Cultural ecosystem services (CES) are important components of urban quality of life. Public participation GIS (PPGIS) is widely used to assess and map these services. However, it is often a time-consuming exercise with which only small spatial and temporal scales can be addressed. Assessments based on geolocated, passively crowdsourced data from social media present new opportunities to assess CES through a large amount of available data and for broad spatial and temporal scales. We assess the potential of these two methods to substitute, supplement or complement each other in terms of the qualitative information they provide (i.e., landscape features of interest and CES). We take as a case study seven green and blue open spaces of the city of Haifa (Israel), each presenting different elements of interest in the landscape and degrees of accessibility. Results indicate that the two methods provide unique results and are complementary in many instances. We discuss the representativeness of the social media data, the strength of the two methods with respect to the qualitative information obtained, the specificities related to the urban context and the instances of complementarity. We suggest that crowdsourced social media data should be included in broad, multi-methodological approaches to CES.

文化生态系统服务（CES）是城市生活质量的重要组成部分。公众参与 GIS (PPGIS) 被广泛用于评估和绘制这些服务。然而，这通常是一项耗时的工作，只能解决很小的空间和时间尺度。基于来自社交媒体的地理定位、被动众包数据的评估为通过大量可用数据和广泛的空间和时间尺度评估 CES 提供了新的机会。我们评估这两种方法在它们提供的定性信息（即感兴趣的景观特征和 CES）方面相互替代、补充或互补的潜力。我们以海法市（以色列）的七个绿色和蓝色开放空间为例，每一个都展示了景观中不同的有趣元素和可达性。结果表明这两种方法提供了独特的结果并且在许多情况下是互补的。我们讨论了社交媒体数据的代表性、两种方法在获得的定性信息方面的优势、与城市环境相关的特殊性和互补性实例。我们建议众包社交媒体数据应包含在 CES 的广泛、多方法方法中。与城市环境和互补性实例相关的特殊性。我们建议众包社交媒体数据应包含在 CES 的广泛、多方法方法中。与城市环境和互补性实例相关的特殊性。我们建议众包社交媒体数据应包含在 CES 的广泛、多方法方法中。