A remote-sensing assessment of oak forest recovery after postfire restoration - Dataset
收藏DataCite Commons2025-06-01 更新2024-08-18 收录
下载链接：
https://figshare.com/articles/dataset/A_remote-sensing_assessment_of_oak_forest_recovery_after_postfire_restoration_-_Dataset/22015970/1
下载链接
链接失效反馈官方服务：
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：
figshare
创建时间：
2023-02-06
