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.
- Standard Committee
- COM/AerCom-SC - Unmanned Aerial Vehicles Communications Standards Committee
- Status
- Active PAR
- PAR Approval
- 2021-09-23
Working Group Details
- Society
- IEEE Communications Society
- Standard Committee
- COM/AerCom-SC - Unmanned Aerial Vehicles Communications Standards Committee
- Working Group
-
RSO - 1937.6 Unmanned Aerial Vehicle (UAV) Light Detection and Ranging (LiDAR) Remote Sensing Operation
- IEEE Program Manager
- Jennifer Santulli
Contact Jennifer Santulli - Working Group Chair
- Xionggang Li
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