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IEEE P1937.6

IEEE Approved Draft Standard for Unmanned Aerial Vehicle (UAV) Light Detection and Ranging (LiDAR) Remote Sensing Operation

Fecha edición: 2026-05-13
En Vigor
Idiomas disponibles: Inglés
Keywords: data management|flight path planning|LiDAR|light detection and ranging|point cloud data|processing methodologies|remote sensing|UAV|unmanned aerial vehicle
Scope: 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.
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