A Global Lakes/Reservoirs Surface Extent Dataset (GLRSED): An integration of multi source data

Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed lakes and permafrost-fed lakes, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater availability, etc.

全球湖泊/水库水面范围是诸多研究的基础输入数据。尽管目前已有相关数据集，但受数据源差异、地表水动态变化特征等多种因素影响，现有数据集仍存在信息不全、空间不一致等问题。本研究基于HydroLAKES、GRanD及OpenStreetMap数据，构建了全新的全球湖泊/水库水面范围数据集（Global Lake/Reservoir Surface Extent Dataset，GLRSED），该数据集涵盖217万个湖泊/水库的空间范围及名称、面积、湖泊类型、数据来源等基础属性信息。通过将GLRSED与其他辅助数据进行空间叠加分析，本研究识别了山地湖泊、内流湖、水库、冰川补给湖泊及冻土补给湖泊等类型。此外，本研究还计算了每条经过各湖泊的地表水与海洋地形（Surface Water and Ocean Topography，SWOT）卫星轨道数据。该数据集可为全球湖泊/水库监测、人类活动与气候变化对湖泊/水库淡水储量的影响研究等提供基础数据支撑。