Postfire_recovery_Sicily
收藏Figshare2025-10-24 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Postfire_recovery_Sicily/29930732/4
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资源简介：
In this study, we analyzed post-fire vegetation dynamics using Sentinel-2–derived Normalized Burn Ratio (NBR) time series in four common Mediterranean forest and shrubland types (~4,500 ha burned in six 2017 summer wildfires in Sicily). Using TIMESAT, we extracted phenology metrics from NBR and tracked recovery for up to 76 months (Aug 2017–Dec 2023). High-resolution Google Earth imagery supported physiognomic classification, while Random Forest models assessed the influence of burn severity, climate, reburning, and topography.
提供机构：
Barbati, Anna; Zabeo, Chiara; Mengist, Mulatu; Ogunyemi, Olakunle Joshua
创建时间：
2025-10-24
