Tropical and Sub-Tropical Flood and Water Masks

10 m spatial resolution flood and water masks that can be used to develop machine learning models to classify flooding in satellite images.

The flood and water masks are generated by combining various datasets including the ESA WorldCover 10m v100 and vector flood and water layers from the Copernicus Emergency Management System (EMS) Rapid Mapping Activation events.

In total, 513 flood and water mask layers were generated as GeoTIFF files with a 10 m spatial resolution. Each of these layers corresponds to a flood event and date (there can be many flood mask layers per-event which represent flooding on different days as the event evolves). Flood and water masks were generated for 65 flood events since 2018 in 26 countries spanning the tropics and sub-tropics. This broad scale dataset can be used to train flood detection models, that can detect and segment flooding in satellite images, and be fine-tuned for Pacific geographic contexts.

本数据集提供空间分辨率为10米的洪水与水体掩膜（mask）数据，可用于研发机器学习模型以分类卫星影像中的洪水场景。
此类洪水与水体掩膜通过整合多源数据集生成，涵盖ESA WorldCover 10m v100数据集，以及来自哥白尼应急管理系统（Copernicus Emergency Management System, EMS）快速制图响应事件的矢量洪水与水体图层。
本次共生成513份空间分辨率为10米的GeoTIFF格式洪水与水体掩膜图层。每份图层对应一场洪水事件及其观测日期，单场洪水事件可对应多份掩膜图层，用以表征该事件演化过程中不同日期的洪水分布范围。
数据集覆盖2018年以来全球热带与亚热带地区26个国家的65场洪水事件，并为所有事件生成了对应的洪水与水体掩膜数据。
该大规模数据集可用于训练洪水检测模型，实现卫星影像中洪水区域的检测与分割任务，同时可针对太平洋区域的地理场景进行微调适配。