Global 30-m spatial distribution of mangroves in 2000-2020 (GMF30_2000-2020)

Mangrove forests are swampy, woody plant communities mainly composed of evergreen shrubs or trees distributed in the coastal wetlands of tropical and subtropical regions throughout the world. They have special sea-land characteristics and are a wetland ecosystem with important ecological, economic, and landscape values in the coastal zone. Four periods of global mangrove distribution dataset for 2000, 2010, 2015 and 2020 were generated by mapping the global mangrove change with a combination of the Capsules-Unet deep learning model and visual interpretation of imagery using multi-temporal Landsat images with no clouds or less than 20% cloud cover after pre-processing such as atmospheric correction and band combination. Compared with similar products, this product has a longer time series and can accurately reflect the dynamics of global mangrove changes. The overall accuracy of verification is greater than 88%, kappa coefficient and F1 index are greater than 0.76 and 0.88 respectively.

红树林是一类沼泽型木本植物群落，主要由常绿灌木或乔木组成，广泛分布于全球热带、亚热带区域的滨海湿地中。其具备独特的海陆过渡特性，是滨海地带兼具重要生态、经济与景观价值的湿地生态系统。本数据集包含2000年、2010年、2015年及2020年四个时期的全球红树林分布数据，通过结合胶囊U-Net (Capsules-Unet)深度学习模型开展全球红树林变化制图，并采用经大气校正、波段组合等预处理后的多时相Landsat影像（无云或云量不超过20%）进行目视解译而生成。相较于同类产品，本数据集拥有更长的时间序列，能够精准反映全球红树林的动态变化过程。经验证，其总体精度高于88%，Kappa系数与F1指数分别大于0.76与0.88。