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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ftmdpi:oai:mdpi.com:/2072-4292/9/11/1122/ 2023-08-20T04:04:03+02:00 Fusion of Multi-Source Satellite Data and DEMs to Create a New Glacier Inventory for Novaya Zemlya Philipp Rastner Tazio Strozzi Frank Paul agris 2017-11-04 application/pdf https://doi.org/10.3390/rs9111122 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs9111122 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 9; Issue 11; Pages: 1122 glacier inventory glacier mapping Arctic remote sensing ArcticDEM Landsat 8 fringes Novaya Zemlya Text 2017 ftmdpi https://doi.org/10.3390/rs9111122 2023-07-31T21:16:23Z 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. Text Arctic Novaya Zemlya MDPI Open Access Publishing Arctic New Glacier ENVELOPE(162.400,162.400,-77.033,-77.033) Remote Sensing 9 11 1122 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
glacier inventory glacier mapping Arctic remote sensing ArcticDEM Landsat 8 fringes Novaya Zemlya |
spellingShingle |
glacier inventory glacier mapping Arctic remote sensing ArcticDEM Landsat 8 fringes Novaya Zemlya Philipp Rastner Tazio Strozzi Frank Paul Fusion of Multi-Source Satellite Data and DEMs to Create a New Glacier Inventory for Novaya Zemlya |
topic_facet |
glacier inventory glacier mapping Arctic remote sensing ArcticDEM Landsat 8 fringes Novaya Zemlya |
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 |
Text |
author |
Philipp Rastner Tazio Strozzi Frank Paul |
author_facet |
Philipp Rastner Tazio Strozzi Frank Paul |
author_sort |
Philipp Rastner |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9111122 |
op_coverage |
agris |
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 |
Remote Sensing; Volume 9; Issue 11; Pages: 1122 |
op_relation |
https://dx.doi.org/10.3390/rs9111122 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs9111122 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
11 |
container_start_page |
1122 |
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