ChilesSenDT142

mintpy/pic

geo_velocity.png

geo_velocity.png

geo_temporalCoherence.png

geo_temporalCoherence.png

geo_maskTempCoh.png

geo_maskTempCoh.png

temporalCoherence.png

temporalCoherence.png

maskTempCoh.png

maskTempCoh.png

geo_avgSpatialCoh.png

geo_avgSpatialCoh.png

avgSpatialCoh.png

avgSpatialCoh.png

maskConnComp.png

maskConnComp.png

network.png

network.png

coherenceHistory.png

coherenceHistory.png

coherenceMatrix.png

coherenceMatrix.png

rms_timeseriesResidual_ramp.png

rms_timeseriesResidual_ramp.png

numTriNonzeroIntAmbiguity.png

numTriNonzeroIntAmbiguity.png

numInvIfgram.png

numInvIfgram.png

velocity.png

velocity.png

geometryRadar.png

geometryRadar.png

coherence_1.png

coherence_1.png

coherence_2.png

coherence_2.png

coherence_3.png

coherence_3.png

coherence_4.png

coherence_4.png

coherence_5.png

coherence_5.png

coherence_6.png

coherence_6.png

coherence_7.png

coherence_7.png

coherence_8.png

coherence_8.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_3.png

unwrapPhase_wrap_3.png

unwrapPhase_wrap_4.png

unwrapPhase_wrap_4.png

unwrapPhase_wrap_5.png

unwrapPhase_wrap_5.png

unwrapPhase_wrap_6.png

unwrapPhase_wrap_6.png

unwrapPhase_wrap_7.png

unwrapPhase_wrap_7.png

unwrapPhase_wrap_8.png

unwrapPhase_wrap_8.png

unwrapPhase_1.png

unwrapPhase_1.png

unwrapPhase_2.png

unwrapPhase_2.png

unwrapPhase_3.png

unwrapPhase_3.png

unwrapPhase_4.png

unwrapPhase_4.png

unwrapPhase_5.png

unwrapPhase_5.png

unwrapPhase_6.png

unwrapPhase_6.png

unwrapPhase_7.png

unwrapPhase_7.png

unwrapPhase_8.png

unwrapPhase_8.png

connectComponent_1.png

connectComponent_1.png

connectComponent_2.png

connectComponent_2.png

connectComponent_3.png

connectComponent_3.png

connectComponent_4.png

connectComponent_4.png

connectComponent_5.png

connectComponent_5.png

connectComponent_6.png

connectComponent_6.png

connectComponent_7.png

connectComponent_7.png

connectComponent_8.png

connectComponent_8.png

timeseries_demErr_wrap10_1.png

timeseries_demErr_wrap10_1.png

timeseries_demErr_wrap10_2.png

timeseries_demErr_wrap10_2.png

timeseries_demErr_wrap10_3.png

timeseries_demErr_wrap10_3.png

geo_timeseries_demErr_wrap10_1.png

geo_timeseries_demErr_wrap10_1.png

geo_timeseries_demErr_wrap10_2.png

geo_timeseries_demErr_wrap10_2.png

geo_timeseries_demErr_wrap10_3.png

geo_timeseries_demErr_wrap10_3.png

avgPhaseVelocity.png

avgPhaseVelocity.png

pbaseHistory.png

pbaseHistory.png

timeseries_wrap10_1.png

timeseries_wrap10_1.png

timeseries_wrap10_2.png

timeseries_wrap10_2.png

timeseries_wrap10_3.png

timeseries_wrap10_3.png

reference_date.txt

20200422

geo_velocity.kmz

Download file.

ChilesSenDT142.template

process_flag                        = TRUE                                                                                                
frequency                           = 1                                                                                                   
login                               = pegasus.ccs.miami.edu                                                                               
user                                = famelung                                                                                            
####################
every_day_flag                      = yes                                                                                                 
processor                           = isce                                                                                                
cleanopt                            = 0                                                                                                   
hazard_products_flag                = TRUE                                                                                                
ssaraopt.platform                   = SENTINEL-1A,SENTINEL-1B                                                                             
ssaraopt.startDate                  = 20150501
ssaraopt.relativeOrbit              = 142                                                                                                 
####################
topsStack.boundingBox                 = 0.5 0.93 -81.0 -76.0
topsStack.subswath                  = 2 3                                               # '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  # 0.0008  #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
####################

minsar.miaplpyDir.addition           = date          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate)) 
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                  = 0.60:0.89,-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               = 20150501                           #  20200101
miaplpy.load.startDate               = 20210111                           #  20200101

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        = 19   # range window size for searching SHPs, auto for 15
miaplpy.inversion.azimuthWindow      = 9   # azimuth window size for searching SHPs, auto for 15
miaplpy.timeseries.tempCohType       = average  # [full, average], auto for full.
miaplpy.timeseries.minTempCoh        = auto     # auto for 0.5
#############################################
insarmaps_flag                       = False