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File Descriptions

Zhang Yunjun edited this page Sep 6, 2018 · 16 revisions

PySAR uses HDF5 file internally. It loads files generated by ISCE, Gamma and ROI_PAC into the HDF5 format using load_data.py or load_hdf5.py. HDF5 files can be exported into HDF-EOS5, .grd, .mat, ROI_PAC and Google Earth KMZ format using scripts like save_*.py.

All files generated by PySAR follow the single-dataset structure as below, except for 4 predefined file structures: ifgramStack, geometry, timeseries, HDFEOS. Metadata are saved at the root level.

1. Single Dataset File

/ - root level
attributes - metadata
datasetName - 2D/3D dataset

2. IfgramStack File

3. Geometry File

4. Time-series File

5. HDF-EOS5 File

single_dataset

  • averageSpatialCoherence.h5 = temporal mean of all spatial coherence, generated from coherence.h5 in data loading step
  • demGeo.h5 = DEM in geo coordinate, loaded from pysar.dem.geoCoord
  • demRadar.h5 = DEM in radar coordinate, loaded from pysar.dem.radarCoord
  • mask.h5 = mask of non-zero amplitude pixels, generated from .unw file list in data loading step
  • maskTempCoh.h5 = mask of high temporal coherent pixels, generated from temporalCoherence.h5 with threshold (default=0.7)
  • temporalCoherence.h5 = temporal coherence, generated from the inversion of network of interferograms to timeseries
  • velocity.h5 = Line-Of-Sight (LOS) velocity, generated in time series inversion step
  • velocityRmse.h5 = root-mean-square deviation of Mean LOS velocity estimation
  • velocityStd.h5 = standard deviation of Mean LOS velocity estimation

ROI_PAC files

  • geomap_*rlks.trans = ROI_PAC file, with inverse mapping transformation from radar to geo coordinates, check more ROI_PAC File Descriptions, copied in load_data step
  • radar_*rlks.hgt = ROI_PAC DEM file in radar coordinate, check more ROI_PAC File Descriptions, copied in load_data step

Prefixes

  • geo_* = transformed from radar coord to geo coord using geocode.py
  • Modified_* = network modification using modify_network.py
  • subset_* = subset/crop in space using subset.py
  • Seeded_* = referencing/seeding in space using seed_data.py

Suffixes

  • *_demErr = DEM error correction in time series domain
  • *Ex = processed with some date(s) dropped
  • *_ECMWF/MERRA/NARR = tropospheric correction using PyAPS, name is the weather re-analysis data used to estimate the tropospheric phase delay
  • *_plane/quadratic/... = phase ramp removal
  • *_refDate = referencing in time