Hyperspectral imagery provides valuable insights for wildfire risk assessment, response, and recovery. Pre-fire imagery can be used to evaluate fuel potential by analyzing above-ground biomass, vegetation species, and plant/tree coverage across a geographic area. Spectrally derived indicators such as moisture and drought indices, along with vegetation health metrics, help refine fire risk estimates. Imagery collected during or after a fire enables accurate mapping of burned areas and identification of surviving vegetation. Continued monitoring through recurring imagery supports ecosystem recovery planning and assessment over time.



Hyperspectral analysis supports wildfire risk assessments and recovery/mitigation efforts