The webinar on 1/25 at noon ET will overview the initial results of a prototype machine learning algorithm being developed to predict the probability of high cross-currents near Port of Miami. Click here to reserve your spot.
During the cruise, scientists took nutrient and Red Tide (Karina brevis) water samples from 10 locations, conducted 7 CTD (Conductivity, Temperature, and Depth) sensor casts, and deployed bottom mounted sensor packages. The team also deployed one surface drifter for circulation model verification. Five research training dives, including night dives, were completed so that new scientific divers are trained and ready to work in the field.
A new project will use Unmanned Aerial Vehicle imagery, satellite imagery, and machine learning methods to develop a more accurate and georeferenced 3D flood extent model. Emergency Managers will be able to identify locations where emergency services are most critical just after a flood event.