Radar Research, Results & Data to Decisions - R3D2

Lead Research Organisation: National Oceanography Centre
Department Name: Science and Technology

Abstract

The R3D2 project will develop advanced synthesised data products from what are currently research and development grade wave inversion outputs of remotely sensed water depth maps and currents.
Wave inversion methods have been developed at the NOC for over two decades and are now able to derive depth and current-vector maps over ranges up to 6km from both static (land based) radars, and more recently from moving vessels. Sequences of radar backscatter images are processed to extract wave lengths, periods and directions that are fitted to linear wave theory. Under ideal conditions, results match well with survey depths and currents measured by ADCP.
There is a developing demand by potential users for these capabilities to be available as a commercial service and the NOC have partnered with Marlan Maritime Ltd to deliver this. Under the operational conditions dictated by user needs, the requirement has been increasingly to attempt to operate under lower and lower wind and sea states and in areas in which the radar imaging mechanism struggles to detect adequate wave signatures as inputs to the algorithms. This has inevitably led to challenges determining when the algorithms are producing estimates of depth and currents that are consistent with reality - a situation that needs to be addressed if the user community is to continue adopting these disruptive methods.
Unpublished work at the NOC has previously shown that a range of quality and confidence measures combined with elements of machine learning help to stabilise and quality control time series of results as the algorithms 'learn' the characteristics of each site.

Publications

10 25 50
 
Description The award enabled NOC's wave inversion algorithms to be implemented on Marlan's systems that are used by a range of stakeholders for coastal monitoring.
First Year Of Impact 2021
Sector Aerospace, Defence and Marine,Environment
Impact Types Societal,Economic

 
Title Wave Inversion Coastal Water Depth and Current Vector Mapping 
Description Software applied to marine radar data to derive water depth maps and current vector maps based on observed wave dynamics. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2021 
Impact The licensing of this technology to Marlan Maritime Technologies Ltd and their associated company MM Sensors Ltd makes it available to the wider community in a scalable and affordable fashion for a wide range of coastal monitoring purposes. 
URL https://www.coastsense.com/