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Modelling the influence of meteorological drivers on spectral fire severity: a case study in NW Spain
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DOI：10.1016/j.agrformet.2026.111405.png)
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Abstract
En 中文
• Integrating meteorological variables and spectral indices improves burn severity assessment. • Best correspondence with field data was BNDVI for SBS and dNBR for VBS. • RF outperformed GAM (R² > 0.86) in burn severity modelling. • Soil moisture and VPD were the most influential predictors of burn severity.
Keywords:
Fire severity
Spectral indices
Mediterranean fires
Fuel dryness
Soil moisture
Vapour pressure deficit
Random forest
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5.7
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3.2W
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