SBIR/STTR Research Award

Solar-Powered HALE UAS with L-band Radar for Wildfire Predictive Mapping and Prevention

Award identifier 365bccc48e9d7dff46145292b87b4fc5dcdf6c355517b4f40aedef9327085a0eAwarding agency Department of Agriculture · National Institute of Food and Agriculture

Award amount

$175,000

Program and phase

SBIR · Phase I

Award year

2024

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
Department of Agriculture
Branch
National Institute of Food and Agriculture
Recipient company
ELECTRA.AERO INC.
Proposal award date
2024-03-15
Contract end date
2025-02-28
UEI
ULCQH7H6BUD3
Solicitation number
USDA-NIFA-SBIR-009962
Topic code
8.1

Research abstract

PROJECT SUMMARY / ABSTRACT Title: Solar-Powered HALE UAS with L-band Radar for Wildfire Predictive Mapping and Prevention PI: Stewart James P. (Electra.aero Inc.) Project Summary: The purpose of the proposed work is to develop a capability for a persistent high spatial and temporal resolution L-band radar platform for wildfire and agricultural applications. This capability will be provided by the union of cutting-edge developments in high altitude long endurance (HALE) uncrewed aerial systems (UAS) combined with the development of L-band Synthetic Aperture Radar (SAR) that are optimized for airborne applications. This union supports the collection of sustained imagery capable of resolving spatial structures on the scale of 5 m. Such high resolution is not obtainable from the current state-of-the-art solution for repetitive imagery geostationary imagers. This proposal directly addresses the need for improved spatial resolution of fuel moisture content and soil moisture to help predict forest fire danger ratings as well as potential rates and patterns of fire spread (Topic Area 8.1 Research Priority F). The HALE aircraft platform can provide persistent high spatial resolution low latency information regarding fuel moisture content (FMC) from volumetric SAR backscatter in order to support fire risk forecasting and propagation modeling as well as assisting in efficient fuel reduction efforts. These same high resolution measurements can also be used to understand how forests and grasslands are changing as a result of climate change (Topic Area 8.1 Research Priority E). 1

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

17 SBIR/STTR records share this UEI (2021–2025). Reported award amounts total $41,342,531. Reported amounts are not federal obligations.

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

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

Agency intelligence

Department of Agriculture

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.