Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)

Cross-correlation of image-pairs derived from both optical and synthetic aperture radar satellite imagery is the most common technique for measuring glacier flow velocity and quantifying the dynamics and discharge of glaciers. While the technique has been shown to be effective on polar ice sheets, t...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Joshua T. Kelly, Mark Hehlen, Scott McGee
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Online Access:https://doi.org/10.3390/rs15153828
https://doaj.org/article/aad60281fc0c4f8e90a847cd476eb3ff
id ftdoajarticles:oai:doaj.org/article:aad60281fc0c4f8e90a847cd476eb3ff
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:aad60281fc0c4f8e90a847cd476eb3ff 2023-09-05T13:19:35+02:00 Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska) Joshua T. Kelly Mark Hehlen Scott McGee 2023-07-01T00:00:00Z https://doi.org/10.3390/rs15153828 https://doaj.org/article/aad60281fc0c4f8e90a847cd476eb3ff EN eng MDPI AG https://www.mdpi.com/2072-4292/15/15/3828 https://doaj.org/toc/2072-4292 doi:10.3390/rs15153828 2072-4292 https://doaj.org/article/aad60281fc0c4f8e90a847cd476eb3ff Remote Sensing, Vol 15, Iss 3828, p 3828 (2023) glacier velocity satellite ITS_LIVE SNAP RETREAT Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15153828 2023-08-13T00:34:32Z Cross-correlation of image-pairs derived from both optical and synthetic aperture radar satellite imagery is the most common technique for measuring glacier flow velocity and quantifying the dynamics and discharge of glaciers. While the technique has been shown to be effective on polar ice sheets, the accuracy of satellite-derived velocities in temperate alpine regions is poorly constrained. Flow velocities were measured in situ using an RTK-GPS along four profiles on Taku, Matthes, Vaughan-Lewis, and Llewellyn Glaciers in southeast Alaska from 2016 through 2018. These GNSS-measured velocities were correlated against spatially coincident and contemporaneous satellite-derived velocity datasets, including both versions 1 and 2 of ITS_LIVE and velocities determined by offset tracking of SAR data in the Sentinel Application Platform (SNAP) and GAMMA (RETREAT dataset). Significant gaps in velocity maps derived from optical imagery (Landsat/Sentinel-2) were observed and determined to be due to low coherence rather than cloud contamination. Cross-correlation of SAR data (Sentinel-1) in SNAP and RETREAT achieved better accuracy compared to optical, although a strong dichotomy in performance was observed. SAR-derived velocities in the accumulation zone and transient snowline area showed overall poor correlation to GNSS-measured velocities that were likely due to significant shifts in the backscatter amplitude of the homogenous, snow-covered surface, although both SAR-derived SNAP and RETREAT velocities were anomalously accurate where GNSS velocities were below 0.10 m/day along the glacier margins. SNAP and RETREAT achieved the most accurate results in the study in the ablation zone of the Llewellyn Glacier where stable backscatter targets on the glacier surface (crevasses, supraglacial debris) facilitated high coherence in the cross-correlation procedure. SAR data are likely the most suitable for the derivation of satellite-derived velocities on temperate alpine glaciers, particularly in slow-moving and ablation zones, ... Article in Journal/Newspaper glacier glaciers Alaska Directory of Open Access Journals: DOAJ Articles Juneau Icefield ENVELOPE(-134.254,-134.254,58.916,58.916) Llewellyn Glacier ENVELOPE(-134.087,-134.087,59.083,59.083) Matthes ENVELOPE(-65.833,-65.833,-67.500,-67.500) Taku ENVELOPE(-133.854,-133.854,59.633,59.633) The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 15 15 3828
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic glacier
velocity
satellite
ITS_LIVE
SNAP
RETREAT
Science
Q
spellingShingle glacier
velocity
satellite
ITS_LIVE
SNAP
RETREAT
Science
Q
Joshua T. Kelly
Mark Hehlen
Scott McGee
Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
topic_facet glacier
velocity
satellite
ITS_LIVE
SNAP
RETREAT
Science
Q
description Cross-correlation of image-pairs derived from both optical and synthetic aperture radar satellite imagery is the most common technique for measuring glacier flow velocity and quantifying the dynamics and discharge of glaciers. While the technique has been shown to be effective on polar ice sheets, the accuracy of satellite-derived velocities in temperate alpine regions is poorly constrained. Flow velocities were measured in situ using an RTK-GPS along four profiles on Taku, Matthes, Vaughan-Lewis, and Llewellyn Glaciers in southeast Alaska from 2016 through 2018. These GNSS-measured velocities were correlated against spatially coincident and contemporaneous satellite-derived velocity datasets, including both versions 1 and 2 of ITS_LIVE and velocities determined by offset tracking of SAR data in the Sentinel Application Platform (SNAP) and GAMMA (RETREAT dataset). Significant gaps in velocity maps derived from optical imagery (Landsat/Sentinel-2) were observed and determined to be due to low coherence rather than cloud contamination. Cross-correlation of SAR data (Sentinel-1) in SNAP and RETREAT achieved better accuracy compared to optical, although a strong dichotomy in performance was observed. SAR-derived velocities in the accumulation zone and transient snowline area showed overall poor correlation to GNSS-measured velocities that were likely due to significant shifts in the backscatter amplitude of the homogenous, snow-covered surface, although both SAR-derived SNAP and RETREAT velocities were anomalously accurate where GNSS velocities were below 0.10 m/day along the glacier margins. SNAP and RETREAT achieved the most accurate results in the study in the ablation zone of the Llewellyn Glacier where stable backscatter targets on the glacier surface (crevasses, supraglacial debris) facilitated high coherence in the cross-correlation procedure. SAR data are likely the most suitable for the derivation of satellite-derived velocities on temperate alpine glaciers, particularly in slow-moving and ablation zones, ...
format Article in Journal/Newspaper
author Joshua T. Kelly
Mark Hehlen
Scott McGee
author_facet Joshua T. Kelly
Mark Hehlen
Scott McGee
author_sort Joshua T. Kelly
title Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
title_short Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
title_full Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
title_fullStr Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
title_full_unstemmed Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
title_sort uncertainty of satellite-derived glacier flow velocities in a temperate alpine setting (juneau icefield, alaska)
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15153828
https://doaj.org/article/aad60281fc0c4f8e90a847cd476eb3ff
long_lat ENVELOPE(-134.254,-134.254,58.916,58.916)
ENVELOPE(-134.087,-134.087,59.083,59.083)
ENVELOPE(-65.833,-65.833,-67.500,-67.500)
ENVELOPE(-133.854,-133.854,59.633,59.633)
ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic Juneau Icefield
Llewellyn Glacier
Matthes
Taku
The Sentinel
geographic_facet Juneau Icefield
Llewellyn Glacier
Matthes
Taku
The Sentinel
genre glacier
glaciers
Alaska
genre_facet glacier
glaciers
Alaska
op_source Remote Sensing, Vol 15, Iss 3828, p 3828 (2023)
op_relation https://www.mdpi.com/2072-4292/15/15/3828
https://doaj.org/toc/2072-4292
doi:10.3390/rs15153828
2072-4292
https://doaj.org/article/aad60281fc0c4f8e90a847cd476eb3ff
op_doi https://doi.org/10.3390/rs15153828
container_title Remote Sensing
container_volume 15
container_issue 15
container_start_page 3828
_version_ 1776200380344958976