Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard)
The topic of this paper is the airborne evaluation of ICESat-2 Advanced Topographic Laser Altimeter System (ATLAS) measurement capabilities and surface-height-determination over crevassed glacial terrain, with a focus on the geodetical accuracy of geophysical data collected from a helicopter. To obt...
Published in: | Remote Sensing |
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Language: | English |
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2022
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Online Access: | https://orbit.dtu.dk/en/publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 https://doi.org/10.3390/rs14051185 https://backend.orbit.dtu.dk/ws/files/270280925/remotesensing_14_01185_v2_1_.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 2024-09-15T17:51:09+00:00 Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) C. Herzfeld, Ute Lawson, Matthew Trantow, Thomas Nylen, Thomas 2022 application/pdf https://orbit.dtu.dk/en/publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 https://doi.org/10.3390/rs14051185 https://backend.orbit.dtu.dk/ws/files/270280925/remotesensing_14_01185_v2_1_.pdf eng eng https://orbit.dtu.dk/en/publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 info:eu-repo/semantics/openAccess C. Herzfeld , U , Lawson , M , Trantow , T & Nylen , T 2022 , ' Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) ' , Remote Sensing , vol. 14 , 1185 . https://doi.org/10.3390/rs14051185 ICESat-2 Laser Altimetry Kinematic GPS Experiments Glaciology Surge Glaciers Svalbard Density Dimension Algorithm for Ice Surfaces Airborne Validation of Satellite Data article 2022 ftdtupubl https://doi.org/10.3390/rs14051185 2024-08-13T00:03:06Z The topic of this paper is the airborne evaluation of ICESat-2 Advanced Topographic Laser Altimeter System (ATLAS) measurement capabilities and surface-height-determination over crevassed glacial terrain, with a focus on the geodetical accuracy of geophysical data collected from a helicopter. To obtain surface heights over crevassed and otherwise complex ice surface, ICESat-2 data are analyzed using the density-dimension algorithm for ice surfaces (DDA-ice), which yields surface heights at the nominal 0.7 m along-track spacing of ATLAS data. As the result of an ongoing surge, Negribreen, Svalbard, provided an ideal situation for the validation objectives in 2018 and 2019, because many different crevasse types and morphologically complex ice surfaces existed in close proximity. Airborne geophysical data, including laser altimeter data (profilometer data at 905 nm frequency), differential Global Positioning System (GPS), Inertial Measurement Unit (IMU) data, on-board-time-lapse imagery and photographs, were collected during two campaigns in summers of 2018 and 2019. Airborne experiment setup, geodetical correction and data processing steps are described here. To date, there is relatively little knowledge of the geodetical accuracy that can be obtained from kinematic data collection from a helicopter. Our study finds that (1) Kinematic GPS data collection with correction in post-processing yields higher accuracies than Real-Time-Kinematic (RTK) data collection. (2) Processing of only the rover data using the Natural Resources Canada Spatial Reference System Precise Point Positioning (CSRS-PPP) software is sufficiently accurate for the sub-satellite validation purpose. (3) Distances between ICESat-2 ground tracks and airborne ground tracks were generally better than 25 m, while distance between predicted and actual ICESat-2 ground track was on the order of 9 m, which allows direct comparison of ice-surface heights and spatial statistical characteristics of crevasses from the satellite and airborne measurements. (4) ... Article in Journal/Newspaper Arctic glacier glacier* Svalbard Technical University of Denmark: DTU Orbit Remote Sensing 14 5 1185 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
ICESat-2 Laser Altimetry Kinematic GPS Experiments Glaciology Surge Glaciers Svalbard Density Dimension Algorithm for Ice Surfaces Airborne Validation of Satellite Data |
spellingShingle |
