Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles
文献类型:期刊论文
作者 | Cao, Baojie1,2,3; Gao, Zhiqiang1,2![]() |
刊名 | ESTUARINE COASTAL AND SHELF SCIENCE
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出版日期 | 2023-03-05 |
卷号 | 282页码:10 |
关键词 | Digital elevation model Coastal zone Topography Bathymetry Unoccupied surface vehicle Unoccupied aerial vehicle |
ISSN号 | 0272-7714 |
DOI | 10.1016/j.ecss.2023.108229 |
通讯作者 | Shang, Weitao(wtshang@yic.ac.cn) |
英文摘要 | Seamless bathymetric and topographic digital elevation models (SBT-DEM) of coastal zones are important for modeling tsunami propagation and coastal inundation, monitoring coastal erosion and deposition, and modeling hydrodynamics and sediment transport. Fine-scale SBT-DEM construction has been elusive due to the difficulty of accurately measuring shallow water depths with conventional techniques. We attempt to perform coastal bathymetric and topographic surveys using an SBES-equipped unoccupied surface vehicle (USV) and a LiDARequipped unoccupied aerial vehicle (UAV), and construct a fine-scale SBT-DEM using GIS (Geographic Information System) techniques. The results show that the proposed spatiotemporal divisional measurement method can seamlessly collect coastal topographic and bathymetric data using tidal range. The improved Blend mosaic algorithm not only seamlessly and smoothly stitches the land and seabed DEMs, but also minimizes the loss of elevation accuracy. The fine-scale SBT-DEM constructed in this paper has the advantages of high resolution (Pixel size = 1 m) and high accuracy (RMSE = 6.2 cm). Fine-scale SBT-DEM can provide integrated topographic and bathymetric data for coastal dynamic monitoring and environmental management. |
WOS关键词 | LIDAR DATA ; SEDIMENT TRANSPORT ; UAV-LIDAR ; COASTAL ; BAY ; BATHYMETRY ; EVOLUTION ; EROSION ; IMAGERY |
WOS研究方向 | Marine & Freshwater Biology ; Oceanography |
语种 | 英语 |
WOS记录号 | WOS:001029239900001 |
资助机构 | Fundamental Research Projects of Science amp; Technology Innovation and development Plan in Yantai City ; NSFC fund project ; National Key R amp; D Program of China |
源URL | [http://ir.yic.ac.cn/handle/133337/36810] ![]() |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
通讯作者 | Shang, Weitao |
作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Beijing, Peoples R China 2.YICCAS, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Baojie,Gao, Zhiqiang,Shang, Weitao. Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles[J]. ESTUARINE COASTAL AND SHELF SCIENCE,2023,282:10. |
APA | Cao, Baojie,Gao, Zhiqiang,&Shang, Weitao.(2023).Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles.ESTUARINE COASTAL AND SHELF SCIENCE,282,10. |
MLA | Cao, Baojie,et al."Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles".ESTUARINE COASTAL AND SHELF SCIENCE 282(2023):10. |
入库方式: OAI收割
来源:烟台海岸带研究所
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