KarangetangSenDT163
miaplpy_201701_202406/network_delaunay_4/pic
geo_velocity.png
geo_temporalCoherence.png
geo_temporalCoherence_lowpass_gaussian.png
geo_maskTempCoh.png
geo_maskTempCoh_lowpass_gaussian.png
geo_maskPS.png
temporalCoherence.png
temporalCoherence_lowpass_gaussian.png
maskTempCoh.png
maskTempCoh_lowpass_gaussian.png
maskPS.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
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
20171117
geo_velocity.kmz
Download file.
KarangetangSenDT163.template
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.startDate = 20140101
ssaraopt.startDate = 20161231
ssaraopt.relativeOrbit = 163
#ssaraopt.intersectsWith = POLYGON((125.3814 2.7461,125.437 2.7461,125.437 2.8015,125.3814 2.8015,125.3814 2.7461))
####################
#topsStack.boundingBox = 2.5 3.1 124.0 127.0
topsStack.subswath = 1 # '1 2'
topsStack.numConnections = 3 # comment
topsStack.azimuthLooks = 5 # comment
topsStack.rangeLooks = 20 # comment
topsStack.filtStrength = 0.4 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
####################
mintpy.load.autoPath = yes
mintpy.troposphericDelay.method = no #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
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.save.kml = yes # [yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
mintpy.compute.cluster = local
mintpy.compute.numWorker = 32
####################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
miaplpy.subset.lalo = 2.731:2.814,125.367:125.459 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = 2.731:2.814,125.367:125.459 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = 2.0:3.0,125.367:125.459 #[S:N,W:E / no], auto for no
miaplpy.load.startDate = auto # 20200101
miaplpy.load.endDate = auto
mintpy.geocode.laloStep = 0.0002,0.0002
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 = average # [full, average], auto for full. #FA 6/2024: used in first version
mintpy.networkInversion.minTempCoh = auto # auto for 0.5 #FA 6/2024: used in first version
miaplpy.timeseries.tempCohType = full # [full, average], auto for full.
miaplpy.timeseries.minTempCoh = 0.75 # auto for 0.5
mintpy.networkInversion.minTempCoh = 0.75 # auto for 0.5
#############################################
minsar.insarmaps_flag = True
minsar.insarmaps_dataset = DS
minsar.upload_option = --geo