The aim of this study was to identify and characterize the main plant communities in a temperate coastal wetland using high-resolution imagery. We produced a map of Samborombón Bay at 1:25,000 scale using a WorldView-2 image. An Object-based Image Analysis approach was chosen, and an unsupervised classification algorithm was applied. Overall classification accuracy was 81%, and the Kappa index was 78.1%. Six land cover types were mapped including four main natural monospecific plant communities. The lower intertidal area was dominated by mudflats without vegetation and stands of Bolboschoenus maritimus. The middle intertidal area was dominated by Sarcocornia ambigua, while, in the higher intertidal area, Sporobolus densiflorus and grasslands with Cortaderia selloana prevailed. We found four spatial patterns at a landscape scale, based on the presence and spatial distribution of the natural plant communities. This map represents a valuable tool for future studies on wetland environmental indicators.

这项研究的目的是使用高分辨率图像识别和表征温带沿海湿地中的主要植物群落。我们使用WorldView-2图像制作了1：25,000比例的Samborombón湾地图。选择了一种基于对象的图像分析方法，并应用了无监督分类算法。总体分类准确度为81％，卡伯指数为78.1％。绘制了六种土地覆被类型，包括四个主要的自然单种植物群落。潮间带下部地区主要是没有植被的滩涂和沿海的Bolboschoenus maritimus。潮间带中段地区主要是Sarcocornia ambigua，而潮间带较高地区中，Sporobolus densiflorus和草地上Cortaderia selloana盛行。基于天然植物群落的存在和空间分布，我们在景观尺度上发现了四种空间格局。该地图代表了今后对湿地环境指标进行研究的宝贵工具。