Session
Poster Session 2
Location
Salt Palace Convention Center, Salt Lake City, UT
Abstract
Challenge:
Small satellite constellations in Low Earth Orbit (LEO) operate in an environment directly exposed to space weather while providing communications, remote sensing, positioning, and other critical services. Geomagnetic storms heat and expand the thermosphere, increasing neutral density, atmospheric drag, and orbital decay. These effects are especially hazardous during post-deployment and orbit-raising operations when satellites remain at low altitude with limited propulsion and recovery margins.
Operational Gap:
NOAA Space Weather Prediction Center products provide essential situational awareness, but satellite operators must still translate environmental forecasts into spacecraft-specific decisions. This translation can introduce operational delay particularly when protective actions must be coordinated across a large constellation.
Proposed Solution:
HELIO (Heliophysics Enhanced Learning for Intelligent Orbits) is an under development AI enabled decision intelligence layer designed to reduce the forecast-to-action latency by translating space weather forecasts into risk index classifications.
Document Type
Event
Paper
Included in
HELIO: AI Solar Weather Forecasting for Proactive Small Satellite Constellation Response
Salt Palace Convention Center, Salt Lake City, UT
Challenge:
Small satellite constellations in Low Earth Orbit (LEO) operate in an environment directly exposed to space weather while providing communications, remote sensing, positioning, and other critical services. Geomagnetic storms heat and expand the thermosphere, increasing neutral density, atmospheric drag, and orbital decay. These effects are especially hazardous during post-deployment and orbit-raising operations when satellites remain at low altitude with limited propulsion and recovery margins.
Operational Gap:
NOAA Space Weather Prediction Center products provide essential situational awareness, but satellite operators must still translate environmental forecasts into spacecraft-specific decisions. This translation can introduce operational delay particularly when protective actions must be coordinated across a large constellation.
Proposed Solution:
HELIO (Heliophysics Enhanced Learning for Intelligent Orbits) is an under development AI enabled decision intelligence layer designed to reduce the forecast-to-action latency by translating space weather forecasts into risk index classifications.
