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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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 |
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Open Polar |
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MDPI Open Access Publishing |
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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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1774717893532975104 |