Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier
Frequent acquisition of Synthetic Aperture Radar (SAR) data by the European Sentinel-1 satellites provides an opportunity for monitoring the dynamics of worldwide glaciers. We present a fully-automated processing system for producing multi-dimensional time series of glacier flow. We then use this fu...
Published in: | Remote Sensing |
---|---|
Main Author: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2022
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs14112679 https://doaj.org/article/95727d80eabc4cb1acfb52a63c4b4ada |
id |
ftdoajarticles:oai:doaj.org/article:95727d80eabc4cb1acfb52a63c4b4ada |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:95727d80eabc4cb1acfb52a63c4b4ada 2023-05-15T16:20:25+02:00 Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier Sergey V. Samsonov 2022-06-01T00:00:00Z https://doi.org/10.3390/rs14112679 https://doaj.org/article/95727d80eabc4cb1acfb52a63c4b4ada EN eng MDPI AG https://www.mdpi.com/2072-4292/14/11/2679 https://doaj.org/toc/2072-4292 doi:10.3390/rs14112679 2072-4292 https://doaj.org/article/95727d80eabc4cb1acfb52a63c4b4ada Remote Sensing, Vol 14, Iss 2679, p 2679 (2022) Muldrow Glacier glacier dynamics surge Sentinel-1 SAR operational processing Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14112679 2022-12-30T23:14:37Z Frequent acquisition of Synthetic Aperture Radar (SAR) data by the European Sentinel-1 satellites provides an opportunity for monitoring the dynamics of worldwide glaciers. We present a fully-automated processing system for producing multi-dimensional time series of glacier flow. We then use this fully-automated processing system to investigate the dynamics of Muldrow Glacier, located in the Denali National Park and Preserve (Alaska, AK, USA) during the October 2014—November 2021 period. We compute north, east, and vertical Surface-Parallel-Flow (SPF) and non-Surface-Parallel-Flow (nSPF) components of flow velocity and displacement with an average temporal resolution of 9 days and grid spacing of 100 m. During this period, we observe a glacier surge, a manifold increase in glacier flow velocity, that started as early as 2017 and continues until the present; however, the near completion of this surge is apparent. This glacier previously surged in 1906–1912 (the exact date is unknown) and in 1956–1957. We present our results in different ways to emphasize various aspects of the observed surge and demonstrate the full capability of our processing system. As the availability of SAR data improves, we expect that the fully-automated processing systems, similar to the one presented here, will play an increasingly dominant role and soon entirely replace manual processing. Article in Journal/Newspaper glacier glaciers Alaska Directory of Open Access Journals: DOAJ Articles Remote Sensing 14 11 2679 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Muldrow Glacier glacier dynamics surge Sentinel-1 SAR operational processing Science Q |
spellingShingle |
Muldrow Glacier glacier dynamics surge Sentinel-1 SAR operational processing Science Q Sergey V. Samsonov Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
topic_facet |
Muldrow Glacier glacier dynamics surge Sentinel-1 SAR operational processing Science Q |
description |
Frequent acquisition of Synthetic Aperture Radar (SAR) data by the European Sentinel-1 satellites provides an opportunity for monitoring the dynamics of worldwide glaciers. We present a fully-automated processing system for producing multi-dimensional time series of glacier flow. We then use this fully-automated processing system to investigate the dynamics of Muldrow Glacier, located in the Denali National Park and Preserve (Alaska, AK, USA) during the October 2014—November 2021 period. We compute north, east, and vertical Surface-Parallel-Flow (SPF) and non-Surface-Parallel-Flow (nSPF) components of flow velocity and displacement with an average temporal resolution of 9 days and grid spacing of 100 m. During this period, we observe a glacier surge, a manifold increase in glacier flow velocity, that started as early as 2017 and continues until the present; however, the near completion of this surge is apparent. This glacier previously surged in 1906–1912 (the exact date is unknown) and in 1956–1957. We present our results in different ways to emphasize various aspects of the observed surge and demonstrate the full capability of our processing system. As the availability of SAR data improves, we expect that the fully-automated processing systems, similar to the one presented here, will play an increasingly dominant role and soon entirely replace manual processing. |
format |
Article in Journal/Newspaper |
author |
Sergey V. Samsonov |
author_facet |
Sergey V. Samsonov |
author_sort |
Sergey V. Samsonov |
title |
Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
title_short |
Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
title_full |
Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
title_fullStr |
Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
title_full_unstemmed |
Operational Processing of Big Satellite Data for Monitoring Glacier Dynamics: Case Study of Muldrow Glacier |
title_sort |
operational processing of big satellite data for monitoring glacier dynamics: case study of muldrow glacier |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14112679 https://doaj.org/article/95727d80eabc4cb1acfb52a63c4b4ada |
genre |
glacier glaciers Alaska |
genre_facet |
glacier glaciers Alaska |
op_source |
Remote Sensing, Vol 14, Iss 2679, p 2679 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/11/2679 https://doaj.org/toc/2072-4292 doi:10.3390/rs14112679 2072-4292 https://doaj.org/article/95727d80eabc4cb1acfb52a63c4b4ada |
op_doi |
https://doi.org/10.3390/rs14112679 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
11 |
container_start_page |
2679 |
_version_ |
1766008338975293440 |