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...

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Main Authors: Altena, Bas, Kääb, Andreas
Other Authors: Sub Dynamics Meteorology, Marine and Atmospheric Research
Language:English
Published: 2021
Subjects:
Online Access:https://dspace.library.uu.nl/handle/1874/411540
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spelling ftunivutrecht:oai:dspace.library.uu.nl:1874/411540 2023-12-10T09:46:11+01:00 Quantifying river ice movement through a combination of European satellite monitoring services Altena, Bas Kääb, Andreas Sub Dynamics Meteorology Marine and Atmospheric Research 2021-06-01 application/pdf https://dspace.library.uu.nl/handle/1874/411540 eng eng https://dspace.library.uu.nl/handle/1874/411540 info:eu-repo/semantics/OpenAccess 2021 ftunivutrecht 2023-11-15T23:16:11Z 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. Other/Unknown Material Arctic lena river Utrecht University Repository Arctic
institution Open Polar
collection Utrecht University Repository
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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.
author2 Sub Dynamics Meteorology
Marine and Atmospheric Research
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 2021
url https://dspace.library.uu.nl/handle/1874/411540
geographic Arctic
geographic_facet Arctic
genre Arctic
lena river
genre_facet Arctic
lena river
op_relation https://dspace.library.uu.nl/handle/1874/411540
op_rights info:eu-repo/semantics/OpenAccess
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