准确、实时掌握潮间带湿地范围变化情况与物种群落变化是实现湿地潮间带可持续发展与管理的重要基础工作。近年来，全球气候变暖、海平面上升以及人类对海岸带的开发、围垦、水产养殖等因素，导致潮间带受到严重的破坏。目前尚缺乏对广西地区潮间带红树林潮滩分类的系统性研究，为实现广西潮间带资源的大范围、高精度提取，基于GEE（Google Earth Engine）云平台，利用2012—2022年广西海岸带的Landsat系列影像数据，并对影像进行阈值分割处理，分析潮汐动态淹没影响下的各遥感特征，提取了广西海滨湿地潮间带范围，并实现了研究区域滩涂及水体、红树植被、非红树植被的分类，面积分别为5 641.67、1 625.29、2 156.04 hm²。分类总体精度达93.3%，Kappa系数0.9。

Accurately and in real-time understanding the changes in the scope and species communities of intertidal wetlands is an important foundation for achieving sustainable development and management of wetland intertidal zones. In recent years, global warming, rising sea levels, and human activities such as coastal development, reclamation, and aquaculture have caused serious damage to the intertidal zone. At present, there is a lack of systematic research on the classification of mangrove tidal flats in the intertidal zone of Guangxi. In order to achieve large-scale and high-precision extraction of intertidal resources in Guangxi, this article was based on GEE (Google Earth Engine) platform, using Landsat series image data of Guangxi coastal zone from 2012 to 2022, and threshold segmentation processing of the images. The various remote sensing features under the influence of tidal dynamic inundation were analyzed, and the intertidal zone range of coastal wetlands in Guangxi was extracted. Achieved the classification of tidal flats and water bodies, mangrove vegetation, and non-mangrove vegetation in the study area, with areas of 5 641.67 hm², 1 625.29 hm², and 2 156.04 hm² respectively. The overall classification accuracy reached 93.3%, with a Kappa coefficient of 0.9.