Dataset for “Stage-Integrated Fire Resilience Assessment of Forest Vegetation and Its Driving Factors”

This dataset supports the manuscript entitled “Stage-Integrated Fire Resilience Assessment of Forest Vegetation and Its Driving Factors”. It contains processed datasets, source data for the main figures and tables, metadata, and Python scripts used to quantify post-fire vegetation resilience in Northeast China.The study integrates three linked dimensions of vegetation resilience, including pre-fire ecosystem health, resistance during fire, and post-fire recovery. Fire-free counterfactual vegetation trajectories were reconstructed using a Transformer-based framework, and multiple resilience indicators derived from EVI, SIF, and NPP were integrated into a composite resilience index using tensor decomposition.The repository includes event-level and pixel-level resilience data, pre-fire health metrics, fire-event attributes, statistical summary tables, and analysis scripts required to reproduce the core results reported in the manuscript. Original remote-sensing, fire, and environmental datasets were obtained from publicly available third-party sources described in the associated article and metadata files.

本数据集为题为《森林植被火灾阶段综合韧性评估及其驱动因子》的研究手稿提供支撑。数据集包含经过处理的数据集、主图表与表格的源数据、元数据，以及用于量化中国东北地区火灾后植被韧性的Python脚本。
本研究整合了植被韧性的三个关联维度：火灾前生态系统健康状态、火灾发生期间的抗性，以及火灾后的恢复能力。研究采用基于Transformer的框架重建了无火灾情境下的植被动态轨迹，并通过张量分解将增强型植被指数（EVI）、日光诱导叶绿素荧光（SIF）和净初级生产力（NPP）衍生的多类韧性指标整合为综合韧性指数。
本数据集仓库包含事件级与像元级韧性数据、火灾前健康度量指标、火灾事件属性、统计汇总表格，以及复现手稿中核心结果所需的分析脚本。原始遥感、火灾与环境数据集均取自相关论文及元数据文件中列明的公开第三方数据源。