Revision 4ee67f9ac5ed09809c15996820ec22102e9aeff0 authored by Zhang Yunjun on 26 July 2019, 05:13:14 UTC, committed by GitHub on 26 July 2019, 05:13:14 UTC
* Update contributing docs * connectComponent: byte to int16 prep_aria.py and objects/stackDict.py: + change the data type of connectComponent dataset from BYTE to INT16 to support up to 32767 reliable regions/connected components for single interferograms. + turn ON compression of "lzf" while writing connectComponent to HDF5 file to save disk space prep_aria.py: + add FILE_TYPE metadata + add MODIFICATION_TIME metadata to 3D datasets + turn ON chunks while writing HDF5 to speedup file IO + turn ON maxshape for 3D datasets to support updatable ifgramStack.h5: feature not used anyway yet; just to be consistent with mintpy. update default plot settings for connectComponent dataset in view.py and plot.py
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unittestGalapagosSenDT128.template
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cleanopt = 0 # [ 0 / 1 / 2 / 3 / 4] 0,1: none 2: keep merged,geom_master,SLC 3: keep MINTPY 4: everything
processor = isce
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit = 128
ssaraopt.frame = 590-593
ssaraopt.startDate = 20160601
ssaraopt.endDate = 20160831
demMethod = boundingBox
hazard_products_flag = True
insarmaps_flag = False
######################################################
topsStack.boundingBox = -0.7 -0.6 -91.7 -90.9 # -1 0.15 -91.6 -90.9
topsStack.subswath = 1 # '1 2'
topsStack.numConnections = 5 # comment
topsStack.azimuthLooks = 5 # comment
topsStack.rangeLooks = 15 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
topsStack.slcDir = $TESTDATA_ISCE/unittestGalapagosSenDT128/SLC
mintpy.reference.lalo = -0.7,-91.3 # N of SN
mintpy.networkInversion.parallel = yes #[yes / no], auto for no, parallel processing using dask
mintpy.networkInversion.walltime = 00:05 #[yes / no], auto for no, parallel processing using dask
mintpy.troposphericDelay.method = no # pyaps #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.save.hdfEos5 = yes #[yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.update = yes #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.kml = yes #[yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
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