qaChilesSenAT120
miaplpy_201701_201712/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
20170430
geo_velocity.kmz
Download file.
qaChilesSenAT120.template
processor = isce
cleanopt = 0
hazard_products_flag = TRUE
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.startDate = 20170101
ssaraopt.endDate = 20180101
ssaraopt.relativeOrbit = 120
####################
topsStack.boundingBox = 0.5 0.93 -81.0 -76.0
topsStack.subswath = 1 2 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 7 # comment
topsStack.rangeLooks = 28 # 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.networkInversion.minTempCoh = 0.7 #[0.0-1.0], auto for 0.7, min temporal coherence for mask
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.geocode.laloStep = 0.0008,0.0008 # auto # 0.00
########################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
miaplpy.subset.lalo = 0.63:0.88,-78.02:-77.81 #[S:N,W:E / no], auto for no
miaplpy.subset.lalo = 0.5963:0.9282,-78.0493:-77.7205 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = 0.5963:0.9282,-78.0493:-77.7205 #[S:N,W:E / no], auto for no
miaplpy.subset.lalo = 0.5963:0.9282,-77.92:-77.72 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = 0.5963:0.9282,-77.92:-77.72 #[S:N,W:E / no], auto for no
miaplpy.subset.lalo = 0.60:0.89,-78.09:-77.80 #[S:N,W:E / no], auto for no
mintpy.subset.lalo = 0.60:0.89,-78.09:-77.80 #[S:N,W:E / no], auto for no
miaplpy.load.startDate = # auto # 20200101
miaplpy.load.endDate = # auto
#mintpy.networkInversion.minTempCoh = 0.80
miaplpy.timeseries.minTempCoh = 0.75 # auto for 0.5
miaplpy.interferograms.delaunayPerpThresh = 90 # [meters] Perp baseline threshold for delaunay triangles, auto for 200
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.
#############################################
insarmaps_flag = False