Opportunity
SAM #69774b7d27134200bd87130c93122629
Industry Exchange Event: Surface Fuels and Vegetation Modeling for Wildfire Prediction
Buyer
NAWCAD TSD
Posted
April 08, 2026
Respond By
April 22, 2026
Identifier
69774b7d27134200bd87130c93122629
This opportunity is an industry exchange event hosted by the Naval Air Warfare Center Training Systems Division (NAVAIR NAWC TSD) to address technical challenges in modeling surface fuels for wildfire prediction. - Event focus: Surface fuels and vegetation modeling for wildfire behavior prediction, especially in non-forested ecosystems - Purpose: Inform the scope and evaluation criteria of a future prize challenge seeking scalable, realistic solutions for fire prediction, prescribed burn planning, and operational safety - Audience: Federal program managers, operational leaders, fire behavior modelers, and cross-sector innovators (AI, machine learning, remote sensing, geospatial analytics, environmental modeling, vegetation science, data fusion, uncertainty quantification) - No products or services are being procured at this time; this is not a solicitation for bids or proposals - Attendees will help shape future funding efforts and the direction of the upcoming challenge - No OEMs, vendors, or specific products are mentioned - Event location: Orlando, Florida, at NAVAIR NAWC TSD
Description
Wildfire behavior models rely on accurate representation of surface fuels such as grasses, litter, shrubs, and downed woody material, yet this remains one of the least resolved technical gaps, particularly in non forested ecosystems. Improving how these fuels are measured, classified, and modeled is critical to advancing fire prediction, prescribed burn planning, and operational safety. This exchange brings together federal program managers, operational leaders, fire behavior modelers, and cross sector innovators to refine the scope of an upcoming prize challenge focused on scalable, realistic solutions to this national level problem.
This event is ideal for organizations working in AI and machine learning, remote sensing, geospatial analytics, environmental modeling, vegetation science, data fusion, and uncertainty quantification. Attendees will gain direct insight into operational modeling needs, help shape the evaluation criteria for the upcoming prize challenge, and engage with decision makers and potential collaborators. Participants can expect expert briefings, structured discussions, and opportunities to influence the technical direction of future funding efforts. Register today to contribute your expertise and help define the next generation of surface fuels modeling solutions. Additional Links:Register Today!