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...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Philipp Rastner, Tazio Strozzi, Frank Paul
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2017
Subjects:
Q
Online Access:https://doi.org/10.3390/rs9111122
https://doaj.org/article/4370da5098c14d1292a2bd4f14c2555a
id ftdoajarticles:oai:doaj.org/article:4370da5098c14d1292a2bd4f14c2555a
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:4370da5098c14d1292a2bd4f14c2555a 2023-05-15T14:53:05+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 2017-11-01T00:00:00Z https://doi.org/10.3390/rs9111122 https://doaj.org/article/4370da5098c14d1292a2bd4f14c2555a EN eng MDPI AG https://www.mdpi.com/2072-4292/9/11/1122 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9111122 https://doaj.org/article/4370da5098c14d1292a2bd4f14c2555a Remote Sensing, Vol 9, Iss 11, p 1122 (2017) glacier inventory glacier mapping Arctic remote sensing ArcticDEM Landsat 8 fringes Novaya Zemlya Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9111122 2022-12-31T04:00:39Z 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 Directory of Open Access Journals: DOAJ Articles Arctic New Glacier ENVELOPE(162.400,162.400,-77.033,-77.033) Remote Sensing 9 11 1122
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic glacier inventory
glacier mapping
Arctic
remote sensing
ArcticDEM
Landsat 8
fringes
Novaya Zemlya
Science
Q
spellingShingle glacier inventory
glacier mapping
Arctic
remote sensing
ArcticDEM
Landsat 8
fringes
Novaya Zemlya
Science
Q
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
Science
Q
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 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 MDPI AG
publishDate 2017
url https://doi.org/10.3390/rs9111122
https://doaj.org/article/4370da5098c14d1292a2bd4f14c2555a
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, Vol 9, Iss 11, p 1122 (2017)
op_relation https://www.mdpi.com/2072-4292/9/11/1122
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs9111122
https://doaj.org/article/4370da5098c14d1292a2bd4f14c2555a
op_doi https://doi.org/10.3390/rs9111122
container_title Remote Sensing
container_volume 9
container_issue 11
container_start_page 1122
_version_ 1766324507366129664