A remote-sensing assessment of oak forest recovery after postfire restoration - Dataset
收藏Figshare2023-02-06 更新2026-04-08 收录
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https://figshare.com/articles/dataset/A_remote-sensing_assessment_of_oak_forest_recovery_after_postfire_restoration_-_Dataset/22015970/1
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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. 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.
提供机构：
Lopes, Luis Filipe; Acácio, Vanda; Fernandes, Paulo M.; Dias, Filipe S.
创建时间：
2023-02-06
