通过2米/30米数据融合,为中国 (2020年,2022年) 增强30米不透表面
Ranyu Yin1, Guojin He2,3,4, Guizhou Wang1,5,6
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Scientific data
|January 24, 2026
概括
我们为2020年和2022年创建了中国无透表面覆盖 (CISC) 数据集,为中国提供30米分辨率的无透表面数据. 这种宝贵的资源支持城市分析和环境监测.
科学领域:
- 地球观测 地球观测
- 地理空间科学 地理空间科学
- 环境科学 环境科学
背景情况:
- 不透的表面是城市化和环境变化的关键指标.
- 在城市规划和环境监测中,对不透气表面的准确,高分辨率的数据至关重要.
- 现有的数据集可能缺乏在中国进行详细分析所需的空间分辨率或时间覆盖.
研究的目的:
- 为了生成和发布2020年和2022年的中国无透表面覆盖 (CISC) 数据集.
- 为中国大陆和邻近地区提供可靠,空间明确的30米分辨率的无透表面信息.
- 支持各种应用,如城市动态分析,环境监测和区域规划.
主要方法:
- 采用了一个区域适应的深度学习策略.
- 集成高分辨率 (2米) 卫星图像,Landsat年复合图和SRTM海拔数据.
- 使用引导分层抽样和专家视觉解释生成高质量的培训和验证样本.
主要成果:
- 中国无透表面覆盖数据集 (CISC2020,CISC2022) 在30米空间分辨率下成功生成.
- 精度评估证实了整体精度高,空间平均F1得分>0.93对于不透气的表面类别.
- 这些数据集以云优化GeoTIFF (COG) 形式在Albers投影中提供.
结论:
- 对于中国而言,CISC数据集提供了一种可靠且空间明确的无地表信息来源.
- 这些数据适用于详细分析城市扩张及其对环境的影响.
- 这些数据集将促进中国各地城市和环境研究的研究和实际应用.
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