MerapiSenDT76
network: delaunay
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
numTriNonzeroIntAmbiguity.png
numInvIfgram.png
velocity.png
geometryRadar.png
coherence_1.png
coherence_2.png
coherence_3.png
unwrapPhase_wrap_1.png
unwrapPhase_wrap_2.png
unwrapPhase_wrap_3.png
unwrapPhase_1.png
unwrapPhase_2.png
unwrapPhase_3.png
connectComponent_1.png
connectComponent_2.png
connectComponent_3.png
avgPhaseVelocity.png
geo_timeseries_demErr_wrap10.png
pbaseHistory.png
timeseries_demErr_wrap10.png
timeseries_wrap10.png
reference_date.txt
20190129
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
####################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
miaplpy.multiprocessing.numProcessor = 40
miaplpy.load.processor = isce
miaplpy.load.autoPath = yes
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
mintpy.geocode.laloStep = 0.0002,0.0002
miaplpy.interferograms.networkType = delaunay # [single_reference, sequential, combine, list] default: single_reference
miaplpy.timeseries.tempCohType = full # [full, average], auto for full.
mintpy.networkInversion.minTempCoh = 0.7 #[0.0-1.0], auto for 0.7, min temporal coherence for mask
miaplpy.timeseries.minTempCoh = 0.85 # auto for 0.5
mintpy.subset.lalo = -7.6:-7.49,110.39:110.49
miaplpy.subset.lalo = -7.6:-7.49,110.39:110.49
mintpy.subset.lalo = -7.61:-7.49,110.39:110.49
miaplpy.subset.lalo = -7.61:-7.49,110.39:110.49
####################
insarmaps_flag = False
minsar.insarmaps_dataset = PSDS # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)