geo_velocity.png
geo_temporalCoherence.png
geo_maskTempCoh.png
geo_avgSpatialCoh.png
temporalCoherence.png
maskTempCoh.png
avgSpatialCoh.png
maskConnComp.png
numTriNonzeroIntAmbiguity.png
numInvIfgram.png
velocity.png
geometryRadar.png
coherence_1.png
coherence_2.png
coherence_3.png
coherence_4.png
coherence_5.png
coherence_6.png
coherence_7.png
unwrapPhase_wrap_1.png
unwrapPhase_wrap_2.png
unwrapPhase_wrap_3.png
unwrapPhase_wrap_4.png
unwrapPhase_wrap_5.png
unwrapPhase_wrap_6.png
unwrapPhase_wrap_7.png
unwrapPhase_1.png
unwrapPhase_2.png
unwrapPhase_3.png
unwrapPhase_4.png
unwrapPhase_5.png
unwrapPhase_6.png
unwrapPhase_7.png
connectComponent_1.png
connectComponent_2.png
connectComponent_3.png
connectComponent_4.png
connectComponent_5.png
connectComponent_6.png
connectComponent_7.png
timeseries_tropHgt_demErr_wrap10_2.png
timeseries_tropHgt_wrap10_1.png
timeseries_tropHgt_demErr_wrap10_1.png
timeseries_tropHgt_wrap10_2.png
geo_timeseries_tropHgt_demErr_wrap10_1.png
geo_timeseries_tropHgt_demErr_wrap10_2.png
timeseries_wrap10_2.png
timeseries_wrap10_1.png
avgPhaseVelocity.png
reference_date.txt
20190804
KilaueaSenDT87.template
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit = 87
ssaraopt.startDate = 20180901
####################
topsStack.boundingBox = 19.3 19.5 -155.8 -154.5 # '-1 0.15 -91.6 -90.9'
topsStack.subswath = 1 2 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 3 # comment
topsStack.rangeLooks = 12 # comment
topsStack.filtStrength = 0.4 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
####################
mintpy.compute.cluster = local
mintpy.compute.numWorker = 32
mintpy.load.autoPath = yes
mintpy.subset.lalo = 19.2:19.5,-155.45:-154.95
mintpy.reference.lalo = 19.5059, -155.3477
mintpy.network.startDate = auto # [20090101 / no], auto for no
mintpy.networkInversion.parallel = yes # [yes / no], auto for no, parallel processing
mintpy.networkInversion.minTempCoh = auto #[0.0-1.0], auto for 0.7, min temporal coherence for mask
mintpy.troposphericDelay.method = height_correlation #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.geocode.laloStep = 0.0004,0.0004 #[0.0-90.0 / None], auto for None, output resolution in degree
mintpy.geocode.SNWE = 19.2,19.51,-155.45,-154.98 #[-1.2,0.5,-92,-91 / none ], auto for none, output extent in degree
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 = 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
insarmaps_flag = True
####################