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: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Online Access:https://doi.org/10.3390/s19173700
https://doaj.org/article/cb4f500c52504e7abad2ef19e313febc
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spelling ftdoajarticles:oai:doaj.org/article:cb4f500c52504e7abad2ef19e313febc 2023-05-15T16:20:24+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 2019-08-01T00:00:00Z https://doi.org/10.3390/s19173700 https://doaj.org/article/cb4f500c52504e7abad2ef19e313febc EN eng MDPI AG https://www.mdpi.com/1424-8220/19/17/3700 https://doaj.org/toc/1424-8220 1424-8220 doi:10.3390/s19173700 https://doaj.org/article/cb4f500c52504e7abad2ef19e313febc Sensors, Vol 19, Iss 17, p 3700 (2019) interferometry topography glacier Chemical technology TP1-1185 article 2019 ftdoajarticles https://doi.org/10.3390/s19173700 2022-12-30T19:54:45Z 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). Article in Journal/Newspaper glacier glacier glaciers Greenland Alaska Directory of Open Access Journals: DOAJ Articles Greenland Sensors 19 17 3700
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic interferometry
topography
glacier
Chemical technology
TP1-1185
spellingShingle interferometry
topography
glacier
Chemical technology
TP1-1185
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
Chemical technology
TP1-1185
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 Article in Journal/Newspaper
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 MDPI AG
publishDate 2019
url https://doi.org/10.3390/s19173700
https://doaj.org/article/cb4f500c52504e7abad2ef19e313febc
geographic Greenland
geographic_facet Greenland
genre glacier
glacier
glaciers
Greenland
Alaska
genre_facet glacier
glacier
glaciers
Greenland
Alaska
op_source Sensors, Vol 19, Iss 17, p 3700 (2019)
op_relation https://www.mdpi.com/1424-8220/19/17/3700
https://doaj.org/toc/1424-8220
1424-8220
doi:10.3390/s19173700
https://doaj.org/article/cb4f500c52504e7abad2ef19e313febc
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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