| a | 
| ADS-B | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering
 Jamming/Garbling assessment and possible mitigations in the OpenSky network
 Detecting GPS Jamming Incidents in OpenSky Data
 Higher than a kite: ADS-B communication analysis using a high-altitude balloon
 | 
| ADS-B compliance | Investigating ADS-B MOPS Compliance using Open Data | 
| ADS-B data | A number-based inventory of particle emissions by civil aviation and the influences on the particle number concentration near Zurich airport | 
| ADS-B MOPS | Investigating ADS-B MOPS Compliance using Open Data | 
| ADS-B Technology | Project Peregrine: Enhancing Public Sector Research in Global Transparency and Anti-Corruption Through Open Aviation Data. | 
| air traffic | Regulation-Oriented Filtering in Web-Based Air Traffic Exploration | 
| Air Traffic Data | Anomalies in the Sky: Experiments with traffic densities and airport runway use | 
| Air Traffic Management | A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering | 
| Aircraft | Higher than a kite: ADS-B communication analysis using a high-altitude balloon | 
| anomaly detection | Building Visual Anomaly Dataset from Satellite Data using ADS-B Anomalies in the Sky: Experiments with traffic densities and airport runway use
 | 
| ANSP | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| Aviation emission | A number-based inventory of particle emissions by civil aviation and the influences on the particle number concentration near Zurich airport | 
| b | 
| Balloon | Higher than a kite: ADS-B communication analysis using a high-altitude balloon | 
| black carbon | A number-based inventory of particle emissions by civil aviation and the influences on the particle number concentration near Zurich airport | 
| c | 
| citizen science | Regulation-Oriented Filtering in Web-Based Air Traffic Exploration | 
| Clustering | A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering | 
| Complex Event Processing | VAT to the Future: Extrapolating Visual Complex Event Processing | 
| computer vision | Building Visual Anomaly Dataset from Satellite Data using ADS-B | 
| d | 
| data processing | A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering | 
| datasets | Building Visual Anomaly Dataset from Satellite Data using ADS-B | 
| dynamic clock model | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| f | 
| filtering | Regulation-Oriented Filtering in Web-Based Air Traffic Exploration | 
| flight efficiency | Evaluation of Flight Efficiency for Stockholm Arlanda Airport using OpenSky Network Data | 
| g | 
| Garbling | Jamming/Garbling assessment and possible mitigations in the OpenSky network | 
| Geovisualization | VAT to the Future: Extrapolating Visual Complex Event Processing | 
| Global Transparency Research | Project Peregrine: Enhancing Public Sector Research in Global Transparency and Anti-Corruption Through Open Aviation Data. | 
| GPS location | Detecting GPS Jamming Incidents in OpenSky Data | 
| i | 
| implementation | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| Infrastructure | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| j | 
| Jamming | Jamming/Garbling assessment and possible mitigations in the OpenSky network Detecting GPS Jamming Incidents in OpenSky Data
 | 
| k | 
| Kalman filter | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| l | 
| Legislative Context | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| Localization | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| m | 
| machine learning | Anomalies in the Sky: Experiments with traffic densities and airport runway use A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering
 | 
| Mode-S | Integrating pyModeS and OpenSky Historical Database | 
| Mode~S | A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering | 
| Multilateration | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| o | 
| Open Aviation Data | Project Peregrine: Enhancing Public Sector Research in Global Transparency and Anti-Corruption Through Open Aviation Data. | 
| open data | Investigating ADS-B MOPS Compliance using Open Data | 
| OpenSky | Integrating pyModeS and OpenSky Historical Database | 
| Opensky-network | Evaluation of Flight Efficiency for Stockholm Arlanda Airport using OpenSky Network Data | 
| p | 
| Particle number concentration | A number-based inventory of particle emissions by civil aviation and the influences on the particle number concentration near Zurich airport | 
| Performance | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| probe | Higher than a kite: ADS-B communication analysis using a high-altitude balloon | 
| Public-sector research | Project Peregrine: Enhancing Public Sector Research in Global Transparency and Anti-Corruption Through Open Aviation Data. | 
| Punctuality Fuel Consumption | Evaluation of Flight Efficiency for Stockholm Arlanda Airport using OpenSky Network Data | 
| pyModeS | Integrating pyModeS and OpenSky Historical Database | 
| pymodes-opensky | Integrating pyModeS and OpenSky Historical Database | 
| r | 
| risk assessment | Jamming/Garbling assessment and possible mitigations in the OpenSky network | 
| RTL-SDR | Higher than a kite: ADS-B communication analysis using a high-altitude balloon | 
| s | 
| safety | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| Security | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges Jamming/Garbling assessment and possible mitigations in the OpenSky network
 Detecting GPS Jamming Incidents in OpenSky Data
 | 
| spatio-temporal data | VAT to the Future: Extrapolating Visual Complex Event Processing | 
| spectrum | Higher than a kite: ADS-B communication analysis using a high-altitude balloon | 
| surveillance | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| surveillance network | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| synchronization | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| t | 
| TDOA | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| trajectory | A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering | 
| Transnational Illicit Networks | Project Peregrine: Enhancing Public Sector Research in Global Transparency and Anti-Corruption Through Open Aviation Data. | 
| u | 
| Unmanned Aerial Vehicle (UAV) | G2A Localization: Aerial Vehicles Localization Using a Ground Crowdsourced Network | 
| v | 
| Validation Unit | DFS ADS-B Implementation in High Density Radar Controlled Airspace – Experiences and Challenges | 
| visual analytics | Regulation-Oriented Filtering in Web-Based Air Traffic Exploration |