Page 17 - Spring 2025 Electron
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Industry News                                                                                Industry News
















 FIRST UK DRONE ASSURED   NEW GNSS REFLECTOMETRY


 NAVIGATION AND SAFETY   SYSTEM REVOLUTIONISES

 SYSTEM FOR RAILWAYS  ENVIRONMENTAL REMOTE SENSING












 Network Rail, in partnership with drone advisors   It is envisaged that the new system will lay the   Master of Science phD student Aukit Regmi of the   of floods and storms to improve preparedness and
 Drone Major Limited, is pioneering the UK’s first   foundations for a fully operational drone network for   University of Oulu (Finland) has developed an   response).
 drone assured navigation and safety system for   monitoring and maintaining Britain’s 20,000 miles of   innovative approach to environmental remote
                                                                Reference: Regmi, A., ‘Dual Circularly Polarised GNSS-Reflectometry
 railways.  railway tracks and infrastructure.  sensing that utilises the reflection of Global   for Remote Sensing of Land and Sea Surfaces’, University of Oulu,
          Navigation Satellite System (GNSS) signals from the   19th. March
 Existing response processes will by drones operating   Robert Garbett, Founder and Chief Executive of Drone
          Earth’s surface.
 beyond the visual line of sight using an advanced   Major Limited, states:
 ‘Digital Tethering’ concept that assures the safety   The research employs a cost-effective GNSS
 “ Drones represent enormous opportunities
 of the drones’ flight behaviour and reduces risks to   reflectometry system (GNSS-R), which uses a
 across a huge number of industries. Network Rail’s
 those on the ground.  specially designed antenna and commercial GNSS
 initiative as a ‘first mover’ in trialling our Digital
          receivers to record both direct and reflected GNSS
 The Digital Tethering system, first tested on the   Tethering concept sets an example worldwide. In
          signals, enabling the determination of reflective
 Severn Valley Railway, employs a navigation solution   the UK it presents an opportunity to fully modernise
          surface properties by means of signal-to-noise ratio.
 that incorporates artificial perception and highly   our rail infrastructure, deliver a faster, safer, more
 accurate ground-based beacons, enabling reliable   effective and efficient service for customers and   GNSS-R measurements examine surface properties
 autonomous navigation providing real-time and   ultimately drive growth for the whole of the UK. “  across different seasons and conditions. Sea ice
 precise positioning of the drones, particularly in areas   thickness, for example, is estimated by observing the
 Reference: West, P., ‘Network Rail trials first-of-its-kind Drone
 where GPS/GNSS signals are unstable or inaccessible.   Navigation and Safety System’, Electronic Specifier, 31st. March  total height difference between GNSS interferometric
 It has been specifically designed to improve safety   reflectometry results and sea level data from the
 and increase the efficiency of UAS operations during   Finnish Meteorological Institute. Changes in the GNSS
 railway monitoring and inspection tasks.  signal passing through multi-layer ice are observed
          in the reflected GNSS parameter enabling ice
          thickness measurement.
          The relative permittivity of the open sea and land is
          measured by utilising the change in electromagnetic
          wave polarisation of reflected GNSS signals. The
          practicality of direct measurements with the GNSS-R
          system is tested using a drone in various remote
          sensing scenarios.

          Potential applications envisaged for the system
          include climate change monitoring (provision of
          timely data on the impacts of climate change, such
          as sea level rise and ice melt), agriculture (measuring
          soil moisture to help farmers optimise irrigation
          and improve crop yields), maritime navigation
          (monitoring sea level and ice thickness to improve
          maritime safety and route planning), and natural
          disaster management (predicting and monitoring



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