Quantifying river ice movement through a combination of European satellite monitoring services
Every spring the mechanical river ice break-up and associated ice-runs or flooding pose a threat to communities at Northern latitudes. Monitoring and mitigation efforts along remote Arctic rivers are possible but logistically complex. In recent years, Earth observation programs have emerged based on...
Published in: | International Journal of Applied Earth Observation and Geoinformation |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://hdl.handle.net/10852/93352 http://urn.nb.no/URN:NBN:no-95894 https://doi.org/10.1016/j.jag.2021.102315 |
id |
ftoslouniv:oai:www.duo.uio.no:10852/93352 |
---|---|
record_format |
openpolar |
spelling |
ftoslouniv:oai:www.duo.uio.no:10852/93352 2023-05-15T15:12:03+02:00 Quantifying river ice movement through a combination of European satellite monitoring services Altena, Bas Kääb, Andreas 2022-02-27T13:27:56Z http://hdl.handle.net/10852/93352 http://urn.nb.no/URN:NBN:no-95894 https://doi.org/10.1016/j.jag.2021.102315 EN eng http://urn.nb.no/URN:NBN:no-95894 Altena, Bas Kääb, Andreas . Quantifying river ice movement through a combination of European satellite monitoring services. International Journal of Applied Earth Observation and Geoinformation. 2021, 98 http://hdl.handle.net/10852/93352 2005846 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International Journal of Applied Earth Observation and Geoinformation&rft.volume=98&rft.spage=&rft.date=2021 International Journal of Applied Earth Observation and Geoinformation 98 11 https://doi.org/10.1016/j.jag.2021.102315 URN:NBN:no-95894 Fulltext https://www.duo.uio.no/bitstream/handle/10852/93352/1/1-s2.0-S0303243421000222-main.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 1569-8432 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2022 ftoslouniv https://doi.org/10.1016/j.jag.2021.102315 2022-04-06T22:33:53Z Every spring the mechanical river ice break-up and associated ice-runs or flooding pose a threat to communities at Northern latitudes. Monitoring and mitigation efforts along remote Arctic rivers are possible but logistically complex. In recent years, Earth observation programs have emerged based on spaceborne sensors that record large parts of the Earth’s surface at a regular interval and with fast downlink. Most optical satellites have a similar sun-synchronous orbit, and have thus an akin ground track. When different sun-synchronous missions are combined this results in near-simultaneous acquisitions, which make it possible to monitor fast displacements that occur at or near the Earth’s surface over large scales. Hence, it becomes possible to generate a new monitoring system; one of observing river ice movement. In this study we demonstrate the feasibility of a multi-satellite monitoring system by combining data from freely available medium- and coarse-resolution satellites, in this study that is Sentinel-2 and PROBA-V. Velocities of floating river ice during the spring of 2016 are estimated over a more than 700 km long reach of the Lena River in Russia. In order to achieve automatic velocity estimates at such scales, efficient and river-ice specific processing steps are included. Entropy filters are used to detect regions of high contrast and neglects open water or an intact ice cover, and also help the image matching. Post-processing is done through filtering on the general flow direction, stemming from a global river mask dataset. In all, this study shows the potential of extracting river ice movement from a combination of low and medium resolution satellite sensors in sun-synchronous orbit. Article in Journal/Newspaper Arctic lena river Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Arctic International Journal of Applied Earth Observation and Geoinformation 98 102315 |
institution |
Open Polar |
collection |
Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
op_collection_id |
ftoslouniv |
language |
English |
description |
Every spring the mechanical river ice break-up and associated ice-runs or flooding pose a threat to communities at Northern latitudes. Monitoring and mitigation efforts along remote Arctic rivers are possible but logistically complex. In recent years, Earth observation programs have emerged based on spaceborne sensors that record large parts of the Earth’s surface at a regular interval and with fast downlink. Most optical satellites have a similar sun-synchronous orbit, and have thus an akin ground track. When different sun-synchronous missions are combined this results in near-simultaneous acquisitions, which make it possible to monitor fast displacements that occur at or near the Earth’s surface over large scales. Hence, it becomes possible to generate a new monitoring system; one of observing river ice movement. In this study we demonstrate the feasibility of a multi-satellite monitoring system by combining data from freely available medium- and coarse-resolution satellites, in this study that is Sentinel-2 and PROBA-V. Velocities of floating river ice during the spring of 2016 are estimated over a more than 700 km long reach of the Lena River in Russia. In order to achieve automatic velocity estimates at such scales, efficient and river-ice specific processing steps are included. Entropy filters are used to detect regions of high contrast and neglects open water or an intact ice cover, and also help the image matching. Post-processing is done through filtering on the general flow direction, stemming from a global river mask dataset. In all, this study shows the potential of extracting river ice movement from a combination of low and medium resolution satellite sensors in sun-synchronous orbit. |
format |
Article in Journal/Newspaper |
author |
Altena, Bas Kääb, Andreas |
spellingShingle |
Altena, Bas Kääb, Andreas Quantifying river ice movement through a combination of European satellite monitoring services |
author_facet |
Altena, Bas Kääb, Andreas |
author_sort |
Altena, Bas |
title |
Quantifying river ice movement through a combination of European satellite monitoring services |
title_short |
Quantifying river ice movement through a combination of European satellite monitoring services |
title_full |
Quantifying river ice movement through a combination of European satellite monitoring services |
title_fullStr |
Quantifying river ice movement through a combination of European satellite monitoring services |
title_full_unstemmed |
Quantifying river ice movement through a combination of European satellite monitoring services |
title_sort |
quantifying river ice movement through a combination of european satellite monitoring services |
publishDate |
2022 |
url |
http://hdl.handle.net/10852/93352 http://urn.nb.no/URN:NBN:no-95894 https://doi.org/10.1016/j.jag.2021.102315 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic lena river |
genre_facet |
Arctic lena river |
op_source |
1569-8432 |
op_relation |
http://urn.nb.no/URN:NBN:no-95894 Altena, Bas Kääb, Andreas . Quantifying river ice movement through a combination of European satellite monitoring services. International Journal of Applied Earth Observation and Geoinformation. 2021, 98 http://hdl.handle.net/10852/93352 2005846 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International Journal of Applied Earth Observation and Geoinformation&rft.volume=98&rft.spage=&rft.date=2021 International Journal of Applied Earth Observation and Geoinformation 98 11 https://doi.org/10.1016/j.jag.2021.102315 URN:NBN:no-95894 Fulltext https://www.duo.uio.no/bitstream/handle/10852/93352/1/1-s2.0-S0303243421000222-main.pdf |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.jag.2021.102315 |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
98 |
container_start_page |
102315 |
_version_ |
1766342800400449536 |