UAP Independent Study Team Final Report

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NASA’s deep experience in researching and developing air traffic management
tools, together with its strong partnership with the FAA, will be pivotal to
designing future ATM systems to acquire UAP data. At present, surveillance
instruments are not designed to detect anomalous objects, and associated
metadata are often absent. NASA should begin by developing new concepts
and ideas for ATM systems, which enable these systems to assist in the effort
to better understand UAP.
NASA should leverage its expertise by reviewing and demonstrating passive
sensing techniques. NASA should also consider platforms that include new types
of data such as imaging data and even multispectral or hyperspectral data. In
turn, NASA could conduct research to see whether machine learning algorithms
could be incorporated into future ATM systems to detect and analyze UAP in
real-time. This research would represent a complex undertaking whose outcome
could allow for substantial and systematic gathering UAP data as well as a robust
characterization of the background. Once again, NASA’s experience and exper-
tise in these areas would allow it to provide critical assistance in identifying and
evaluating new safety systems.
What potential enhancements to future ATM development efforts can
be recommended to acquire data concerning future reported UAPs to
assist in the effort to better understand the nature and origin of the UAPs?
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FINDING
NASA’s strong partnership with
the FAA will be pivotal to designing
future air traffic management systems
to acquire UAP data.