NERC Data Catalogue Service
Velocity and strain rate fields of the northeast Tibetan Plateau
This data set contains velocity and strain rate fields over the northeast Tibetan Plateau, which are derived from Sentinel-1A and -1B synthetic aperture radar satellite data (SAR) and stored in GeoTIFF (.tif) or NETCDF (.grd) formats.
The velocities in the line-of-sights (LOS) of the satellites were processed at ~100 m resolution from time series in ~250km x 250km frames. The data set consists of velocities from 10 frames in ascending tracks and 13 frames in descending tracks of the satellites' orbits. The spatial extent of the velocities spans 96E-108E and 32N-43N, covering an area of 660,000 km^2. The temporal coverages of the data span from October 2014 to December 2019 across 65-110 acquisition epochs. The uncertainties of the velocities average to <1 mm/yr. The time series are inverted from fully-connected networks of short-temporal-baseline interferograms which are generated from interfering and unwrapping pairs of SAR imagery. The velocities represent the average velocity through the displacement time series.
The LOS velocities were decomposed into east and vertical velocities which are also archived with associated uncertainties. These Cartesian fields cover the overlapping areas between ascending and descending tracks and total 440,000 km^2. By combining the horizontal gradients of the filtered east velocities and interpolated north velocities from Global Navigational Satellite System, we derive second invariant, maximum shear, and dilatation strain rate fields for the same area with 1 km sampling intervals.
These strain rate fields highlight creeping sections and strain concentration on faults and fault junctions. The velocity fields reveal fault kinematics in terms of slip rates and partitioning. The vertical velocities also show non-tectonic signals such as subsidence related to permafrost melting, groundwater extraction, and reservoir loading, as well uplift from blocked drainages.
The data are collected and processed by Qi Ou with the automatic processing tools developed by Milan Lazecky. Velocity and strain rate fields were interpreted by all authors. By default, interferograms were generated from each epoch to six consecutive epochs and between acquisition pairs with six-month and nine-month temporal baselines. Interferograms with the unwrapping error were removed from the network and all networks were continuous and fully connected.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2022-05-26T13:49:53
- Dataset Reference Date ()
- 2022-05-26T13:49:53
- Identifier
- NERC EDS Centre for Environmental Data Analysis / 7fbb95c288af44ab8b40e74fef0e7cbc
- Identifier
- doi / 10.5285/7fbb95c288af44ab8b40e74fef0e7cbc
- Maintenance and update frequency
- unknown
- Update scope
- dataset
- Keywords
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- COMET
- Sentinel 1
- GEMET - INSPIRE themes, version 1.0 ()
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- orthoimagery
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Imagery base maps earth cover
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- Begin date
- 2014-10-01T00:00:00
- End date
- 2019-12-31T23:59:59
- Code
- WGS 84
Distribution Information
- Data format
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These data are provided in GeoTIFF (.tif) or NETCDF (.grd) formats.
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These data are provided in GeoTIFF (.tif) or NETCDF (.grd) formats.
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- Resource Locator
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CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
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DOWNLOAD
Download Data
- Resource Locator
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Doin, M. P., Twardzik, C., Ducret, G., Lasserre, C., Guillaso, S., & Jianbao, S. (2015). InSAR measurement of the deformation around Siling Co Lake: Inferences on the lower crust viscosity in central Tibet. Journal of Geophysical Research: Solid Earth, 120(7), 5290–5310.
No further details.
- Resource Locator
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López-Quiroz, P., Doin, M. P., Tupin, F., Briole, P., & Nicolas, J. M. (2009). Time series analysis of Mexico City subsidence constrained by radar interferometry. Journal of Applied Geophysics, 69(1), 1–15.
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- Resource Locator
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Weiss, J., Walters, R., Morishita, Y., Wright, T., Lazecky, M., Wang, H., Hussain, E., Hooper, A., Elliott, J., Rollins, C., Yu, C., González, P., Spaans, K., Li, Z., & Parsons, B. (2020). High‐resolution surface velocities and strain for Anatolia from Sentinel‐1 InSAR and GNSS data. Geophysical Research Letters, 47.
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- Resource Locator
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Large-scale Interseismic Strain Mapping of the NE Tibetan Plateau from Sentinel-1 Interferometry
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Doin, M. P., Twardzik, C., Ducret, G., Lasserre, C., Guillaso, S., & Jianbao, S. (2015). InSAR measurement of the deformation around Siling Co Lake: Inferences on the lower crust viscosity in central Tibet. Journal of Geophysical Research: Solid Earth, 120(7), 5290–5310.
No further details.
- Resource Locator
-
López-Quiroz, P., Doin, M. P., Tupin, F., Briole, P., & Nicolas, J. M. (2009). Time series analysis of Mexico City subsidence constrained by radar interferometry. Journal of Applied Geophysics, 69(1), 1–15.
No further details.
- Resource Locator
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Weiss, J., Walters, R., Morishita, Y., Wright, T., Lazecky, M., Wang, H., Hussain, E., Hooper, A., Elliott, J., Rollins, C., Yu, C., González, P., Spaans, K., Li, Z., & Parsons, B. (2020). High‐resolution surface velocities and strain for Anatolia from Sentinel‐1 InSAR and GNSS data. Geophysical Research Letters, 47.
No further details.
- Resource Locator
-
Large-scale Interseismic Strain Mapping of the NE Tibetan Plateau from Sentinel-1 Interferometry
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
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Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
The original interferograms are available on COMET-LiCS portal (https://comet.nerc.ac.uk/comet-lics-portal/). The interferograms are processed from Sentinel-1 Level 1 (L1) Synthetic Aperture Radar (SAR) imagery acquired by the European Space Agency (https://scihub.copernicus.eu/dhus/#/home) using the Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR) routine. The average line-of-sight (LOS) velocities and associated uncertainties are derived from frame-based five-year time series, which are inverted from networks of short temporal baseline interferograms using the New Small Baseline Subset (NSBAS) method. The scaled uncertainties are the LOS uncertainties with referencing effects corrected by fitting a spherical model to the scatter points between uncertainty and distance from the reference. The stitched LOS velocities in the reference frame of the Global Navigational Satellite System (GNSS) velocities are the results of mosaicking frame-sized LOS velocities into tracks by adding a planar ramp per frame to close the differences between overlapping pixels in consecutive LOS frames and between InSAR and GNSS LOS velocities. The stitched LOS velocities in two line-of-sights were then decomposed into Cartesian velocities in two steps, first into an east component and a combination of the north and vertical components, and then resolving the vertical component from the combination component using an interpolated north component from the GNSS velocities. The strain rate fields are calculated from the horizontal gradients of the filtered InSAR east velocities and interpolated GNSS north velocities.
Metadata
- File identifier
- 7fbb95c288af44ab8b40e74fef0e7cbc XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2023-01-13T02:09:45
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
