Interdisciplinary research has significantly advanced Urban Green Space (UGS) measurement by employing objective methods tailored to diverse research objectives. Despite this progress, the varied development of UGS measurement techniques calls for a comprehensive review to integrate and evaluate these approaches. This narrative review examines constructs underlying UGS measurements, emphasizing objective and GIS-enabled datasets, and highlights recent advancements in measuring greenness visibility. Specifically, it focuses on two methods: the viewshed-based and the image segmentation-based methods, proposing their classification under "Perspective View." Our findings reveal a shift in UGS measurement focus, moving beyond simple quantification to incorporate visibility, accessibility, and availability dimensions. Moreover, this review demonstrates the growing relevance of hybrid techniques integrating quantitative and qualitative approaches, such as combining GPS data with visibility analyses. These techniques bridge the gap between physical and perceptual aspects of greenspaces, enhancing their applicability in urban planning and public health. Furthermore, advancements in computational tools, including AI-driven methods, now enable high-resolution visibility measurements on a city-wide scale, supporting epidemiological research and urban development. These insights aim to guide researchers and practitioners in selecting suitable methodologies and datasets, fostering the collection of diverse UGS data for practical management and policymaking. By providing a structured framework for UGS measurement, this review contributes to the development of more equitable and effective urban greenspace strategies.