Wallace, R.J., Terwilliger, B.A., Winter, S.R., Rice, S., Kiernan, K.M., Burgess, S.S., Anderson, C.L., De Abreau, A., Arboleda, G., & Gomez, L. (2022). Small Unmanned Aircraft Systems (sUAS) Traffic Analysis: Initial Annual Report [Grant No. A11L.UAS.91]. Alliance for System Safety Through Research Excellence (ASSURE), Federal Aviation Administration.
The ever-increasing number of Unmanned Autonomous Vehicles (UAV) within the national airspace creates a significant and growing risk to public safety. URSA’s Airspace Awareness Platform now gives everyone the critical insights needed to monitor UAV activity and create safety and security – both on the ground and in the sky.
URSA’s Airspace Awareness Platform (AAP) now provides everyone with easily accessible, objective insight into the who, what, where, when, why and how of drone behavior.
Initially used exclusively by the FAA, URSA’s AAP is now available to regulators, investigators, journalists, and manned aircraft operators.
Via URSA’s intuitive self- service platform, URSA consulting, and integration with numerous other platforms, users can now access a wide array of insights regarding UAV activity and behavior.
AAP turns terabytes of raw data – from a variety of sources – into intuitive visualizations and provides the data needed for comprehensive analysis of traffic, trends, regulatory compliance, and safety risks.
URSA’s NMAC replaces subjective assessments of near mid air collisions with objective data and reporting.
Currently pilots, while in flight, visually identify and evade conflicting sUAS and then report estimates of range, altitude, and other associated flight information – with few to no tools for measurement or examination.
URSA’s NMAC provides comprehensive, court admissible, NMAC data sets, graphic representations and analytical capabilities – all designed to ensure safety in the sky and on the ground.
Vendor agnostic, AAP-NMAC fuses UAV track data with manned aircraft track data to clearly identify and categorize close approaches and near midair collisions.
Identify and Classify sUAS-aircraft Encounters and Trends:
Land use, weather, time of day, and various GIS layers relating to critical infrastructure enable comprehensive incident analysis.
URSA’s NMAC analytics provides objective data, visualizations, and output that simplify the analysis and communication needed for decisions, action, and public conversation.
URSA simplifies the analysis and reporting process by providing key information that enables the rapid, accurate production of objective summaries.
"URSA allows us to break down problems individually and look at each component rather than just relying on evaluating data independently - we can see how it all interacts together."
"URSA provided a streamlined method of combining and analyzing multiple types of data from a variety of sources, enabling us to better understand potential safety implications of sUAS operations in low-altitude airspace."
"URSA’s work is groundbreaking"
"URSA provides the analytics that feeds an evidentiary chain that enables administrators to address issues. This information is absolutely necessary for safety in the national airspace and also for the protection of critical infrastructure."
The OpenSky Network is a non-profit association based in Switzerland. It aims at improving the security, reliability and efficiency of the air space usage by providing open access of real-world air traffic control data to the public. The OpenSky Network consists of a multitude of sensors connected to the Internet by volunteers, industrial supporters, and academic/governmental organizations.
Spire Global, Inc. (NYSE: SPIR) is a leading global provider of space-based data, analytics, and space services, offering access to unique datasets and powerful insights about Earth from Space so that organizations can make decisions with confidence, accuracy, and speed. Spire uses one of the world’s largest multi-purpose satellite constellations to source hard to acquire data and enriches it for the maritime, aviation, and weather industries.
Airguard is a leading airspace security software for drone detection. The AirGuard platform arms your team with real-time airspace security against rogue drones providing visibility and integration with existing security systems. AirGuard is a layered open platform software that integrates with electronic drone-detection technologies like radio Frequency (RF) sensors, Directional finding sensors, and 3rd party specialty drone Radars and cameras in order to provide your team with the most comprehensive and advanced airspace security.