## 6 Conclusions  
We have developed LiCSBAS as an open-source InSAR time series analysis package integrated with the automated LiCSAR processing chain outputs. LiCSBAS utilizes published LiCSAR products, and users do not need to produce interferograms from SLC data, thus avoiding high data processing time and disk space consumption. LiCSBAS automatically identifies and removes interferograms with many unwrapping errors by the loop closure test and estimates reliable time series and velocities with the help of masking based upon several noise indices. All processing steps are easy to run using a batch script, and users can adjust processing parameters to obtain improved results. The interactive time series viewer aids in the interpretation of the derived displacements. Case studies presented here over Japan demonstrate that LiCSBAS can detect both large-scale and localized deformation with an accuracy of \(<\) 1 cm at each epoch and \(\sim\)2 mm/yr in velocity. These results are validated by comparisons with GNSS and leveling data. Displacements with different temporal characteristics, such as linear, periodic, and episodic, in the Echigo Plain are also successfully and accurately detected. LiCSBAS enables users to easily perform InSAR time series analysis without producing interferograms, thus facilitating the use of globally available and abundant Sentinel-1 data for a wide range of scientific investigations. **Supplementary Materials:** The following are available online at [[http://www.mdpi.com/2072-4292/12/3/424/s1](http://www.mdpi.com/2072-4292/12/3/424/s1)]([http://www.mdpi.com/2072-4292/12/3/424/s1](http://www.mdpi.com/2072-4292/12/3/424/s1)): Figure S1. Quick-look image example of the GACOS correction. Figure S2. Example of masking at Step 0-4. Figure S3. Example of clipping at Step 0-5. Figure S4. Example of bad unwrapped interferograms. Figure S5. Displacement time series at all GNSS stations. Figure S6. Displacement time series at 950179 after removing the constant velocity. Figure S7. Perpendicular baseline configuration and network of the SB interferograms without masking of the northwestern area. Figure S8. LOS velocity with the gap in the network. Figure S9. Time series of groundwater level at Well I and II. Figure S10. Time series of GNSS displacement at 950240, with reference to 960566. Figure S11. Cumulative LOS displacements in Ojiya City, with reference to the first acquisition of 25 November, 2014 for all acquisitions. Figure S12. LOS velocity derived from \(10\times 10\) downsampled dataset. Figure S13. Examples of 12- and 24-days interferograms. **Author Contributions:** Conceptualization, Y.M., T.J.W., J.R.E., and A.H.; methodology, Y.M., T.J.W., J.R.E., and A.H.; software, Y.M. ; validation, Y.M. ; formal analysis, Y.M. ; investigation, Y.M. ; data curation, Y.M., M.L., and J.R.W. ; writing--original draft preparation, Y.M. ; writing--review and editing, all authors; visualization, Y.M. ; supervision, T.J.W. ; project administration, T.J.W. ; and funding acquisition, Y.M. and T.J.W. All authors have read and agreed to the published version of the manuscript. **Funding:** This research was funded by the Japan Society for the Promotion of Science Overseas Research Fellowship. This work is also supported by The Natural Environment Research Council large grant, \"Looking inside the continents from Space\" (NE/K010867/1). [PERSON] is supported by a Royal Society University Research Fellowship (UF150282). The APC was funded by the University of Leeds. **Acknowledgments:** This paper contains modified Copernicus Sentinel data 2014-2019, retrieved from ASF DAAC, processed by ESA, and analyzed by COMET. The LiCSAR products were downloaded from the COMET-LiCS web portal [30]. LiCSAR uses JASMIN, the UK's collaborative data analysis environment ([[http://jasmin.ac.uk](http://jasmin.ac.uk)]([http://jasmin.ac.uk](http://jasmin.ac.uk))). The GACOS data were requested through the GACOS website [45].