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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Published in:Remote Sensing
Main Authors: Philipp Rastner, Tazio Strozzi, Frank Paul
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Subjects:
Online Access:https://doi.org/10.3390/rs9111122
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spelling 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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