Secondary-scale surface roughness parameterization using terrestrial LiDAR

J. C. Landy; A. S. Komarov; D. G. Barber

doi:10.1109/IGARSS.2015.7326208

Secondary-scale surface roughness parameterization using terrestrial LiDAR

J. C. Landy, A. S. Komarov, D. G. Barber

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

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.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2068-2071
Number of pages	4
Volume	2015-November
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7326208
Publication status	Published - 10 Nov 2015
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country	Italy
City	Milan
Period	26/07/15 → 31/07/15

Keywords

Geophysical measurements
laser applications
numerical modelling
parameter estimation
sea ice
surface roughness

Access to Document

10.1109/IGARSS.2015.7326208

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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, pp. 2068-2071). [7326208] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2015.7326208

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Landy, JC, Komarov, AS & Barber, DG 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

Secondary-scale surface roughness parameterization using terrestrial LiDAR. / Landy, J. C.; Komarov, A. S.; Barber, D. G.

2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Vol. 2015-November Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 2068-2071 7326208.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Komarov, A. S.

AU - Barber, D. G.

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N2 - 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.

AB - 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.

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KW - laser applications

KW - numerical modelling

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KW - sea ice

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