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File Descriptions
Zhang Yunjun edited this page Apr 13, 2017
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PySAR use HDF5 file internally. It loads ROI_PAC file into .h5 file in the beginning and has the capability to output to UNAVCO hdf5 file, .grd file, ROI_PAC file and Google Earth KMZ file.
There are 3 types of HDF5 file structures used in PySAR:
- multi_group (Ngroup-1dset-1atr) = multiple groups with one dataset and one attribute dict per group
i.e. interferograms, coherence, wrapped, snaphu_connect_component - multi_dataset (1group-Ndset-1atr) = one group with multiple dataset and one attribute dict per group
i.e. timeseries - single_dataset (1group-1dset-1atr) = one group with one dataset and one attribute dict per group
i.e. velocity, dem, rmse, temporal_coherence, mask
- coherence.h5 = spatial coherence files loaded from ROI_PAC, generated in load_data step
- snaphuConnectComponent.h5 = multi_group type, mask of connect component files from SNAPHU phase unwrapping, loaded from ROI_PAC, generated in load_data step
- wrapIfgram.h5 = wrapped interferograms loaded from ROI_PAC, generated in load_data step
- unwrapIfgram.h5 = unwrapped interferograms loaded from ROI_PAC, generated in load_data step
- timeseries.h5 = multi_dataset type, time series displacement, generated in network inversion step
- 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)
- velocity.h5 = single_dataset type, Line-Of-Sight (LOS) velocity, generated in time series inversion step
- 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
- 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
- *_demErr = DEM error correction in time series domain
- *_ex = date(s) have been 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