MaunaLoaSenAT124
mintpy/pic
geo_velocity.png

geo_temporalCoherence.png

geo_maskTempCoh.png

temporalCoherence.png

maskTempCoh.png

geo_avgSpatialCoh.png

avgSpatialCoh.png

maskConnComp.png

network.png

coherenceHistory.png

coherenceMatrix.png

rms_timeseriesResidual_ramp.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

coherence_8.png

coherence_9.png

coherence_10.png

coherence_11.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_wrap_8.png

unwrapPhase_wrap_9.png

unwrapPhase_wrap_10.png

unwrapPhase_wrap_11.png

unwrapPhase_1.png

unwrapPhase_2.png

unwrapPhase_3.png

unwrapPhase_4.png

unwrapPhase_5.png

unwrapPhase_6.png

unwrapPhase_7.png

unwrapPhase_8.png

unwrapPhase_9.png

unwrapPhase_10.png

unwrapPhase_11.png

connectComponent_1.png

connectComponent_2.png

connectComponent_3.png

connectComponent_4.png

connectComponent_5.png

connectComponent_6.png

connectComponent_7.png

connectComponent_8.png

connectComponent_9.png

connectComponent_10.png

connectComponent_11.png

timeseries_ERA5_demErr_wrap10_1.png

timeseries_ERA5_demErr_wrap10_2.png

timeseries_ERA5_demErr_wrap10_3.png

timeseries_ERA5_wrap10_1.png

timeseries_ERA5_wrap10_2.png

timeseries_ERA5_wrap10_3.png

geo_timeseries_ERA5_demErr_wrap10_1.png

geo_timeseries_ERA5_demErr_wrap10_2.png

geo_timeseries_ERA5_demErr_wrap10_3.png

avgPhaseVelocity.png

pbaseHistory.png

timeseries_wrap10_1.png

timeseries_wrap10_2.png

timeseries_wrap10_3.png

velocityERA5.png

reference_date.txt
20200602
geo_velocity.kmz
Download file.
MaunaLoaSenAT124.template
####################
every_day_flag = yes
processor = isce
parallel = yes
cleanopt = 0
hazard_products_flag = TRUE
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit = 124
#ssaraopt.startDate = 20180904
####################
topsStack.boundingBox = 18.9 20.0 -156.1 -154.5 # '-1 0.15 -91.6 -90.9'
topsStack.subswath = 2 3 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 2 # comment
topsStack.rangeLooks = 8 # comment
topsStack.azimuthLooks = 5 # comment
topsStack.rangeLooks = 20 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
topsStack.excludeDates = 20161021,20200301
####################
#mintpy.reference.lalo = 19.5059, -155.3477
mintpy.troposphericDelay.method = auto #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
#mintpy.network.startDate = 20200801 # [20090101 / no], auto for no
mintpy.geocode.laloStep = 0.0002,0.0002 #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.geocode.laloStep = 0.0008,0.0008 #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.load.autoPath = yes
mintpy.compute.cluster = local
mintpy.compute.numWorker = 32
mintpy.solidEarthTides = no #[yes / no], auto for no
#mintpy.timeFunc.stepDate = 20210306 #[20110311,20170908 / 20120928T1733 / no], auto for no, step function(s)
#mintpy.reference.lalo = 19.58,-155.46
#mintpy.subset.lalo = 19.38:19.53,-155.69:-155.45 #[S:N,W:E / no], auto for no
#mintpy.subset.lalo = 19.31:19.60,-155.74:-155.40 #[S:N,W:E / no], auto for no
#mintpy.subset.lalo = 19.23:19.68,-155.83:-155.31 #[S:N,W:E / no], auto for no
#mintpy.subset.lalo = 19.43:19.51,-155.65:-155.54 #[S:N,W:E / no], auto for no
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 subset range info in output filename
#mintpy.reference.lalo = 19.52,-155.56 # 19.52,-155.56 for Asc, 19.52,-155.51 for Desc
#mintpy.subset.lalo = 19.43:19.51,-155.65:-155.54 #[S:N,W:E / no], auto for no
#mintpy.subset.lalo = 19.31:19.60,-155.74:-155.40 #[S:N,W:E / no], auto for no
#mintpy.subset.lalo = 19.23:19.68,-155.83:-155.31 #[S:N,W:E / no], auto for no
####################
insarmaps_flag = True