Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery
Snow cover is one of the crucial factors influencing the plant distribution in harsh Arctic regions. In tundra environments, wind redistribution of snow leads to a very heterogeneous spatial distribution which influences growth conditions for plants. Therefore, relationships between snow cover and v...
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ftdoajarticles:oai:doaj.org/article:0062697b4ba646dc82fd9803f8a30a72 2023-05-15T14:54:19+02:00 Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery Daniel Kępski Bartłomiej Luks Krzysztof Migała Tomasz Wawrzyniak Sebastian Westermann Bronisław Wojtuń 2017-07-01T00:00:00Z https://doi.org/10.3390/rs9070733 https://doaj.org/article/0062697b4ba646dc82fd9803f8a30a72 EN eng MDPI AG https://www.mdpi.com/2072-4292/9/7/733 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9070733 https://doaj.org/article/0062697b4ba646dc82fd9803f8a30a72 Remote Sensing, Vol 9, Iss 7, p 733 (2017) snow cover dynamics snowmelt ground based camera time-lapse photography orthorectification tundra vegetation tundra environment arctic Svalbard Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9070733 2022-12-31T10:53:39Z Snow cover is one of the crucial factors influencing the plant distribution in harsh Arctic regions. In tundra environments, wind redistribution of snow leads to a very heterogeneous spatial distribution which influences growth conditions for plants. Therefore, relationships between snow cover and vegetation should be analyzed spatially. In this study, we correlate spatial data sets on tundra vegetation types with snow cover information obtained from orthorectification and classification of images collected from a time-lapse camera installed on a mountain summit. The spatial analysis was performed over an area of 0.72 km2, representing a coastal tundra environment in southern Svalbard. The three-year monitoring is supplemented by manual measurements of snow depth, which show a statistically significant relationship between snow abundance and the occurrence of some of the analyzed land cover types. The longest snow cover duration was found on “rock debris” type and the shortest on “lichen-herb-heath tundra”, resulting in melt-out time-lag of almost two weeks between this two land cover types. The snow distribution proved to be consistent over the different years with a similar melt-out pattern occurring in every analyzed season, despite changing melt-out dates related to different weather conditions. The data set of 203 high resolution processed images used in this work is available for download in the supplementary materials. Article in Journal/Newspaper Arctic Svalbard Tundra Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Remote Sensing 9 7 733 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
snow cover dynamics snowmelt ground based camera time-lapse photography orthorectification tundra vegetation tundra environment arctic Svalbard Science Q |
spellingShingle |
snow cover dynamics snowmelt ground based camera time-lapse photography orthorectification tundra vegetation tundra environment arctic Svalbard Science Q Daniel Kępski Bartłomiej Luks Krzysztof Migała Tomasz Wawrzyniak Sebastian Westermann Bronisław Wojtuń Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
topic_facet |
snow cover dynamics snowmelt ground based camera time-lapse photography orthorectification tundra vegetation tundra environment arctic Svalbard Science Q |
description |
Snow cover is one of the crucial factors influencing the plant distribution in harsh Arctic regions. In tundra environments, wind redistribution of snow leads to a very heterogeneous spatial distribution which influences growth conditions for plants. Therefore, relationships between snow cover and vegetation should be analyzed spatially. In this study, we correlate spatial data sets on tundra vegetation types with snow cover information obtained from orthorectification and classification of images collected from a time-lapse camera installed on a mountain summit. The spatial analysis was performed over an area of 0.72 km2, representing a coastal tundra environment in southern Svalbard. The three-year monitoring is supplemented by manual measurements of snow depth, which show a statistically significant relationship between snow abundance and the occurrence of some of the analyzed land cover types. The longest snow cover duration was found on “rock debris” type and the shortest on “lichen-herb-heath tundra”, resulting in melt-out time-lag of almost two weeks between this two land cover types. The snow distribution proved to be consistent over the different years with a similar melt-out pattern occurring in every analyzed season, despite changing melt-out dates related to different weather conditions. The data set of 203 high resolution processed images used in this work is available for download in the supplementary materials. |
format |
Article in Journal/Newspaper |
author |
Daniel Kępski Bartłomiej Luks Krzysztof Migała Tomasz Wawrzyniak Sebastian Westermann Bronisław Wojtuń |
author_facet |
Daniel Kępski Bartłomiej Luks Krzysztof Migała Tomasz Wawrzyniak Sebastian Westermann Bronisław Wojtuń |
author_sort |
Daniel Kępski |
title |
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
title_short |
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
title_full |
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
title_fullStr |
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
title_full_unstemmed |
Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery |
title_sort |
terrestrial remote sensing of snowmelt in a diverse high-arctic tundra environment using time-lapse imagery |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9070733 https://doaj.org/article/0062697b4ba646dc82fd9803f8a30a72 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Arctic Svalbard Tundra |
genre_facet |
Arctic Svalbard Tundra |
op_source |
Remote Sensing, Vol 9, Iss 7, p 733 (2017) |
op_relation |
https://www.mdpi.com/2072-4292/9/7/733 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9070733 https://doaj.org/article/0062697b4ba646dc82fd9803f8a30a72 |
op_doi |
https://doi.org/10.3390/rs9070733 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
7 |
container_start_page |
733 |
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1766326038785163264 |