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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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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1774723505699422208 |