Wetlands are under increasing pressure from threatening processes. Efforts to protect and monitor wetlands are hampered without datasets capturing the extent, type, and condition. The purpose of this study is to map the distribution of wetland type, vegetation type and vegetation condition for wetlands in the Northern Jarrah Forest region, Western Australia. A random forest algorithm implemented via Google Earth Engine (GEE) was used to classify wetlands and vegetation condition using satellite imagery, topographic indices, and soil mapping. Wetland type was classified using a hierarchical approach incorporating increasing level of detail. Wetland type was mapped as system type from the Interim Australian National Aquatic Ecosystem (ANAE) Classification framework and at hydroperiod level, with overall accuracy of 83% and 82% respectively. Vegetation type was mapped with an accuracy of 78.3%. Mapping of vegetation condition using the Vegetation Assets, States and Transitions (VAST) framework achieved an overall accuracy of 79.6%. Results show that wetlands occur in greater concentration as narrow seasonally waterlogged sites in the west, more sparsely and seasonally inundated sites in the northeast, and as broad seasonally waterlogged sites in the southeast of the study area. Wetland degradation determined through vegetation condition is concentrated in the east, and highest in seasonally waterlogged wetlands. Overall, the wetlands mapping framework implemented in this study can be used by land managers and other interested parties seeking to identify threatened and high conservation value wetlands in other areas.

湿地正面临着来自威胁过程的越来越大的压力。如果没有捕获湿地范围、类型和状况的数据集，保护和监测湿地的努力就会受到阻碍。本研究的目的是绘制西澳大利亚北红柳桉森林地区湿地类型、植被类型和植被条件的分布图。通过 Google Earth Engine (GEE) 实施的随机森林算法利用卫星图像、地形指数和土壤测绘对湿地和植被状况进行分类。湿地类型采用分层方法进行分类，并不断增加细节水平。湿地类型根据澳大利亚国家水生生态系统临时分类框架和水文周期水平绘制为系统类型，总体准确度分别为 83% 和 82%。植被类型绘图的准确度为 78.3%。使用植被资产、状态和转变(VAST) 框架绘制植被状况图，总体精度达到 79.6%。结果表明，研究区西部湿地面积较窄，季节性淹水点较多，东北部湿地稀疏且季节性淹水点较多，东南部湿地面积较大，季节性淹水点较多。由植被状况决定的湿地退化集中在东部，季节性涝湿地退化程度最高。总体而言，本研究中实施的湿地测绘框架可供土地管理者和其他感兴趣的各方使用，以识别其他地区受威胁和高保护价值的湿地。