MerapiSenDT76
network: single_reference
geo_velocity.png
geo_temporalCoherence.png
geo_maskTempCoh.png
geo_avgSpatialCoh.png
network.png
coherenceHistory.png
coherenceMatrix.png
rms_timeseriesResidual_ramp.png
temporalCoherence.png
maskTempCoh.png
avgSpatialCoh.png
maskConnComp.png
numInvIfgram.png
velocity.png
geometryRadar.png
coherence_1.png
coherence_2.png
unwrapPhase_wrap_1.png
unwrapPhase_wrap_2.png
unwrapPhase_1.png
unwrapPhase_2.png
connectComponent_1.png
connectComponent_2.png
timeseries_demErr_wrap10_1.png
timeseries_demErr_wrap10_2.png
geo_timeseries_demErr_wrap10_1.png
geo_timeseries_demErr_wrap10_2.png
avgPhaseVelocity.png
pbaseHistory.png
timeseries_wrap10_1.png
timeseries_wrap10_2.png
reference_date.txt
20201113
MerapiSenDT76.template
process_flag = TRUE
frequency = 1
user = famelung
####################
####################
every_day_flag = yes
processor = isce
parallel = yes
cleanopt = 0
hazard_products_flag = TRUE
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit = 76
ssaraopt.startDate = 20180101
####################
topsStack.boundingBox = -7.8 -7.2 108 113 # '-1 0.15 -91.6 -90.9'
topsStack.subswath = 2 # '1 2'
topsStack.numConnections = 4 # comment
#topsStack.excludeDates = 20200301
topsStack.azimuthLooks = 7 # comment
topsStack.rangeLooks = 19 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
####################
#mintpy.reference.lalo = 19.5059, -155.3477
mintpy.troposphericDelay.method = no #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.network.startDate = auto # [20090101 / no], auto for no
mintpy.geocode.laloStep = auto #[-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.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.networkInversion.minTempCoh = 0.55 #[0.0-1.0], auto for 0.7, min temporal coherence for mask
miaplpy.timeseries.minTempCoh = 0.55 # auto for 0.5
miaplpy.load.autoPath = yes
mintpy.subset.lalo = -7.6:-7.49,110.39:110.49
miaplpy.subset.lalo = -7.6:-7.49,110.39:110.49
miaplpy.multiprocessing.numProcessor = 20
miaplpy.load.processor = isce
miaplpy.timeseries.tempCohType = average # [full, average], auto for full.
insarmaps_flag = False