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Article Dans Une Revue IEEE Geoscience and Remote Sensing Letters Année : 2022

Fusion of Multitemporal Multisensor Velocities Using Temporal Closure of Fractions of Displacements

Résumé

Numerous glacier velocity observations, derived from spaceborne imagery, are available online, but it remains difficult to analyze them because they are measured with different temporal baselines, by various sensors. In this study, we propose a novel formulation of the temporal closure to fuse multi-temporal multi-sensor velocity observations without prior information on the displacement behavior and the data uncertainty. We establish a system of linear equations between combinations of displacement observations and fractions of estimated displacements. The proposed approach provides a velocity time-series with a regular and optimal temporal sampling, the latter representing a compromise between the temporal resolution and the signal-tonoise ratio. The proposed approach is first evaluated on synthetic datasets and second on Sentinel-2 and Venµs velocity observations over the Fox glacier in New Zealand. The results show the intraannual variability of Fox glacier surface velocity with a reduced uncertainty and complete temporal coverage.
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hal-04030559 , version 1 (15-03-2023)

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Laurane Charrier, Yajing Yan, Emmanuel Trouvé, Elise Colin Koeniguer, Jérémie Mouginot, et al.. Fusion of Multitemporal Multisensor Velocities Using Temporal Closure of Fractions of Displacements. IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.2001805. ⟨10.1109/LGRS.2022.3227413⟩. ⟨hal-04030559⟩
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