Large street trees in San Francisco Bay Area 2005 - 2022

This dataset includes large urban street trees detected in National Agriculture Imagery Program (NAIP) aerial imagery from 2005 to 2022 across approximately 1,100 cities in the San Francisco Bay Area. Using deep learning algorithms, we identified trees with canopy diameters greater than seven meters, a size threshold that highlights their importance for providing critical ecosystem services, such as improved air quality, urban cooling, and enhanced mental well-being. The dataset enables spatiotemporal analyses of tree canopy change at neighborhood, city, and county levels over an 18-year period, revealing patterns and disparities in access to urban greenery. These data support research on environmental justice, urban planning, and the role of green infrastructure in rapidly urbanizing regions.本数据集涵盖2005至2022年期间，在旧金山湾区约1100座城市的美国国家农业影像计划（National Agriculture Imagery Program，NAIP）航拍影像中检测得到的大型城区行道树。研究团队借助深度学习算法，识别出冠幅大于7米的行道树；该尺寸阈值旨在凸显此类树木在提供关键生态系统服务时的重要价值，具体包括改善空气质量、缓解城市热岛效应以及提升公众心理健康福祉。本数据集支持在18年的时间跨度内，于社区、城市及县域尺度开展树冠覆盖变化的时空分析，进而揭示城区绿地可达性的分布格局与公平性差异。这些数据可为环境正义、城市规划，以及快速城市化区域中绿色基础设施的作用相关研究提供支撑。