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2_3_step11_16
For more details of the commands, use -h option to see the usage.
LiCSBAS11_check_unw.py -d ifgdir [-t tsadir] [-c coh_thre] [-u unw_thre]This script checks quality of unw data and identifies bad interferograms based on average coherence and coverage of unwrapped data. This also prepares a time series working directory.
Fig good unw vs bad unw
Fig network
LiCSBAS12_loop_closure.py -d ifgdir [-t tsadir] [-l loop_thre]This script identifies bad data by checking loop closure. A tentative reference point that has all valid unw data and the smallest RMS of loop phases is also determined.
Fig loop closure
Fig network
LiCSBAS13_sb_inv.py -d ifgdir [-t tsadir] [--inv_alg inv_alg] [--mem_size mem_size] [--gamma gamma] [--n_core n_core] [--n_unw_r_thre n_unw_r_thre] [--keep_incfile]This script inverts the small baseline network of unw data to get the time series of displacement and velocity using the NSBAS (López-Quiroz et al., 2009; Doin et al., 2011) approach.
LiCSBAS14_vel_std.py -t tsadir [--mem_size mem_size]This script calculates the standard deviation of the velocity by bootstrap and STC (spatio-temporal consistency; Hanssen et al., 2008, Terrafirma).
LiCSBAS15_mask_ts.py -t tsadir [-c coh_thre] [-u n_unw_r_thre] [-v vstd_thre] [-T maxTlen_thre] [-g n_gap_thre] [-s stc_thre] [-i n_ifg_noloop_thre] [-l n_loop_err_thre] [-r resid_rms_thre] [--vmin vmin] [--vmax vmin] [--keep_isolated]This script makes a mask of time series using several noise indices.
Fig mask
| Noise index | Meaning |
|---|---|
| coh_avg | Average of coherence |
| n_unw | Number of used unwrap data (Note: the argument is ratio to the number of images; i.e., if 1.5, n_unw=1.5*n_im) |
| vstd | Standard deviation of the velocity (mm/yr) |
| maxTlen | Max time length of connected network (year). The longer the value is, the better the precision of the velocity is. |
| n_gap | Number of gaps in network |
| stc | Spatio-temporal consistency (mm) |
| n_ifg_noloop | Number of interferograms with no loop |
| n_loop_err | Number of unclosed loops |
| resid | RMS of residuals in SB inversion (mm) |
LiCSBAS16_filt_ts.py -t tsadir [-s filtwidth_km] [-y filtwidth_yr] [-r deg] [--nomask]This script applies spatial-temporal filter (HP in time and LP in space with gaussian kernel, same as StaMPS) to the time series of displacement. Deramp can also be applied if specified by -r option.
Fig