全球城市和农村定居点数据集2000年至2020年
Zhitao Liu1,2, Sheng Huang2,3, Chuanglin Fang4,5
1Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|December 18, 2024
概括
本研究介绍了全球城市和农村定居点 (GURS) 数据集,这是第一个区分城市和农村地区的全球100米分辨率地图. GURS提供了了解定居点动态和影响的关键数据.
科学领域:
- 地球和环境科学 地球和环境科学
- 地理信息系统 (GIS) 是一个地理信息系统.
- 遥感 遥感 遥感 遥感
背景情况:
- 准确的全球定居地图绘制对于了解城乡扩张模式和生态后果至关重要.
- 现有的全球数据集主要集中在城市地区,忽视了农村定居点的关键划分.
- 需要全面的数据集来区分城市和农村定居点进行比较研究.
研究的目的:
- 开发一个新的框架,用动态值来划分城市和农村定居点.
- 构建2000年至2020年城市和农村定居点的第一个全球100米分辨率数据集 (GURS).
- 为城市和农村动态及其影响进行比较分析提供有价值的资源.
主要方法:
- 开发了一个框架,利用基于定居点区域和夜间灯光亮度的动态值.
- 集成多个数据源:GHS-BUILT-S R2023A,类似NPP-VIIRS的夜间照明,以及OpenStreetMap的数据.
- 构建了2000-2020年期间100米分辨率的全球城乡定居点 (GURS) 数据集.
主要成果:
- 在100米分辨率下,GURS数据集成功地划分了全球城市和农村定居点.
- 使用44474个独立样本进行的准确性评估,总体准确率为91.22%,kappa系数为0.85.
- 在结算划界方面,GURS的表现优于其他九个多尺度参考数据集.
结论:
- GURS数据集是全球定居点研究的重大进步,在区分城市和农村地区方面提供了前所未有的细节.
- 这一数据集可以对城市与农村环境中的社会经济因素,环境影响和治理策略进行深入的比较研究.
- 通过提供对其独特特征和演变的关键见解,GURS支持加强全球定居点的可持续管理.
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