7fbb95c288af44ab8b40e74fef0e7cbc English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:26:49 UK GEMINI 2.3 WGS 84 Velocity and strain rate fields of the northeast Tibetan Plateau 2022-05-26T13:49:53 publication 2022-05-26T13:49:53 creation https://catalogue.ceda.ac.uk/uuid/7fbb95c288af44ab8b40e74fef0e7cbc 7fbb95c288af44ab8b40e74fef0e7cbc NERC EDS Centre for Environmental Data Analysis 10.5285/7fbb95c288af44ab8b40e74fef0e7cbc doi 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. Ou, Qi Unavailable author Unavailable author Daout, Simon Unavailable author Unavailable author Weiss, Jonathan R. Unavailable author Unavailable author Shen, Lin Unavailable author Unavailable author Lazecky, Milan Unavailable author Unavailable author Wright, Tim Unavailable author Unavailable author Parsons, Barry Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor Wright, Tim Unavailable principal_investigator Unavailable principalInvestigator NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher unknown dataset COMET Sentinel 1 orthoimagery theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English imageryBaseMapsEarthCover 96.0 108.0 32.0 43.0 2014-10-01T00:00:00 2019-12-31T23:59:59 These data are provided in GeoTIFF (.tif) or NETCDF (.grd) formats. NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/7fbb95c288af44ab8b40e74fef0e7cbc CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/neodc/comet/publications_data/Ou_et_al_JGR_2022/v1.0/ DOWNLOAD Download Data download https://www.researchgate.net/publication/358715931_Large-scale_Interseismic_Strain_Mapping_of_the_NE_Tibetan_Plateau_from_Sentinel-1_Interferometry Large-scale Interseismic Strain Mapping of the NE Tibetan Plateau from Sentinel-1 Interferometry No further details. information https://doi.org/10.3390/rs12152430 Lazecký, M., Spaans, K., González, P. J., Maghsoudi, Y., Morishita, Y., Albino, F., Elliott, J., Greenall, N., Hatton, E., Hooper, A., Juncu, D., McDougall, A., Walters, R. J., Watson, C. S., Weiss, J. R., & Wright, T. J. (2020). LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity. Remote Sensing, 12(15), 2430. No further details. information https://doi.org/10.1029/2020GL087376 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. information https://doi.org/10.1016/j.jappgeo.2009.02.006 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. information https://doi.org/10.1002/2014JB011768 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. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.