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Research on Estimating Water Storage of Small Lake Based on Unmanned Aerial Vehicle 3D Model
Water Resources ( IF 1 ) Pub Date : 2021-09-15 , DOI: 10.1134/s0097807821050109
Ping Duan 1 , Jia Li 1 , Mingguo Wang 2, 3 , Yayuan Lei 3
Affiliation  

Abstract

Lake Water storage can be estimated based on Lake Boundary and lakebed terrain. The boundary of a lake can be extracted from the remote sensing satellite image or the Unmanned Aerial Vehicle (UAV) orthophoto, but the information of the lake and its surroundings, which is supposed to be three-dimensional, is recorded in two dimensions in this way. When the tall and dense vegetation are projected on the lake, the extracted lake boundary from orthophoto would be smaller than reality, which results in lower value of the lake water storage. UAV oblique photogrammetry can solve this problem by recording multi-angle images of the lake and its surroundings. Based on aerial photogrammetry theory, a real 3D model of the lake can be constructed by combing UAV oblique photogrammetric images. The model can accurately present the actual scene of the lake, and the extracted lake boundary can be very close to reality. In this study, UAV and Unmanned Surface Boats (USB) have been employed to collect UAV oblique photogrammetric images and lakebed terrain data, respectively. The lake boundary has been extracted based on the UAV real 3D model. The Digital Elevation Model (DEM) of lakebed terrain has been built based on lakebed terrain data collected by USB. Finally, the water storage of the lake is estimated based on the boundary and DEM. Experiments show that a real 3D model based on UAV data can depict lake boundaries accurately, which could eliminate the impact of vegetation shied around the lake. Utilizing the UAV and USB can be a standard method for estimating the water storages of small lakes.



中文翻译:

基于无人机3D模型的小湖储水量估算研究

摘要

湖泊蓄水量可以根据湖泊边界和湖床地形进行估算。湖泊的边界可以从遥感卫星图像或无人机(UAV)正射影像中提取,但湖泊及其周围的信息,本应是三维的,在此以二维方式记录。道路。当高大茂密的植被被投影到湖面上时,正射影像提取的湖面边界会小于实际情况,导致湖面蓄水值偏低。无人机倾斜摄影测量可以通过记录湖泊及其周围环境的多角度图像来解决这个问题。基于航空摄影测量理论,结合无人机倾斜摄影测量图像,可以构建真实的湖泊3D模型。该模型可以准确呈现湖泊的实际场景,提取出的湖泊边界可以非常接近现实。在这项研究中,无人机和无人水面船(USB)分别用于收集无人机倾斜摄影测量图像和湖床地形数据。基于无人机真实3D模型提取了湖泊边界。基于USB采集的湖床地形数据,建立了湖床地形数字高程模型(DEM)。最后,根据边界和 DEM 估算湖泊的蓄水量。实验表明,基于无人机数据的真实3D模型可以准确描绘湖泊边界,可以消除湖泊周围植被遮挡的影响。利用无人机和 USB 可以成为估算小湖泊蓄水量的标准方法。无人机和无人水面艇 (USB) 已分别用于收集无人机倾斜摄影测量图像和湖床地形数据。基于无人机真实3D模型提取湖泊边界。基于USB采集的湖床地形数据,建立了湖床地形数字高程模型(DEM)。最后,根据边界和 DEM 估算湖泊的蓄水量。实验表明,基于无人机数据的真实3D模型可以准确描绘湖泊边界,可以消除湖泊周围植被遮挡的影响。利用无人机和 USB 可以成为估算小湖泊蓄水量的标准方法。无人机和无人水面艇 (USB) 已分别用于收集无人机倾斜摄影测量图像和湖床地形数据。基于无人机真实3D模型提取了湖泊边界。基于USB采集的湖床地形数据,建立了湖床地形数字高程模型(DEM)。最后,根据边界和 DEM 估算湖泊的蓄水量。实验表明,基于无人机数据的真实3D模型可以准确描绘湖泊边界,可以消除湖泊周围植被遮挡的影响。利用无人机和 USB 可以成为估算小湖泊蓄水量的标准方法。基于USB采集的湖床地形数据,建立了湖床地形数字高程模型(DEM)。最后,根据边界和 DEM 估算湖泊的蓄水量。实验表明,基于无人机数据的真实3D模型可以准确描绘湖泊边界,可以消除湖泊周围植被遮挡的影响。利用无人机和 USB 可以成为估算小湖泊蓄水量的标准方法。基于USB采集的湖床地形数据,建立了湖床地形数字高程模型(DEM)。最后,根据边界和 DEM 估算湖泊的蓄水量。实验表明,基于无人机数据的真实3D模型可以准确描绘湖泊边界,可以消除湖泊周围植被遮挡的影响。利用无人机和 USB 可以成为估算小湖泊蓄水量的标准方法。

更新日期:2021-09-15
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