Discrimination of Sediment Type using Unmanned Aerial Vehicles (DST-UAV)

GSTDTAP

项目编号	NE/R014485/1
	Discrimination of Sediment Type using Unmanned Aerial Vehicles (DST-UAV)
	Dominic Reeve
主持机构	Swansea University
项目开始年	2018
	2018
项目结束日期	2018-09-30
资助机构	UK-NERC
项目类别	Research Grant
项目经费	63532(GBP)
国家	英国
语种	英语
英文摘要	Keywords: Remote sensing; unmanned aerial vehicles; sediment; intertidal; monitoring; This study will assess the feasibility of using unmanned aerial vehicles (UAVs) to measure sediment type such as sand and mud on beaches. Measurement of sediment type is vital to fully understand the environmental impact of coastal development. Industrial developments in the coastal zone may affect wave and tidal processes which can change the spatial coverage of sediment type. Each sediment type has varying properties which affect rates of erosion and deposition. Furthermore, different sediment types provide a diversity of ecological habitats and regulators must ensure that the coverages of different habitat do not change to an unacceptable amount. Planned tidal lagoon schemes have caused regulators, in particular Natural Resources Wales, to question which survey tools would be suitable to monitor such changes in high tidal range regions where lagoons are likely to be constructed. High tidal range regions have wide intertidal expanses (sometimes in excess of 1km cross-shore) which means direct measurement of sediment type is difficult; both due to health and safety considerations and time constraints. Existing remote sensing techniques require manned aircraft; are expensive; and thus are not suitable for repeat surveys. Repeat surveys are needed to assess change as the natural environment responds to changes in forcing conditions over time. More cost-effective tools are therefore required to improve frequency of measurements. UAVs represent a possible low-cost alternative. Different sensors will be tested: a standard camera, a multispectral camera and a thermal camera. Multispectral and thermal UAV based sensors have been applied to measurement of sediment properties in soil science but not to high tidal range intertidal regions. The sensors will be tested in Swansea Bay, the proposed location of the UK's first tidal lagoon. Methodologies to remotely sense intertidal sediment types using these sensors will be developed. The suitability and accuracy of the developed methodology will be evaluated. Evaluation will be made both at Swansea Bay and at a range of other test sites around the UK. The feasibility assessment will be based on the results of these trials and consideration of other limiting factors such as UAV flight regulations. This project is important for industrial developers, environmental regulators and for the survey consultancies who conduct assessments of sediment type. This work is particularly timely since new low cost tools to monitor changes to substrate type will provide impact by feeding into the adaptive environmental monitoring plan protocols for future lagoon developments. The tools demonstrated will also be of use to identify changes caused by other natural and anthropogenic factors. More frequent and higher spatial resolution datasets will enable greater understanding of the natural variability in substrate type and hence be of great interest to the academic community. For developers, the use of UAV remote sensing will facilitate significant survey cost reduction. The techniques developed will substantially improve the safety of current operations for survey consultants who currently undertake sediment type monitoring on foot. This can be unsafe due to the presence of mud around the lower intertidal which is difficult to walk over. The methodology will extend the area that consultancies are able to measure sediment type in, providing an improved service and increasing the value of their offer to new clients. The project partner group includes: Tidal Lagoon Power, a developer; Natural Resources Wales, a regulatory body; Natural England, an advisory body; and AG Surveys, a survey consultancy. Therefore, representatives of all interested parties in the use of UAVs for the purpose of sediment mapping are included in the group.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/86937
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Dominic Reeve.Discrimination of Sediment Type using Unmanned Aerial Vehicles (DST-UAV).2018.