FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS
Ice velocity observations available on-line or on-demand at intra-annual resolution still contain gaps, noise, and artifacts, especially in mountain areas. There is a need to fuse the available multi-temporal and multi-sensor velocity observations to be able to study intra-annual glacier dynamics. T...
Published in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2022
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Online Access: | https://curis.ku.dk/portal/da/publications/fusion-of-multitemporal-and-multisensor-ice-velocity-observations(316a89eb-8cdd-4c78-befe-a0f3a3800463).html https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 https://curis.ku.dk/ws/files/321831173/FUSION_OF_MULTI_TEMPORAL_AND_MULTI_SENSOR_ICE_VELOCITY.pdf |
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ftcopenhagenunip:oai:pure.atira.dk:publications/316a89eb-8cdd-4c78-befe-a0f3a3800463 2024-04-14T08:11:55+00:00 FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS Charrier, Laurane Yan, Yajing Koeniguer, Elise Colin Mouginot, Jeremie Millan, Romain Trouvé, Emmanuel 2022 application/pdf https://curis.ku.dk/portal/da/publications/fusion-of-multitemporal-and-multisensor-ice-velocity-observations(316a89eb-8cdd-4c78-befe-a0f3a3800463).html https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 https://curis.ku.dk/ws/files/321831173/FUSION_OF_MULTI_TEMPORAL_AND_MULTI_SENSOR_ICE_VELOCITY.pdf eng eng info:eu-repo/semantics/openAccess Charrier , L , Yan , Y , Koeniguer , E C , Mouginot , J , Millan , R & Trouvé , E 2022 , ' FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS ' , ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. 5-3 , pp. 311-318 . https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 velocity time series multi-sensors multi-temporal fusion glacier displacements TIME-SERIES GLACIER FLOW ALGORITHM DYNAMICS IMAGES ALASKA contributionToPeriodical 2022 ftcopenhagenunip https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 2024-03-21T17:28:18Z Ice velocity observations available on-line or on-demand at intra-annual resolution still contain gaps, noise, and artifacts, especially in mountain areas. There is a need to fuse the available multi-temporal and multi-sensor velocity observations to be able to study intra-annual glacier dynamics. The proposed approach includes an inversion based on the temporal closure of displacement observation networks and a temporal interpolation. It reconstructs velocity time series between consecutive dates at a regular temporal sampling (called Regular Leap Frog (RLF) time series) inferred from all the velocity observations without a prori knowledge on the displacement behavior. The RLF time series can be reconstructed for different temporal sampling. Root Mean Square Error (RMSE) over stable areas and Velocity Vector Coherence (VVC) over fast moving areas are proposed to select a temporal sampling allowing a compromise between uncertainty and temporal resolution. This study focuses on the Fox glacier, in the Southern Alps of New Zealand. It shows that RMSE over stable areas is decreased from 78% for a temporal sampling of 5 days to 40% for a temporal sampling of 60 days. Thus, using this approach, we obtain a velocity time series with a complete temporal coverage and reduced uncertainty for a regular and optimal temporal sampling. The results highlight the large seasonal variability of the flow of Fox Glacier that fluctuates by more than 30% between spring and autumn. Article in Journal/Newspaper glacier Alaska University of Copenhagen: Research New Zealand Fox Glacier ENVELOPE(114.417,114.417,-66.233,-66.233) ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 311 318 |
institution |
Open Polar |
collection |
University of Copenhagen: Research |
op_collection_id |
ftcopenhagenunip |
language |
English |
topic |
velocity time series multi-sensors multi-temporal fusion glacier displacements TIME-SERIES GLACIER FLOW ALGORITHM DYNAMICS IMAGES ALASKA |
spellingShingle |
velocity time series multi-sensors multi-temporal fusion glacier displacements TIME-SERIES GLACIER FLOW ALGORITHM DYNAMICS IMAGES ALASKA Charrier, Laurane Yan, Yajing Koeniguer, Elise Colin Mouginot, Jeremie Millan, Romain Trouvé, Emmanuel FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
topic_facet |
velocity time series multi-sensors multi-temporal fusion glacier displacements TIME-SERIES GLACIER FLOW ALGORITHM DYNAMICS IMAGES ALASKA |
description |
Ice velocity observations available on-line or on-demand at intra-annual resolution still contain gaps, noise, and artifacts, especially in mountain areas. There is a need to fuse the available multi-temporal and multi-sensor velocity observations to be able to study intra-annual glacier dynamics. The proposed approach includes an inversion based on the temporal closure of displacement observation networks and a temporal interpolation. It reconstructs velocity time series between consecutive dates at a regular temporal sampling (called Regular Leap Frog (RLF) time series) inferred from all the velocity observations without a prori knowledge on the displacement behavior. The RLF time series can be reconstructed for different temporal sampling. Root Mean Square Error (RMSE) over stable areas and Velocity Vector Coherence (VVC) over fast moving areas are proposed to select a temporal sampling allowing a compromise between uncertainty and temporal resolution. This study focuses on the Fox glacier, in the Southern Alps of New Zealand. It shows that RMSE over stable areas is decreased from 78% for a temporal sampling of 5 days to 40% for a temporal sampling of 60 days. Thus, using this approach, we obtain a velocity time series with a complete temporal coverage and reduced uncertainty for a regular and optimal temporal sampling. The results highlight the large seasonal variability of the flow of Fox Glacier that fluctuates by more than 30% between spring and autumn. |
format |
Article in Journal/Newspaper |
author |
Charrier, Laurane Yan, Yajing Koeniguer, Elise Colin Mouginot, Jeremie Millan, Romain Trouvé, Emmanuel |
author_facet |
Charrier, Laurane Yan, Yajing Koeniguer, Elise Colin Mouginot, Jeremie Millan, Romain Trouvé, Emmanuel |
author_sort |
Charrier, Laurane |
title |
FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
title_short |
FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
title_full |
FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
title_fullStr |
FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
title_full_unstemmed |
FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS |
title_sort |
fusion of multi-temporal and multi-sensor ice velocity observations |
publishDate |
2022 |
url |
https://curis.ku.dk/portal/da/publications/fusion-of-multitemporal-and-multisensor-ice-velocity-observations(316a89eb-8cdd-4c78-befe-a0f3a3800463).html https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 https://curis.ku.dk/ws/files/321831173/FUSION_OF_MULTI_TEMPORAL_AND_MULTI_SENSOR_ICE_VELOCITY.pdf |
long_lat |
ENVELOPE(114.417,114.417,-66.233,-66.233) |
geographic |
New Zealand Fox Glacier |
geographic_facet |
New Zealand Fox Glacier |
genre |
glacier Alaska |
genre_facet |
glacier Alaska |
op_source |
Charrier , L , Yan , Y , Koeniguer , E C , Mouginot , J , Millan , R & Trouvé , E 2022 , ' FUSION OF MULTI-TEMPORAL AND MULTI-SENSOR ICE VELOCITY OBSERVATIONS ' , ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. 5-3 , pp. 311-318 . https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022 |
container_title |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
V-3-2022 |
container_start_page |
311 |
op_container_end_page |
318 |
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1796309664318619648 |