GInSAR vertical surface displacements over the San Joaquin Valley, CA spanning April 2015 to October 2017

<p>A time series of vertical surface displacements over the San Joaquin Valley (SJV) spanning April 2015 to October 2017.</p> <p>Base Data: European Space Agency&rsquo;s Sentinel-1A/B descending track 144; National Science Foundation Plate Boundary Observatory Global Positioning System (GPS) network; Southern California Earthquake Center&rsquo;s Community Geodetic Model</p> <p>Time: 2015.04.01 &ndash; 2017.10.23, 51 acquisition times, 263 interferograms</p> <p>Processors/Software: GMTSAR, MATLAB</p> <p>Interferogram construction and unwrapping was performed in GMTSAR. GPS correction, time series inversion, and vertical projection was performed in MATLAB.</p> <p>&nbsp;</p> <p>This dataset was constructed following similar methods outlined in Neely et al., (2020).</p> <p>Neely, Wesley R., Adrian A. Borsa, and Francesca Silverii. &ldquo;GInSAR: A CGPS Correction for Enhanced InSAR Time Series.&rdquo; <em>IEEE Transactions on Geoscience and Remote Sensing</em> 58, no. 1 (January 2020): 136&ndash;46. <a href="https://doi.org/10.1109/TGRS.2019.2934118">https://doi.org/10.1109/TGRS.2019.2934118</a>.</p> <p>&nbsp;</p> <p>This dataset is provided as a &ldquo;.mat&rdquo; compatible with MATLAB. Contents include:</p> <p>TS &ndash; 3110x2940x51 matrix of the vertical surface displacements (mm) relative to April 1, 2015</p> <p>X &ndash; 3110x2940 matrix of the pixel longitudes (decimal degrees)</p> <p>Y &ndash; 3110x2940 matrix of the pixel latitudes (decimal degrees)</p> <p>rate &ndash; 3110x2940 matrix of the estimated vertical velocity (mm/yr) over April 2015 to October 2017</p> <p>time &ndash; 51x1 array of the dates for each acquisition in MATLAB data. Provided as integer day where time(1) = 736055 &agrave; April 1, 2015</p> <p>&nbsp;</p> <p>Example plotting in MATLAB:</p> <p>% plot the rate map</p> <p>figure</p> <p>pcolor(X,Y,rate)</p> <p>shading flat</p> <p>&nbsp;</p> <p>% plot the 25^th time slice map of the displacement time series</p> <p>figure</p> <p>pcolor(X,Y,squeeze(TS(:,:,25))</p> <p>shading flat</p> <p>&nbsp;</p> <p>% plot the time series at location X(1500,1500) and Y(1500,1500)</p> <p>figure</p> <p>plot(time,squeeze(TS(1500,1500,:)))</p>