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Article

Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series

1
Institute of Geography, Friedrich-Alexander University Erlangen-Nürnberg, 91058 Erlangen, Germany
2
Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute, 27570 Bremerhaven, Germany
3
Department of Geosciences, University of Bremen, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(2), 205; https://doi.org/10.3390/rs13020205
Received: 7 December 2020 / Revised: 31 December 2020 / Accepted: 1 January 2021 / Published: 8 January 2021
The usability of multispectral satellite data for detecting and monitoring supraglacial meltwater ponds has been demonstrated for western Greenland. For a multitemporal analysis of large regions or entire Greenland, largely automated processing routines are required. Here, we present a sequence of algorithms that allow for an automated Sentinel-2 data search, download, processing, and generation of a consistent and dense melt pond area time-series based on open-source software. We test our approach for a ~82,000 km2 area at the 79 °N Glacier (Nioghalvfjerdsbrae) in northeast Greenland, covering the years 2016, 2017, 2018 and 2019. Our lake detection is based on the ratio of the blue and red visible bands using a minimum threshold. To remove false classification caused by the similar spectra of shadow and water on ice, we implement a shadow model to mask out topographically induced artifacts. We identified 880 individual lakes, traceable over 479 time-steps throughout 2016–2019, with an average size of 64,212 m2. Of the four years, 2019 had the most extensive lake area coverage with a maximum of 333 km2 and a maximum individual lake size of 30 km2. With 1.5 days average observation interval, our time-series allows for a comparison with climate data of daily resolution, enabling a better understanding of short-term climate-glacier feedbacks. View Full-Text
Keywords: supraglacial lakes; 79 °N; Sentinel-2; lake area; automated detection; Greenland supraglacial lakes; 79 °N; Sentinel-2; lake area; automated detection; Greenland
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MDPI and ACS Style

Hochreuther, P.; Neckel, N.; Reimann, N.; Humbert, A.; Braun, M. Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series. Remote Sens. 2021, 13, 205. https://doi.org/10.3390/rs13020205

AMA Style

Hochreuther P, Neckel N, Reimann N, Humbert A, Braun M. Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series. Remote Sensing. 2021; 13(2):205. https://doi.org/10.3390/rs13020205

Chicago/Turabian Style

Hochreuther, Philipp, Niklas Neckel, Nathalie Reimann, Angelika Humbert, and Matthias Braun. 2021. "Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series" Remote Sensing 13, no. 2: 205. https://doi.org/10.3390/rs13020205

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