LastarriaSenAT47

mintpy/pic

geo_velocity.png

geo_temporalCoherence.png

geo_maskTempCoh.png

temporalCoherence.png

maskTempCoh.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

coherence_4.png

coherence_5.png

coherence_6.png

coherence_7.png

coherence_8.png

coherence_9.png

coherence_10.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_3.png

unwrapPhase_wrap_4.png

unwrapPhase_wrap_5.png

unwrapPhase_wrap_6.png

unwrapPhase_wrap_7.png

unwrapPhase_wrap_8.png

unwrapPhase_wrap_9.png

unwrapPhase_wrap_10.png

unwrapPhase_1.png

unwrapPhase_2.png

unwrapPhase_3.png

unwrapPhase_4.png

unwrapPhase_5.png

unwrapPhase_6.png

unwrapPhase_7.png

unwrapPhase_8.png

unwrapPhase_9.png

unwrapPhase_10.png

connectComponent_1.png

connectComponent_2.png

connectComponent_3.png

connectComponent_4.png

connectComponent_5.png

connectComponent_6.png

connectComponent_7.png

connectComponent_8.png

connectComponent_9.png

connectComponent_10.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

20191006

geo_velocity.kmz

LastarriaSenAT47.template

ssaraopt.platform                   = SENTINEL-1A,SENTINEL-1B                                                                             
#ssaraopt.startDate                 = 20160101
#ssaraopt.endDate                   = 20220101
ssaraopt.relativeOrbit              = 47                                                                                                 

####################
topsStack.boundingBox               = -25.5 -25.0 -71.0 -65.0                          # -25.1, -25.4, -68.7, -68.3
topsStack.subswath                  = 3                                                # '1 2'                                           
topsStack.numConnections            = 5                                                # comment                                         
topsStack.azimuthLooks              = 5                                               # comment                                         
topsStack.rangeLooks                = 15                                                # 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.subset.lalo                  = -25.23:-25.10,-68.58:-68.44    #[S:N,W:E / no], auto for no
miaplpy.subset.lalo                 = -25.23:-25.10,-68.58:-68.44    #[S:N,W:E / no], auto for no
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)) 
#mintpy.subset.lalo                   = 2.731:2.814,125.367:125.459    #[S:N,W:E / no], auto for no
#mintpy.subset.lalo                   = 63.79:64.15,-22.8:-21.6    #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = auto #  20200101
miaplpy.load.endDate                 = auto
mintpy.geocode.laloStep              = 0.0008,0.0008 

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        = 0.65     # auto for 0.5
mintpy.networkInversion.minTempCoh   = 0.65     # auto for 0.5
#############################################
minsar.insarmaps_flag                = True
minsar.insarmaps_dataset             = filt*DS
minsar.upload_option                 = --geo