Infrasound is sound below about 20 hertz, which is generally below normal human hearing. Volcanoes, explosions, storms, avalanches, rockets, surf, and some industrial systems can all generate infrasonic waves, and those waves can often travel much farther through the atmosphere than ordinary audible sound.
How It Works
Because the wavelengths are long and attenuation can be relatively low, infrasound arrays can detect energetic events from far away. Analysts often use multiple sensors, timing differences, and beamforming to estimate where the signal came from and how it changed over time.
Why It Matters In AI
AI makes infrasound monitoring more useful by separating eruption signals from wind noise, classifying explosions versus continuous venting, pairing acoustic signals with seismic or gas data, and ranking the most relevant events for analyst review. That is why infrasound often overlaps with sensor fusion, anomaly detection, passive acoustic monitoring, and time series forecasting.
Where You See It
Infrasound is used in volcano observatories, nuclear-test monitoring, severe-weather analysis, avalanche and landslide detection, rocket launch tracking, and some environmental soundscape work where very low-frequency energy matters.
Related Yenra articles: Volcano Eruption Risk Assessment, Acoustic Engineering and Noise Reduction, Seismic Activity Prediction, and Disaster Response.
Related concepts: Beamforming, Passive Acoustic Monitoring, Sensor Fusion, Anomaly Detection, and Time Series Forecasting.