IEEE P1937.6

New IEEE Standard - Active - Draft.
The operational methodologies and data management framework for unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) remote sensing applications are outlined by this document. A comprehensive infrastructure for helping to ensure the accuracy and reliability of LiDAR data collected by UAVs is provided by the framework. System architecture design, flight path planning, LiDAR point cloud data acquisition, data preprocessing, quality assurance protocols, and processing methodologies are included. Additionally, data storage formats, management systems, and security mechanisms to facilitate efficient data sharing and utilization are addressed by the framework. Technical design elements such as data collection preparation, calibration flights, and post-processing workflows are also detailed to help ensure robust implementation and optimal data outcomes.

This standard specifies the operational methods and data management for Unmanned Aerial Vehicle Light Detection and Ranging (LiDAR) remote sensing applications.