In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager

Effective snow grain radius (re) is mapped at high resolution using near-infrared hyperspectral imaging (NIR-HSI). The NIR-HSI method can be used to quantify re spatial variability, change in re due to metamorphism, and visualize water percolation in the snowpack. Results are presented for three dif...

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Published in:Journal of Glaciology
Main Authors: Donahue, Christopher, Skiles, S. McKenzie, Hammonds, Kevin
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://scholarworks.montana.edu/xmlui/handle/1/16539
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spelling ftmontanastateu:oai:scholarworks.montana.edu:1/16539 2023-05-15T16:57:37+02:00 In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager Donahue, Christopher Skiles, S. McKenzie Hammonds, Kevin 2021-02 application/pdf https://scholarworks.montana.edu/xmlui/handle/1/16539 en_US eng Donahue, Christopher, S. McKenzie Skiles, and Kevin Hammonds. “In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager.” Journal of Glaciology 67, no. 261 (2021): 49–57. doi:10.1017/jog.2020.68. 0022-1430 https://scholarworks.montana.edu/xmlui/handle/1/16539 © This final published version is made available under the CC-BY 4.0 license. http://creativecommons.org/licenses/by/4.0/ CC-BY Article 2021 ftmontanastateu https://doi.org/10.1017/jog.2020.68 2022-06-06T07:25:11Z Effective snow grain radius (re) is mapped at high resolution using near-infrared hyperspectral imaging (NIR-HSI). The NIR-HSI method can be used to quantify re spatial variability, change in re due to metamorphism, and visualize water percolation in the snowpack. Results are presented for three different laboratory-prepared snow samples (homogeneous, ice lens, fine grains over coarse grains), the sidewalls of which were imaged before and after melt induced by a solar lamp. The spectral reflectance in each ~3 mm pixel was inverted for re using the scaled band area of the ice absorption feature centered at 1030 nm, producing re maps consisting of 54 740 pixels. All snow samples exhibited grain coarsening post-melt as the result of wet snow metamorphism, which is quantified by the change in re distributions from pre- and post-melt images. The NIR-HSI method was compared to re retrievals from a field spectrometer and X-ray computed microtomography (micro-CT), resulting in the spectrometer having the same mean re and micro-CT having 23.9% higher mean re than the hyperspectral imager. As compact hyperspectral imagers become more widely available, this method may be a valuable tool for assessing re spatial variability and snow metamorphism in field and laboratory settings. Article in Journal/Newspaper Journal of Glaciology Montana State University (MSU): ScholarWorks Journal of Glaciology 67 261 49 57
institution Open Polar
collection Montana State University (MSU): ScholarWorks
op_collection_id ftmontanastateu
language English
description Effective snow grain radius (re) is mapped at high resolution using near-infrared hyperspectral imaging (NIR-HSI). The NIR-HSI method can be used to quantify re spatial variability, change in re due to metamorphism, and visualize water percolation in the snowpack. Results are presented for three different laboratory-prepared snow samples (homogeneous, ice lens, fine grains over coarse grains), the sidewalls of which were imaged before and after melt induced by a solar lamp. The spectral reflectance in each ~3 mm pixel was inverted for re using the scaled band area of the ice absorption feature centered at 1030 nm, producing re maps consisting of 54 740 pixels. All snow samples exhibited grain coarsening post-melt as the result of wet snow metamorphism, which is quantified by the change in re distributions from pre- and post-melt images. The NIR-HSI method was compared to re retrievals from a field spectrometer and X-ray computed microtomography (micro-CT), resulting in the spectrometer having the same mean re and micro-CT having 23.9% higher mean re than the hyperspectral imager. As compact hyperspectral imagers become more widely available, this method may be a valuable tool for assessing re spatial variability and snow metamorphism in field and laboratory settings.
format Article in Journal/Newspaper
author Donahue, Christopher
Skiles, S. McKenzie
Hammonds, Kevin
spellingShingle Donahue, Christopher
Skiles, S. McKenzie
Hammonds, Kevin
In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
author_facet Donahue, Christopher
Skiles, S. McKenzie
Hammonds, Kevin
author_sort Donahue, Christopher
title In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
title_short In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
title_full In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
title_fullStr In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
title_full_unstemmed In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager
title_sort in situ effective snow grain size mapping using a compact hyperspectral imager
publishDate 2021
url https://scholarworks.montana.edu/xmlui/handle/1/16539
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_relation Donahue, Christopher, S. McKenzie Skiles, and Kevin Hammonds. “In Situ Effective Snow Grain Size Mapping Using a Compact Hyperspectral Imager.” Journal of Glaciology 67, no. 261 (2021): 49–57. doi:10.1017/jog.2020.68.
0022-1430
https://scholarworks.montana.edu/xmlui/handle/1/16539
op_rights © This final published version is made available under the CC-BY 4.0 license.
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1017/jog.2020.68
container_title Journal of Glaciology
container_volume 67
container_issue 261
container_start_page 49
op_container_end_page 57
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