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README.md

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Figures in Jupyter Notebook for:

  • Yunjun, Z., H. Fattahi, F. Amelung, 2019, Small baseline InSAR time series analysis: unwrapping error correction and noise reduction (under review), preprint doi:10.31223/osf.io/9sz6m.

Content (nbviewer)

  • Fig. 1 - Performance of four weight functions.
  • Fig. 2 - Phase-unwrapping error correction with bridging.
  • Fig. 3 - Characteristics of phase-unwrapping error in the closure phase.
  • Fig. 4 - Phase-unwrapping error correction with phase closure.
  • Fig. 5 - Routine workflow.
  • Fig. 6 - Velocity at Isabela, Fernandina and Santiago islands.
  • Fig. 7 - Displacement time-series at Fernandina island.
  • Fig. 8 - Comparing InSAR with GPS.
  • Fig. 9 - Assessment of phase-unwrapping error correction using temporal coherence.
  • Fig. 10 - Impact of network modification using temporal coherence.
  • Fig. 11 - Spatial inspection of the inverted raw phase.
  • Fig. 12 - Impact of noisy acquisitions on velocity estimation.
  • Fig. 13 - Phase corrections in the time-series domain.
  • Fig. 14 - Impact of network redundancy.
  • Fig. 15 - Advantage and limitation of temporal coherence as reliability measure.
  • Fig. 16 - Comparing MintPy with GIAnT.