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Abstract:
There are a large number of lakes and reservoirs in the Yangtze River Basin (YRB), surface water change is of great scientific and practical significance for climate change and water resources management. Here the multi-source remote sensing (including: Landsat, Sentinel-2, SRTM DEM, satellite gravity and satellite altimetry observations) and ground-based hydrological observations are used to construct a long-term (1990-2021) and high-resolution (>10km2) water area, level and storage variation datasets for lakes and reservoirs over YRB, mainly including: 1) Four surface water area results from Landsat, Global Surface Water, Sentinel-2 and DAHITI are compared to determine the best area dataset. 2) a dataset of the lakes and reservoirs water level and volume changes are determined in combination with SRTM DEM, and the results show that this method an effective alternative way to compensate for the inability of GRACE over a small-scale basin. 3) The spatiotemporal change of lakes and reservoirs in YRB are also quantified. Results show an overall increase with the surface water storage in YRB during 2000 to 2021, which the area expanded by 1134 km2 and the surface water storage increased by 12.61 Gt. Additionally, the Taihu Lake, Poyang Lake and Dongting Lake play a dominant role in the surface water change over YRB. The lakes and reservoirs dataset constructed in this paper can provide data support for water resources management, and the construction method can provide technical support for the study of global surface water changes.
