open-source hardware and software which provides scope for further modification and improvement.