Yunjun, Z., H. Fattahi, F. Amelung (2019), Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction, Computers & Geosciences, 133, 104331, doi:10.1016/j.cageo.2019.104331, ArXiv, Code.
Data (zenodo)
The Sentinel-1 and ALOS-1 InSAR time-series for Galápagos volcanoes are available at https://zenodo.org/record/3464191, including the interferogram stacks (starting point) and displacement time-series (final product) together with their Google Earth KMZ files.
Figures (nbviewer)
NOTE: This notebook is based on the released version of MintPy-1.2 and NOT maintained for future development. All figures are plotted using matplotlib.
- 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.
