A Decade Of Sentinel-1 Research

A Decade Of Sentinel-1 Research

Advances in volcano monitoring driven by the first decade of Sentinel-1 observations

A new paper, from a team led by COMET Co-Director Professor Juliet Biggs, has marked ten years of operational service of the Sentinel-1 satellite by reviewing the ways in which it has transformed volcanology.

Use of data from Sentinel-1 (the first satellite of the ESA Copernicus programme) has been gladly adopted as common practice in the field over the last decade thanks to its long term, systematic archive of data, and a policy of open access.

In this study, the team identified 233 high-priority volcanoes as requiring frequent satellite observation. Of these, data obtained by Sentinel-1 has been utilised in published research for about 90 of them. This kind of repeated usage highlights the growing impact of remote sensing satellite data in volcanology.

A map from the paper showing volcanoes considered a priority for satellite remote sensing. Those in purple have all had at least one interferogram published from Sentinel-1 data.

The team analysed a vast archive of 3.34 million interferogram images processed by COMET’s LICS system and applied machine learning to retrospectively detect the telltale signals of volcanic eruptions. A test on this scale clear demonstrates the promise for these automated approaches in large-scale monitoring.

Data from Sentinel-1 can be applied to monitoring a large range of volcanic settings, as demonstrated in various sites across the world. In Iceland, Hawai’i, and the Galápagos, Sentinel-1 InSAR is integrated into routine monitoring of frequently erupting basaltic volcanoes, and used to identify magma pathways and forecast the outcomes of unrest.

An interferogram produced by Sentinel-1 showing a dike intrusion and deflation of a shallow magma reservoir in Iceland in 2023.

In contrast, InSAR measurements could not be made, or were not useful, at several of the large explosive eruptions that occurred during the first decade, but Sentinel-1 SAR backscatter is increasingly being used to map damage associated with eruptive deposits and flank collapses.

These long term datasets of baseline monitoring have contributed significantly to the detection of subtle deformation signals, and identifying when a volcano first enters a stage of unrest. These datasets have provided new insights into complex subsurface processes, including interactions within magmatic plumbing systems, and those between magmatic and tectonic forces.

Even with the great advances we’ve seen from Sentinel-1, interpreting signals is still a challenge due to the amount of noise in the data, atmospheric interference, and complex natural surfaces. As such, it still relies heavily on being integrated with additional external datasets. 

Lead author of the paper, Professor Juliet Biggs said of the new paper, “It was a great privilege to work with researchers from so many different countries and institutions to review the different ways in which Sentinel-1 data is being used by volcanologists. It was exciting to see that the routine acquisition strategy and open-access data policy has opened the doors to large scale systematic analysis, and enabled volcano observatories to integrate satellite data into their real-time monitoring systems.”

The research was supported not just by COMET but also by funding from ERC Horizon 2020. A full list of project funders and supporters can be found in the Acknowledgements section of the paper.

This paper highlights a decade of innovation in the field of remote sensing, and shows exciting possibilities for extending the pioneering work of Sentinel-1. Future studies promise improved resolution and coverage, which can enhance our global volcano monitoring capabilities.

“New satellites planned for the next decade will provide yet another step change in capabilities unlocking further advances in volcanology and volcano monitoring. “

Find Out More

You can read the full article here:

Biggs, J. et al. (2026) Advances in volcano monitoring driven by the first decade of Sentinel-1 observations. Remote Sensing Of Environment. 339: 115377

Satellite Data Reveals Deformation On A Trans-Continental Scale

Satellites show how the Earth’s largest earthquake belt is deforming at a trans-continental scale

A new study from COMET scientists combining satellite radar imagery with GPS measurements has produced the first high-resolution trans-continental map of ground deformation across the Alpine-Himalayan Belt, which is the most seismically active region on Earth.

The team, led by Professor John Elliott (COMET Scientist, University of Leeds), analysed more than 222,000 radar images from Sentinel-1, combined with Global Navigation Satellite System (GNSS) measurements from ground stations, to produce the first continuous and high-resolution map of ground motion across the Alpine-Himalayan Belt (AHB).

