The application of millimetre-wave radar to the study of the cryosphere

This thesis develops the technique of millimetre-wave radar at 94 GHz for close-range remote sensing of glaciers and terrestrial snow cover (the cryosphere). The capabilities of 94 GHz radar for cryosphere mapping are demonstrated using the 2ⁿᵈ generation All-weather Volcano Topography Imaging Senso...

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Main Author: Harcourt, William David
Other Authors: Robertson, Duncan Alexander, Macfarlane, David G., Rea, Brice R., Spagnolo, Matteo, Benn, Douglas I., Engineering and Physical Sciences Research Council (EPSRC), Scottish Alliance for Geoscience, Environment and Society (SAGES)
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: The University of St Andrews 2023
Subjects:
Online Access:http://hdl.handle.net/10023/27235
https://doi.org/10.17630/sta/360
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spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/27235 2023-07-02T03:31:36+02:00 The application of millimetre-wave radar to the study of the cryosphere Harcourt, William David Robertson, Duncan Alexander Macfarlane, David G. Rea, Brice R. Spagnolo, Matteo Benn, Douglas I. Engineering and Physical Sciences Research Council (EPSRC) Scottish Alliance for Geoscience, Environment and Society (SAGES) xl, 279 p. 2023-03-21T15:26:44Z application/pdf application/zip http://hdl.handle.net/10023/27235 https://doi.org/10.17630/sta/360 en eng The University of St Andrews http://hdl.handle.net/10023/27235 https://doi.org/10.17630/sta/360 EP/R513337/1 Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ 2024-01-18 Restricted in accordance with University regulations. Restricted until 18th January 2024 Radar Close range sensing Remote sensing Glaciology Snow dynamics Arctic Point clouds Thesis Doctoral PhD Doctor of Philosophy 2023 ftstandrewserep https://doi.org/10.17630/sta/360 2023-06-13T18:27:34Z This thesis develops the technique of millimetre-wave radar at 94 GHz for close-range remote sensing of glaciers and terrestrial snow cover (the cryosphere). The capabilities of 94 GHz radar for cryosphere mapping are demonstrated using the 2ⁿᵈ generation All-weather Volcano Topography Imaging Sensor (AVTIS2), which maps 3D terrain from real-beam scanning. AVTIS2 acquires 3D point clouds of terrain and a comparison to co-located high density point clouds derived from Terrestrial Laser Scanner (TLS) data showed that AVTIS2 point cloud uncertainties were 1.5 m at 1.5 km and 3 m at 3 km. These values are smaller than other close-range radar systems used to map cryospheric terrain in 3D. Next, the distribution of Normalised Radar Cross Section (σ⁰) values over glacier ice at 94 GHz was found to be −17.0 < σ⁰ < −3.4; σ⁰ₘₑₐₙ = −9.9 dB and followed a log-normal distribution. These values are comparable to other terrain types at 94 GHz such as refrozen snow, wet snow and wet soil, hence glacier surfaces were found to be suitable targets for terrain mapping at 94 GHz. These fundamental results were used to apply the AVTIS2 94 GHz radar for monitoring snow cover and glacier calving. Field trials in Scotland showed that the transition of wet snow to a refrozen snowpack in response to reductions in air temperature could be detected from changes in 94 GHz σ⁰. Snow hazard features could also be identified, such as post-avalanche debris accumulations which manifest as localised increases in radar backscatter. Next, 3D AVTIS2 data was used to quantify glacier calving rates at the Hansbreen tidewater glacier in Svalbard. A time series of ice cliff morphology derived from the AVTIS2 3D data sets exposed the role of melt undercutting and demonstrated the critical role of the ocean on calving processes in Svalbard. The high accuracy 3D data acquired from AVTIS2 and the sensitivity of radar backscatter to surface changes has demonstrated the unique capabilities of 94 GHz radar for cryosphere mapping, paving the way forward for ... Doctoral or Postdoctoral Thesis Arctic glacier Svalbard Tidewater University of St Andrews: Digital Research Repository Arctic Hansbreen ENVELOPE(15.650,15.650,77.075,77.075) Svalbard
