美国城市长期可持续发展的卫星图像数据集
Yanxin Xi1, Yu Liu2,3, Tong Li2,3
1Department of Computer Science, University of Helsinki, Helsinki, Finland.
Scientific data
|December 4, 2023
概括
一个新的数据集使用卫星图像和深度学习来跟踪美国100个城市的五个可持续发展目标 (SDGs) 的25个指标. 该资源支持城市政策和可持续发展监测的研究.
科学领域:
- 城市科学 城市科学
- 遥感 遥感 遥感 遥感
- 数据科学数据科学数据科学
背景情况:
- 城市对于实现可持续发展目标至关重要.
- 卫星图像为监测城市发展提供了潜力,但缺乏全面的美国数据集.
- 现有的数据缺口阻碍了美国城市的多规模,长期可持续发展目标分析.
研究的目的:
- 为美国城市的SDG监测开发一个全面的卫星图像数据集.
- 用先进的数据分析来支持可持续城市发展的研究.
- 为政策制定者和专注于城市可持续发展目标的研究人员提供资源.
主要方法:
- 利用卫星图像上的深度学习模型,包括对象检测和语义细分.
- 收集和整合人口,夜间照明,调查和建筑环境数据.
- 专注于2014-2023年美国人口最多的100个城市和人口普查区组.
主要成果:
- 创建了一个新型数据集,涵盖五个可持续发展目标和25个指标.
- 通过使用卫星数据从鸟视角观测城市环境.
- 整合了多种数据源,以描绘各种SDG方面,如贫困,健康和生活环境.
结论:
- 开发的数据集解决了对美国城市SDG监测的关键需求.
- 促进城市可持续性的长期和多层面分析.
- 赋予城市政策制定者和研究人员可持续发展的先进工具.
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