Instruments and Methods In situ measurements of snow surface roughness using a laser profiler

ABSTRACT. The snow surface roughness at centimetre and millimetre scales is an important parameter related to wind transport, snowdrifts, snowfall, snowmelt and snow grain size. Knowledge of the snow surface roughness is also of high interest for analyzing the signal from radar sensors such as SAR,...

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Main Author: M. Dechambre
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.1734
http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.692.1734 2023-05-15T16:22:17+02:00 Instruments and Methods In situ measurements of snow surface roughness using a laser profiler M. Dechambre The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.1734 http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.1734 http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf text ftciteseerx 2016-01-08T18:27:10Z ABSTRACT. The snow surface roughness at centimetre and millimetre scales is an important parameter related to wind transport, snowdrifts, snowfall, snowmelt and snow grain size. Knowledge of the snow surface roughness is also of high interest for analyzing the signal from radar sensors such as SAR, altimeters and scatterometers. Unfortunately, this parameter has seldom been measured over snow surfaces. The techniques used to measure the roughness of other surfaces, such as agricultural or sand soils, are difficult to implement in polar regions because of the harsh climatic conditions. In this paper we develop a device based on a laser profiler coupled with a GPS receiver on board a snowmobile. This instrumentation was tested successfully in midre Lovénbreen, Svalbard, in April 2006. It allowed us to generate profiles of 3 km sections of the snow-covered glacier surface. Because of the motion of the snowmobile, the roughness signal is mixed with the snowmobile signal. We use a distance/frequency analysis (the empirical mode decomposition) to filter the signal. This method allows us to recover the snow surface structures of wavelengths between 4 and 50 cm with amplitudes of>1mm. Finally, the roughness parameters of snow surfaces are retrieved. The snow surface roughness is found to be dependent on the scales of the observations. The retrieved RMS of the height distribution is found to vary between 0.5 and 9.2mm, and the correlation length is found to be between 0.6 and 46 cm. This range of measurements is particularly well adapted to the analysis of GHz radar response on snow surfaces. Text glacier Svalbard Unknown Svalbard
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description ABSTRACT. The snow surface roughness at centimetre and millimetre scales is an important parameter related to wind transport, snowdrifts, snowfall, snowmelt and snow grain size. Knowledge of the snow surface roughness is also of high interest for analyzing the signal from radar sensors such as SAR, altimeters and scatterometers. Unfortunately, this parameter has seldom been measured over snow surfaces. The techniques used to measure the roughness of other surfaces, such as agricultural or sand soils, are difficult to implement in polar regions because of the harsh climatic conditions. In this paper we develop a device based on a laser profiler coupled with a GPS receiver on board a snowmobile. This instrumentation was tested successfully in midre Lovénbreen, Svalbard, in April 2006. It allowed us to generate profiles of 3 km sections of the snow-covered glacier surface. Because of the motion of the snowmobile, the roughness signal is mixed with the snowmobile signal. We use a distance/frequency analysis (the empirical mode decomposition) to filter the signal. This method allows us to recover the snow surface structures of wavelengths between 4 and 50 cm with amplitudes of>1mm. Finally, the roughness parameters of snow surfaces are retrieved. The snow surface roughness is found to be dependent on the scales of the observations. The retrieved RMS of the height distribution is found to vary between 0.5 and 9.2mm, and the correlation length is found to be between 0.6 and 46 cm. This range of measurements is particularly well adapted to the analysis of GHz radar response on snow surfaces.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author M. Dechambre
spellingShingle M. Dechambre
Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
author_facet M. Dechambre
author_sort M. Dechambre
title Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
title_short Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
title_full Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
title_fullStr Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
title_full_unstemmed Instruments and Methods In situ measurements of snow surface roughness using a laser profiler
title_sort instruments and methods in situ measurements of snow surface roughness using a laser profiler
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.692.1734
http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf
geographic Svalbard
geographic_facet Svalbard
genre glacier
Svalbard
genre_facet glacier
Svalbard
op_source http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf
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http://remy.omp.free.fr/FTP/article/63-lacroix-rugosit%C3%A9.pdf
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