The AHB covers the massive span of land of more than 11,000 km where the African, Indian, and Arabian plates collide with Eurasia, building huge mountain chains like the Himalayas. It’s an area of high tectonic activity, with earthquakes here having killed more than 10,000 people since 1900, demonstrating how crucial understanding of the processes is.

A view of the himalayan mountains.

Despite its importance for understanding seismic hazard, detailed, continuous measurements of how the ground is moving across this enormous region have been out of reach until now. Capitalising on the new availability of remote-sensing data from satellite platforms, this study aimed to improve our knowledge of the deformation of the AHB region, which has historically lacked the dense GNSS coverage of Europe and America, and to create a better understanding of seismic hazards for the future.

A map of how the continents move

The result is the first 3D velocity field of the entire Alpine-Himalayan Belt. From it, the team derived horizontal strain rates, a measure of how rock is being stretched or compressed, yielding near-continuous information about deformation across the full extent of the belt for the first time.

Graphical abstract showing velocities across the Alpine Himalayan Belt

The satellite radar data revealed complex deformation patterns, with strain not only linked to the major strike-slip faults (Anatolia and the Tibetan Plateau) and major convergence zones (Himalayas and Pamirs), but also distributed across the wide regions between these features. This is key for highlighting how widely the deformation is spread over the crust.

These results also distinguished how horizontal movements were mainly connected to the plate convergence activity, whilst vertical ground motion could often be linked to human activity, such as the overexploitation of groundwater extraction (leading to subsidence) in Türkiye, Iran, and the North China Plain. Permafrost changes at high elevations also created substantial subsidence.

Spanning across eight years of monitoring activity (2016 to 2024), and an area of more than twenty million square kilometres (spanning from SW Europe to Eastern China) such a comprehensive record has not been produced before and is an enormous achievement by the team.

Why this matters for earthquake hazard

Understanding where strain is building up, and how fast, is essential for assessing where the next major earthquake is most likely to happen. Previous efforts to map deformation at this scale relied primarily on sparse networks of GNSS ground stations, which are unevenly distributed across the belt and cannot capture localised deformation features between stations.

This new approach provides far greater spatial detail, revealing fault-by-fault patterns of strain accumulation that were previously invisible at continental scale.

The velocity and strain rate datasets produced in this study are freely available and are intended to serve as foundational resources for researchers working on earthquake hazard assessment, geodynamics, and continental deformation worldwide.

A screenshot of the interactive viewer (linked at bottom of article) showing the major fault systems across the region.

Open data for the global research community

The massive open access dataset created by this study is an incredible new resource for studying the region, building on and clarifying 171 previous studies to produce the best picture yet of how the crust is moving across the whole AHB. Recently launched missions will also help to better measure strain in areas with denser vegetation.

Lead author, Professor John Elliott of the University of Leeds, said of the new paper, “This ability to view the huge collision zone of these large, shifting tectonic plates from space has enabled us to get an important perspective on the build-up of pressure that ultimately leads to earthquakes and the growth of mountains. The openness of the data from the European Space Agency has enabled us to achieve this, and we make our results freely available in return, for others to build on.”

The study was made possible by ESA’s open data policy for the Sentinel-1 mission, which allows researchers free access to one of the world’s most comprehensive archives of radar Earth observation data. InSAR processing was carried out using the LiCSAR system developed at Leeds, with time series analysis performed using the LiCSBAS software. All datasets have been archived and are publicly available via the CEDA Archive and Zenodo.

Alongside NERC COMET, the research was supported by the NERC Looking into the Continents from Space (LiCS) grant, the ESA Copernicus Programme, and the European Plate Observation System (EPOS).

Find Out More

You can read the full article here:

Elliott, J.R. et al. (2026) Deformation, strains, and velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 InSAR & GNSS. Remote Sensing of Environment. 388: 115320

You can also view the velocities in detail with this interactive viewer:

https://gws-access.jasmin.ac.uk/public/nceo_geohazards/LiCSAR_products/velocities/map_ahb.html