Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring

In this article, we present a method for combining image-based displacements to build time series. This method takes advantage of the redundancy of these displacements, which comes from multiple possible combinations between images. The proposed method combines common master series with a different...

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Main Authors: Guilhem Marsy, Flavien Vernier, Emmanuel Trouve, Xavier Bodin, William Castaings, Andrea Walpersdorf, Emmanuel Malet, Blaise Girard
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9547813/
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author Guilhem Marsy
Flavien Vernier
Emmanuel Trouve
Xavier Bodin
William Castaings
Andrea Walpersdorf
Emmanuel Malet
Blaise Girard
author_facet Guilhem Marsy
Flavien Vernier
Emmanuel Trouve
Xavier Bodin
William Castaings
Andrea Walpersdorf
Emmanuel Malet
Blaise Girard
author_sort Guilhem Marsy
collection DOAJ
description In this article, we present a method for combining image-based displacements to build time series. This method takes advantage of the redundancy of these displacements, which comes from multiple possible combinations between images. The proposed method combines common master series with a different master date to construct a single time series of relative displacements. We were able to test this method on displacements computed using images from a stereo time-lapse device recording images of the Argentière glacier during the summer and fall of 2019. Our method was compared to two other displacement aggregation strategies: a simple common master approach and the classical inversion method. In order to perform this comparison, displacement data from four permanent GPS are used. The results show that our method provides a more accurate time series of relative displacements than those obtained with the other methods. The higher accuracy of the proposed method makes the detection of seasonal variations in glacier velocity possible.
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spelling doaj.art-f359118dd0cf4b3cb2b7b95461ac08942022-12-21T23:33:41ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-0114100691007810.1109/JSTARS.2021.31152319547813Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier MonitoringGuilhem Marsy0https://orcid.org/0000-0002-3944-1378Flavien Vernier1Emmanuel Trouve2https://orcid.org/0000-0003-2140-3303Xavier Bodin3William Castaings4Andrea Walpersdorf5Emmanuel Malet6Blaise Girard7LISTIC, Univ Savoie Mont Blanc, Annecy, FranceLISTIC, Univ Savoie Mont Blanc, Annecy, FranceLISTIC, Univ Savoie Mont Blanc, Annecy, FranceEDYTEM, CNRS/Univ Savoie Mont Blanc, Chambéry, FranceTENEVIA, Meylan, FranceISTerre, CNRS/Univ Grenoble Alpes, Grenoble, FranceEDYTEM, CNRS/Univ Savoie Mont Blanc, Chambéry, FranceLISTIC, Univ Savoie Mont Blanc, Annecy, FranceIn this article, we present a method for combining image-based displacements to build time series. This method takes advantage of the redundancy of these displacements, which comes from multiple possible combinations between images. The proposed method combines common master series with a different master date to construct a single time series of relative displacements. We were able to test this method on displacements computed using images from a stereo time-lapse device recording images of the Argentière glacier during the summer and fall of 2019. Our method was compared to two other displacement aggregation strategies: a simple common master approach and the classical inversion method. In order to perform this comparison, displacement data from four permanent GPS are used. The results show that our method provides a more accurate time series of relative displacements than those obtained with the other methods. The higher accuracy of the proposed method makes the detection of seasonal variations in glacier velocity possible.https://ieeexplore.ieee.org/document/9547813/Displacement measurementglacier monitoringphotogrammetrytime series analysis
spellingShingle Guilhem Marsy
Flavien Vernier
Emmanuel Trouve
Xavier Bodin
William Castaings
Andrea Walpersdorf
Emmanuel Malet
Blaise Girard
Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Displacement measurement
glacier monitoring
photogrammetry
time series analysis
title Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
title_full Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
title_fullStr Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
title_full_unstemmed Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
title_short Temporal Consolidation Strategy for Ground-Based Image Displacement Time Series: Application to Glacier Monitoring
title_sort temporal consolidation strategy for ground based image displacement time series application to glacier monitoring
topic Displacement measurement
glacier monitoring
photogrammetry
time series analysis
url https://ieeexplore.ieee.org/document/9547813/
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