EuroFlood：用于欧洲哥白尼紧急管理服务卫星衍生洪水深度档案的Python库和可查询索引
EuroFlood: A queryable index for satellite-derived flood depths in Europe
- Princeton University（普林斯顿大学）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
针对哥白尼紧急管理服务洪水深度档案查询不便的问题，提出EuroFlood开源Python库及可查询索引，通过记录网格单元淹没事件等方式，实现高效查询，还能进行多种演示。
中文摘要 AI 辅助
卫星衍生的洪水深度观测有助于洪水模型验证和影响评估，但哥白尼紧急管理服务的洪水深度地图这一唯一开放的大陆尺度此类观测档案，以数千个光栅文件形式分发，其唯一空间元数据是每个文件名中编码的坐标。本文介绍了EuroFlood，一个开源Python库和已发布的空间索引，使该档案可查询。索引记录每个网格单元被哪些事件淹没，能从档案体积的一小部分回答发现、复发和足迹查询，深度光栅按需检索。它在其网格上无损再现存档事件足迹，与独立洪水影响数据库的完整性审计表明，大多数记录的洪水与存档事件同时发生。演示包括大陆复发映射、观测与模拟洪水范围比较以及基于事件的暴露评估。
英文摘要
Satellite-derived observations of flood water depth support flood model validation and impact assessment, yet the only open continental-scale archive of such observations, the flood-depth maps of the Copernicus Emergency Management Service, is distributed as several thousand raster files whose sole spatial metadata is a coordinate encoded in each filename. This paper presents EuroFlood, an open-source Python library and a published spatial index that make the archive queryable. The index records which archived events inundated each grid cell, enabling event discovery, footprint reconstruction, and recurrence analysis directly from the index, while high-resolution depth rasters are retrieved only when needed. It reproduces the archived event footprints losslessly at its grid. A region-level corroboration audit against an independent flood-impact database shows stronger agreement for river floods, while results for flash floods are less conclusive. Applications demonstrate continental recurrence mapping, comparison of observed with modelled flood extents, and event-based exposure assessment.
