A remote-sensing assessment of oak forest recovery after postfire restoration
收藏DataCite Commons2023-02-05 更新2024-08-18 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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资源简介：
The analysis is based on a dataset of post-fire restoration interventions conducted on deciduous oak forests in Portugal between 2017 and 2018. <br> The dataset includes data on 1314 restored sites and on 1699 control sites. <br> 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.
提供机构：
figshare
创建时间：
2023-02-02
