科学合理地评价水生态空间健康状况，对于保护水生态系统的核心结构和服务功能具有重要意义。目前，区域水生态空间的综合性评价研究较少，且评价指标体系存在指标类型单一、受限于地面观测等问题。因此，本研究基于遥感视角，构建了全方位涵盖生态空间物理结构、水文水质要素、陆域岸线植被要素的北京市水生态空间健康评价指标体系。同时，综合层次分析法与熵权法开展主客观结合的指标赋权，创建了水生态空间健康遥感评价体系，并基于综合评价指数将水生态空间分为健康、良好、一般、较差四个等级。本研究以北京市永定河、潮白河、昆明湖、密云水库等十个典型水体为例，开展了综合性的水生态空间健康评价，结果表明：（1）评价体系能够合理评价水生态空间健康状况，其中水文水质要素对水生态空间健康影响最大，陆域岸线植被要素次之，生态空间物理结构影响最小；（2）北京市十个典型水体中，永定河、圆明园湖的水生态空间健康评价等级为良好，其余水体为健康，建议未来对永定河、圆明园湖开展针对性的生态修复。

(Objective) Water is the source of life, and its ecological problems have been widely concerned. The emergence of water ecological problems is not only related to the water body itself, but also closely related to the structure and function of ecosystem. Therefore, to evaluate and alleviate water ecological problems, it is necessary to systematically consider the status of ecological storeroom of water from the perspective of whole ecosystem. Water ecological space is a variety of ecological spaces that includes water space such as rivers and lakes, shoreline space connecting water and land, and land space closely related to water resources protection, which can reflect the overall situation of ecosystem related to water. Therefore, assessing the health condition of water ecological space is of great significance for preserving the core structure and functions of water ecosystem. However, there is a lack of studies on the comprehensive assessment of water ecological space, and the related assessment index systems are subject to ground observations and limited indicator categories. Therefore, the objective of this study is to develop a comprehensive water ecological space health assessment framework based on remote sensing for Beijing. (Method) The proposed framework consists of eleven assessment indicators covering the physical structure of ecological space, the hydrology and water quality condition, and the vegetation factors on land, which are extracted from remote sensing data with high spatial resolution. A water ecological space health index (WESHI) is established by integrating the eleven indicators with weights assigned by the combination of analytical hierarchy process (subjectivity) and entropy weighting method (objectivity). The states of water ecological spaces are divided into four levels (healthy, good, moderate, poor) based on WESHI. Then, ten typical water bodies in Beijing, including sources of surface water, landscape lakes, and rivers flowing through suburbs or urban areas, are selected as examples to apply the proposed comprehensive water ecological space health assessment framework. (Result) The weights of the assessment indicators demonstrate that the hydrology and water quality factors are the dominant drivers for the health of water ecological space, followed by the vegetation factors on land, while the physical structure of ecological space has least impact. The assessment results of the selected ten water ecological spaces in Beijing indicate: Tang River and Yongding River obtains the highest and lowest WESHI among rivers respectively; The WESHI of Kunming Lake is slightly better than that of the Yuanmingyuan Lake; Miyun Reservoir has a higher WESHI than Huairou Reservoir. Among the ten typical water bodies in Beijing, the water ecological spaces of Yongding River and Yuanmingyuan Lake are in good status, and the others are all at the healthy level. These results are consistent with the actual situations. (Conclusion) The proposed assessment framework can reasonably evaluate the health status of water ecological space in Beijing. Compared with the traditional methods that relies on manual investigation, the proposed assessment framework based on remote sensing can assess the health status of water ecological space more quickly, comprehensively and objectively. Moreover, based on the assessment results, targeted ecological restoration is recommended for Yongding River and Yuanmingyuan Lake in future efforts.