Time Series

Time series analysis in MinSAR supports two techniques.

1- One is based on small baseline which is completely done by MintPy software and it starts with unwrapped interferograms. To proceed with this technique, the ISCE work flow must have been interferogram and processingMethod should be smallbaseline in the template file.

processingMethod         = smallbaseline
topsStack.workflow       = interferogram 

Once the process with ISCE has been finished, then the script smallbaseline_wrapper.py is called and it will do the time series analysis and email the results to user. Example:

smallbaseline_wrapper.py $SAMPLESDIR/unittestGalapagosSenDT128.template
smallbaseline_wrapper.py $SAMPLESDIR/unittestGalapagosSenDT128.template --submit  # submit as a job
smallbaseline_wrapper.py $SAMPLESDIR/unittestGalapagosSenDT128.template --email  # email the results

2- The second technique is non-linear phase inversion which is using MiNoPy package for the inversion and MintPy software for the time series corrections and it is based on coregistered SLCs. To proceed with this technique, the ISCE work flow must have been slc and processingMethod should be minopy in the template file.

processingMethod         = minopy
topsStack.workflow       = slc 

Once the process with ISCE has been finished, then the script minopy_wrapper.py is called and it will do the time series analysis and email the results to user. Example:

minopy_wrapper.py $SAMPLESDIR/unittestGalapagosSenDT128.template
minopy_wrapper.py $SAMPLESDIR/unittestGalapagosSenDT128.template --submit  # submit as a job

please refer to https://github.com/geodesymiami/minopy/wiki for more information on how to use MiNoPy and it's functions