Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ...
A NIR camera allows a measurement of the reflectance of the snow profile wall to identify layers of snow grains with different specific surface area (SSA) with a spatial resolution of about 1 mm. The processing of the images of RGB-cameras must consider the sensitivity of the different color pixels....
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2022
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Online Access: | https://dx.doi.org/10.1594/pangaea.940129 https://doi.pangaea.de/10.1594/PANGAEA.940129 |
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ftdatacite:10.1594/pangaea.940129 2024-10-29T17:47:06+00:00 Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... Macfarlane, Amy R Schneebeli, Martin Dadic, Ruzica Wagner, David N Arndt, Stefanie Clemens-Sewall, David Hämmerle, Stefan Hannula, Henna-Reetta Jaggi, Matthias Kolabutin, Nikolai Krampe, Daniela Lehning, Michael Matero, Ilkka Nicolaus, Marcel Oggier, Marc Pirazzini, Roberta Polashenski, Chris Raphael, Ian Regnery, Julia Shimanchuck, Egor Smith, Madison M Tavri, Aikaterini 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.940129 https://doi.pangaea.de/10.1594/PANGAEA.940129 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.935934 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Event label DATE/TIME Latitude of event Longitude of event Image File Size Image Video File Size Video Location Wavelength Comment Snow pit Camera, Near-InfraRed PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94012910.1594/pangaea.935934 2024-10-01T12:14:25Z A NIR camera allows a measurement of the reflectance of the snow profile wall to identify layers of snow grains with different specific surface area (SSA) with a spatial resolution of about 1 mm. The processing of the images of RGB-cameras must consider the sensitivity of the different color pixels. The setup of the reference targets, the flat surface and the diffuse illumination is important to get high-quality images. A geometrically corrected NIR-photo gives an objective measure of the snow stratigraphy and is observer independent. This efficient measurement has been adapted for use in polar night and day by blocking out external sunlight and packaging the camera and the illuminating infrared lights into a wooden box. The width and height of the inside of the box was 500 x 675 mm. A blanket was used to prevent any light seeping through. Inside the box, lambertian reflectance targets were mounted to account for any irregular light conditions. For MOSAiC, we used lights with two different wavelengths, 850 ... Dataset polar night DataCite Arctic |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Event label DATE/TIME Latitude of event Longitude of event Image File Size Image Video File Size Video Location Wavelength Comment Snow pit Camera, Near-InfraRed PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
Event label DATE/TIME Latitude of event Longitude of event Image File Size Image Video File Size Video Location Wavelength Comment Snow pit Camera, Near-InfraRed PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Macfarlane, Amy R Schneebeli, Martin Dadic, Ruzica Wagner, David N Arndt, Stefanie Clemens-Sewall, David Hämmerle, Stefan Hannula, Henna-Reetta Jaggi, Matthias Kolabutin, Nikolai Krampe, Daniela Lehning, Michael Matero, Ilkka Nicolaus, Marcel Oggier, Marc Pirazzini, Roberta Polashenski, Chris Raphael, Ian Regnery, Julia Shimanchuck, Egor Smith, Madison M Tavri, Aikaterini Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
topic_facet |
Event label DATE/TIME Latitude of event Longitude of event Image File Size Image Video File Size Video Location Wavelength Comment Snow pit Camera, Near-InfraRed PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic ARICE Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
A NIR camera allows a measurement of the reflectance of the snow profile wall to identify layers of snow grains with different specific surface area (SSA) with a spatial resolution of about 1 mm. The processing of the images of RGB-cameras must consider the sensitivity of the different color pixels. The setup of the reference targets, the flat surface and the diffuse illumination is important to get high-quality images. A geometrically corrected NIR-photo gives an objective measure of the snow stratigraphy and is observer independent. This efficient measurement has been adapted for use in polar night and day by blocking out external sunlight and packaging the camera and the illuminating infrared lights into a wooden box. The width and height of the inside of the box was 500 x 675 mm. A blanket was used to prevent any light seeping through. Inside the box, lambertian reflectance targets were mounted to account for any irregular light conditions. For MOSAiC, we used lights with two different wavelengths, 850 ... |
format |
Dataset |
author |
Macfarlane, Amy R Schneebeli, Martin Dadic, Ruzica Wagner, David N Arndt, Stefanie Clemens-Sewall, David Hämmerle, Stefan Hannula, Henna-Reetta Jaggi, Matthias Kolabutin, Nikolai Krampe, Daniela Lehning, Michael Matero, Ilkka Nicolaus, Marcel Oggier, Marc Pirazzini, Roberta Polashenski, Chris Raphael, Ian Regnery, Julia Shimanchuck, Egor Smith, Madison M Tavri, Aikaterini |
author_facet |
Macfarlane, Amy R Schneebeli, Martin Dadic, Ruzica Wagner, David N Arndt, Stefanie Clemens-Sewall, David Hämmerle, Stefan Hannula, Henna-Reetta Jaggi, Matthias Kolabutin, Nikolai Krampe, Daniela Lehning, Michael Matero, Ilkka Nicolaus, Marcel Oggier, Marc Pirazzini, Roberta Polashenski, Chris Raphael, Ian Regnery, Julia Shimanchuck, Egor Smith, Madison M Tavri, Aikaterini |
author_sort |
Macfarlane, Amy R |
title |
Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
title_short |
Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
title_full |
Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
title_fullStr |
Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
title_full_unstemmed |
Snowpit near-infrared (NIR) images collected during the MOSAiC expedition ... |
title_sort |
snowpit near-infrared (nir) images collected during the mosaic expedition ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.940129 https://doi.pangaea.de/10.1594/PANGAEA.940129 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
polar night |
genre_facet |
polar night |
op_relation |
https://dx.doi.org/10.1594/pangaea.935934 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.94012910.1594/pangaea.935934 |
_version_ |
1814276643446849536 |