为弥补传统人工复核退圩还湖进度时空分辨率低、耗时长的缺点,利用无人机搭载高精度激光雷达对平旺湖退圩还湖实施效果进行监测.基于获取的激光点云数据,采用工作流的技术方法,建立平旺湖 DEM 和 DSM 及坡度精细化模型,实现退圩还湖区域内排泥场和成湖区空间信息的特征提取.采用同期 GPS 现场测量成果和高分遥感影像分别对高程、面积进行精度验证,结果显示:激光雷达高程总体中误差为 0.023 m,其中岸线高程提取精度略低于水面,提取的面积与高分影像人工目视解译结果对比精度达 99.3%,且更加接近退圩还湖实施方案的要求,表明无人机机载激光雷达技术可有效运用于退圩还湖工程的动态监测,为掌握工程实施效果、科学调整工程进度提供技术支撑.
Monitoring implementation effects of returning reclaimed land to lakes using drone-borne LiDAR technology
To address the shortcomings of traditional manual verification of the progress in returning reclaimed land to lakes,particularly its low temporal and spatial resolution and lengthy duration,this study employed a drone equipped with high-precision LiDAR to monitor the implementation effects of returning land to Pingwang Lake.Utilizing the acquired LiDAR point cloud data,a workflow-based technical approach was adopted to establish detailed digital elevation models(DEM)and digital surface models(DSM)for Pingwang Lake,enabling the extraction of spatial information features related to the sedimentation areas and lake zones.Accuracy validation of elevation and area measurements was performed using concurrent GPS field survey data and high-resolution remote sensing imagery.Results indicate that the overall mean error of LiDAR-derived elevation measurements was 0.023 m,with extraction accuracy for shoreline elevations slightly lower than that for the water surface.The area extracted from LiDAR data showed a comparison accuracy of 99.3%against the visually interpreted results from high-resolution imagery,aligning closely with the requirements of the reclamation and lake return implementation plan.These findings demonstrate that drone-borne LiDAR technology can effectively be used for dynamic monitoring in projects involving the return of reclaimed land to lakes,providing technical support for assessing project implementation effects and scientifically adjusting project timelines.
droneairborne LiDARLiDAR point cloudreturning reclaimed land to lakesimplementation effectsdigital elevation model
万方数据
维普
