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Volcanic Eruption Monitoring Using Coherence Change Detection Matrix

Abstract : This paper addresses the monitoring of volcanic eruption using a coherence change detection matrix constructed from a multitemporal InSAR image time series. The Piton de la Fournaise volcano (French island, La Reunion), one of the most active volcanoes worldwide, was selected as a case study. Changes on the ground related to eight volcanic eruptions were analyzed through a time series including 49 descending stripmap Sentinel-1 SAR images acquired from January 10, 2018 to August 21, 2019. The experimental results have shown the relevancy of the proposed framework.
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https://hal.inrae.fr/hal-03322937
Contributor : Isabelle Nault <>
Submitted on : Friday, August 20, 2021 - 9:01:11 AM
Last modification on : Tuesday, September 7, 2021 - 3:44:28 PM

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Thu Trang Le, Jean-Luc Froger, Nicolas Baghdadi, Dinh Ho Tong Minh. Volcanic Eruption Monitoring Using Coherence Change Detection Matrix. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.324-327, ⟨10.1109/IGARSS39084.2020.9323335⟩. ⟨hal-03322937⟩

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