Urban green spaces (UGS) play a critical role in enhancing urban livability, moderating microclimates, and supporting ecological balance. This study models actual evapotranspiration (ETa) in Vienna's UGS using high-resolution climate data and Sentinel-2 imagery. The primary objective is to adapt crop coefficients (Kc) for urban environments and provide a comprehensive understanding of UGS water dynamics, essential for sustainable urban planning and water management. By integrating satellite imagery with detailed climate data, this research adapts Kc values and measures ETa, incorporating the Standardized Precipitation Evapotranspiration Index (SPEI) to account for water availability. The study reveals significant variations in ETa rates influenced by vegetation type and seasonal changes, demonstrating the importance of considering water availability in ETa modeling. This research offers a robust framework for assessing and managing water dynamics in UGS, combining meteorological data with remote sensing methodology. The developed approach is straightforward and adaptable, allowing for replication in other cities and facilitating retrospective analyses. This insight is valuable for evaluating the impact of urban planning measures on water dynamics and highlights the potential of remote sensing technologies in delivering reliable ETa estimates crucial for the ecological resilience of urban vegetation.

中文翻译：

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基于遥感的城市绿地蒸散建模：以维也纳为例


城市绿地 （UGS） 在提高城市宜居性、调节小气候和支持生态平衡方面发挥着关键作用。本研究使用高分辨率气候数据和 Sentinel-2 影像对维也纳 UGS 的实际蒸散 （ETa） 进行建模。主要目标是根据城市环境调整作物系数 （Kc），并全面了解城市 UGS 水动态，这对于可持续城市规划和水资源管理至关重要。通过将卫星图像与详细的气候数据相结合，本研究调整了 Kc 值并测量了 ETa，并结合了标准化降水蒸散指数 （SPEI） 来考虑水的可用性。该研究揭示了受植被类型和季节变化影响的 ETa 速率的显著变化，证明了在 ETa 建模中考虑水可用性的重要性。这项研究将气象数据与遥感方法相结合，为评估和管理 UGS 中的水动力学提供了一个强大的框架。开发的方法简单明了且适应性强，允许在其他城市复制并促进回顾性分析。这种洞察力对于评估城市规划措施对水动力学的影响很有价值，并强调了遥感技术在提供可靠的 ETa 估计方面的潜力，这对城市植被的生态恢复力至关重要。