基于百度街景数据的街道绿视率研究 ——以兰州城关区十二条街道为例
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国家林业和草原局专项“甘肃景泰白墩子盐沼国家湿地公园生态监测”(编号:03723169)


Research on Street Green Sight Rate Based on Baidu Street View Data: Taking the Twelve Streets in Chengguan District, Lanzhou as an Example
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    摘要:

    街道绿视率作为观察道路绿化环境的直观指标,代表从行人的视角所看到的绿化景观水平,是近年来研究道路绿化品质的重要指标之一。通过应用技术先进的百度街景数据,结合创新性的深度学习方法,提取兰州市城关区部分街道绿视率,深入解析街道绿化品质的关键元素,评估街道绿化水平,并提出相关发展建议。研究表明:百度街景中植被要素比例可以一定程度反映居民真实视角的街道绿化情况;针对兰州市城关区域内的12段街道,其绿视率水平总体表现较好;街道绿视率与行道树冠幅之间呈强正相关性,与树高呈正相关,与树间间距呈负相关,与种植层次呈显著正相关。旨在为街道绿视率拓展新的数据来源,为精准提高城关区道路绿化品质提供量化支持,有助于科学决策并进一步推动园林绿化建设的精细化发展。

    Abstract:

    As an intuitive indicator for observing the green environment of roads, street green visibility represents the level of green landscape seen from the perspective of pedestrians, and it is one of the most critical indicators for studying the quality of road greening in recent years. This study extracts the green visibility of some streets in Chengguan District, Lanzhou City, by applying technologically advanced Baidu street view data, combined with innovative deep learning methods, to deeply analyze the key elements of street greening quality, assess the level of street greening, and put forward relevant development suggestions. The study shows that the proportion of vegetation elements in Baidu street view pictures can reflect the perception of street greenness from the pedestrians’ point of view to a certain extent; the level of street greenness in the 12 streets within the study area of Chengguan District, Lanzhou City, is generally better; street greenness has a strong positive correlation with the crown width of street trees, a positive correlation with the height of the tree, a negative correlation with the spacing between the trees, and a significant positive correlation with the level of planting. This study expands new data sources for street green visibility, provides quantitative support for accurately improving the greening quality of roads in Chengguan District, contributes to scientific decision-making, and further promotes the refinement of landscaping construction.

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  • 在线发布日期: 2025-01-24
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