Wildfire Fuel Load Configuration & Remote Sensing Data Processing

The contract requires configuring fuel load variables within the SyncroSim/ST-Sim modeling platform to enable accurate wildfire regime simulations across the United States, with a focus on aligning spatial data parameters with national fire behavior and ecological conditions. The work includes the processing and integration of remote sensing data sources to update, validate, and refine fuel load datasets, ensuring they reflect current land cover, vegetation density, and fire risk gradients over time and space. Efforts must support modeling applications used for fire management planning, risk assessment, and resource allocation by translating satellite and aerial imagery into usable input layers within ST-Sim. The subcontractor is expected to demonstrate technical expertise in geospatial analysis, fuel modeling frameworks, and computational ecology tools, with deliverables that include calibrated datasets, documentation of parameter adjustments, and evidence of model fidelity across diverse ecoregions. Performance occurs nationally without a fixed physical location, and the opportunity is open under NAICS code 541330 for scientific and technical consulting services, with proposals due by July 31, 2026.