Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery

Dongyu Zhu, Chunxia Zhou, Yikai Zhu, Tao Wang, Ce Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Change of supraglacial lakes (SGLs) is an important hydrological activity on the Greenland ice sheet (GrIS), and storage and drainage of SGLs occur throughout the year. However, current studies tend to split SGL changes into melt/non-melt seasons, ignoring the effect of buried lakes in the exploration of drainage, and the existing threshold-based approach to SGL extraction in a synthetic aperture radar (SAR) is influenced by the choice of the study area mask. In this study, a new method (Otsu–Canny–Otsu (OCO)), which accesses the features of SGLs on optical and SAR images objectively, is proposed for full-year SGL extraction with Google Earth Engine (GEE). The SGLs on the Petermann Glacier were monitored well by OCO throughout 2021, including buried lakes and more detailed rapid drainage events. Some SGLs’ extent varied minimally in a year (area varying by 10–25%) while some had very rapid drainage (a rapid drainage event from July 26 to 30). The SGL extraction results were influenced by factors such as the mode of polarization, the surface environment, and the depth of the lake. The OCO method can provide a more comprehensive analysis for SGL changes throughout the year.
Original languageEnglish
Article number5726
Number of pages16
JournalRemote Sensing
Volume15
Issue number24
DOIs
Publication statusPublished - 14 Dec 2023

Bibliographical note

Funding Information:
This work was supported by the Natural Environment Research Council (grant number NE/T004002/1) and was partially funded by the National Key Research and Development Program of China (2021YFC2803303) and the National Natural Science Foundation of China (NSFC) (42171133, 41776200).

Publisher Copyright:
© 2023 by the authors.

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