Analysts manually digitized water boundaries in every image. AI now automates mapping to forecast floods in real time.
A nonprofit research organization partners with the U.S. Geological Survey to support water monitoring systems that forecast floods and droughts across the United States.
Analysts previously relied on a labor-intensive manual approach to digitize water boundaries in every image, creating a critical bottleneck for...
“Meta’s Segment Anything Model (SAM) was used to automate a key part of the overall workflow that our USGS colleagues have described as the main bottleneck for real-time image analysis that previously was done with a labor-intensive manual approach to digitize water boundaries in each image, which is critical for rapid response use cases and scaling solutions nationally and beyond.”
Space and aeronautics research organization advancing science and STEM education.
Developed a fine-tuned version of SAM 2 to help USGS identify water in drone and satellite imagery.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Drowning in 80,000 monthly alerts, analysts struggled to secure data. AI now prioritizes threats, cutting response time by 99%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.