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Quantifying post-fire differences in forest structure and aboveground biomass using the TECIS full-waveform LiDAR system
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DOI：10.1016/j.jag.2026.105322.png)
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Abstract
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• TECIS captures post-fire vertical forest structure differences at the footprint-level. • RH75–RH95 declines indicate pronounced mid- and upper-canopy collapse in burned stands. • Burned forests show 41–53% lower AGB across coniferous, mixed, and broadleaf stands. • Integration with Sentinel data enables scalable mapping of post-fire forest structure and biomass. • Independent validation with 108 plots supports the final AGB map (R2 = 0.64; rRMSE = 34.71%).
Keywords:
TECIS
Post-fire forest structure
Full-waveform simulation
Footprint-level AGB modelling
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