Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR
Microwave scattering from sea ice is partially controlled by the ice surface roughness. In this paper, we propose a technique for calculating 2-D centimeter-scale surface roughness parameters, including the rms height, correlation length, and form of autocorrelation function, from 3-D terrestrial li...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | http://hdl.handle.net/1993/34870 https://doi.org/10.1109/TGRS.2014.2336833 |
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ftunivmanitoba:oai:mspace.lib.umanitoba.ca:1993/34870 2023-06-18T03:42:56+02:00 Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR Landy, Jack Isleifson, Dustin Komarov, Alexander Barber, David 2020-08-18T00:21:08Z application/pdf http://hdl.handle.net/1993/34870 https://doi.org/10.1109/TGRS.2014.2336833 eng eng IEEE Landy, J. C., Isleifson, D., Komarov, A. S., Barber, D. G., 2015. Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR. IEEE Trans Geosci Remote Sens. 53(3):1271-1286. https://doi.org/10.1109/TGRS.2014.233683. http://hdl.handle.net/1993/34870 doi:10.1109/TGRS.2014.2336833 open access geophysical measurements ice surface laser applications measurement by laser beam radar scattering sea ice surface roughness surface topography Article 2020 ftunivmanitoba https://doi.org/10.1109/TGRS.2014.233683310.1109/TGRS.2014.233683 2023-06-04T17:45:25Z Microwave scattering from sea ice is partially controlled by the ice surface roughness. In this paper, we propose a technique for calculating 2-D centimeter-scale surface roughness parameters, including the rms height, correlation length, and form of autocorrelation function, from 3-D terrestrial light detection and ranging data. We demonstrate that a single scale of roughness can be extracted from complex sea ice surfaces, incorporating multiple scales of topography, after sophisticated 2-D detrending, and calculate roughness parameters for a wide range of artificial and natural sea ice surface types. The 2-D technique is shown to be considerably more precise than standard 1-D profiling techniques and can therefore characterize surface roughness as a stationary single-scale process, which a 1-D technique typically cannot do. Sea ice surfaces are generally found to have strongly anisotropic correlation lengths, indicating that microwave scattering models for sea ice should include surface spectra that vary as a function of the azimuthal angle of incident radiation. However, our results demonstrate that there is no fundamental relationship between the rms height and correlation length for sea ice surfaces if the sampling area is above a threshold minimum size. Article in Journal/Newspaper Sea ice MSpace at the University of Manitoba IEEE Transactions on Geoscience and Remote Sensing 53 3 1271 1286 |
institution |
Open Polar |
collection |
MSpace at the University of Manitoba |
op_collection_id |
ftunivmanitoba |
language |
English |
topic |
geophysical measurements ice surface laser applications measurement by laser beam radar scattering sea ice surface roughness surface topography |
spellingShingle |
geophysical measurements ice surface laser applications measurement by laser beam radar scattering sea ice surface roughness surface topography Landy, Jack Isleifson, Dustin Komarov, Alexander Barber, David Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
topic_facet |
geophysical measurements ice surface laser applications measurement by laser beam radar scattering sea ice surface roughness surface topography |
description |
Microwave scattering from sea ice is partially controlled by the ice surface roughness. In this paper, we propose a technique for calculating 2-D centimeter-scale surface roughness parameters, including the rms height, correlation length, and form of autocorrelation function, from 3-D terrestrial light detection and ranging data. We demonstrate that a single scale of roughness can be extracted from complex sea ice surfaces, incorporating multiple scales of topography, after sophisticated 2-D detrending, and calculate roughness parameters for a wide range of artificial and natural sea ice surface types. The 2-D technique is shown to be considerably more precise than standard 1-D profiling techniques and can therefore characterize surface roughness as a stationary single-scale process, which a 1-D technique typically cannot do. Sea ice surfaces are generally found to have strongly anisotropic correlation lengths, indicating that microwave scattering models for sea ice should include surface spectra that vary as a function of the azimuthal angle of incident radiation. However, our results demonstrate that there is no fundamental relationship between the rms height and correlation length for sea ice surfaces if the sampling area is above a threshold minimum size. |
format |
Article in Journal/Newspaper |
author |
Landy, Jack Isleifson, Dustin Komarov, Alexander Barber, David |
author_facet |
Landy, Jack Isleifson, Dustin Komarov, Alexander Barber, David |
author_sort |
Landy, Jack |
title |
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
title_short |
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
title_full |
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
title_fullStr |
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
title_full_unstemmed |
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR |
title_sort |
parameterization of centimeter-scale sea ice surface roughness using terrestrial lidar |
publisher |
IEEE |
publishDate |
2020 |
url |
http://hdl.handle.net/1993/34870 https://doi.org/10.1109/TGRS.2014.2336833 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Landy, J. C., Isleifson, D., Komarov, A. S., Barber, D. G., 2015. Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR. IEEE Trans Geosci Remote Sens. 53(3):1271-1286. https://doi.org/10.1109/TGRS.2014.233683. http://hdl.handle.net/1993/34870 doi:10.1109/TGRS.2014.2336833 |
op_rights |
open access |
op_doi |
https://doi.org/10.1109/TGRS.2014.233683310.1109/TGRS.2014.233683 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
53 |
container_issue |
3 |
container_start_page |
1271 |
op_container_end_page |
1286 |
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1769009136384606208 |