Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology
Contemporary optical remote sensing satellites or constellations of satellites can acquire imagery at sub-weekly or even daily timescales. These systems have the potential to facilitate intra-seasonal, short-term surface velocity variations across a range of ice masses. Current techniques for displa...
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ftoslouniv:oai:www.duo.uio.no:10852/61418 2023-05-15T16:22:13+02:00 Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology Altena, Bas Kääb, Andreas 2017-08-10T11:19:29Z http://hdl.handle.net/10852/61418 http://urn.nb.no/URN:NBN:no-64034 https://doi.org/10.3389/feart.2017.00053 EN eng Frontiers Media Altena, Bas (2018) Observing change in glacier flow by using optical satellites. Doctoral thesis http://hdl.handle.net/10852/61747 http://hdl.handle.net/10852/61747 http://urn.nb.no/URN:NBN:no-64034 Altena, Bas Kääb, Andreas . Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology. Frontiers in Earth Science. 2017, 5 http://hdl.handle.net/10852/61418 1485331 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers in Earth Science&rft.volume=5&rft.spage=&rft.date=2017 Frontiers in Earth Science 5 12 http://dx.doi.org/10.3389/feart.2017.00053 URN:NBN:no-64034 Fulltext https://www.duo.uio.no/bitstream/handle/10852/61418/2/feart-05-00053%25281%2529.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 2296-6463 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2017 ftoslouniv https://doi.org/10.3389/feart.2017.00053 2020-06-21T08:51:32Z Contemporary optical remote sensing satellites or constellations of satellites can acquire imagery at sub-weekly or even daily timescales. These systems have the potential to facilitate intra-seasonal, short-term surface velocity variations across a range of ice masses. Current techniques for displacement estimation are based on matching image pairs with sufficient displacement and/or preservation of the surface over time and consequently, do not benefit from an increase in satellite revisit times. Here, we explore an approach that is fundamentally different from image correlation or similar approaches and engages the concept of optical flow. Our goal is to assess whether this technique could overcome the limitations of image matching and yield new insights in glacier flow dynamics. We implement two different methods of optical flow, and test these implementations utilizing the SPOT5 Take5 dataset at two glaciers: Kronebreen, Svalbard and Kaskawulsh Glacier, Yukon. At Kaskawulsh Glacier, we extract intra-seasonal velocity variations that are synchronous with episodes of increased air temperature. Moreover, even for the cloudy dataset of Kronebreen, we can extract spatio-temporal trajectories that correlate well with measured GPS flow paths. Since the underlying concept is simple and computationally efficient due to data-reduction, our optical flow methodology can be rapidly adapted for a range of studies from the investigation of large scale ice sheet dynamics down to the estimation of displacements over small and slow flowing glaciers. Article in Journal/Newspaper glacier Ice Sheet Svalbard Yukon Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Kaskawulsh Glacier ENVELOPE(-139.104,-139.104,60.749,60.749) Kronebreen ENVELOPE(13.333,13.333,78.833,78.833) Svalbard Yukon Frontiers in Earth Science 5 |
institution |
Open Polar |
collection |
Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
op_collection_id |
ftoslouniv |
language |
English |
description |
Contemporary optical remote sensing satellites or constellations of satellites can acquire imagery at sub-weekly or even daily timescales. These systems have the potential to facilitate intra-seasonal, short-term surface velocity variations across a range of ice masses. Current techniques for displacement estimation are based on matching image pairs with sufficient displacement and/or preservation of the surface over time and consequently, do not benefit from an increase in satellite revisit times. Here, we explore an approach that is fundamentally different from image correlation or similar approaches and engages the concept of optical flow. Our goal is to assess whether this technique could overcome the limitations of image matching and yield new insights in glacier flow dynamics. We implement two different methods of optical flow, and test these implementations utilizing the SPOT5 Take5 dataset at two glaciers: Kronebreen, Svalbard and Kaskawulsh Glacier, Yukon. At Kaskawulsh Glacier, we extract intra-seasonal velocity variations that are synchronous with episodes of increased air temperature. Moreover, even for the cloudy dataset of Kronebreen, we can extract spatio-temporal trajectories that correlate well with measured GPS flow paths. Since the underlying concept is simple and computationally efficient due to data-reduction, our optical flow methodology can be rapidly adapted for a range of studies from the investigation of large scale ice sheet dynamics down to the estimation of displacements over small and slow flowing glaciers. |
format |
Article in Journal/Newspaper |
author |
Altena, Bas Kääb, Andreas |
spellingShingle |
Altena, Bas Kääb, Andreas Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
author_facet |
Altena, Bas Kääb, Andreas |
author_sort |
Altena, Bas |
title |
Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
title_short |
Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
title_full |
Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
title_fullStr |
Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
title_full_unstemmed |
Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
title_sort |
weekly glacier flow estimation from dense satellite time series using adapted optical flow technology |
publisher |
Frontiers Media |
publishDate |
2017 |
url |
http://hdl.handle.net/10852/61418 http://urn.nb.no/URN:NBN:no-64034 https://doi.org/10.3389/feart.2017.00053 |
long_lat |
ENVELOPE(-139.104,-139.104,60.749,60.749) ENVELOPE(13.333,13.333,78.833,78.833) |
geographic |
Kaskawulsh Glacier Kronebreen Svalbard Yukon |
geographic_facet |
Kaskawulsh Glacier Kronebreen Svalbard Yukon |
genre |
glacier Ice Sheet Svalbard Yukon |
genre_facet |
glacier Ice Sheet Svalbard Yukon |
op_source |
2296-6463 |
op_relation |
Altena, Bas (2018) Observing change in glacier flow by using optical satellites. Doctoral thesis http://hdl.handle.net/10852/61747 http://hdl.handle.net/10852/61747 http://urn.nb.no/URN:NBN:no-64034 Altena, Bas Kääb, Andreas . Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology. Frontiers in Earth Science. 2017, 5 http://hdl.handle.net/10852/61418 1485331 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers in Earth Science&rft.volume=5&rft.spage=&rft.date=2017 Frontiers in Earth Science 5 12 http://dx.doi.org/10.3389/feart.2017.00053 URN:NBN:no-64034 Fulltext https://www.duo.uio.no/bitstream/handle/10852/61418/2/feart-05-00053%25281%2529.pdf |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/feart.2017.00053 |
container_title |
Frontiers in Earth Science |
container_volume |
5 |
_version_ |
1766010190201618432 |