SeaBee Drone Giveaway Extended

Recreate the SeaBee logo or name in the Great Norwegian Outdoors, take pictures and post them on Twitter, tagging @SeaBeeNorway #SeaBeeGiveAway for the chance of winning your very own “sea bee” drone.

About the giveaway

Rediscover Norway’s nature this summer! To kick off the SeaBee project, we’re giving away a DJI Mavic Mini drone to one lucky winner.

Recreate the SeaBee logo or name in the Great Norwegian Outdoors, take pictures and post them on Twitter, tagging @SeaBeeNorway #SeaBeeGiveAway for the chance of winning your very own “sea bee” drone.

See T&C below

Terms & Conditions:

No purchase necessary, open to Norwegian residents only. You must provide SeaBee with a valid Norwegian address if declared a winner. Prize is a DJI Mavic Mini 2. Employees of SeaBee, sponsors, and immediate family members are not eligible to participate. Both individuals and groups are welcome to participate. By posting and tagging @SeaBeeNorway #SeaBeeGiveAway you consent to the use and sharing of your image on SeaBee’s website, social media, and other materials. All images will be cited and credited to their original post. Deadline 31 December 2020.

Winner will be chosen by the SeaBee team!

Mammals

Estimate seal population size and distribution, testing drone-based biometric measures incl. biomass, going from VLOS to EVLOS and BVLOS operations.

More information to come.

Seabirds

Estimate breeding seabird population sizes, distribution and dynamics, compare with existing seabird monitoring programs, including the national SEAPOP program.

More information to come.

Coastal Habitat Mapping

Develop protocol for mapping benthic habitats in the beach zone, subsurface vegetation (such as seagrass, seaweed, and kelp), seafloor substrate types and other management relevant species as blue mussels, the invasive Pacific oyster, and opportunistic turf algae.

More information to come.

Detection of microplastic on beaches using drones and object- based image analysis

Detection of microplastic on beaches using drones and object- based image analysis

New Report

This pilot study demonstrates UAV-based image collection being a promising technology for plastic detection in beach zones and we recommend object-based image analysis and UAV-based data collection being further developed for marine litter detection.
Objects of plastic at sizes down to 3.5 x 3.5 cm were segmented and classified successfully corresponding to approximately 4 times the pixel width of the classified images. Overall conclusions should be approached with some caution, due to the relatively few ground truth data points (13-37 geolocated plastic pieces) and their different characteristics regarding color and size.

 

First Large SeaBee Drone Arrives at NIVA

The first of the «large» SeaBee drones has arrived at NIVA! This marks an important milestone, placing SeaBee one step closer to field work and developing its infrastructure capabilities. The drone is a DJI M210, with a micasense Altum (5band MS) and 42mp RGB. We’re excited for all the possibilities and applications this drone will bring!

Water Quality

Develop applications for surface water monitoring based on ‘ocean color’ theory, derive data on light attenuation, ocean darkening, phytoplankton biomass, and harmful algalblooms. NorSOOP ship-of-opportunity data, traditional field measurements, and satellite remote sensing (Copernicus Sentinel 2 & 3) will be included for validation.

More information to come.