Retrieving water volume changes of shallow inland lakes with dense time-series Sentinel-2 and ICESat-2 data

doi:10.11947/j.AGCS.2023.20220602

Abstract

Abstract: The inland endorheic lakes in arid regions have shallow-flat basins and complex shorelines, which makes it hard to retrieve high-accuracy water volume changes through traditional 'water level-area curve’ methods. In this paper, a method is proposed to retrieve basin topography and reconstruct time-series water volumes for shallow-flat inland lakes based on multi-temporal ICESat-2 and Sentinel-2 data. Firstly, all the multi-temporal ICESat-2 photons inside the non-water areas of the lake basin were selected and their elevations were retrieved. Secondly, the multi-temporal lake boundaries were delineated from the Sentinel-2 images, and their elevations were interpolated by these ICESat-2 points due to the fact that a lake water boundary is equivalent to a contour line. Finally, the lake basin topography was retrieved based on these densified ICESat-2 photon altimetric points, and the time-series lake volumes were reconstructed according to the basin DEM and time-series lake area extents. The method was tested by the Taitema Lake which is the terminal lake of the Tarim river, and about 132 scenes of Sentinel-2 satellite remote sensing images and 28 phases of ICESat-2 laser beam data were used to reconstructed water volume changes from 2016 to 2022. The result showed that the RMSE error of the lake DEM is 0.103 m, which can provide a way of time series reconstruction of shallow-flat lakes in un-gauged basins.

Key words: lake basin topography, inland lake, water volume, time-series reconstruction, ICESat-2

CLC Number:

P227

WU Haoru, LI Junli, BAO Anming, ZHANG Jiudan, MA Yinglian. Retrieving water volume changes of shallow inland lakes with dense time-series Sentinel-2 and ICESat-2 data[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(12): 2078-2088.

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