Data and code from: Temporal shift and climate drivers of vegetation resilience in a high-altitude national park of China
收藏DataCite Commons2026-05-04 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.jwstqjqqk
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资源简介:
This dataset contains the processed analytical data and calculation
scripts supporting the study on vegetation resilience in a high-altitude
national park. The data include monthly and annual time series of the
Normalized Difference Vegetation Index (NDVI) and key climate drivers,
including precipitation (PRE), temperature (TEM), potential
evapotranspiration (PET), and the Standardized Precipitation
Evapotranspiration Index (SPEI) from 2002 to 2021. The dataset consists
of: A processed tabular dataset (.csv) integrating multi-source remote
sensing and meteorological data, resampled to 1 km resolution. Analytical
scripts used for NDVI threshold filtering (NDVI < 0.1), vegetation
type reclassification, and statistical modeling. These data are provided
to ensure the reproducibility of the temporal shift analysis and
climate-driven resilience modeling presented in the associated journal
article.
提供机构:
Dryad
创建时间:
2026-03-27



