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Published April 14, 2022 | Version v1.3.3
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insarlab/MintPy: Version 1.3.3

  • 1. California Institute of Technology
  • 2. School of Aquatic and Fisheries Sciences
  • 3. Jet Propulsion Laboratory
  • 4. University of Miami
  • 5. JPL
  • 6. Massey University
  • 7. STAMINA4Space
  • 8. Earth Observatory of Singapore
  • 9. University of Texas at Austin
  • 10. GNS Science
  • 11. ESRI
  • 12. Peking University
  • 13. Alaska Satellite Facility
  • 14. University of Maimi

Description

Cut a new release for Yunjun et al. (2022) and Gregg et al. (2022).

New Features:
  • add closure_phase_bias.py to mask areas susceptible to the closure phase bias (Zheng et al., 2022), contributed by Yujie Zheng
  • add iono_tec.py and simulation/iono.py for GIM-based ionospheric correction for range offset (Yunjun et al., 2022)
  • [preliminary] add TS full covariance matrix calculation and propagation, with contributions from Sara Mirzaee
  • File I/O:
    • support 4D matrix IO in readfile/writefile/cluster.py
    • support SLC stack as FILE_TYPE==timeseries and DATA_TYPE==complex
    • initial NO_DATA_VALUE support as a new standard metadata
    • uavsar: support UAVSAR .ann/lkv/llh files reading and solid Earth tides correction
    • prep_fringe: add "connectComponent" to ifgramStack file if exists, contributed by Brett Buzzanga
  • Utilities:
    • add/diff/image_stitch: generic multi-dataset file support, with contributions from Yuan-Kai Liu and Ollie Stephenson
    • asc_desc2horz_vert.py: support decomposition with pixel-wised geometry via --geom-file option
    • geocode: change the default geocoding output lat/lon step from "same row/col number" to "same pixel area", with contributions from Brett Buzzanga
  • add mintpy.unwrapError.connCompMinArea option, contributed by Sara Mirzaee
  • visualization:
    • plot_network: color-code network based on temp/perp baseline, contributed by Yuan-Kai Liu
    • view: add --no-data-value option
    • tsview: support --coastline via carroty map projection
    • tsview: support very long TS files, e.g. TEC and GRACE datasets in h5 format.
Technical Improvements:
  • drop dependencies on pykdtree, xarray and zarr as they are now properly installed by condo install pyresample.
  • support h5py>=3 by fixing the bool array indexing bug, contributed by Brett Buzzanga
  • support python 3.9 and python 3.10 via documentation change only
  • fix argv/args bug for conda/pip installed version
  • use numpy values as the standard for the string/object conversion between different packages
  • add the first unit test in tests/test_asc_desc2horz_vert.py
  • refactor the following scripts:
    • legacy/load2hdf5.py
    • prep_snap.py
    • objects/gps.get_gps_los_obs()
  • other bugs fix
Contributors:
  • Zhang Yunjun
  • Yujie Zheng
  • Sara Mirzaee
  • Brett Buzzanga
  • Yuan-Kai Liu
  • Ollie Stephenson
  • Zel Hurewitz
  • Marin Govorcin
  • Andrew Johnston

Files

insarlab/MintPy-v1.3.3.zip

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