Work Package 2 will facilitate up-to-date training of drone pilots, secure registration, and legislation, produce safe operation protocols and emergency manual procedures. This WP will ensure calibration and testing of drones and sensors as well as manage maintenance to secure operationready equipment at all times.
Work Package 2 will ensure that the SeaBee drone fleet is operational and efficient at all times, by training drone pilots, integrating sensors on drones, calibrating and testing equipment, and educating personnel for maintenance and repair. The SeaBee infrastructure will require both trained personnel and certified operational procedures to be efficient and safe. WP2 will ensure the needed certificates and registrations for RO 1, 2, and 3 pilots for VLOS (Visual Line Of Sight), EVLOS (Extended Visual Line Of Sight), and BLOS (Beyond Line Of Sight) flights – this will ensure SeaBee operations across a large range of demands from a few hundred meters of coastline towards 100 km action range. WP2 will ensure sensor integration, calibration, and testing, which is particularly challenging for hyperspectral imaging. Direct geo-referencing, using navigation sensors, is generally required for operations over open water, as constant visual features for photogrammetry and image stitching are lacking. High quality data will be ensured using a state-of-the-art calibration bench validated by ESA’s Fiducial Reference Measurements for Satellite Ocean Color (FRM4SOC), owned by NIVA. Technical workshops for drone maintenance and repair will ensure that the drones can be maintained and repaired at the geographical location in which they are stored. This will effectively reduce operational expenses and minimize operational risks. Documentation on repair procedures will also be supplied.
VLOS rotor drones, and VLOS/EVLOS/BVLOS fixed-wing drones, with areal coverage from few hundred ha to hundreds of km2, with either low (<1 kg) or high payload capacity (tens of kg). Customized solutions will ensure targeted operations covering horizontal and vertical terrains. Relevant models include DJI M200 and M600, Ebee Pro, and PX-31.
State-of-the-art sensors for radiance measures and imaging collection, including visual-light RGB cameras, and sensors for multispectral and hyperspectral imaging, thermal, near-infrared-red, and solar-induced fluorescence. Flexible solutions will ensure adaptation to the rapid developing technology in the field.
Accurate navigation (e.g. RTK GPS) and communication hardware for on board logging of image and metadata, and real-time viewing of image acquisition by ground control stations and drone operators.
High-performance computing hardware (CPU/GPU) for image pre- and post-processing including geo-referencing, automated quality control and data product generation will be rented from the national e-infrastructure UNINETT/Sigma2.
Custom solution software to handle the above in the processing pipeline will be installed in partner computer facilities.
Hardware platforms and cloud-based interface facilities for web-based data handling and sharing at UNINETT/Sigma2
NTNU is an internationally oriented university with headquarters in Trondheim and campuses in Gjøvik and Ålesund.
NTNU has a technical-natural sciences main profile, a number of professional education and a large academic breadth which also includes the humanities, social sciences, economics, medicine, health sciences, educational sciences, architecture, entrepreneurship, arts and artistic activities.
Tor Arne Johansen, NTNU