{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T19:51:19Z","timestamp":1773690679920,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,8]],"date-time":"2021-01-08T00:00:00Z","timestamp":1610064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["03F0778F"],"award-info":[{"award-number":["03F0778F"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 \u00b0N 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\u20132019, 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.<\/jats:p>","DOI":"10.3390\/rs13020205","type":"journal-article","created":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T23:03:42Z","timestamp":1610319822000},"page":"205","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7780-1525","authenticated-orcid":false,"given":"Philipp","family":"Hochreuther","sequence":"first","affiliation":[{"name":"Institute of Geography, Friedrich-Alexander University Erlangen-N\u00fcrnberg, 91058 Erlangen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4300-5488","authenticated-orcid":false,"given":"Niklas","family":"Neckel","sequence":"additional","affiliation":[{"name":"Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute, 27570 Bremerhaven, Germany"}]},{"given":"Nathalie","family":"Reimann","sequence":"additional","affiliation":[{"name":"Institute of Geography, Friedrich-Alexander University Erlangen-N\u00fcrnberg, 91058 Erlangen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0244-8760","authenticated-orcid":false,"given":"Angelika","family":"Humbert","sequence":"additional","affiliation":[{"name":"Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute, 27570 Bremerhaven, Germany"},{"name":"Department of Geosciences, University of Bremen, 28359 Bremen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5169-1567","authenticated-orcid":false,"given":"Matthias","family":"Braun","sequence":"additional","affiliation":[{"name":"Institute of Geography, Friedrich-Alexander University Erlangen-N\u00fcrnberg, 91058 Erlangen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1934","DOI":"10.1073\/pnas.1806562116","article-title":"Accelerating Changes in Ice Mass within Greenland, and the Ice Sheet\u2019s Sensitivity to Atmospheric Forcing","volume":"116","author":"Bevis","year":"2019","journal-title":"Proc. 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