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Near-real-time potential control location and strategy planning tool for wildland fire management

Award Information
Agency: Department of Agriculture
Branch: N/A
Contract: 2021-00944
Agency Tracking Number: 2021-00944
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 8.1
Solicitation Number: USDA-NIFA-SBIR-007713
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-04-29
Award End Date (Contract End Date): 2022-02-28
Small Business Information
1216 S Doran
Mesa, AZ 85204-5902
United States
DUNS: 117123169
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tom Harbour
 (202) 302-2756
Business Contact
 Ricky Opaterny
Phone: (415) 798-8340
Research Institution

Hangar Alpha LLC is developing Cornea in consultation with federal state county and localresponders.Cornea is a data service for wildland fire planning response and recovery. We applydata science to the management of wildfires by combining real-time situational awareness withpredictive analytics to inform where people should be so we can save lives and reduce costs.
Cornea advocates for relevant data for each user customized to and by the decisions they need tomake. Our data-fusion model connects disparate data silos across applications and databases. Weprocess them along with historical and real-time data in a dynamic way. We fundamentally believecomputational statistics and mathematical models can facilitate better strategic resource allocationand shared knowledge of potential effectiveness across organizational silos. But to be effective thedisplay of information must be relevant understandable timely and actionable for the end-user.Cornea provides computer-driven decision-support insights and tools that combine experts'knowledge and experience with data science artificial intelligence and machine learning to informfirst responders and emergency planners before during and after disaster strikes to save lives andreduce costs. Through improved data collection and partnerships with experts and researchersCornea's machine-learning techniques can support better decision making in managing wildlandfires.
We have developed the necessary infrastructure and expertise to aggregate fuels weather andtopography data to create these PCLs in Cornea. In this proposal we propose novel changes to thedevelopment of PCLs to make them more accurate more interpretable and more easily deployedfor pre-season planning and real-time incident management.

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

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