2026-10-14T16:30:30Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01738 2026-07-21T13:37:39Z

2026-07-21 A dataset of monthly Vegetation Health Index at a resolution of 1 km for the Three-North Shelterbelt Program region from 2000 to 2024 doi:10.57760/sciencedb.j00001.01738 en The Three-North Shelterbelt Program region (TNSP) is the core area for constructing ecological security barriers in northern China, characterized with vast spatial extent, pronounced climatic gradients, and severe drought stress. Long-term monitoring of vegetation drought and recovery is the basis for evaluating ecological engineering initiatives across the TNSP. Based on multi-source datasets including MODIS vegetation index product (MOD13A3), land surface temperature product (MOD11A2), and monthly precipitation and potential evapotranspiration data, following data preprocessing such as QA quality control, gap-filling for missing values, and temporal smoothing, this study apply a multi-temporal scale standardized precipitation evapotranspiration index (SPEI) pixel-wise maximum correlation optimization weight method, to generate a monthly Vegetation Health Index (VHI) dataset at 1 km spatial resolution for the TNSP from 2000 to 2024. Compared to the traditional fixed empirical weight of 0.5, the VHI dataset produced using the optimized weighting method exhibits significantly enhanced vegetation sensitivity in characterizing drought intensity variations. This dataset can provide fundamental data support for vegetation drought monitoring and its driving mechanism analysis, as well as assessment of ecological engineering implementation effectiveness in the TNSP. Vegetation Health Index; Optimized Weighting; Standardized Precipitation Evapotranspiration Index; Drought Monitoring; Three-North Shelterbelt Forest Program zhao hui ling Yu Qinyue Guo Yan Bai Yan Bao Honghao Wang Hengjie Zou Xiangyu Asgen Liu Feng Liu Yanping PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank