SBIR/STTR Research Award

UAS Traffic Management (UTM) Concept Demonstration for 24 Hour Aerial Firefighting

Award identifier 474946664022661ff36767392115008d571c925a43db817cab79e237c2724510Awarding agency National Aeronautics and Space Administration

Award amount

$156,494

Program and phase

SBIR · Phase I

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
TRIDENT SENSING, INC.
Proposal award date
2022-07-21
Contract end date
2023-01-25
UEI
SC2ANJXVPLM7
Solicitation number
SBIR_22_P1
Topic code
A3

Research abstract

Climate change is increasing the frequency and severity of western wildfires. Threats to people and infrastructure are growing with more population living in the wildland-urban interface. Blindly throwing more resources at the problem while doing things the same way is not a cost-effective solution.nbsp;Extending manned and unmanned aerial firefighting to 24-hour operations will provide a major increase in firefighting effectiveness and efficiency. nbsp;During the night, winds die down, temperatures decrease and humidity increases making night time a more productive time to fight fires from the air. But, existing airspace management processes are visual, manual, and not conducive to UAS participation. Hence, firefighting is largely restricted to manned, daytime, clear air mass visual operations. By applying existing and emerging technology in innovative ways, firefighting can be transitioned to round the clock operations with Unmanned Air Systems (UAS) picking up much of the workload. nbsp;UAS Traffic Management (UTM) concepts will be demonstrated including;nbsp;UAS near real time fire map downlinked to a ground-based Common Operating Picture (COP), ground based UAS mission tasking, uplink of tasking, and precisionnbsp;guidance to the delivery point. nbsp;Actual retardant drop parameters are downlinked for display on the COP for evaluation of mission effectiveness. The overhead stack of lead plane, tanker, and aerial supervision aircraft is eliminated. Night air operations are de-conflicted through the use of controlled 3D entry and exit corridors to eliminate the risk of mid-air collision. nbsp;Eliminating the overhead stack at night will improve efficiency by allowing manned/unmanned tankers to drop on arrival vice waitingnbsp;in the stack. nbsp;Airspace is freed up for dedicated UAS missions. nbsp;Near real-time fire mapping and asset tracking are considered key enablers to allow transfer of control of night of air operations to the ground.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

8 SBIR/STTR records share this UEI (2021–2025). Reported award amounts total $5,284,532. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: National Aeronautics and Space Administration, Department of Defense, Department of Agriculture, Department of Commerce

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.