Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-1141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018
Department of Geography, University of California, Los Angeles, Los
Angeles, CA, USA
Nina Noujdina
Department of Geography, University of California, Los Angeles, Los
Angeles, CA, USA
Samantha Yeo
Department of Geography, University of California, Los Angeles, Los
Angeles, CA, USA
Martina Ricko
2 KBR at NASA Goddard Space Flight Center, Greenbelt, MD, USA
Charon M. Birkett
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Ankush Khandelwal
Department of Computer Science and Engineering, University of
Minnesota, Minneapolis, MN, USA
Vipin Kumar
Department of Computer Science and Engineering, University of
Minnesota, Minneapolis, MN, USA
Miriam E. Marlier
Department of Environmental Health Sciences, University of California, Los Angeles, Los Angeles, CA, USA
Dennis P. Lettenmaier
Department of Geography, University of California, Los Angeles, Los
Angeles, CA, USA
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Latest update: 19 May 2025
Short summary
We present a global collection of satellite-derived time series of surface water volume changes for 347 lakes and reservoirs for 1992–2018. These changes were estimated using a statistical relationship between water surface elevation and area measured from satellite, even during periods when either elevation or area was not available. These records represent the most complete global surface water time series, and they are of fundamental importance to baseline future satellite missions.
We present a global collection of satellite-derived time series of surface water volume changes...
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