ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway)
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This latest version (2.0) of the dataset includes the orthorectified photographs that were used...
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ftzenodo:oai:zenodo.org:5010944 2024-09-15T18:17:59+00:00 ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) Kristoffer Aalstad Sebastian Westermann 2021-06-22 https://doi.org/10.5281/zenodo.5010944 eng eng Zenodo https://doi.org/10.1016/j.rse.2019.111618 https://doi.org/10.5194/tc-12-247-2018 https://doi.org/10.5281/zenodo.4294084 https://zenodo.org/communities/sios https://doi.org/10.5281/zenodo.4032910 https://doi.org/10.5281/zenodo.5010944 oai:zenodo.org:5010944 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Snow Snow cover Remote sensing Time-lapse photography Binary snow classification Snowmelt Permafrost Orthoimages Arctic Ny-Ålesund Svalbard Norway Orthophotos info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.501094410.1016/j.rse.2019.11161810.5194/tc-12-247-201810.5281/zenodo.429408410.5281/zenodo.4032910 2024-07-25T15:23:40Z The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This latest version (2.0) of the dataset includes the orthorectified photographs that were used to classify the binary snow cover images. The catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestrial automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue-band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway. This work was funded by SatPerm (239918; Research Council of Norway) and the European Space Agency Permafrost CCI project (https://climate.esa.int/en/projects/permafrost/). The dataset has been archived as a contribution to Chapter 10 of the State of Environmental Science in Svalbard (SESS) Report 2020 published by the Svalbard Integrated Arctic Earth Observing System (SIOS) in Longyearbyen, Svalbard, Norway. Other/Unknown Material Longyearbyen Ny Ålesund Ny-Ålesund permafrost Svalbard Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Snow Snow cover Remote sensing Time-lapse photography Binary snow classification Snowmelt Permafrost Orthoimages Arctic Ny-Ålesund Svalbard Norway Orthophotos |
spellingShingle |
Snow Snow cover Remote sensing Time-lapse photography Binary snow classification Snowmelt Permafrost Orthoimages Arctic Ny-Ålesund Svalbard Norway Orthophotos Kristoffer Aalstad Sebastian Westermann ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
topic_facet |
Snow Snow cover Remote sensing Time-lapse photography Binary snow classification Snowmelt Permafrost Orthoimages Arctic Ny-Ålesund Svalbard Norway Orthophotos |
description |
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This latest version (2.0) of the dataset includes the orthorectified photographs that were used to classify the binary snow cover images. The catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestrial automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue-band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway. This work was funded by SatPerm (239918; Research Council of Norway) and the European Space Agency Permafrost CCI project (https://climate.esa.int/en/projects/permafrost/). The dataset has been archived as a contribution to Chapter 10 of the State of Environmental Science in Svalbard (SESS) Report 2020 published by the Svalbard Integrated Arctic Earth Observing System (SIOS) in Longyearbyen, Svalbard, Norway. |
format |
Other/Unknown Material |
author |
Kristoffer Aalstad Sebastian Westermann |
author_facet |
Kristoffer Aalstad Sebastian Westermann |
author_sort |
Kristoffer Aalstad |
title |
ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
title_short |
ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
title_full |
ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
title_fullStr |
ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
title_full_unstemmed |
ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment (Svalbard, Norway) |
title_sort |
acs_bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the bayelva catchment (svalbard, norway) |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.5010944 |
genre |
Longyearbyen Ny Ålesund Ny-Ålesund permafrost Svalbard |
genre_facet |
Longyearbyen Ny Ålesund Ny-Ålesund permafrost Svalbard |
op_relation |
https://doi.org/10.1016/j.rse.2019.111618 https://doi.org/10.5194/tc-12-247-2018 https://doi.org/10.5281/zenodo.4294084 https://zenodo.org/communities/sios https://doi.org/10.5281/zenodo.4032910 https://doi.org/10.5281/zenodo.5010944 oai:zenodo.org:5010944 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.501094410.1016/j.rse.2019.11161810.5194/tc-12-247-201810.5281/zenodo.429408410.5281/zenodo.4032910 |
_version_ |
1810456109509509120 |