SECOORA is funding a network of low-cost water level sensors across the southeast to develop the next generation of coastal observing systems at the scale where people live and make decisions.
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.
Currituck County (North Carolina) will be one of the first U.S. coastal communities to install web cameras as part of the SECOORA led program, WebCOOS.
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.
Jonathan will present preliminary results from a study investigating how temperature drives Spotted Seatrout space use within Florida Bay on October 26 at 12 PM ET. Click here to reserve your spot.
These investments are in coordination with over 22 partner organizations in the Southeast from academia, the private sector, federal and state government partners.
