Land, Год журнала: 2024, Номер 13(6), С. 884 - 884

Опубликована: Июнь 18, 2024

The visual attributes of urban green spaces influence people’s perceptions, preferences, and behavioural activities. While many studies have established correlations between landscape perception attributes, they often focus on specific timeframes overlook dynamic changes in the spatial form spaces. This study aims to explore long-term We propose a method quantitatively analyse using point clouds simulate interfaces. Using an unmanned aerial vehicle, we conducted five-axis tilt photography survey Qinglvyuan Park Nanjing, China, August 2018 September 2023. Point cloud models were generated for two periods, five attribute indicators, openness (OP), depth variance (DV), view ratio (GVR), sky (SVR), skyline complexity (SC), analysed changes. results indicate that OP, DV, SVR decreased after years, while GVR increased. maximum increase was 26.6%, decrease OP 12.8%. There is positive correlation its change (d_GVR). Conversely, there are negative SC (d_SC), as well d_GVR. Tree growth emerged primary factor influencing highlights importance adopting perspective studies, design maintenance practices. Future research predicting should understanding relationships tree properties environmental conditions.

Язык: Английский