AeroScope provides researchers with real-time and historical ADS-B flight data through multiple export formats and a comprehensive API. Designed for academic rigor and reproducibility.
Study aircraft movement patterns including holding patterns, approach procedures, departure routes, and traffic flow. AeroScope's pattern detection algorithm identifies orbits, racetracks, loiter behavior, and grid searches automatically, providing a pre-classified dataset for pattern research.
Analyze traffic density, altitude layer distribution, temporal patterns, and sector loading. AeroScope's airspace complexity scoring provides a quantitative framework for studying congestion, capacity, and safety margins in different airspace volumes.
Investigate law enforcement and government surveillance aircraft through persistent tracking and pattern recognition. Identify aircraft that exhibit surveillance behavior (circular patterns, loiter over specific areas) and correlate with public records databases.
Correlate aircraft positions and altitudes with noise measurement data. Export approach and departure trajectories for airports of interest, and analyze altitude profiles, flight frequencies, and time-of-day patterns for environmental impact studies.
Study ADS-B signal characteristics including reception rates, position accuracy, message types, and spoofing detection. AeroScope's signal integrity module provides a foundation for cybersecurity research in aviation surveillance systems.
Study drone/UAV activity in the national airspace through AeroScope's drone detection system. Analyze drone flight characteristics, operating altitudes, proximity to airports, and temporal patterns. Useful for UAS integration and policy research.
Ideal for spreadsheet analysis and statistical software (R, SPSS, Stata). Each row represents one aircraft at one point in time, with columns for ICAO hex, callsign, latitude, longitude, altitude, speed, heading, vertical rate, squawk, aircraft type, threat score, and all analysis flags.
GET /api/export/csv
Accept: text/csv
Authorization: Bearer <token>Structured data format ideal for programmatic analysis in Python, JavaScript, and other languages. Includes nested objects for analysis results (threat scoring breakdown, pattern classification details, drone detection rationale).
GET /api/export/json
Accept: application/json
Authorization: Bearer <token>Geographic data format compatible with GIS tools (QGIS, ArcGIS, Mapbox, Leaflet). Each aircraft is a GeoJSON Feature with Point geometry and properties containing all telemetry and analysis data. Ideal for spatial analysis and mapping projects.
GET /api/export/geojson
Accept: application/geo+json
Authorization: Bearer <token>For automated data collection, use the REST API with over 50 endpoints. Common research workflows include:
/api/aircraft at regular intervals (e.g., every 12 seconds) and store results for longitudinal analysis/ws for continuous real-time data without polling overheadSee the full API documentation for endpoint details, authentication, and rate limits.
When using AeroScope data in academic publications, please cite as follows:
@misc{aeroscope2026,
title={AeroScope Real-Time ADS-B Flight Tracking Platform},
author={{AeroScope}},
year={2026},
url={https://aeroscope.live},
note={Accessed: [date]}
}If your research uses specific analysis features (threat scoring, pattern detection, drone detection), please mention the specific module version in your methodology section for reproducibility.