一个5m数据集的数字地形模型衍生品在整个法国大陆法国
Léa Panhelleux1, Sébastien Rapinel1, Blandine Lemercier2
1LETG UMR 6554, University of Rennes - CNRS, place du recteur Henri Le Moal, Rennes, 35000, France.
Data in brief
|July 17, 2023
概括
通过使用数字地形模型衍生品创建了法国的新高分辨率数据集. 这包括地形湿度指数,地形位置和与运河网络的垂直距离,有助于环境和水文研究.
科学领域:
- 地质科学 地质科学
- 水文学的水文学
- 环境科学 环境科学
背景情况:
- 数字地形模型 (DTM) 对于了解景观特征至关重要.
- 高分辨率的地形数据可以进行详细的地形学和水文学分析.
- 现有的数据集可能缺乏特定环境应用所需的细度分辨率.
研究的目的:
- 为了制作一个全新的,高分辨率 (5米) DTM衍生品在法国大陆的数据集.
- 用地形湿度指数 (TWI) 描述潜在的土壤湿度.
- 用多尺度地形位置色彩复合 (MTPCC) 来描述多个尺度的像素位置.
- 使用垂直距离到通道网络指数 (VDCNI) 来量化水道的近距离.
主要方法:
- 从法国国家空中DTM (分辨率为5米) 导出三个光层.
- 整合国家水文数据库的道网络矢量层.
- 基于贡献面积和当地斜率计算TWI.
- 在三个空间尺度上生成MTPCC.
- 计算VDCNI相对于最近的通道网络.
主要成果:
- 一个全面的5米分辨率数据集的TWI,MTPCC和VDCNI对法国大陆.
- 该数据集提供了前所未有的细度拓信息.
- 这些指数提供了对景观特征和水文过程的详细见解.
结论:
- 新的微尺度DTM衍生数据集增强了地形分析能力.
- 这一数据集对于环境建模,风险评估和水资源管理具有价值.
- 数据的高分辨率和全面性质支持先进的空间分析.
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