SBIR/STTR Research Award

Compact, High Performance, Drone-mounted Spectral Imaging System for Ecosystem Carbon-Cycle Characterization and Agricultural Monitoring

Award identifier 7a22906065a192f5a69a772971eb1c08522c6cbb7e77b5eeff7a23d09aa79740Awarding agency Department of Energy

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2016

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 Energy
Branch
Not reported
Recipient company
SPECTRAL SCIENCES, INC
Proposal award date
2016-02-22
Contract end date
2016-11-21
UEI
N8CQNLSSAZY4
Solicitation number
DE-FOA-0001366
Topic code
19a

Research abstract

Modeling and predicting climate change requires knowledge of the fate of excess CO2 in the global carbon cycle, and particularly the processes of terrestrial carbon sequestration. Information on these processes can be obtained from vegetation trait measurements at frequent time intervals and over a wide range of spatial scales using imaging spectroradiometers on Unmanned Aerial Systems. The required spectral range is 350-2500 nm. A small, low-weight, hyperspectral imaging spectroradiometer system for UASs will be developed based on a high-performance solid-core spectrograph design and robust processing algorithms that produce calibrated vegetation trait products. The key innovation is extension of the measurement range from the visible to the short-wave-infrared. The system will be packaged for deployment on a multicopter or fixed-wind Unmanned Aerial System, enabling overflight monitoring of vegetation to determine sequestered carbon content. In Phase II it will be integrated with a multicopter and tested at a well-instrumented ecological research facility. A complete system design will be developed including: 1) a detailed optical and mechanical design for the new imaging spectrograph, and 2) processing algorithms for automated production of calibrated, atmospherically corrected imagery and vegetation products. Feasibility will be proven and system performance predicted through engineering calculations and processing of airborne hyperspectral data. A lightweight imaging spectral sensor integrated into a small drone multicopter will produce high-resolution maps of plant health for climate change research and precision agriculture. Researchers can map ecological change at the forest level, while farmers can control fertilizer and water based on the requirements of individual plants. Commercial Applications and Other Benefits: The sensor system will be integrated into a commercial product line aimed at the precision agriculture and mineral exploration industries. It represents a breakthrough in size, weight, and performance that will enable routine application in the growing, but cost-sensitive field of precision agriculture. It will also be sold into the agricultural and ecological research markets.

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

349 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $142,164,659. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration, National Science Foundation, Department of Agriculture, Department of Homeland Security

Agency intelligence

Department of Energy

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.