This repository contains Python scripts for decomposing and reconstructing InSAR time-series data using Singular Spectrum Analysis (SSA).
-
ssa.py: A Python class for SSA, modified from this Kaggle notebook. -
ts_1D.py: Reads the InSAR time-series from Mintpy and provides the reconstructed time-series for a partcular location. -
mintpy_ssa.py: Reads the InSAR time-series from Mintpy and provides the reconstructed time-series in HDF5 (.h5) format.
- Decomposition and Reconstruction: Utilizes SSA to decompose InSAR time-series data into components and reconstructs the time-series.
- Integration with Mintpy: Designed to work with time-series data produced by Mintpy.
- Output: The reconstructed time-series is saved in HDF5 format for efficient storage and access.
- Python3, numpy, pandas, scipy, matplotlib
- Mintpy
The main executable for this library is mintpy_ssa.py.
mintpy_ssa.py <timeseries file> -w <Window Length> -o <Output file name>.
<timeseries file>: The input file containing the time series data.-w <Window Length>: The Window Lenght to be used for SSA.-o <Output file name>: The name of the file where the output will be saved.
An example run-string would be:
mintpy_ssa.py timeseries.h5 -w 7 -o timeseries_ssa.h5
-
Jasir, M. C. M., Sreejith, K. M., Agrawal, R., and Begum, S. K. (2024). Application of Singular Spectrum Analysis to InSAR time-series for constraining the postseismic deformation due to moderate magnitude earthquakes: The case of 2019 Mw 6 Mirpur earthquake, NW Himalaya. Geophysical Journal International. https://doi.org/10.1093/gji/ggae287
-
Sreejith, K. M., Jasir, M. C. M., Sunil, P. S., Rose, M. S., Saji, A. P., Agrawal, R., et al. (2024). Geodetic evidence for cascading landslide motion triggered by extreme rain events at Joshimath, NW Himalaya. Geophysical Research Letters, 51, e2023GL106427. https://doi.org/10.1029/2023GL106427