Dataset
Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) & GNSS
Abstract
Surface velocities and strain rates from satellite geodesy have become essential tools for understanding the distribution of tectonic deformation, faulting and seismic hazard. However, across large regions of distributed continental deformation, such as the Alpine-Himalayan Belt, data are only sparsely available. While previous studies have mainly used spatially sparse Global Navigation Satellite System (GNSS) to measure deformation at such large scales, these approaches cannot characterize shorter wavelength features of deformation in many places.
We use Sentinel-1 radar images acquired during 2016-2024 to provide trans-national average surface velocities and time series at 1 km spatial resolution stretching a distance of over 11,000 km from south-western Europe to eastern China, covering an area more than 20 million square kilometres. We produce the velocity field by combining data from over 222,000 Sentinel-1 SAR images with a new belt-wide compilation of GNSS velocities, all combined in a consistent Eurasian reference frame.
Horizontal strain rates are derived from gradients of the velocity field, yielding near-continuous spatial deformation information over the entirety of the largest deforming region on the planet. The horizontal velocities and strains are dominated by tectonic deformation, which has a bimodal behaviour – focused on major faults but distributed elsewhere. Shorter-wavelength vertical velocities are dominated by non-tectonic processes, in particular the widespread over-exploitation of groundwater. Our new velocity and strain rates are foundational data sets that reveal the details of how the continents deform for the first time at transcontinental scale.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Funded by: NERC through the Looking into the Continents from Space (LiCS) large Grant (NE/K010867/1) |
| Data Quality: |
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).
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| File Format: |
This data is provided in a zip file. Files inside the zip file are tiff, png, text and kmz format.
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Related Documents
Process overview
Instrument/Platform pairings
| Sentinel 1 Synthetic Aperture Radar (SAR) | Deployed on: Sentinel 1A |
Instrument/Platform pairings
| Sentinel 1 Synthetic Aperture Radar (SAR) | Deployed on: Sentinel 1B |
Computation Element: 1
| Title | Computation for the Deformation, Strains and Velocities for the Alpine Himalayan Belt from trans-continental Sentinel-1 InSAR & GNSS |
| Abstract | The interferograms are processed from Sentinel-1 Level 1 (L1) Synthetic Aperture Radar (SAR) imagery using the Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR) routine, further corrected for troposphere, ionosphere and solid earth tides. The average line-of-sight (LOS) velocities and associated uncertainties are derived from frame-based eight-year time series, which are inverted from networks of short temporal baseline interferograms using the Looking Into Continents from Space with Small Baseline Subset (LiCSBAS) method. The scaled uncertainties are the LOS uncertainties with referencing effects corrected by fitting a spherical, exponential, or linear model to the scatter points between uncertainty and distance from the reference. Further details are provided in Elliott et al. (2026, Remote Sensing of Environment). |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
| Output Description | None |
| Output Description | None |
No variables found.
Temporal Range
2016-02-01T00:00:00
2024-06-01T23:59:59
Geographic Extent
52.0000° |
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-10.0000° |
122.0000° |
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20.0000° |