Abstract
Abstract. The aim of this study is to confirm the measurement accuracy and measurement characteristics of Green LiDAR Drone.In Japan, due to recent climate change, the frequency of heavy rainfall has been increasing, and more floods than estimated are occurring every year. Infrastructures that can safely drain the flood are river channel and river levee. Their role is becoming increasingly important. To reduce river disasters and manage disaster risk areas, river management administrations of Japan must understand the state of river channel and river levees. In order to fully identify risk area of disaster, it is considered using Green LiDAR Drone in Japanese river management. From these backgrounds, it is necessary to clarify the measurement accuracy and measurement characteristics of Green LiDAR Drone. Therefore, in this study, we confirmed the theoretical basic performance assumed from the device performance. Also, we conducted experimental measurements on flat ground area, river area, and coast area. Through verification of experimental measurements, we confirmed the positional accuracy, bathymetric capabilities of water area, and measurement characteristics of point cloud obtained by Green LiDAR Drone. As the result, it was confirmed the point cloud acquired by Green LiDAR Drone could understand not only the riverbed or coasts topography but also the structures of rivers and coasts, and could be used as basic information for maintenance and construction.
Highlights
In Japan, due to recent climate change, the frequency of heavy rainfall has been increasing, and more floods than estimated are occurring every year
It is possible to acquire high density point of several hundred points at 1m square. It is expected the high-density point cloud acquired by Green LiDAR Drone can capture topography and the shape of the river artificial structures and infrastructures
There are several existing studies that have validated the accuracy of lowdensity point cloud of a few points / m2 generated by Airborne Laser Bathymetry (ALB) or Green LiDAR profiler Drone (Mandlburger et al 2015) and (Mandlburger et al 2016)
Summary
In Japan, due to recent climate change, the frequency of heavy rainfall has been increasing, and more floods than estimated are occurring every year. After weeding the river levee, the topography and deformation of river channel and river levee are visually checked, and the length and depth are measured with a tape measure It is difficult for cross-section surveys to grasp the disaster risk between survey lines, and it is difficult for visual inspection to properly digitize and accumulate river shapes and conditions. Through verification of experimental measurements, we confirmed the positional accuracy, bathymetric capabilities of water area, and measurement characteristics of point cloud obtained by Green LiDAR Drone.
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