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    <identifier>10.11922/sciencedb.01610</identifier>
    <datestamp>2022-03-22T10:43:50Z</datestamp>
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  <dc:date>2022-03-22</dc:date>
  <dc:title>StaMPS-SBAS InSAR Data of landslide in Maoxian County, Sichuan Province</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01610</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>1. Preprocess the sentinel-1a data of 22 scenes covering the landslide area of Mao County from October 19, 2020 to July 10, 2021. By setting the baseline threshold, a total of 67 differential interferograms are generated for time series analysis.2. Use GAMMA software to preprocess sentinel data. The main steps of preprocessing are:Data extraction:：S1_BURST_tab_from_zipfile，S1_import_SLC_from_zipfilesGeocoding：multi_look_ScanSAR，dem_import，gc_map2，pixel_area，create_diff_par，offset_pwrm，offset_fitm，gc_map_fine，pixel_area，geocodeImage registration：ScanSAR_coreg.pyDeramp：S1_deramp_TOPS_slave3.The data input into stamps software consists of three folders：dem，geo，SMALL_BASELINE.The corresponding data under the folder are:&amp;bull; ./SMALL BASELINES/yyyymmdd yyyymmdd/yyyymmdd.rslc a resampled SLC for the master image in every interferogram &amp;bull; ./SMALL BASELINES/yyyymmdd yyyymmdd/yyyymmdd.rslc a resampled SLC for the slave image in every interferogram &amp;bull; ./SMALL BASELINES/yyyymmdd yyyymmdd/yyyymmdd.rslc.par the SLC parameter file for the super-master &amp;bull; ./SMALL BASELINES/yyyymmdd yyyymmdd/yyyymmdd yyyymmdd.diff the interferograms &amp;bull; ./SMALL BASELINES/yyyymmdd yyyymmdd/yyyymmdd yyyymmdd.base a base file for every interferogram &amp;bull; ./geo/yyyymmdd dem.rdc the DEM in super-master radar coordinates &amp;bull; ./geo/yyyymmdd.lon the longitude of every pixel in the super-master SLC &amp;bull; ./geo/yyyymmdd.lat the latitude of every pixel in the super-master SLC4.The data set is opened with stamps software, and the software download address is: http://homepages.see.leeds.ac.uk/~earahoo/stamps/。Run ps_plot ('v-dao ',' a_linear ') under the SMALL_BASELINES folder to get the average deformation rate and observe obvious landslide.</dc:description>
  <dc:subject>SBAS; StaMPS; Landslide; InSAR</dc:subject>
  <dc:creator>Wang Yan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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