Analysis Results
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LANDFIRE Baseline vs Enhanced Fuel Map
❌ LANDFIRE 2020 (Baseline)
- Updates every 2-3 years
- Based on 2020 conditions
- Missed vegetation stress from 2020-2022
- Static fuel models
R² with burn severity:
0.0965
✅ Enhanced 2022 (Satellite)
- Weekly satellite updates
- Detected 2020-2022 changes
- Captured vegetation stress
- Dynamic fuel hazard mapping
R² with burn severity:
0.1382
Improvement:
+43.1%
better correlation with actual burn severity
Methodology
1
Baseline Data
LANDFIRE 2020 fuel models provide the baseline fuel classification at 30m resolution.
2
Satellite Change Detection
Sentinel-2 (10m) and MODIS (250m) imagery from 2020-2022 to detect vegetation changes via NDVI, NBR, and NDMI indices.
3
Data Fusion
Combine LANDFIRE baseline with satellite-detected changes to identify areas of increased fuel hazard.
4
Validation
Compare predictions against actual burn severity (dNBR) to quantify improvement over baseline.
Data Sources
| Dataset | Source | Resolution | Update Frequency |
|---|---|---|---|
| LANDFIRE | USGS | 30m | 2-3 years |
| Sentinel-2 | ESA/Copernicus | 10m | 5 days |
| MODIS | NASA | 250m | Daily |
| Fire Perimeters | NIFC | Vector | Real-time |
Data & Analysis Results
Validation Metrics
Sample Size:
2,522,864 pixels
Baseline R²:
0.0965
Enhanced R²:
0.1382
Improvement:
+43.1%
Statistical Significance:
p < 0.001
Change Detection Results
High Stress Areas:
25.6%
Moderate Stress:
47.6%
Mean Fuel Load Increase:
46%
NDVI Decrease Detected:
Vegetation loss
Operational Applications
Pre-Season Planning
Identify areas of increased fuel hazard before fire season
Resource Allocation
Prioritize fuel reduction treatments based on current conditions
Risk Assessment
Update wildfire risk maps with weekly satellite data
Community Prep
Target high-risk areas for community preparedness programs