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STTR Phase I:Subcanopy 3D forest mapping by uncrewed aerial vehicle

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 2304303
Agency Tracking Number: 2304303
Amount: $274,929.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: R
Solicitation Number: NSF 22-551
Timeline
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-05-15
Award End Date (Contract End Date): 2023-11-30
Small Business Information
47 Wood Ave Suite 2
Barrington, RI 02806
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Erin Linebarger
 (508) 596-6433
 erin@robotics88.com
Business Contact
 Erin Linebarger
Phone: (508) 596-6433
Email: erin@robotics88.com
Research Institution
 Carnegie-Mellon University
 
5000 FORBES AVE
PITTSBURGH, PA 15213
United States

 Nonprofit College or University
Abstract

The broader/commercial impact of this Small Business Technology Transfer (STTR) Phase I project is a tool to help mitigate the wildfire crisis in the western United States. Prescribed burns are one of the most effective ways to prevent the uncontrolled, large-scale wildfires that devastate entire ecosystems, communities, and economies, but the environmental assessment required for burns may delay the burn by months or years due to overburdened agencies. The innovation addresses this pain point with an automated survey solution, reducing both the paperwork burden and the potential for error in burn area vegetation mapping and spatial fire modeling. The solution ensures that prescribed burn plans use the best available vegetation data, providing fire managers with an accurate prediction of expected fire behavior for determining control strategy, staffing, and resources. This innovation would be the first automated prescribed burn spatial fire modeling solution using an autonomous Unmanned Aerial Vehicle (UAV). This innovation meets the STTR program’s focus on unproven, high-impact innovations because sub-canopy mapping by UAV is a cutting-edge application of autonomous flight, with challenges in optimization and decision-making. The application of UAV technology to prescribed burn environmental assessments will help to address the growing wildfire crisis in the United States by reducing the delay between the decision to burn at a selected site and the execution of the burn. _x000D_
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The technical hurdles to be addressed by the proposed project include both real-time, sub-canopy 3D mapping and optimization for constraints across sensor requirements, cluttered environment exploration, and SWAP (size, weight, and power) limitations. The goals are to produce a high-fidelity, open-source. UAV exploration environment, to implement 3D mapping on a resource-constrained computer that meets UAV payload requirements, to incorporate species-specific decision-making criteria into the UAV exploration algorithm, and to conduct validation testing to verify technical and early commercial feasibility. To achieve these goals, the development plan includes a series of milestones following a test-driven, development project management strategy, including simulation testing (software in the loop), tabletop testing (hardware in the loop), and field tests._x000D_
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This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

* Information listed above is at the time of submission. *

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