Neural network GOFLOW uses satellite thermal images to map ocean surface currents hourly
A neural network trained to recognise how patterns in sea-surface temperatures change due to underlying currents will help scientists to better study how the ocean takes up heat and carbon…
Read the full articleYou might also wanna read
AI Meets the Ocean: A New Wave in Plankton Monitoring
AI's role in ocean research is evolving with new models addressing the challenges of dynamic environments. A novel framework offers hope for
Towards Quasi-global Gap-free Ocean Wind Speed Mapping Enabled by Rapid-Sampling GNSS Reflectometry Satellites
Accurate and continuous global ocean wind data are crucial for understanding weather and climate patterns. However, gaps in observations oft
Econometric modeling of ocean eddy kinetic energy and Atlantic Meridional Overturning Circulation transport with implications for Sustainable Development Goal 14
Econometric modeling of ocean eddy kinetic energy and Atlantic Meridional Overturning Circulation transport with implications for Sustainabl
Novel marine monitoring network could help improve environmental protections, shipping regulations
A single monitoring network developed by McGill, Natural Resources Canada, Université du Québec à Montréal (UQAM) and Dalhousie University r
SWOT Satellite Captures High-Resolution Images of Pacific Tsunami, Revealing Complex Wave Patterns
A rare SWOT satellite pass captured a Pacific-wide tsunami in high resolution, revealing complex wave patterns that challenge current tsunam
earth.com·7mo agoDeveloper Builds AI Tool to Verify Carbon Credit Claims Using Satellite Data
A developer has created CarbonSense, an AI-powered platform designed to improve transparency in carbon project monitoring. The tool combines
Comments
Sign in to join the conversation.
No comments yet. Be the first.