Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles

doi:10.1016/j.ecss.2023.108229

	Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles
	Cao, Baojie 1,2,3; Gao, Zhiqiang1,2 ; Shang, Weitao 1,2
发表期刊	ESTUARINE COASTAL AND SHELF SCIENCE
ISSN	0272-7714
	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
DOI	10.1016/j.ecss.2023.108229
通讯作者	Shang, Weitao([email protected])
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.
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
收录类别	SCI
语种	英语
关键词[WOS]	LIDAR DATA ; SEDIMENT TRANSPORT ; UAV-LIDAR ; COASTAL ; BAY ; BATHYMETRY ; EVOLUTION ; EROSION ; IMAGERY
研究领域[WOS]	Marine & Freshwater Biology ; Oceanography
WOS记录号	WOS:001029239900001
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/36811
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
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.