Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer
International audience 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 o...
Published in: | Sensors |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | https://hal.archives-ouvertes.fr/hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134/document https://hal.archives-ouvertes.fr/hal-02392134/file/sensors-19-03700.pdf https://doi.org/10.3390/s19173700 |
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ftccsdartic:oai:HAL:hal-02392134v1 2023-05-15T16:20:25+02:00 Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer Moller, Delwyn Hensley, Scott Mouginot, Jeremie Willis, Joshua Wu, Xiaoqing Larsen, Christopher Rignot, Eric Muellerschoen, Ronald Khazendar, Ala Jet Propulsion Laboratory (JPL) California Institute of Technology (CALTECH)-NASA Institut des Géosciences de l’Environnement (IGE) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) University of California Irvine (UCI) University of California Department of Earth System Science Irvine (ESS) University of California-University of California 2019-09 https://hal.archives-ouvertes.fr/hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134/document https://hal.archives-ouvertes.fr/hal-02392134/file/sensors-19-03700.pdf https://doi.org/10.3390/s19173700 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/s19173700 hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134/document https://hal.archives-ouvertes.fr/hal-02392134/file/sensors-19-03700.pdf doi:10.3390/s19173700 http://creativecommons.org/licenses/by-nd/ info:eu-repo/semantics/OpenAccess CC-BY-ND ISSN: 1424-8220 Sensors https://hal.archives-ouvertes.fr/hal-02392134 Sensors, MDPI, 2019, 19 (17), pp.3700. ⟨10.3390/s19173700⟩ interferometry topography glacier [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.IE]Environmental Sciences/Environmental Engineering info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.3390/s19173700 2021-12-05T00:44:18Z International audience 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Greenland Sensors 19 17 3700 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
interferometry topography glacier [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.IE]Environmental Sciences/Environmental Engineering |
spellingShingle |
interferometry topography glacier [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.IE]Environmental Sciences/Environmental Engineering Moller, Delwyn Hensley, Scott Mouginot, Jeremie Willis, Joshua Wu, Xiaoqing Larsen, Christopher Rignot, Eric Muellerschoen, Ronald Khazendar, Ala Validation of Glacier Topographic Acquisitions from an Airborne Single-Pass Interferometer |
topic_facet |
interferometry topography glacier [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.IE]Environmental Sciences/Environmental Engineering |
description |
International audience 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). |
author2 |
Jet Propulsion Laboratory (JPL) California Institute of Technology (CALTECH)-NASA Institut des Géosciences de l’Environnement (IGE) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) University of California Irvine (UCI) University of California Department of Earth System Science Irvine (ESS) University of California-University of California |
format |
Article in Journal/Newspaper |
author |
Moller, Delwyn Hensley, Scott Mouginot, Jeremie Willis, Joshua Wu, Xiaoqing Larsen, Christopher Rignot, Eric Muellerschoen, Ronald Khazendar, Ala |
author_facet |
Moller, Delwyn Hensley, Scott Mouginot, Jeremie Willis, Joshua Wu, Xiaoqing Larsen, Christopher Rignot, Eric Muellerschoen, Ronald Khazendar, Ala |
author_sort |
Moller, Delwyn |
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 |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134/document https://hal.archives-ouvertes.fr/hal-02392134/file/sensors-19-03700.pdf 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 |
ISSN: 1424-8220 Sensors https://hal.archives-ouvertes.fr/hal-02392134 Sensors, MDPI, 2019, 19 (17), pp.3700. ⟨10.3390/s19173700⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/s19173700 hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134 https://hal.archives-ouvertes.fr/hal-02392134/document https://hal.archives-ouvertes.fr/hal-02392134/file/sensors-19-03700.pdf doi:10.3390/s19173700 |
op_rights |
http://creativecommons.org/licenses/by-nd/ info:eu-repo/semantics/OpenAccess |
op_rightsnorm |
CC-BY-ND |
op_doi |
https://doi.org/10.3390/s19173700 |
container_title |
Sensors |
container_volume |
19 |
container_issue |
17 |
container_start_page |
3700 |
_version_ |
1766008334508359680 |