Abstract

Danjiangkou Reservoir serves as the water source of the South-to-North Water Diversion Project. The long-term monitoring of changes of surface water for the reservoir using the remote sensing images is of great significance in ensuring the water transfer volume of the South-to-North Water Diversion. In this study, we used multi-temporal Landsat remote sensing images to obtain a long-time series of spatial surface water datasets for Danjiangkou Reservoir (Henan ) based on Google Earth engine cloud platform through the relationship among modified Normalized Difference Water Index (mNDWI), Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI). This dataset includes the surface water of Danjiangkou Reservoir from 2000 to 2020. It can provide a basis for exploring the spatiotemporal changes of the surface water and ecological environment changes in Danjiangkou Reservoir.

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