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Lake Water Quality 2024-present (raster 300 m), global, 10-daily - version 2

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DataCite Commons2025-04-11 更新2025-04-16 收录
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The Lake Water Quality products provide a semi-continuous observation record for a large number of medium and large-sized lakes, according to the Global Lakes and Wetlands Database (GLWD) or otherwise of specific environmental monitoring interest. 0-daily observations are available in near real time in the spatial resolution of 300m and and with the temporal extent from 2024 to present. Monitoring water quality in lakes and reservoirs is key in maintaining safe water for drinking, bathing, fishing and agriculture and aquaculture activities. Long-term trends and short-term changes are indicators of environmental health and changes in the water catchment area. Directives such as the EU's Water Framework Directive or the US EPA Clean Water Act request information about the ecological status of all lakes larger than 50 ha. Satellite monitoring helps to systematically cover a large number of lakes and reservoirs, reducing needs for monitoring infrastructure (e.g. vessels) and efforts. They consist of three water quality parameters: (i) the turbidity of a lake, that describes water clarity or whether sunlight can penetrate deeper parts of the lake. Turbidity often varies seasonally, both with the discharge of rivers and growth of phytoplankton; (ii) the trophic state index that is an indicator of the productivity of a lake in terms of phytoplankton, and indirectly, over longer time scales, reflects the eutrophication status of a water body and (iii) the lake surface reflectances that describe the apparent colour of the water body and are intended for scientific users interested in further development of algorithms. The visual reflectance bands can also be combined into true-colour images.

创建时间:
2025-04-11
搜集汇总
数据集介绍
Lake Water Quality 2024-present (raster 300 m), global, 10-daily - version 2 数据集图片
背景与挑战
背景概述
该数据集提供全球中型和大型湖泊从2024年至今的近实时水质监测数据,空间分辨率为300米,每10天更新一次。它包含浊度、营养状态指数和湖泊表面反射率三个关键参数,用于评估水体透明度、生产力和富营养化状态,数据基于Sentinel-3卫星观测,支持环境监测和科学研究。
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