GEDTM30:全球整体数字地形模型在30米和衍生多尺度地形变量
Yu-Feng Ho1, Carlos H Grohmann2, John Lindsay3
1OpenGeoHub, Doorwerth, Gelderland, Netherlands.
PeerJ
|July 28, 2025
概括
一个新的开放式全球整体数字地形模型 (GEDTM30) 提供了更好的准确性,特别是在植被和建筑区域. 这种先进的数字地形模型 (DTM) 为各种应用提供了增强的分辨率和衍生变量.
科学领域:
- 地质科学 地质科学
- 遥感 遥感 遥感 遥感
- 地理学就是地质学.
背景情况:
- 全球数字地形模型 (DTM) 对各种地球科学应用至关重要.
- 现有的DTM经常面临各种景观的精度,分辨率和一致性方面的限制.
- 需要融合多个数据源和先进的建模技术来克服这些局限性.
研究的目的:
- 制作和验证一个开放的全球整体数字地形模型 (GEDTM30) 在~30米的空间分辨率.
- 在多个尺度上推导出标准地形和水文变量.
- 通过创新的转移学习框架,确保全球一致性和本地准确性.
主要方法:
- 哥白尼 DEM,ALOS World3D和对象高度模型的数据融合用于DTM生成.
- 一个全球到本地转移学习模型,利用广泛的激光雷达数据集 (ICESat-2,GEDI) 进行验证和改进.
- 使用Equi7网格系统进行优化工工作流程,用于生成多尺度地形和水文变量.
主要成果:
- 与哥白尼DEM相比,GEDTM30在建筑和植被地区显著减少了RMSE.
- 与最先进的DTM (MERIT DEM,FABDEM,FathomDEM) 相比,当与GNSS数据进行验证时,GEDTM30可以实现更高的垂直精度.
- 基于的工作流确保了计算效率,没有边界工件,并保护了水文连接.
结论:
- 该GEDTM30数据集提供了一个全球一致和局部准确的DTM,在~30m分辨率下衍生变量.
- 开发的转移学习和式方法为DTM生产和分析提供了可扩展的解决方案.
- 公共可用性GEDTM30和相关代码促进了地球表面建模和地理空间研究的进步.
关键词:
数据融合数据融合数字升高模型的数字升高模型数字地形模型是数字地形模型.地质形态测量 (Geomorphometry) 是一种地质形态测量的方法.水文学的水文学机器学习是机器学习.开放数据是开放的数据.地形变量是地形的变量.地形学地形学地形学地形学转移学习转移学习更多相关视频
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