Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness
Terrestrial light detection and ranging (LiDAR) offers significant advantages over conventional techniques for measuring the centimeter-scale surface roughness of natural surfaces, such as sea ice. However, the laser scanning technique is inherently limited, principally by the following: 1) the high...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://hdl.handle.net/1983/b26a02b5-e7c6-4c32-9762-18facb631343 https://research-information.bris.ac.uk/en/publications/b26a02b5-e7c6-4c32-9762-18facb631343 https://doi.org/10.1109/TGRS.2015.2412034 http://www.scopus.com/inward/record.url?scp=85027923397&partnerID=8YFLogxK |
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ftubristolcris:oai:research-information.bris.ac.uk:publications/b26a02b5-e7c6-4c32-9762-18facb631343 2024-01-28T10:09:05+01:00 Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness Landy, Jack C. Komarov, Alexander S. Barber, David G. 2015-09-01 https://hdl.handle.net/1983/b26a02b5-e7c6-4c32-9762-18facb631343 https://research-information.bris.ac.uk/en/publications/b26a02b5-e7c6-4c32-9762-18facb631343 https://doi.org/10.1109/TGRS.2015.2412034 http://www.scopus.com/inward/record.url?scp=85027923397&partnerID=8YFLogxK eng eng info:eu-repo/semantics/restrictedAccess Landy , J C , Komarov , A S & Barber , D G 2015 , ' Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 53 , no. 9 , 7069263 , pp. 4887-4898 . https://doi.org/10.1109/TGRS.2015.2412034 Geophysical measurements laser applications laser measurementapplications modeling numerical analysis radar scattering rough surfaces sea ice surfaces article 2015 ftubristolcris https://doi.org/10.1109/TGRS.2015.2412034 2024-01-04T23:51:58Z Terrestrial light detection and ranging (LiDAR) offers significant advantages over conventional techniques for measuring the centimeter-scale surface roughness of natural surfaces, such as sea ice. However, the laser scanning technique is inherently limited, principally by the following: 1) the high inclination scanning angle of the sensor with respect to nadir; 2) the precision of the laser ranging estimate; and 3) the beam divergence of the laser. In this paper, we introduce a numerical model that has been designed to simulate the acquisition of LiDAR data over a regular rough surface. Results from the model compare well (r 2 = 0.97) with LiDAR observations collected over two experimental surfaces of known roughness that were constructed from medium-density fibreboard using a computer numerical control three-axis router. The model demonstrates that surface roughness parameters are not sensitive to minor variations in the LiDAR sensor's range and laser beam divergence, but are slightly sensitive to the precision of the ranging estimate. The model also demonstrates that surface roughness parameters are particularly sensitive to the inclination angle of the LiDAR sensor. The surface RMS height is underestimated, and the correlation length is overestimated as either the inclination angle of the sensor or the true roughness of the surface increases. An isotropic surface is also increasingly observed as an anisotropic surface as either the inclination angle or the true surface roughness increases. Based on the model results, we propose a set of calibration functions that can be used to correct in situ LiDAR measurements of surface roughness. Article in Journal/Newspaper Sea ice University of Bristol: Bristol Research IEEE Transactions on Geoscience and Remote Sensing 53 9 4887 4898 |
institution |
Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
English |
topic |
Geophysical measurements laser applications laser measurementapplications modeling numerical analysis radar scattering rough surfaces sea ice surfaces |
spellingShingle |
Geophysical measurements laser applications laser measurementapplications modeling numerical analysis radar scattering rough surfaces sea ice surfaces Landy, Jack C. Komarov, Alexander S. Barber, David G. Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
topic_facet |
Geophysical measurements laser applications laser measurementapplications modeling numerical analysis radar scattering rough surfaces sea ice surfaces |
description |
Terrestrial light detection and ranging (LiDAR) offers significant advantages over conventional techniques for measuring the centimeter-scale surface roughness of natural surfaces, such as sea ice. However, the laser scanning technique is inherently limited, principally by the following: 1) the high inclination scanning angle of the sensor with respect to nadir; 2) the precision of the laser ranging estimate; and 3) the beam divergence of the laser. In this paper, we introduce a numerical model that has been designed to simulate the acquisition of LiDAR data over a regular rough surface. Results from the model compare well (r 2 = 0.97) with LiDAR observations collected over two experimental surfaces of known roughness that were constructed from medium-density fibreboard using a computer numerical control three-axis router. The model demonstrates that surface roughness parameters are not sensitive to minor variations in the LiDAR sensor's range and laser beam divergence, but are slightly sensitive to the precision of the ranging estimate. The model also demonstrates that surface roughness parameters are particularly sensitive to the inclination angle of the LiDAR sensor. The surface RMS height is underestimated, and the correlation length is overestimated as either the inclination angle of the sensor or the true roughness of the surface increases. An isotropic surface is also increasingly observed as an anisotropic surface as either the inclination angle or the true surface roughness increases. Based on the model results, we propose a set of calibration functions that can be used to correct in situ LiDAR measurements of surface roughness. |
format |
Article in Journal/Newspaper |
author |
Landy, Jack C. Komarov, Alexander S. Barber, David G. |
author_facet |
Landy, Jack C. Komarov, Alexander S. Barber, David G. |
author_sort |
Landy, Jack C. |
title |
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
title_short |
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
title_full |
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
title_fullStr |
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
title_full_unstemmed |
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness |
title_sort |
numerical and experimental evaluation of terrestrial lidar for parameterizing centimeter-scale sea ice surface roughness |
publishDate |
2015 |
url |
https://hdl.handle.net/1983/b26a02b5-e7c6-4c32-9762-18facb631343 https://research-information.bris.ac.uk/en/publications/b26a02b5-e7c6-4c32-9762-18facb631343 https://doi.org/10.1109/TGRS.2015.2412034 http://www.scopus.com/inward/record.url?scp=85027923397&partnerID=8YFLogxK |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Landy , J C , Komarov , A S & Barber , D G 2015 , ' Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 53 , no. 9 , 7069263 , pp. 4887-4898 . https://doi.org/10.1109/TGRS.2015.2412034 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1109/TGRS.2015.2412034 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
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53 |
container_issue |
9 |
container_start_page |
4887 |
op_container_end_page |
4898 |
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