This study is focused on detecting vegetation stress in natural and seminatural riparian wetland ecosystems. Wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services as long as they are in good condition. The global climate change influences a local environment, in which wetlands health become an indicator of drought conditions. Persisting adverse conditions might lead to irreversible changes in these precious ecosystems. Hence, modern methods for the monitoring of these ecosystems are required to be developed. In the scope of this study, based on basic meteorological elements (air temperature and humidity) and canopy temperature from two different platforms (meteorological tower and Landsat-8 satellite), crop water stress index (CWSI) was proposed for riparian wetland habitats and wet meadows monitoring. The study was conducted in the Upper Biebrza Basin (NE, Poland). As a first step, CWSI was calculated based on meteorological measurements and compared with CWSI calculated for surrounding Landsat-8 pixels covered by the same land-use type as one being in the tower sensor field of view. CWSI from both sensors were in significant agreement. In the second step of the analysis, CWSI and selected optical indices were calculated for a longer period based on satellite data. Those indices were compared with test if they indicate the same conditions, or if their indications are inconsistent. Results show that CWSI and optical indices indicate different plant stress factors. Hence, for proper wetlands condition assessment, still more research is required to properly assess their conditions and its causes.

中文翻译：

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湿地栖息地的热和光学指数，它们是否显示相同的东西？

这项研究的重点是检测自然和半自然河岸湿地生态系统中的植被压力。湿地生态系统在当地和全球范围内发挥着重要作用。只要它们处于良好状态，它们就会提供各种生态系统服务。全球气候变化影响当地环境，其中湿地健康成为干旱状况的指标。持续的不利条件可能会导致这些宝贵的生态系统发生不可逆转的变化。因此，需要开发用于监测这些生态系统的现代方法。在本研究范围内，基于来自两个不同平台（气象塔和 Landsat-8 卫星）的基本气象要素（气温和湿度）和冠层温度，作物水分胁迫指数（CWSI）被提议用于河岸湿地栖息地和湿草甸监测。该研究在上比布扎盆地（波兰东北部）进行。作为第一步，根据气象测量计算 CWSI，并与为周围 Landsat-8 像素计算的 CWSI 进行比较，该像素覆盖的土地利用类型与塔传感器视场中的土地利用类型相同。来自两个传感器的 CWSI 非常一致。在分析的第二步中，根据卫星数据计算了更长时期的 CWSI 和选定的光学指数。如果这些指标指示相同的条件，或者它们的指示不一致，则将这些指标与测试进行比较。结果表明，CWSI 和光学指数表明不同的植物胁迫因子。因此，为了进行适当的湿地状况评估，