BaekduSenDT134
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
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
20150623
geo_velocity.kmz
Download file.
BaekduSenDT134.template
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
#ssaraopt.startDate = 20160101
#ssaraopt.endDate = 20201211
ssaraopt.relativeOrbit = 134
####################
topsStack.boundingBox = 41.7 42.2 126 130 # '-1 0.15 -91.6 -90.9'
topsStack.subswath = 3 # '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.compute.cluster = local
mintpy.compute.numWorker = 32
mintpy.plot.maxMemory = 32 # [float], auto for 4, max memory used by one call of view.py for plotting
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.troposphericDelay.method = no # [pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.networkInversion.minTempCoh = auto
####################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
mintpy.subset.lalo = 41.95:42.06,127.97:128.174 #[S:N,W:E / no], auto for no
miaplpy.subset.lalo = 41.95:42.06,127.97:128.174 #[S:N,W:E / no], auto for no
miaplpy.start.endDate = auto
miaplpy.load.endDate = auto
mintpy.geocode.laloStep = 0.0002,0.0002
#mintpy.reference.minCoherence = 0.3 #[0.0-1.0], auto for 0.85, minimum coherence for auto method
#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 = 0.85 # auto for 0.5
#############################################
minsar.insarmaps_dataset = DS # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)
insarmaps_flag = False