一个高分辨率的全球年度城市和城镇边界数据集 (2000-2022年) 来自GLC_FCS30D产品
Ming Bai1,2, Xiao Zhang3,4, Weitao Ai1,2
1College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China.
Scientific data
|December 4, 2025
概括
本研究介绍了全球城市和城镇边界 (GCTB) 数据集,使用不透水表面和人口数据绘制城市范围. 全球城市化指标数据集准确地区分了城市和小镇,有助于全球城市化研究.
科学领域:
- 地理信息科学 地理信息科学
- 遥感 遥感 遥感 遥感
- 城市研究 城市研究
背景情况:
- 城市边界对于理解人类定居点动态至关重要.
- 现有的数据集很难区分低密度地区,并纳入人口分布.
- 准确的城市范围测绘对于可持续发展规划至关重要.
研究的目的:
- 开发一种用于绘制年度全球城市和城镇边界的新方法.
- 创建30米分辨率的全球城市和城镇边界 (GCTB) 数据集.
- 通过整合不透水表面和人口数据来提高城市范围划分的准确性.
主要方法:
- 开发了一种双值方法,整合了不透的表面密度和人口数据.
- 利用核心密度估计和蜂自动机用于全球城市边界生成.
- 使用人口门区分城市和乡镇,创建GCTB数据集 (2000-2022).
主要成果:
- 在GCTB数据集显示强烈一致与城市扩张图谱数据集 (R2 > 0.88).
- 城市/城镇分类使用OpenStreetMap数据实现了高精度 (0.80为城市,0.65为城镇).
- 该数据集为2000-2022年提供了准确的30米分辨率的年度城市边界.
结论:
- 全球城市边界测试数据集为绘制全球城市边界的地图提供了重大进展.
- 它为全球城市化和可持续发展规划提供了必要的空间信息.
- 无透面积和人口数据的整合提高了城市范围划分的准确性.
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