Secondary-scale surface roughness parameterization using terrestrial LiDAR
The centimeter-scale roughness of natural surfaces, such as soil and sea ice, influences both microwave scattering and turbulent exchanges of heat and momentum between the surface and atmosphere. In this paper, we present a technique for determining surface roughness parameters from high-resolution...
Published in: | 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
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Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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Online Access: | https://hdl.handle.net/1983/badaaa4d-d08d-408c-8781-a7b01c281bff https://research-information.bris.ac.uk/en/publications/badaaa4d-d08d-408c-8781-a7b01c281bff https://doi.org/10.1109/IGARSS.2015.7326208 http://www.scopus.com/inward/record.url?scp=84962563258&partnerID=8YFLogxK |
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ftubristolcris:oai:research-information.bris.ac.uk:publications/badaaa4d-d08d-408c-8781-a7b01c281bff 2024-01-28T10:09:05+01:00 Secondary-scale surface roughness parameterization using terrestrial LiDAR Landy, J. C. Komarov, A. S. Barber, D. G. 2015-11-10 https://hdl.handle.net/1983/badaaa4d-d08d-408c-8781-a7b01c281bff https://research-information.bris.ac.uk/en/publications/badaaa4d-d08d-408c-8781-a7b01c281bff https://doi.org/10.1109/IGARSS.2015.7326208 http://www.scopus.com/inward/record.url?scp=84962563258&partnerID=8YFLogxK eng eng Institute of Electrical and Electronics Engineers (IEEE) info:eu-repo/semantics/restrictedAccess Landy , J C , Komarov , A S & Barber , D G 2015 , Secondary-scale surface roughness parameterization using terrestrial LiDAR . in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings . vol. 2015-November , 7326208 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 2068-2071 , IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 , Milan , Italy , 26/07/15 . https://doi.org/10.1109/IGARSS.2015.7326208 Geophysical measurements laser applications numerical modelling parameter estimation sea ice surface roughness contributionToPeriodical 2015 ftubristolcris https://doi.org/10.1109/IGARSS.2015.7326208 2024-01-04T23:51:58Z The centimeter-scale roughness of natural surfaces, such as soil and sea ice, influences both microwave scattering and turbulent exchanges of heat and momentum between the surface and atmosphere. In this paper, we present a technique for determining surface roughness parameters from high-resolution terrestrial Light Detection and Ranging (LiDAR) data. Field tests demonstrate that the two-dimensional roughness parameters obtained are considerably more precise than parameters determined from traditional one-dimensional profiling techniques. However, laboratory experiments show that the accuracy of the measured roughness parameters is limited by the high inclination scanning angle of the LiDAR system. Results from a numerical model are used to determine a set of calibration functions which can be used to easily correct the LiDAR measurements for the inclination angle effects. Article in Journal/Newspaper Sea ice University of Bristol: Bristol Research 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2068 2071 |
institution |
Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
English |
topic |
Geophysical measurements laser applications numerical modelling parameter estimation sea ice surface roughness |
spellingShingle |
Geophysical measurements laser applications numerical modelling parameter estimation sea ice surface roughness Landy, J. C. Komarov, A. S. Barber, D. G. Secondary-scale surface roughness parameterization using terrestrial LiDAR |
topic_facet |
Geophysical measurements laser applications numerical modelling parameter estimation sea ice surface roughness |
description |
The centimeter-scale roughness of natural surfaces, such as soil and sea ice, influences both microwave scattering and turbulent exchanges of heat and momentum between the surface and atmosphere. In this paper, we present a technique for determining surface roughness parameters from high-resolution terrestrial Light Detection and Ranging (LiDAR) data. Field tests demonstrate that the two-dimensional roughness parameters obtained are considerably more precise than parameters determined from traditional one-dimensional profiling techniques. However, laboratory experiments show that the accuracy of the measured roughness parameters is limited by the high inclination scanning angle of the LiDAR system. Results from a numerical model are used to determine a set of calibration functions which can be used to easily correct the LiDAR measurements for the inclination angle effects. |
format |
Article in Journal/Newspaper |
author |
Landy, J. C. Komarov, A. S. Barber, D. G. |
author_facet |
Landy, J. C. Komarov, A. S. Barber, D. G. |
author_sort |
Landy, J. C. |
title |
Secondary-scale surface roughness parameterization using terrestrial LiDAR |
title_short |
Secondary-scale surface roughness parameterization using terrestrial LiDAR |
title_full |
Secondary-scale surface roughness parameterization using terrestrial LiDAR |
title_fullStr |
Secondary-scale surface roughness parameterization using terrestrial LiDAR |
title_full_unstemmed |
Secondary-scale surface roughness parameterization using terrestrial LiDAR |
title_sort |
secondary-scale surface roughness parameterization using terrestrial lidar |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2015 |
url |
https://hdl.handle.net/1983/badaaa4d-d08d-408c-8781-a7b01c281bff https://research-information.bris.ac.uk/en/publications/badaaa4d-d08d-408c-8781-a7b01c281bff https://doi.org/10.1109/IGARSS.2015.7326208 http://www.scopus.com/inward/record.url?scp=84962563258&partnerID=8YFLogxK |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Landy , J C , Komarov , A S & Barber , D G 2015 , Secondary-scale surface roughness parameterization using terrestrial LiDAR . in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings . vol. 2015-November , 7326208 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 2068-2071 , IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 , Milan , Italy , 26/07/15 . https://doi.org/10.1109/IGARSS.2015.7326208 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1109/IGARSS.2015.7326208 |
container_title |
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
container_start_page |
2068 |
op_container_end_page |
2071 |
_version_ |
1789338643997917184 |