Supraglacial lake bathymetry automatically derived  from ICESat-2 constraining lake depth estimates  from multi-source satellite imagery

Datta, Rajashree Tri; Wouters, Bert

doi:https://doi.org/10.5194/tc-15-5115-2021

Articles | Volume 15, issue 11

https://doi.org/10.5194/tc-15-5115-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-15-5115-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 11

Research article

|

12 Nov 2021

Research article |

| 12 Nov 2021

Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery

Rajashree Tri Datta and Bert Wouters

Supplement

https://doi.org/10.5194/tc-15-5115-2021-supplement

Data sets

ATLAS/ICESat-2 L2A Global Geolocated Photon Data, Version 4 [Indicate subset used] T. A. Neumann, A. Brenner, D. Hancock, J. Robbins, J. Saba, K. Harbeck, A. Gibbons, J. Lee, S. B. Luthcke, T. Rebold, et al. https://doi.org/10.5067/ATLAS/ATL03.003

Model code and software

Source code for the Watta algorithm, version 1 R. Datta and B. Wouters https://doi.org/10.5281/zenodo.5655860

Short summary

The ICESat-2 laser altimeter can detect the surface and bottom of a supraglacial lake. We introduce the Watta algorithm, automatically calculating lake surface, corrected bottom, and (sub-)surface ice at high resolution adapting to signal strength. ICESat-2 depths constrain full lake depths of 46 lakes over Jakobshavn glacier using multiple sources of imagery, including very high-resolution Planet imagery, used for the first time to extract supraglacial lake depths empirically using ICESat-2.