Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer

The airborne glacier and ice surface topography interferometer (GLISTIN-A) is a single-pass radar interferometer developed for accurate high-resolution swath mapping of dynamic ice surfaces. We present the first validation results of the operational sensor, collected in 2013 over glaciers in Alaska...

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Published in:Sensors
Main Authors: Delwyn Moller, Scott Hensley, Jeremie Mouginot, Joshua Willis, Xiaoqing Wu, Christopher Larsen, Eric Rignot, Ronald Muellerschoen, Ala Khazendar
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:https://doi.org/10.3390/s19173700
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spelling ftmdpi:oai:mdpi.com:/1424-8220/19/17/3700/ 2023-08-20T04:06:39+02:00 Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer Delwyn Moller Scott Hensley Jeremie Mouginot Joshua Willis Xiaoqing Wu Christopher Larsen Eric Rignot Ronald Muellerschoen Ala Khazendar 2019-08-26 application/pdf https://doi.org/10.3390/s19173700 EN eng Multidisciplinary Digital Publishing Institute State-of-the-Art Sensors Technologies https://dx.doi.org/10.3390/s19173700 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 19; Issue 17; Pages: 3700 interferometry topography glacier Text 2019 ftmdpi https://doi.org/10.3390/s19173700 2023-07-31T22:33:07Z The airborne glacier and ice surface topography interferometer (GLISTIN-A) is a single-pass radar interferometer developed for accurate high-resolution swath mapping of dynamic ice surfaces. We present the first validation results of the operational sensor, collected in 2013 over glaciers in Alaska and followed by more exhaustive collections from Greenland in 2016 and 2017. In Alaska, overlapping flight-tracks were mosaicked to mitigate potential residual trends across-track and the resultant maps are validated with lidar. Furthermore, repeat acquisitions of Columbia Glacier collected with a three day separation indicate excellent stability and repeatability. Commencing 2016, GLISTIN-A has circumnavigated Greenland for 4 consecutive years. Due to flight hour limitations, overlapping swaths were not flown. In 2016, comparison with airborne lidar data finds that residual systematic errors exhibit evenly distributed small slopes (all less than 10 millidegrees) and nadir biases were typically less than 1 m. Similarly 2017 data exhibited up to meter-scale nadir biases and evenly distributed residual slopes with a standard deviation of ~10 millidegrees). All satisfied the science accuracy requirements of the Greenland campaigns (3 m accuracy across an 8 km swath). Text glacier glacier glaciers Greenland Alaska MDPI Open Access Publishing Greenland Sensors 19 17 3700
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic interferometry
topography
glacier
spellingShingle interferometry
topography
glacier
Delwyn Moller
Scott Hensley
Jeremie Mouginot
Joshua Willis
Xiaoqing Wu
Christopher Larsen
Eric Rignot
Ronald Muellerschoen
Ala Khazendar
Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
topic_facet interferometry
topography
glacier
description The airborne glacier and ice surface topography interferometer (GLISTIN-A) is a single-pass radar interferometer developed for accurate high-resolution swath mapping of dynamic ice surfaces. We present the first validation results of the operational sensor, collected in 2013 over glaciers in Alaska and followed by more exhaustive collections from Greenland in 2016 and 2017. In Alaska, overlapping flight-tracks were mosaicked to mitigate potential residual trends across-track and the resultant maps are validated with lidar. Furthermore, repeat acquisitions of Columbia Glacier collected with a three day separation indicate excellent stability and repeatability. Commencing 2016, GLISTIN-A has circumnavigated Greenland for 4 consecutive years. Due to flight hour limitations, overlapping swaths were not flown. In 2016, comparison with airborne lidar data finds that residual systematic errors exhibit evenly distributed small slopes (all less than 10 millidegrees) and nadir biases were typically less than 1 m. Similarly 2017 data exhibited up to meter-scale nadir biases and evenly distributed residual slopes with a standard deviation of ~10 millidegrees). All satisfied the science accuracy requirements of the Greenland campaigns (3 m accuracy across an 8 km swath).
format Text
author Delwyn Moller
Scott Hensley
Jeremie Mouginot
Joshua Willis
Xiaoqing Wu
Christopher Larsen
Eric Rignot
Ronald Muellerschoen
Ala Khazendar
author_facet Delwyn Moller
Scott Hensley
Jeremie Mouginot
Joshua Willis
Xiaoqing Wu
Christopher Larsen
Eric Rignot
Ronald Muellerschoen
Ala Khazendar
author_sort Delwyn Moller
title Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
title_short Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
title_full Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
title_fullStr Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
title_full_unstemmed Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
title_sort validation of glacier topographic acquisitions from an airborne single-pass interferometer
publisher Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/s19173700
geographic Greenland
geographic_facet Greenland
genre glacier
glacier
glaciers
Greenland
Alaska
genre_facet glacier
glacier
glaciers
Greenland
Alaska
op_source Sensors; Volume 19; Issue 17; Pages: 3700
op_relation State-of-the-Art Sensors Technologies
https://dx.doi.org/10.3390/s19173700
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s19173700
container_title Sensors
container_volume 19
container_issue 17
container_start_page 3700
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