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
2024-03-25T00:33:26
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
http://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
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author
Daout, Simon
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author
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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
Use of these data is covered by the following licence: 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.
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
http://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/
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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
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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.
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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.
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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.
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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.
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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.