Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya

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 ava...

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Main Authors: Rastner, Philipp, Strozzi, Tazio, Paul, Frank
Format: Article in Journal/Newspaper
Language:English
Published: MDPI Publishing 2017
Subjects:
Online Access:https://www.zora.uzh.ch/id/eprint/141658/
https://www.zora.uzh.ch/id/eprint/141658/1/2017_Rastner_remotesensing-09-01122.pdf
https://doi.org/10.5167/uzh-141658
https://doi.org/10.3390/rs9111122
id ftunivzuerich:oai:www.zora.uzh.ch:141658
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spelling ftunivzuerich:oai:www.zora.uzh.ch:141658 2024-06-23T07:49:59+00:00 Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya Rastner, Philipp Strozzi, Tazio Paul, Frank 2017 application/pdf https://www.zora.uzh.ch/id/eprint/141658/ https://www.zora.uzh.ch/id/eprint/141658/1/2017_Rastner_remotesensing-09-01122.pdf https://doi.org/10.5167/uzh-141658 https://doi.org/10.3390/rs9111122 eng eng MDPI Publishing https://www.zora.uzh.ch/id/eprint/141658/1/2017_Rastner_remotesensing-09-01122.pdf doi:10.5167/uzh-141658 doi:10.3390/rs9111122 urn:issn:2072-4292 info:eu-repo/semantics/openAccess Creative Commons: Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/ Rastner, Philipp; Strozzi, Tazio; Paul, Frank (2017). Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya. Remote Sensing, 9(11):1122. Institute of Geography 910 Geography & travel Journal Article PeerReviewed info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2017 ftunivzuerich https://doi.org/10.5167/uzh-14165810.3390/rs9111122 2024-05-29T00:41:00Z 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 ± 246.16 km2 with 1474 glacier entities >0.05 km2. The region is dominated by large glaciers, as 909 glaciers <0.5 km2 (62% by number) cover only 156 ± 1.7 km2 or 0.7% of the area, whereas 49 glaciers >100 km2 (3.3% by number) cover 18,724 ± 205.9 km2 or 84%. In total, 41 glaciers are marine terminating covering an area of 16,063.7 ± 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 >35% (20%) of the area. For the smaller glaciers in the southern part we calculated an area loss of ~5% (52.5 ± 4.5 km2) from 2001 to 2016. Article in Journal/Newspaper Arctic Novaya Zemlya University of Zurich (UZH): ZORA (Zurich Open Repository and Archive Arctic New Glacier ENVELOPE(162.400,162.400,-77.033,-77.033)
institution Open Polar
collection University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
op_collection_id ftunivzuerich
language English
topic Institute of Geography
910 Geography & travel
spellingShingle Institute of Geography
910 Geography & travel
Rastner, Philipp
Strozzi, Tazio
Paul, Frank
Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
topic_facet Institute of Geography
910 Geography & travel
description 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 ± 246.16 km2 with 1474 glacier entities >0.05 km2. The region is dominated by large glaciers, as 909 glaciers <0.5 km2 (62% by number) cover only 156 ± 1.7 km2 or 0.7% of the area, whereas 49 glaciers >100 km2 (3.3% by number) cover 18,724 ± 205.9 km2 or 84%. In total, 41 glaciers are marine terminating covering an area of 16,063.7 ± 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 >35% (20%) of the area. For the smaller glaciers in the southern part we calculated an area loss of ~5% (52.5 ± 4.5 km2) from 2001 to 2016.
format Article in Journal/Newspaper
author Rastner, Philipp
Strozzi, Tazio
Paul, Frank
author_facet Rastner, Philipp
Strozzi, Tazio
Paul, Frank
author_sort Rastner, Philipp
title Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
title_short Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
title_full Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
title_fullStr Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
title_full_unstemmed Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya
title_sort fusion of multi-source satellite data and dems to create a new glacier inventory for novaya zemlya
publisher MDPI Publishing
publishDate 2017
url https://www.zora.uzh.ch/id/eprint/141658/
https://www.zora.uzh.ch/id/eprint/141658/1/2017_Rastner_remotesensing-09-01122.pdf
https://doi.org/10.5167/uzh-141658
https://doi.org/10.3390/rs9111122
long_lat ENVELOPE(162.400,162.400,-77.033,-77.033)
geographic Arctic
New Glacier
geographic_facet Arctic
New Glacier
genre Arctic
Novaya Zemlya
genre_facet Arctic
Novaya Zemlya
op_source Rastner, Philipp; Strozzi, Tazio; Paul, Frank (2017). Fusion of multi-source satellite data and DEMs to create a new glacier inventory for Novaya Zemlya. Remote Sensing, 9(11):1122.
op_relation https://www.zora.uzh.ch/id/eprint/141658/1/2017_Rastner_remotesensing-09-01122.pdf
doi:10.5167/uzh-141658
doi:10.3390/rs9111122
urn:issn:2072-4292
op_rights info:eu-repo/semantics/openAccess
Creative Commons: Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.5167/uzh-14165810.3390/rs9111122
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