{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T22:38:56Z","timestamp":1778539136371,"version":"3.51.4"},"reference-count":53,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,11,4]],"date-time":"2017-11-04T00:00:00Z","timestamp":1509753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring glacier changes in remote Arctic regions are strongly facilitated by satellite data. This is especially true for the Russian Arctic where recently increased optical and SAR satellite imagery (Landsat 8 OLI, Sentinel 1\/2), and digital elevation models (TanDEM-X, ArcticDEM) are becoming available. These datasets offer new possibilities to create high-quality glacier inventories. Here, we present a new glacier inventory derived from a fusion of multi-source satellite data for Novaya Zemlya in the Russian Arctic. We mainly used Landsat 8 OLI data to automatically map glaciers with the band ratio method. Missing debris-covered glacier parts and misclassified lakes were manually corrected. Whereas perennial snow fields were a major obstacle in glacier identification, seasonal snow was identified and removed using Landsat 5 TM scenes from the year 1998. Drainage basins were derived semi-automatically using the ArcticDEM (gap-filled by the ASTER GDEM V2) and manually corrected using fringes from ALOS PALSAR. The new glacier inventory gives a glacierized area of 22,379 \u00b1 246.16 km2 with 1474 glacier entities &gt;0.05 km2. The region is dominated by large glaciers, as 909 glaciers &lt;0.5 km2 (62% by number) cover only 156 \u00b1 1.7 km2 or 0.7% of the area, whereas 49 glaciers &gt;100 km2 (3.3% by number) cover 18,724 \u00b1 205.9 km2 or 84%. In total, 41 glaciers are marine terminating covering an area of 16,063.7 \u00b1 118.8 km2. The mean elevation is 596 m for all glaciers in the study region (528 m in the northern part, 641 in the southern part). South-east (north-west) facing glaciers cover &gt;35% (20%) of the area. For the smaller glaciers in the southern part we calculated an area loss of ~5% (52.5 \u00b1 4.5 km2) from 2001 to 2016.<\/jats:p>","DOI":"10.3390\/rs9111122","type":"journal-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T11:39:38Z","timestamp":1509968378000},"page":"1122","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Fusion of Multi-Source Satellite Data and DEMs to Create a New Glacier Inventory for Novaya Zemlya"],"prefix":"10.3390","volume":"9","author":[{"given":"Philipp","family":"Rastner","sequence":"first","affiliation":[{"name":"Department of Geography, University of Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9054-951X","authenticated-orcid":false,"given":"Tazio","family":"Strozzi","sequence":"additional","affiliation":[{"name":"Gamma Remote Sensing, 3073 G\u00fcmligen, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Paul","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Zurich, 8057 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1741","DOI":"10.5194\/tc-8-1741-2014","article-title":"The length of the world\u2019s glaciers\u2014A new approach for the global calculation of center lines","volume":"8","author":"Machguth","year":"2014","journal-title":"Cryosphere"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"205","DOI":"10.5194\/tc-3-205-2009","article-title":"Quantifying changes and trends in glacier area and volume in the Austrian \u00d6tztal Alps (1969\u20131997\u20132006)","volume":"3","author":"Abermann","year":"2009","journal-title":"Cryosphere"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.5194\/tc-8-1885-2014","article-title":"Glacier area and length changes in Norway from repeat inventories","volume":"8","author":"Winsvold","year":"2014","journal-title":"Cryosphere"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"335","DOI":"10.3189\/172756406781812285","article-title":"Distributed glacier mass-balance modelling as an important component of modern multi-level glacier monitoring","volume":"43","author":"Machguth","year":"2006","journal-title":"Ann. 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