IliwerungSenAT39

miaplpy_201701_202405/network_delaunay_4/pic

geo_velocity.png

geo_velocity.png

geo_temporalCoherence.png

geo_temporalCoherence.png

geo_temporalCoherence_lowpass_gaussian.png

geo_temporalCoherence_lowpass_gaussian.png

geo_maskTempCoh.png

geo_maskTempCoh.png

geo_maskTempCoh_lowpass_gaussian.png

geo_maskTempCoh_lowpass_gaussian.png

geo_maskPS.png

geo_maskPS.png

temporalCoherence.png

temporalCoherence.png

temporalCoherence_lowpass_gaussian.png

temporalCoherence_lowpass_gaussian.png

maskTempCoh.png

maskTempCoh.png

maskTempCoh_lowpass_gaussian.png

maskTempCoh_lowpass_gaussian.png

maskPS.png

maskPS.png

geo_avgSpatialCoh.png

geo_avgSpatialCoh.png

avgSpatialCoh.png

avgSpatialCoh.png

maskConnComp.png

maskConnComp.png

network.png

network.png

coherenceHistory.png

coherenceHistory.png

coherenceMatrix.png

coherenceMatrix.png

rms_timeseriesResidual_ramp.png

rms_timeseriesResidual_ramp.png

numTriNonzeroIntAmbiguity.png

numTriNonzeroIntAmbiguity.png

numInvIfgram.png

numInvIfgram.png

velocity.png

velocity.png

geometryRadar.png

geometryRadar.png

coherence_1.png

coherence_1.png

coherence_2.png

coherence_2.png

coherence_3.png

coherence_3.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_3.png

unwrapPhase_wrap_3.png

unwrapPhase_1.png

unwrapPhase_1.png

unwrapPhase_2.png

unwrapPhase_2.png

unwrapPhase_3.png

unwrapPhase_3.png

connectComponent_1.png

connectComponent_1.png

connectComponent_2.png

connectComponent_2.png

connectComponent_3.png

connectComponent_3.png

timeseries_ERA5_demErr_wrap10_1.png

timeseries_ERA5_demErr_wrap10_1.png

timeseries_ERA5_demErr_wrap10_2.png

timeseries_ERA5_demErr_wrap10_2.png

timeseries_ERA5_wrap10_1.png

timeseries_ERA5_wrap10_1.png

timeseries_ERA5_wrap10_2.png

timeseries_ERA5_wrap10_2.png

geo_timeseries_ERA5_demErr_wrap10_1.png

geo_timeseries_ERA5_demErr_wrap10_1.png

geo_timeseries_ERA5_demErr_wrap10_2.png

geo_timeseries_ERA5_demErr_wrap10_2.png

avgPhaseVelocity.png

avgPhaseVelocity.png

pbaseHistory.png

pbaseHistory.png

timeseries_wrap10_1.png

timeseries_wrap10_1.png

timeseries_wrap10_2.png

timeseries_wrap10_2.png

velocityERA5.png

velocityERA5.png

reference_date.txt

20200427

geo_velocity.kmz

Download file.

IliwerungSenAT39.template

ssaraopt.platform                   = SENTINEL-1A,SENTINEL-1B                                                                             
ssaraopt.startDate                  = 20170101
ssaraopt.relativeOrbit              = 39                                                                                                 
####################
topsStack.boundingBox               = -8.80 -8.20 122.0 126.0
topsStack.subswath                  = 2                                               # '1 2'                                           
topsStack.numConnections            = 3                                                 # comment                                         
topsStack.azimuthLooks              = 4                                                 # comment                                         
topsStack.rangeLooks                = 16                                                # comment                                         
topsStack.filtStrength              = 0.4                                               # comment                                         
topsStack.unwMethod                 = snaphu                                            # comment                                         
topsStack.coregistration            = auto                                              # [NESD geometry], auto for NESD                  
####################
mintpy.load.autoPath               = yes
mintpy.troposphericDelay.method     = auto                                #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.networkInversion.parallel    = no                                                #[yes / no], auto for no, parallel processing    
mintpy.save.hdfEos5                 = yes                                               # [yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.subset          = yes     #[yes / no], auto for no, put subset range info   in output filenam
mintpy.save.hdfEos5.update          = no                                                # [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
mintpy.compute.cluster              = local
mintpy.compute.numWorker            = 32
mintpy.geocode.laloStep             = 0.0002,0.0002   #  auto  # 0.0008  #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.networkInversion.minTempCoh  = auto

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

minsar.miaplpyDir.addition           = date          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate)) 
miaplpy.subset.lalo                  = -8.552:-8.486,123.555:123.591    #[S:N,W:E / no], auto for no
mintpy.subset.lalo                   = -8.552:-8.486,123.555:123.591    #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = 20170101 #  20200101
miaplpy.load.endDate                 = auto
mintpy.geocode.laloStep              = 0.0002,0.0002 
mintpy.reference.lalo                = -8.549,123.575 #[31.8,130.8 / auto]

miaplpy.interferograms.delaunayTempThresh = 90     # [days] temporal threshold for delaunay triangles, auto for 60
miaplpy.interferograms.networkType   = single_reference    # network
miaplpy.interferograms.networkType   = delaunay            # network

#############################################
miaplpy.load.processor               = isce
miaplpy.multiprocessing.numProcessor = 40
miaplpy.inversion.rangeWindow        = 24   # range window size for searching SHPs, auto for 15
miaplpy.inversion.azimuthWindow      = 7   # azimuth window size for searching SHPs, auto for 15
miaplpy.timeseries.tempCohType       = full  # [full, average], auto for full.
miaplpy.timeseries.minTempCoh        = 0.80     # auto for 0.5
mintpy.networkInversion.minTempCoh   = 0.80     # auto for 0.5
minsar.insarmaps_flag                 = True       # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)
minsar.insarmaps_dataset              = DS       # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)
minsar.upload_option                  = --geo