CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021

This dataset comprises China's annual forest disturbance dates at a 30-meter resolution, captured within an analysis-ready data (ARD) tile system from 1986 to 2021. Generated using the modified COLD algorithm (mCOLD), it optimizes storage efficiency by converting forest disturbance dates into years and days of the year (DOY). The year is directly indicated in the file name, while the DOY is documented within the dataset. Each GeoTIFF file is named in the format "CAFD.yxxxx.hxxvxx.tif", where "yxxxx" denotes the year and "hxxvxx" represents the ARD tile ID. We welcome any feedback on our data for future updates!<b>Update History</b>Version 1.0: Forest disturbance monitoring using the COLD algorithm from Shang et al., 2023.Version 2.0: Modify the COLD algorithm (mCOLD) by integrating spatial information and bidirectional monitoring.Version 3.0: The data is being updated and will be available soon！<b>Emails:</b><b> </b>Rong Shang ([e-mail], https://www.researchgate.net/profile/Rong-Shang), Jing M. Chen ([e-mail]).<b>Citations</b>Shang R., Yang Z., Liang Y., et al.,(2025): CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021. https://doi.org/10.6084/m9.figshare.24464278.Shang R., Chen J.M.*, Xu M., et al.,(2023), China's current forest age structure will lead to weakened carbon sinks in the near future. The Innovation 4(6),100515. [Link]<br>

本数据集涵盖1986年至2021年间、空间分辨率为30米的中国年度森林扰动日期数据，采用分析就绪数据（analysis-ready data, ARD）瓦片系统进行组织与存储。本数据集采用改进型COLD算法（modified COLD algorithm, mCOLD）生成，通过将森林扰动日期转换为年份与年中日（days of the year, DOY）的形式，大幅优化了存储效率。其中年份信息直接标注于文件名中，年中日（DOY）的具体数值则存储于数据集内部。每个GeoTIFF文件均遵循"CAFD.yxxxx.hxxvxx.tif"的命名格式，其中"yxxxx"代表对应年份，"hxxvxx"则表示ARD瓦片ID。我们欢迎各界对本数据集提出宝贵反馈意见，以助力后续版本的迭代更新！
**更新历史**
版本1.0：基于尚等人2023年提出的COLD算法开展森林扰动监测。
版本2.0：改进COLD算法为mCOLD，整合空间信息与双向监测机制。
版本3.0：本数据集正在进行更新，即将正式发布！
**电子邮箱**
尚蓉（[e-mail]，https://www.researchgate.net/profile/Rong-Shang）、陈静明（Jing M. Chen，[e-mail]）
**参考文献**
尚蓉，杨泽，梁毅，等. (2025): CAFD：1986-2021年30米空间分辨率中国年度森林扰动日期数据集. https://doi.org/10.6084/m9.figshare.24464278.
尚蓉，陈静明*，徐萌，等. (2023): 中国当前森林年龄结构将导致近期碳汇能力减弱. 《创新（The Innovation）》, 4(6), 100515. [链接]