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licsbas's Introduction

(note: a testing binder ipynb tutorial is available here)

LiCSBAS

LiCSBAS is an open-source package in Python and bash to carry out InSAR time series analysis using LiCSAR products (i.e., unwrapped interferograms and coherence) which are freely available on the COMET-LiCS web portal.

Users can easily derive the time series and velocity of the displacement if sufficient LiCSAR products are available in the area of interest. LiCSBAS also contains visualization tools to interactively display the time series of displacement to help investigation and interpretation of the results.

Demonstration Video

THIS IS RESEARCH CODE PROVIDED TO YOU "AS IS" WITH NO WARRANTIES OF CORRECTNESS. USE AT YOUR OWN RISK.

Documentation and Bug Reports

See the wiki pages and quick start.

If you have found an issue or bug, please report it on the issues page, while you may also check for answers in the original Yu Morishita implementation issues page.

Sample Products and Tutorial

Citations

Morishita, Y.; Lazecky, M.; Wright, T.J.; Weiss, J.R.; Elliott, J.R.; Hooper, A. LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor. Remote Sens. 2020, 12, 424, https://doi.org/10.3390/RS12030424.

Morishita, Y.: Nationwide urban ground deformation monitoring in Japan using Sentinel-1 LiCSAR products and LiCSBAS. Prog. Earth Planet. Sci. 2021, 8, 6, https://doi.org/10.1186/s40645-020-00402-7.

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. LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity. Remote Sens. 2020, 12, 2430, https://doi.org/10.3390/rs12152430.

Acknowledgements

This work has been accomplished during Y. Morishita’s visit at University of Leeds, funded by JSPS Overseas Research Fellowship. Further updates of the software are organised by the COMET LiCSAR team.

COMET is the UK Natural Environment Research Council's Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics. LiCSAR is developed as part of the NERC large grant, "Looking inside the continents from Space" (NE/K010867/1). LiCSAR contains modified Copernicus Sentinel data [2014-] analysed by the COMET. LiCSAR uses JASMIN, the UK’s collaborative data analysis environment.

The Scientific Colour Maps (Crameri, 2018) is used in LiCSBAS.

Yu Morishita (PhD)
JSPS Overseas Research Fellow (June 2018-March 2020)
Visiting Researcher, COMET, School of Earth and Environment, University of Leeds (June 2018-March 2020)
Chief Researcher, Geography and Crustal Dynamics Research Center, Geospatial Information Authority of Japan (GSI)

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licsbas's Issues

130_sb_inv and 133_cum

130 is my way of running sb_inv using 120ref.txt and a user-defined interferogram list from rounds of unwrapping mistake corrections.
133 recalculates the masking stats using ifgs after the correction and masking and adds them to the cum.h5 file.

Bridge the dry season interferograms

Hi COMET, I am currently using the interferogram product from LiCS as input for LiCSBAS. To bridge the dry season interferograms, may I request the interferograms product to be reprocessed with spatio-temporal baselines parameters of 120 m and 14 months for a particular frame covering my study area please? Thank you in advance. -Daisy

LiCSBAS13_sb_inv.py Error

Hi,

I am encountering an issue when processing frame 056A_04947_282019, step 13. I've not seen the issue with other frames.

It gets most of the way through the inversion before encountering a ValueError: cannot reshape array of size 82214 into shape (23,3737). Full log below:

nohup_out.txt

Many thanks,
Conor

epoch2cum

Create a cum.h5 file from epoch models such as GACOS or tides

Coherence masking

Mask IFGs based on their own coherences, rather than the average
Include plot coherence option for LiCSBAS02

TODO: phase bias

  • LiCSBAS12: allow nullification threshold to have custom value (e.g. if < pi, we could nullify strong phase bias)
  • LiCSBAS12: sum the abs. value of loop closure residuals (identify pixels affected by phase bias) -> maskable

densify network

densify network from a selected good ifg list to achieve a target number of new ifgs to be added

Reload Patches

Ensure that if a job times out during the sb inversion, you can pick up from where you left off by reading in the already processed patches

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