Monitoring Volcano Deformation Based on Synthetic Aperture Radar (SAR) Data



Researchers from ISTerre contributed to a chapter in Modern Volcano Monitoring titled “Monitoring Volcano Deformation Based on Synthetic Aperture Radar (SAR) Data.” The chapter presents SAR imagery as a powerful tool to detect and measure ground deformation on active volcanoes, explaining how displacement maps are generated from time-separated radar images.



Figure 1.4 : Sentinel-1 ascending interferogram (Stripmap acquisition mode) spanning the period from 8 to 20 October 2021 at the Piton de la Fournaise volcano on the French island of La Reunion. Coordinates are in UTM (zone 40E)


Two main techniques are presented : InSAR (Interferometric SAR), which uses phase differences to create interferograms revealing vertical and horizontal ground displacements, and pixel offset tracking, which analyzes amplitude shifts to measure surface movements—particularly useful for strong deformations or near-field signals that InSAR may not capture accurately.

By combining time series analysis of multiple SAR images, the chapter shows how scientists can track the temporal evolution of ground deformation. These measurements are crucial for interpreting magma storage, migration, and surface transport, and for modeling underground volcanic processes. The chapter also explains how factors like magma source depth, orientation, geometry, and radar acquisition parameters influence the resulting interferogram patterns, supported by synthetic examples.

In addition, the chapter reviews the state of near-real-time volcano monitoring using SAR imagery in observatories worldwide, highlighting recent advancements in automated processing chains, integration with ground-based measurements, and the potential to improve early warning systems and hazard assessment. Practical examples demonstrate how SAR data have helped anticipate volcanic activity, guide evacuations, and monitor magma intrusions in real time.

This work provides valuable guidance for researchers and volcano observatories, combining theoretical principles, practical applications, and recommendations for future monitoring strategies.



References :

Albino, F., Biggs, J., Syahbana, D.K., 2020.
Automated methods for detecting volcanic deformation using Sentinel-1 InSAR time series illustrated by the 2017–2018 unrest at Agung, Indonesia
Journal of Geophysical Research : Solid Earth, 125(2), e2019JB017908.

Ansari, H., De Zan, F., Parizzi, A., 2021.
Study of systematic bias in measuring surface deformation with SAR interferometry
IEEE Transactions on Geoscience and Remote Sensing, 59(2), 1285–1301.

Pinel, V., Poland, M.P., Hooper, A., 2014.
Volcanology : lessons learned from Synthetic Aperture Radar imagery
Journal of Volcanology and Geothermal Research, 289, 81–113.

Dzurisin, D., Lu, Z., 2007.
Interferometric synthetic-aperture radar (InSAR)
In : Volcano deformation : geodetic monitoring techniques. Springer, Berlin, Heidelberg, pp 153–194.

Meyer, F.J., Biggs, J., Ebmeier, S.K., 2015.
Integrating SAR and derived products into operational volcano monitoring and decision support systems
ISPRS Journal of Photogrammetry and Remote Sensing, 100, 106–117.

Scientific contacts
  • V. Pinel – Chercheuse, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, Université Gustave Eiffel, ISTerre
  • F. Albino - Chercheur, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, Université Gustave Eiffel, ISTerre