qqqqBamSenD133
miaplpy_202401_202402/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
avgPhaseVelocity.png
coherence.png
connectComponent.png
geo_timeseries_demErr_wrap10.png
pbaseHistory.png
timeseries_demErr_wrap10.png
timeseries_wrap10.png
unwrapPhase.png
unwrapPhase_wrap.png
reference_date.txt
20240212
geo_velocity.kmz
Download file.
qqqqBamSenD133.template
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.startDate = 20240101
ssaraopt.endDate = 20240301
ssaraopt.relativeOrbit = 133
####################
topsStack.subswath = 1 # '1 2'
topsStack.numConnections = 3 # comment
topsStack.azimuthLooks = 3 # comment
topsStack.rangeLooks = 12 # 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
mintpy.networkInversion.minTempCoh = auto
mintpy.reference.minCoherence = 0.5 #[0.0-1.0], auto for 0.85, minimum coherence for auto method
mintpy.networkInversion.minTempCoh = 0.59 # auto for 0.5
####################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
miaplpy.subset.lalo = -3.628:-3.597,144.802:144.835 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = -3.628:-3.597,144.802:144.835 #[S:N,W:E / no], auto for no
mintpy.geocode.laloStep = 0.0002,0.0002 # auto # 0.0008 #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
miaplpy.load.startDate = auto # 20200101
miaplpy.load.endDate = auto
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.
miaplpy.timeseries.tempCohType = full # [full, average], auto for full.
miaplpy.timeseries.minTempCoh = 0.75 # auto for 0.5
minsar.insarmaps_flag = True
minsar.insarmaps_dataset = filt*DS
minsar.upload_option = --geo
##############################################