Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series
Thermokarst lakes and ponds are major elements of permafrost landscapes, occupying up to 40% of the land area in some Arctic regions. Shallow lakes freeze to the bed, thus preventing permafrost thaw underneath them and limiting the length of the period with greenhouse gas production in the unfrozen...
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Online Access: | https://epic.awi.de/id/eprint/42243/ https://doi.org/10.3390/rs8110903 https://hdl.handle.net/10013/epic.48963 |
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ftawi:oai:epic.awi.de:42243 2023-05-15T15:00:33+02:00 Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series Antonova, Sofia Duguay, Claude Kääb, Andreas Heim, Birgit Langer, Moritz Westermann, Sebastian Boike, Julia 2016 https://epic.awi.de/id/eprint/42243/ https://doi.org/10.3390/rs8110903 https://hdl.handle.net/10013/epic.48963 unknown Antonova, S. , Duguay, C. , Kääb, A. , Heim, B. orcid:0000-0003-2614-9391 , Langer, M. orcid:0000-0002-2704-3655 , Westermann, S. and Boike, J. orcid:0000-0002-5875-2112 (2016) Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series , Remote Sensing, 8 (11), p. 903 . doi:10.3390/rs8110903 <https://doi.org/10.3390/rs8110903> , hdl:10013/epic.48963 EPIC3Remote Sensing, 8(11), pp. 903, ISSN: 2072-4292 Article isiRev 2016 ftawi https://doi.org/10.3390/rs8110903 2021-12-24T15:42:05Z Thermokarst lakes and ponds are major elements of permafrost landscapes, occupying up to 40% of the land area in some Arctic regions. Shallow lakes freeze to the bed, thus preventing permafrost thaw underneath them and limiting the length of the period with greenhouse gas production in the unfrozen lake sediments. Radar remote sensing permits to distinguish lakes with bedfast ice due to the difference in backscatter intensities from bedfast and floating ice. This study investigates the potential of a unique time series of three-year repeat-pass TerraSAR-X (TSX) imagery with high temporal (11 days) and spatial (10 m) resolution for monitoring bedfast ice as well as ice phenology of lakes in the zone of continuous permafrost in the Lena River Delta, Siberia. TSX backscatter intensity is shown to be an excellent tool for monitoring floating versus bedfast lake ice as well as ice phenology. TSX-derived timing of ice grounding and the ice growth model CLIMo are used to retrieve the ice thicknesses of the bedfast ice at points where in situ ice thickness measurements were available. Comparison shows good agreement in the year of field measurements. Additionally, for the first time, an 11-day sequential interferometric coherence time series is analyzed as a supplementary approach for the bedfast ice monitoring. The coherence time series detects most of the ice grounding as well as spring snow/ice melt onset. Overall, the results show the great value of TSX time series for monitoring Arctic lake ice and provide a basis for various applications: for instance, derivation of shallow lakes bathymetry, evaluation of winter water resources and locating fish winter habitat as well as estimation of taliks extent in permafrost. Article in Journal/Newspaper Arctic Ice lena river permafrost Thermokarst Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Remote Sensing 8 11 903 |
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Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Thermokarst lakes and ponds are major elements of permafrost landscapes, occupying up to 40% of the land area in some Arctic regions. Shallow lakes freeze to the bed, thus preventing permafrost thaw underneath them and limiting the length of the period with greenhouse gas production in the unfrozen lake sediments. Radar remote sensing permits to distinguish lakes with bedfast ice due to the difference in backscatter intensities from bedfast and floating ice. This study investigates the potential of a unique time series of three-year repeat-pass TerraSAR-X (TSX) imagery with high temporal (11 days) and spatial (10 m) resolution for monitoring bedfast ice as well as ice phenology of lakes in the zone of continuous permafrost in the Lena River Delta, Siberia. TSX backscatter intensity is shown to be an excellent tool for monitoring floating versus bedfast lake ice as well as ice phenology. TSX-derived timing of ice grounding and the ice growth model CLIMo are used to retrieve the ice thicknesses of the bedfast ice at points where in situ ice thickness measurements were available. Comparison shows good agreement in the year of field measurements. Additionally, for the first time, an 11-day sequential interferometric coherence time series is analyzed as a supplementary approach for the bedfast ice monitoring. The coherence time series detects most of the ice grounding as well as spring snow/ice melt onset. Overall, the results show the great value of TSX time series for monitoring Arctic lake ice and provide a basis for various applications: for instance, derivation of shallow lakes bathymetry, evaluation of winter water resources and locating fish winter habitat as well as estimation of taliks extent in permafrost. |
format |
Article in Journal/Newspaper |
author |
Antonova, Sofia Duguay, Claude Kääb, Andreas Heim, Birgit Langer, Moritz Westermann, Sebastian Boike, Julia |
spellingShingle |
Antonova, Sofia Duguay, Claude Kääb, Andreas Heim, Birgit Langer, Moritz Westermann, Sebastian Boike, Julia Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
author_facet |
Antonova, Sofia Duguay, Claude Kääb, Andreas Heim, Birgit Langer, Moritz Westermann, Sebastian Boike, Julia |
author_sort |
Antonova, Sofia |
title |
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
title_short |
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
title_full |
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
title_fullStr |
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
title_full_unstemmed |
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series |
title_sort |
monitoring bedfast ice and ice phenology in lakes of the lena river delta using terrasar-x backscatter and coherence time series |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/42243/ https://doi.org/10.3390/rs8110903 https://hdl.handle.net/10013/epic.48963 |
long_lat |
ENVELOPE(-130.826,-130.826,57.231,57.231) |
geographic |
Arctic Arctic Lake |
geographic_facet |
Arctic Arctic Lake |
genre |
Arctic Ice lena river permafrost Thermokarst Siberia |
genre_facet |
Arctic Ice lena river permafrost Thermokarst Siberia |
op_source |
EPIC3Remote Sensing, 8(11), pp. 903, ISSN: 2072-4292 |
op_relation |
Antonova, S. , Duguay, C. , Kääb, A. , Heim, B. orcid:0000-0003-2614-9391 , Langer, M. orcid:0000-0002-2704-3655 , Westermann, S. and Boike, J. orcid:0000-0002-5875-2112 (2016) Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series , Remote Sensing, 8 (11), p. 903 . doi:10.3390/rs8110903 <https://doi.org/10.3390/rs8110903> , hdl:10013/epic.48963 |
op_doi |
https://doi.org/10.3390/rs8110903 |
container_title |
Remote Sensing |
container_volume |
8 |
container_issue |
11 |
container_start_page |
903 |
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1766332643273605120 |