Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack

Snow microstructure is an important factor for microwave and optical remote sensing of snow. One parameter used to describe it is the specific surface area (SSA), which is defined as the surface-area-to-mass ratio of snow grains. Reflectance at near infrared (NIR) and short-wave infrared (SWIR) wave...

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Published in:Geosciences
Main Authors: Leena Leppänen, Anna Kontu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/geosciences8110404
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spelling ftmdpi:oai:mdpi.com:/2076-3263/8/11/404/ 2023-08-20T04:09:48+02:00 Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack Leena Leppänen Anna Kontu agris 2018-11-06 application/pdf https://doi.org/10.3390/geosciences8110404 EN eng Multidisciplinary Digital Publishing Institute Geophysics https://dx.doi.org/10.3390/geosciences8110404 https://creativecommons.org/licenses/by/4.0/ Geosciences; Volume 8; Issue 11; Pages: 404 near-infrared reflectance specific surface area spectrometer snow microstructure Text 2018 ftmdpi https://doi.org/10.3390/geosciences8110404 2023-07-31T21:49:31Z Snow microstructure is an important factor for microwave and optical remote sensing of snow. One parameter used to describe it is the specific surface area (SSA), which is defined as the surface-area-to-mass ratio of snow grains. Reflectance at near infrared (NIR) and short-wave infrared (SWIR) wavelengths is sensitive to grain size and therefore also to SSA through the theoretical relationship between SSA and optical equivalent grain size. To observe SSA, the IceCube measures the hemispherical reflectance of a 1310 nm laser diode from the snow sample surface. The recently developed hand-held QualitySpec Trek (QST) instrument measures the almost bidirectional spectral reflectance in the range of 350–2500 nm with direct contact to the object. The geometry is similar to the Contact Probe, which was previously used successfully for snow measurements. The collected data set includes five snow pit measurements made using both IceCube and QST in a taiga snowpack in spring 2017 in Sodankylä, Finland. In this study, the correlation between SSA and a ratio of 1260 nm reflectance to differentiate between 1260 nm and 1160 nm reflectances is researched. The correlation coefficient varied between 0.85 and 0.98, which demonstrates an empirical linear relationship between SSA and reflectance observations of QST. Text Sodankylä taiga MDPI Open Access Publishing Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Geosciences 8 11 404
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic near-infrared reflectance
specific surface area
spectrometer
snow microstructure
spellingShingle near-infrared reflectance
specific surface area
spectrometer
snow microstructure
Leena Leppänen
Anna Kontu
Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
topic_facet near-infrared reflectance
specific surface area
spectrometer
snow microstructure
description Snow microstructure is an important factor for microwave and optical remote sensing of snow. One parameter used to describe it is the specific surface area (SSA), which is defined as the surface-area-to-mass ratio of snow grains. Reflectance at near infrared (NIR) and short-wave infrared (SWIR) wavelengths is sensitive to grain size and therefore also to SSA through the theoretical relationship between SSA and optical equivalent grain size. To observe SSA, the IceCube measures the hemispherical reflectance of a 1310 nm laser diode from the snow sample surface. The recently developed hand-held QualitySpec Trek (QST) instrument measures the almost bidirectional spectral reflectance in the range of 350–2500 nm with direct contact to the object. The geometry is similar to the Contact Probe, which was previously used successfully for snow measurements. The collected data set includes five snow pit measurements made using both IceCube and QST in a taiga snowpack in spring 2017 in Sodankylä, Finland. In this study, the correlation between SSA and a ratio of 1260 nm reflectance to differentiate between 1260 nm and 1160 nm reflectances is researched. The correlation coefficient varied between 0.85 and 0.98, which demonstrates an empirical linear relationship between SSA and reflectance observations of QST.
format Text
author Leena Leppänen
Anna Kontu
author_facet Leena Leppänen
Anna Kontu
author_sort Leena Leppänen
title Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
title_short Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
title_full Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
title_fullStr Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
title_full_unstemmed Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
title_sort analysis of qualityspec trek reflectance from vertical profiles of taiga snowpack
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/geosciences8110404
op_coverage agris
long_lat ENVELOPE(26.600,26.600,67.417,67.417)
geographic Sodankylä
geographic_facet Sodankylä
genre Sodankylä
taiga
genre_facet Sodankylä
taiga
op_source Geosciences; Volume 8; Issue 11; Pages: 404
op_relation Geophysics
https://dx.doi.org/10.3390/geosciences8110404
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/geosciences8110404
container_title Geosciences
container_volume 8
container_issue 11
container_start_page 404
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