Re-entry prediction is a specialized analytical capability within the realm of space situational awareness that involves forecasting the time and location of an object re-entering Earth's atmosphere from orbit. This capability is critical for assessing potential risks associated with uncontrolled re-entries, which can pose threats to both space assets and populated areas on the ground.
It relies on complex models and algorithms that incorporate various data sources such as satellite tracking information, atmospheric conditions, and the physical characteristics of the object. Accurate re-entry predictions are essential for timely decision-making and risk mitigation by space agencies, defense sectors, and commercial satellite operators.
Re-entry prediction matters because the uncertainty window for an uncontrolled re-entry can drive high-consequence operational decisions, from issuing public safety notifications to protecting in-orbit assets during heightened debris-risk periods. As atmospheric drag and object attitude evolve quickly, prediction accuracy depends on frequent, high-quality tracking updates and robust modelling to narrow the time and ground-track corridor.
Reliable forecasts support coordinated action across agencies and operators, reducing false alarms, avoiding late responses, and improving accountability for space sustainability.
Look Up supports re-entry prediction by detecting and tracking objects in LEO with SORASYS radars to deliver fresh observations that help reduce timing and location uncertainty. SYNAPSE fuses Look Up sensor data with external sources, maintains object records, and distributes alerts and updated predictions via API or interface, including secure on-premises deployment when required.
Together, these capabilities help operators and authorities coordinate responses, prioritize monitoring, and manage risk during uncontrolled re-entries.
We deliver space situational awareness (SSA) and space domain awareness (SDA) solutions that help secure active satellites and ensure safe operations in the ever-growing expanse of space.