A remote-sensing assessment of oak forest recovery after postfire restoration - Dataset
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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：
2023-02-06
