Akademik Veri Yönetim Sistemi
Journal of Applied Remote Sensing, cilt.19, sa.1, ss.145131-1451321, 2025 (Hakemli Dergi)
Laser image detection and ranging (LiDAR) data are used as an important source for monitoring the natural environment and environmental changes, forest management, transport, and urban development. Real-time LiDAR is especially useful in applications that require immediate feedback or decision-making, such as post-earthquake emergency analysis, autonomous vehicles, precision agriculture, military applications, and infrastructure monitoring. For instance, rapid and real-time assessment of structural damage following disasters like earthquakes ensures the effective use of resources by directing first responders to priority areas. We focused on minimizing the time losses in pre-flight preparation and post-flight data processing processes at the low-altitude LiDAR mapping. To eliminate time losses, LiDAR data, which can be accessed via a web browser, were visualized as a real-time 3D point cloud. The X3D file format was used in this visualization process. To realize the accessibility and sharing of the data, HTML5 technologies were used, and the data were transferred to the cloud system in real time. Thus, a user-friendly system was developed that can make these data available to researchers simultaneously. We designed and developed a platform-independent web-based real-time LiDAR (WebRT-LiDAR) mapping system. As an application, the performance of the WebRT-LiDAR mapping system was evaluated by integrating it into a drone (low-altitude Unmanned Aerial Vehicle) platform. The data received with this system can be stored in databases suitable for the use of artificial intelligence and machine learning–based systems. In this way, the system provides information, predictions, and capabilities that can be used in situations that require instant feedback or decision-making. In this context, the performance of the WebRT-LiDAR system can be further improved and tested in different scenarios, such as disaster management, war strategy, and efficient agriculture in future studies.