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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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 |
_version_ |
1766008312527060992 |