首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >RIVER MORPHOLOGY MONITORING OF A SMALL-SCALE ALPINE RIVERBED USING DRONE PHOTOGRAMMETRY AND LIDAR
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RIVER MORPHOLOGY MONITORING OF A SMALL-SCALE ALPINE RIVERBED USING DRONE PHOTOGRAMMETRY AND LIDAR

机译:使用寄生虫摄影测量和激光雷达的小型高山河床的河流形态监测

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An efficient alternative to labour-intensive terrestrial and costly airborne surveys is the use of small, inexpensive Unmanned Aerial Vehicles (UAVs) or Remotely Piloted Aerial Systems (RPAS). These low-altitude remote sensing platforms, commonly known as drones, can carry lightweight optical and LiDAR sensors. Even though UAV systems still have limited endurance, they can provide a flexible and relatively inexpensive monitoring solution for a limited area of interest. This study investigated the applicability of monitoring the morphology of a frequently changing glacial stream using high-resolution topographic surface models derived from low-altitude UAV-based photogrammetry and LiDAR. An understanding of river-channel morphology and its response to anthropogenic and natural disturbances is imperative for effective watershed management and conservation. We focus on the data acquisition, processing workflow and highlight identified challenges and shortcomings. Additionally, we demonstrate how LiDAR data acquisition simulations can help decide which laser scanning approach to use and help optimise data collection to ensure full coverage with desired level of detail. Lastly, we showcase a case study of 3D surface change analysis in an alpine stream environment with UAV-based photogrammetry. The datasets used in this study were collected as part of the ISPRS Summer School of Alpine Research, which will continue to add new data layers on a biyearly basis. This growing data repository is freely available for research.
机译:有效的替代劳动密集型地面和昂贵的机载调查是使用小型,廉价的无人驾驶飞行器(无人机)或远程试点的空中系统(RPA)。这些低空遥感平台,通常称为无人机,可以携带轻质光学和激光雷达传感器。尽管UAV系统仍然存在有限的耐力,但它们可以为有限的感兴趣区域提供灵活且相对便宜的监控解决方案。本研究研究了使用从基于低海拔UV基摄影测量和LIDAR的高分辨率地形表面模型来监测经常变化的冰川流的形态。对河流通道形态的理解及其对人为和自然紊乱的反应对于有效的流域管理和保护是必不可少的。我们专注于数据采集,处理工作流程,并突出显示挑战和缺点。此外,我们展示了LIDAR数据采集模拟如何帮助决定使用的激光扫描方法,并帮助优化数据收集,以确保具有所需的详细程度的完全覆盖。最后,我们展示了通过基于UAV的摄影测量的高山流环境中的3D表面变化分析案例研究。本研究中使用的数据集作为ISPRS暑期研究院的一部分收集,这将继续在比赛中添加新的数据层。这种越来越多的数据存储库可自由用于研究。

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