Space Debris Management
Strategies to address the threat posed by debris to satellites and spacecraft in Earth's orbit.
Artificial Intelligence (AI) and Machine Learning (ML)
Technologies that can transform the approach to space debris management.
Detection
AI algorithms analyze data to identify potential debris in space.
Tracking
ML models monitor debris movement with precision.
Prediction
AI predicts collisions and offers early warnings by analyzing patterns.
Automation
AI systems automate space debris monitoring and management.
Efficiency
ML algorithms streamline the identification and tracking of debris.
Accuracy
AI technologies provide precise predictions of debris trajectories and collision risks.
Fragmentation debris
Small pieces resulting from satellite collisions or explosions.
Non-functional spacecraft
Decommissioned satellites and rocket stages contribute to space debris.
Collision risk
The increasing debris raises the chances of collisions with operational spacecraft.
Tracking accuracy
Precise tracking of debris is crucial for collision avoidance maneuvers.
Debris removal
Developing effective methods to eliminate debris from orbit is a significant challenge.