Optimizing Fire Severity Mapping in Mediterranean Ecosystems: A Comparative Analysis of Hyperspectral and Multispectral Vegetation Indices - José Alberto Cipra-Rodriguez

Year
2026
Tags
wildfires
wildfire severity
remote sensing
hyperspectral imagery
multispectral imagery
vegetation indices
Composite Burn Index
PRISMA satellite
Sentinel-2
fire assessment
burn mapping
forest monitoring
GIS
environmental monitoring
Zamora wildfire
post-fire analysis
UVA
Summary

This study evaluated multispectral and hyperspectral vegetation indices to estimate wildfire severity in the 2022 Sierra de la Culebra fire. Field Composite Burn Index data were correlated with satellite-derived indices. Results showed hyperspectral imagery provided more accurate severity estimates, particularly using Cellulose Absorption Index and Red Edge indices.