不断发展的城市景观:来自中国卫星图像的建筑足迹和高度数据集
Sebastiano Papini1, Susie Xi Rao2,3, Peter H Egger2,4,5,6
1Chair of Applied Economics, ETH Zurich, Leonhardstrasse 21, Zurich, 8092, Switzerland. spapini@ethz.ch.
Scientific data
|October 23, 2025
概括
研究人员开发了一种新方法,利用卫星图像的计算机视觉创建了106个中国城市的详细建筑体积数据. 这有助于推进城市密度测量和理解空间聚合动态.
科学领域:
- 城市研究 城市研究
- 遥感 遥感 遥感 遥感
- 计算机视觉 计算机视觉
- 地理空间分析的研究.
背景情况:
- 传统的城市研究缺乏高分辨率,大规模和纵向数据.
- 了解城市变化驱动因素,如空间聚合,需要全面的数据.
- 现有的遥感数据,如夜光亮度,在测量城市密度方面存在局限性.
研究的目的:
- 通过使用卫星图像生成详细的建筑体积数据的新方法.
- 通过结合高分辨率,大规模和纵向方面来克服现有的城市数据的局限性.
- 改进城市密度的测量,帮助研究空间聚合.
主要方法:
- 在"哨兵卫星"卫星图像上利用计算机视觉技术.
- 从2018年到2023年为中国106个城市生成建筑体积数据.
- 使用样本外城市验证模型,并与夜光亮度数据进行比较.
主要成果:
- 在6年时间里,成功地在多个中国城市生成了详细的建筑体积数据.
- 与夜光亮度数据相比,在城市密度测量方面显著改善.
- 通过样本外评估验证了模型的准确性.
结论:
- 拟议的计算机视觉方法为城市研究提供了一个强大的新工具.
- 生成的建筑体积数据集增强了对城市动态和空间聚集的研究.
- 研究人员可以访问用于社会科学应用的大型卫星图像档案.
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