Evaluation of Unmanned Aircraft Systems for Live Monitoring to Enhance Situational Awareness During an Aircraft Rescue and Firefighting Response
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Summary
This report evaluates the use of small unmanned aircraft systems (UAS) to enhance situational awareness for Aircraft Rescue and Firefighting (ARFF) personnel and incident commanders (ICs). The research was motivated by historical accidents, such as Asiana Flight 214 and Emirates Flight 521, where limited visibility due to smoke, foam, and vehicle positioning hindered effective response coordination. The study aimed to determine if UAS equipped with visual and thermal cameras could provide critical aerial perspectives, thereby improving real-time decision-making and response effectiveness. The research was conducted in three phases. Phases 1 and 2 took place at the FAA’s William J. Hughes Technical Center at Atlantic City International Airport, involving 34 test flights over simulated accident scenes. Phase 1 focused on daylight conditions, while Phase 2 expanded to include twilight and nighttime operations. Phase 3 occurred at the Dallas/Fort Worth International Airport Fire Training Research Center, where UAS were deployed during 17 live-fire training scenarios. During these exercises, ICs received live video feeds on tablets to evaluate operational utility. The study tested various commercial UAS platforms, including the DJI Matrice 210, DJI Mavic 2 Enterprise Dual, and Parrot Anafi USA, assessing their performance across different lighting conditions and environmental tolerances. The findings indicate that UAS equipped with both thermal and visual cameras provide significant situational awareness benefits, particularly in complex scenarios requiring broad area monitoring. Key advantages included enhanced 360-degree initial assessments, detection of heat signatures and hot spots, victim location, and monitoring of areas obscured from ground-level views. However, limitations were identified, including the need for dedicated staffing to operate the UAS, susceptibility to inclement weather, and regulatory restrictions on operations in controlled airspace. Based on the analysis, the FAA established minimum performance specifications for live-streamed video: 720p resolution (1280x720 pixels) for visual cameras and 640x512 pixels for thermal cameras. The report concludes by providing technical and operational considerations for integrating UAS into ARFF responses. These guidelines address platform selection, ground control station requirements, wireless video transmission stability, and environmental tolerances. The study validates that UAS can serve as a valuable tool for improving ARFF effectiveness and safety, provided that airports adopt standard operating procedures and ensure compliance with FAA regulations and airspace authorizations. The recommended specifications and best practices offer a framework for airports to implement UAS technology to support emergency response operations.
Key finding
Unmanned aircraft systems equipped with thermal and visual cameras provided significant situational awareness benefits to incident commanders during aircraft rescue and firefighting responses, particularly in complex scenarios requiring wide-area monitoring and heat signature detection.
Methodology
field_study
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
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| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 24 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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