- Success Stories
- Environmental Resource Assessment & Management
Collecting and Studying Deep-Sea Coral
Three of our staff supporting NOAA’s National Centers for Coastal Ocean Science joined a team of nine other scientists on a 12 day expedition to collect deep-sea coral samples in the Gulf of Mexico. After completing 23 dives at 14 sites the team collected 36 live samples of coral, some of which have never previously been kept in an aquaria environment. The team also collected genetic samples, water samples for eDNA and aquaculture reference, and samples for microbiology and microscopy. The team transported the live coral samples to the Hollings Marine Laboratory in Charleston, South Carolina where they will be studied for genetics, population connectivity, reproduction, and other important information that help scientists understand and protect coral reefs.
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Advancing Severe Weather Predictions with Artificial Intelligence
As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly…
Training Marine Mammal Programs to Use Drones to Collect Dolphin and Whale Respiratory Health Data
CSS employee owner and Marine Mammal Drone Specialist supports NOAA’s National Centers for Coastal Ocean Science (NCCOS) Marine Mammal Health Assessment team with collecting respiratory health data from marine mammals in local waterways. Using specialized drones equipped with petri dishes provides a non-invasive method to collect exhaled breath (i.e. blow) samples from dolphins and whales.…
Evaluating the Use of Earth Observations Digital Twin Technologies
Earth Observations Digital Twin technologies are data analytics, artificial intelligence, and advanced modeling technologies that provide an estimate of the true state of the Earth. An Earth Systems Digital Twin is observations-based and grid-flexible with multiple components and high-resolution data over space and time to capture all available observations and feed a variety of direct…