  The overall aim of the Space Situational Awareness (SSA) Preparatory
Programme is to support the European independent utilisation of and access to
space for research or services, through providing timely and quality data,
information, services and knowledge regarding the environment, the threats and
the sustainable exploitation of the outer space surrounding our planet Earth.
The SSA system will comprise three main segments: Space Weather (SWE)
monitoring and forecast Near-Earth Objects (NEO) survey and follow-up Space
Surveillance and Tracking (SST) of man-made space objects. There already exist
different algorithms to predict orbits for NEOs. The objective of this activity
is to come up with a different trajectory prediction algorithm, which allows an
independent validation of the current algorithms within the SSA-NEO segment
(e.g. NEODyS, JPL Sentry System). The key objective of this activity was to
design, develop, test, verify, and validate trajectory prediction algorithm of
NEOs in order to be able to compute analytically and numerically the minimum
orbital intersection distances (MOIDs). The NEOPROP software consists of two
separate modules/tools: (i) the Analytical Module makes use of analytical
algorithms in order to rapidly assess the impact risk of a NEO. (ii) The
Numerical Module makes use of numerical algorithms in order to refine and to
better assess the impact probabilities.