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic Radar
Close range sensing
Remote sensing
Glaciology
Snow dynamics
Arctic
Point clouds
spellingShingle Radar
Close range sensing
Remote sensing
Glaciology
Snow dynamics
Arctic
Point clouds
Harcourt, William David
The application of millimetre-wave radar to the study of the cryosphere
topic_facet Radar
Close range sensing
Remote sensing
Glaciology
Snow dynamics
Arctic
Point clouds
description This thesis develops the technique of millimetre-wave radar at 94 GHz for close-range remote sensing of glaciers and terrestrial snow cover (the cryosphere). The capabilities of 94 GHz radar for cryosphere mapping are demonstrated using the 2ⁿᵈ generation All-weather Volcano Topography Imaging Sensor (AVTIS2), which maps 3D terrain from real-beam scanning. AVTIS2 acquires 3D point clouds of terrain and a comparison to co-located high density point clouds derived from Terrestrial Laser Scanner (TLS) data showed that AVTIS2 point cloud uncertainties were 1.5 m at 1.5 km and 3 m at 3 km. These values are smaller than other close-range radar systems used to map cryospheric terrain in 3D. Next, the distribution of Normalised Radar Cross Section (σ⁰) values over glacier ice at 94 GHz was found to be −17.0 < σ⁰ < −3.4; σ⁰ₘₑₐₙ = −9.9 dB and followed a log-normal distribution. These values are comparable to other terrain types at 94 GHz such as refrozen snow, wet snow and wet soil, hence glacier surfaces were found to be suitable targets for terrain mapping at 94 GHz. These fundamental results were used to apply the AVTIS2 94 GHz radar for monitoring snow cover and glacier calving. Field trials in Scotland showed that the transition of wet snow to a refrozen snowpack in response to reductions in air temperature could be detected from changes in 94 GHz σ⁰. Snow hazard features could also be identified, such as post-avalanche debris accumulations which manifest as localised increases in radar backscatter. Next, 3D AVTIS2 data was used to quantify glacier calving rates at the Hansbreen tidewater glacier in Svalbard. A time series of ice cliff morphology derived from the AVTIS2 3D data sets exposed the role of melt undercutting and demonstrated the critical role of the ocean on calving processes in Svalbard. The high accuracy 3D data acquired from AVTIS2 and the sensitivity of radar backscatter to surface changes has demonstrated the unique capabilities of 94 GHz radar for cryosphere mapping, paving the way forward for ...
author2 Robertson, Duncan Alexander
Macfarlane, David G.
Rea, Brice R.
Spagnolo, Matteo
Benn, Douglas I.
Engineering and Physical Sciences Research Council (EPSRC)
Scottish Alliance for Geoscience, Environment and Society (SAGES)
format Doctoral or Postdoctoral Thesis
author Harcourt, William David
author_facet Harcourt, William David
author_sort Harcourt, William David
title The application of millimetre-wave radar to the study of the cryosphere
title_short The application of millimetre-wave radar to the study of the cryosphere
title_full The application of millimetre-wave radar to the study of the cryosphere
title_fullStr The application of millimetre-wave radar to the study of the cryosphere
title_full_unstemmed The application of millimetre-wave radar to the study of the cryosphere
title_sort application of millimetre-wave radar to the study of the cryosphere
publisher The University of St Andrews
publishDate 2023
url http://hdl.handle.net/10023/27235
https://doi.org/10.17630/sta/360
op_coverage xl, 279 p.
long_lat ENVELOPE(15.650,15.650,77.075,77.075)
geographic Arctic
Hansbreen
Svalbard
geographic_facet Arctic
Hansbreen
Svalbard
genre Arctic
glacier
Svalbard
Tidewater
genre_facet Arctic
glacier
Svalbard
Tidewater
op_relation http://hdl.handle.net/10023/27235
https://doi.org/10.17630/sta/360
EP/R513337/1
op_rights Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
2024-01-18
Restricted in accordance with University regulations. Restricted until 18th January 2024
op_doi https://doi.org/10.17630/sta/360
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