qunittestGalapagosSenDT128

miaplpy_SN_201606_201608/network_single_reference/pic

geo_velocity.png

geo_temporalCoherence.png

geo_temporalCoherence_lowpass_gaussian.png

geo_maskTempCoh.png

geo_maskTempCoh_lowpass_gaussian.png

geo_maskPS.png

temporalCoherence.png

temporalCoherence_lowpass_gaussian.png

maskTempCoh.png

maskTempCoh_lowpass_gaussian.png

maskPS.png

geo_avgSpatialCoh.png

avgSpatialCoh.png

maskConnComp.png

network.png

coherenceHistory.png

coherenceMatrix.png

rms_timeseriesResidual_ramp.png

numInvIfgram.png

velocity.png

geometryRadar.png

avgPhaseVelocity.png

coherence.png

connectComponent.png

geo_timeseries_demErr_wrap10.png

pbaseHistory.png

timeseries_demErr_wrap10.png

timeseries_wrap10.png

unwrapPhase.png

unwrapPhase_wrap.png

reference_date.txt

20160605

geo_velocity.kmz

qunittestGalapagosSenDT128.template

#####################################################
# If  the data are in $TESTDATA_ISCE, run using
# minsarApp.bash /work2/05861/tg851601/stampede2/code/rsmas_insar/samples/unittestGalapagosSenDT128.template --miaplpy --start dem
######################################################
cleanopt                        = 0   # [ 0 / 1 / 2 / 3 / 4]   0,1: none 2: keep merged,geom_master,SLC 3: keep MINTPY 4: everything
ssaraopt.platform               = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit          = 128
ssaraopt.startDate              = 20160601
ssaraopt.endDate                = 20160831
minsar.upload_flag              = False      # [True / False / auto ], upload to jetstream (Default: True)
minsar.insarmaps_flag           = False     # [True / False / auto ], ingest into insarmaps (Default: False)
minsar.insarmaps_dataset        = DS       # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)

######################################################

topsStack.boundingBox           = -1 -0.6 -91.9 -90.7      # -1 0.15 -91.9 -90.6
topsStack.boundingBox           = -0.81 -0.80 -90.9 -90.86    # -1 0.15 -91.9 -90.6
topsStack.subswath              = 1    # '1 2'
topsStack.numConnections        = 3    # comment
topsStack.azimuthLooks          = 5    # comment
topsStack.rangeLooks            = 15   # comment
topsStack.filtStrength          = 0.2  # comment
topsStack.unwMethod             = snaphu  # comment
topsStack.coregistration        = geometry  # [NESD geometry], auto for NESD
topsStack.slcDir                = $TESTDATA_ISCE/unittestGalapagosSenDT128/SLC

######################################################

mintpy.compute.cluster           = local #[local / slurm / pbs / lsf / none], auto for none, cluster type
mintpy.compute.numWorker         = 6 #[int > 1 / all], auto for 4 (local) or 40 (non-local), num of workers
mintpy.reference.lalo            = auto # -0.82,-91.14     # S of SN
mintpy.networkInversion.parallel = yes  #[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.hdfEos5.subset       = yes   #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.kmz                  = yes  #[yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
mintpy.load.autoPath             = yes
mintpy.subset.lalo               = -0.86:-0.81,-91.19:-91.13    #[31.5:32.5,130.5:131.0 / no], auto for no

######################################################

miaplpy.load.processor               = isce  
miaplpy.load.autoPath                = yes
miaplpy.multiprocessing.numProcessor = 40
miaplpy.subset.lalo                  = -0.86:-0.81,-91.19:-91.13    #[31.5:32.5,130.5:131.0 / no], auto for no
miaplpy.interferograms.networkType   = single_reference     # [single_reference, sequential, combine, list] default: single_reference
minsar.miaplpyDir.addition           = SN              #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate)) 
minsar.insarmaps_dataset             = DS

mintpy.networkInversion.minTempCoh   = 0.6     # auto for 0.5
miaplpy.timeseries.minTempCoh        = 0.6     # auto for 0.5
minsar.insarmaps_flag                = False
minsar.upload_flag                   = True
minsar.insarmaps_dataset             = DS