A remote-sensing assessment of oak forest recovery after postfire restoration
收藏Figshare2023-02-02 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Assessment_of_postfire_restoration_effects_in_oak_forest_recovery_with_remote_sensing/21997775
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The analysis is based on a dataset of post-fire restoration interventions conducted on deciduous oak forests in Portugal between 2017 and 2018. The dataset includes data on 1314 restored sites and on 1699 control sites. We used a Generalized Additive Mixed Model (GAMM) to analyse how vegetation indices such as NDVI and MSAVI changed over time as a function of post-fire restoration and topography and climate variables.
创建时间：
2023-02-02
