来自Sentinel-2卫星的高分辨率绿色空间动态数据立方体,覆盖全球1028个主要城市
Shengbiao Wu1, Yimeng Song2, Jiafu An3,4
1Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Scientific data
|August 22, 2024
概括
这项研究引入了一个新的数据立方体,捕捉了四年来城市绿色空间的动态. 它揭示了季节性变化和降温效应,这对可持续城市规划至关重要.
科学领域:
- 环境科学 环境科学
- 城市生态城市生态学
- 遥感 遥感 遥感 遥感
背景情况:
- 绿色空间提供了重要的生态和社会经济效益,与可持续发展目标11保持一致.
- 准确的城市绿地绘制对于评估供需至关重要,但季节性变化往往被忽视.
- 现有的城市绿地研究缺乏详细的时空动态,特别是关于季节性波动.
研究的目的:
- 为全球主要城市开发一个高分辨率,动态的绿色空间数据立方体.
- 为了捕捉季节性绿色空间波动及其时空动态.
- 通过使用卫星数据,研究城市绿色空间的冷却效应.
主要方法:
- 利用了 Sentinel-2 卫星图像 (10米分辨率, ~5天重新访问) 从 2019-2022 年.
- 采用了光谱分离方法和时间序列表现学建模.
- 整合Landsat陆地表面温度数据以分析绿地冷却效应.
主要成果:
- 为1028个全球城市生成了四年 (2019-2022),10米分辨率,10天间隔的绿色空间动态数据立方体.
- 成功捕捉了不同类型,城市和气候区的季节性绿色空间动态.
- 证明了反映绿色空间冷却效应的时空空间模式的能力.
结论:
- 开发的数据立方体为城市绿色空间的空间时间动态提供了前所未有的洞察力.
- 本资源支持对城市绿地与人类社会之间复杂相互作用的调查.
- 增强对可持续城市发展和气候变化适应战略的理解.
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