The role of lake size and local phenomena for monitoring ground-fast lake ice
In this study, we assess the effect of the lake size on the accuracy of a threshold-based classification of ground-fast and floating lake ice from Sentinel-1 Synthetic Aperture Radar (SAR) imagery. For that purpose, two new methods (flood-fill and watershed method) are introduced and the results bet...
Published in: | International Journal of Remote Sensing |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2018
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Online Access: | https://erepo.uef.fi/handle/123456789/7110 |
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ftuniveasternfin:oai:erepo.uef.fi:123456789/7110 2023-05-15T18:45:33+02:00 The role of lake size and local phenomena for monitoring ground-fast lake ice Pointner, Georg Bartsch, Annett Forbes, Bruce C Kumpula, Timo Department of Geographical and Historical Studies / Geography 2018-10-30T09:05:06Z 832-858 https://erepo.uef.fi/handle/123456789/7110 eng eng Informa UK Limited International Journal of Remote Sensing http://dx.doi.org/10.1080/01431161.2018.1519281 10.1080/01431161.2018.1519281 0143-1161 3 40 https://erepo.uef.fi/handle/123456789/7110 CC BY 4.0 openAccess © 2018 Authors https://creativecommons.org/licenses/by/4.0/ CC-BY Tieteelliset aikakauslehtiartikkelit A1 Artikkeli Article 2018 ftuniveasternfin https://doi.org/10.1080/01431161.2018.1519281 2023-01-25T23:58:26Z In this study, we assess the effect of the lake size on the accuracy of a threshold-based classification of ground-fast and floating lake ice from Sentinel-1 Synthetic Aperture Radar (SAR) imagery. For that purpose, two new methods (flood-fill and watershed method) are introduced and the results between the three classification approaches are compared regarding different lake size classes for a study area covering most of the Yamal Peninsula in Western Siberia. The focus is on April, the stage of maximum lake ice thickness, for the years 2016 and 2017. The results indicate that the largest lakes are likely most prone to errors by the threshold classification. The newly introduced methods seem to improve classification results. The results also show differences in fractions of ground-fast lake ice between 2016 and 2017, which might reflect differences in temperatures between the winters with severe impact on wildlife and freshwater fish resources in the region. Patterns of low backscatter responsible for the classification errors in the centre of the lakes were investigated and compared to the optical Sentinel-2 imagery of late-winter. Strong similarities between some patterns in the optical and SAR data were identified. They might be zones of thin ice, but further research is required for clarification of this phenomenon and its causes. published version peerReviewed Article in Journal/Newspaper Yamal Peninsula Siberia UEF eRepository (University of Eastern Finland) Fast Lake ENVELOPE(-108.251,-108.251,59.983,59.983) Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) International Journal of Remote Sensing 40 3 832 858 |
institution |
Open Polar |
collection |
UEF eRepository (University of Eastern Finland) |
op_collection_id |
ftuniveasternfin |
language |
English |
description |
In this study, we assess the effect of the lake size on the accuracy of a threshold-based classification of ground-fast and floating lake ice from Sentinel-1 Synthetic Aperture Radar (SAR) imagery. For that purpose, two new methods (flood-fill and watershed method) are introduced and the results between the three classification approaches are compared regarding different lake size classes for a study area covering most of the Yamal Peninsula in Western Siberia. The focus is on April, the stage of maximum lake ice thickness, for the years 2016 and 2017. The results indicate that the largest lakes are likely most prone to errors by the threshold classification. The newly introduced methods seem to improve classification results. The results also show differences in fractions of ground-fast lake ice between 2016 and 2017, which might reflect differences in temperatures between the winters with severe impact on wildlife and freshwater fish resources in the region. Patterns of low backscatter responsible for the classification errors in the centre of the lakes were investigated and compared to the optical Sentinel-2 imagery of late-winter. Strong similarities between some patterns in the optical and SAR data were identified. They might be zones of thin ice, but further research is required for clarification of this phenomenon and its causes. published version peerReviewed |
author2 |
Department of Geographical and Historical Studies / Geography |
format |
Article in Journal/Newspaper |
author |
Pointner, Georg Bartsch, Annett Forbes, Bruce C Kumpula, Timo |
spellingShingle |
Pointner, Georg Bartsch, Annett Forbes, Bruce C Kumpula, Timo The role of lake size and local phenomena for monitoring ground-fast lake ice |
author_facet |
Pointner, Georg Bartsch, Annett Forbes, Bruce C Kumpula, Timo |
author_sort |
Pointner, Georg |
title |
The role of lake size and local phenomena for monitoring ground-fast lake ice |
title_short |
The role of lake size and local phenomena for monitoring ground-fast lake ice |
title_full |
The role of lake size and local phenomena for monitoring ground-fast lake ice |
title_fullStr |
The role of lake size and local phenomena for monitoring ground-fast lake ice |
title_full_unstemmed |
The role of lake size and local phenomena for monitoring ground-fast lake ice |
title_sort |
role of lake size and local phenomena for monitoring ground-fast lake ice |
publisher |
Informa UK Limited |
publishDate |
2018 |
url |
https://erepo.uef.fi/handle/123456789/7110 |
long_lat |
ENVELOPE(-108.251,-108.251,59.983,59.983) ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Fast Lake Yamal Peninsula |
geographic_facet |
Fast Lake Yamal Peninsula |
genre |
Yamal Peninsula Siberia |
genre_facet |
Yamal Peninsula Siberia |
op_relation |
International Journal of Remote Sensing http://dx.doi.org/10.1080/01431161.2018.1519281 10.1080/01431161.2018.1519281 0143-1161 3 40 https://erepo.uef.fi/handle/123456789/7110 |
op_rights |
CC BY 4.0 openAccess © 2018 Authors https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1080/01431161.2018.1519281 |
container_title |
International Journal of Remote Sensing |
container_volume |
40 |
container_issue |
3 |
container_start_page |
832 |
op_container_end_page |
858 |
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1766236633389072384 |