ICESat-2 Laser Altimetry Kinematic GPS Experiments Glaciology Surge Glaciers Svalbard Density Dimension Algorithm for Ice Surfaces Airborne Validation of Satellite Data C. Herzfeld, Ute Lawson, Matthew Trantow, Thomas Nylen, Thomas Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
topic_facet |
ICESat-2 Laser Altimetry Kinematic GPS Experiments Glaciology Surge Glaciers Svalbard Density Dimension Algorithm for Ice Surfaces Airborne Validation of Satellite Data |
description |
The topic of this paper is the airborne evaluation of ICESat-2 Advanced Topographic Laser Altimeter System (ATLAS) measurement capabilities and surface-height-determination over crevassed glacial terrain, with a focus on the geodetical accuracy of geophysical data collected from a helicopter. To obtain surface heights over crevassed and otherwise complex ice surface, ICESat-2 data are analyzed using the density-dimension algorithm for ice surfaces (DDA-ice), which yields surface heights at the nominal 0.7 m along-track spacing of ATLAS data. As the result of an ongoing surge, Negribreen, Svalbard, provided an ideal situation for the validation objectives in 2018 and 2019, because many different crevasse types and morphologically complex ice surfaces existed in close proximity. Airborne geophysical data, including laser altimeter data (profilometer data at 905 nm frequency), differential Global Positioning System (GPS), Inertial Measurement Unit (IMU) data, on-board-time-lapse imagery and photographs, were collected during two campaigns in summers of 2018 and 2019. Airborne experiment setup, geodetical correction and data processing steps are described here. To date, there is relatively little knowledge of the geodetical accuracy that can be obtained from kinematic data collection from a helicopter. Our study finds that (1) Kinematic GPS data collection with correction in post-processing yields higher accuracies than Real-Time-Kinematic (RTK) data collection. (2) Processing of only the rover data using the Natural Resources Canada Spatial Reference System Precise Point Positioning (CSRS-PPP) software is sufficiently accurate for the sub-satellite validation purpose. (3) Distances between ICESat-2 ground tracks and airborne ground tracks were generally better than 25 m, while distance between predicted and actual ICESat-2 ground track was on the order of 9 m, which allows direct comparison of ice-surface heights and spatial statistical characteristics of crevasses from the satellite and airborne measurements. (4) ... |
format |
Article in Journal/Newspaper |
author |
C. Herzfeld, Ute Lawson, Matthew Trantow, Thomas Nylen, Thomas |
author_facet |
C. Herzfeld, Ute Lawson, Matthew Trantow, Thomas Nylen, Thomas |
author_sort |
C. Herzfeld, Ute |
title |
Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
title_short |
Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
title_full |
Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
title_fullStr |
Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
title_full_unstemmed |
Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) |
title_sort |
airborne validation of icesat-2 atlas data over crevassed surfaces and other complex glacial environments: results from experiments of laser altimeter and kinematic gps data collection from a helicopter over a surging arctic glacier (negribreen, svalbard) |
publishDate |
2022 |
url |
https://orbit.dtu.dk/en/publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 https://doi.org/10.3390/rs14051185 https://backend.orbit.dtu.dk/ws/files/270280925/remotesensing_14_01185_v2_1_.pdf |
genre |
Arctic glacier glacier* Svalbard |
genre_facet |
Arctic glacier glacier* Svalbard |
op_source |
C. Herzfeld , U , Lawson , M , Trantow , T & Nylen , T 2022 , ' Airborne Validation of ICESat-2 ATLAS Data over Crevassed Surfaces and Other Complex Glacial Environments: Results from Experiments of Laser Altimeter and Kinematic GPS Data Collection from a Helicopter over a Surging Arctic Glacier (Negribreen, Svalbard) ' , Remote Sensing , vol. 14 , 1185 . https://doi.org/10.3390/rs14051185 |
op_relation |
https://orbit.dtu.dk/en/publications/9e1c9ce9-573e-495d-90e1-14ad47ce9f96 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs14051185 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
5 |
container_start_page |
1185 |
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1810292967790870528 |