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>