MiamiTsxSMDT36

miaplpy_Grove_201709_202110/network_delaunay_4/pic

geo_velocity.png

geo_velocity.png

geo_temporalCoherence.png

geo_temporalCoherence.png

geo_temporalCoherence_lowpass_gaussian.png

geo_temporalCoherence_lowpass_gaussian.png

geo_maskTempCoh.png

geo_maskTempCoh.png

geo_maskTempCoh_lowpass_gaussian.png

geo_maskTempCoh_lowpass_gaussian.png

geo_maskPS.png

geo_maskPS.png

temporalCoherence.png

temporalCoherence.png

temporalCoherence_lowpass_gaussian.png

temporalCoherence_lowpass_gaussian.png

maskTempCoh.png

maskTempCoh.png

maskTempCoh_lowpass_gaussian.png

maskTempCoh_lowpass_gaussian.png

maskPS.png

maskPS.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

unwrapPhase_wrap_1.png

unwrapPhase_wrap_1.png

unwrapPhase_wrap_2.png

unwrapPhase_wrap_2.png

unwrapPhase_1.png

unwrapPhase_1.png

unwrapPhase_2.png

unwrapPhase_2.png

connectComponent_1.png

connectComponent_1.png

connectComponent_2.png

connectComponent_2.png

avgPhaseVelocity.png

avgPhaseVelocity.png

geo_timeseries_demErr_wrap10.png

geo_timeseries_demErr_wrap10.png

pbaseHistory.png

pbaseHistory.png

timeseries_demErr_wrap10.png

timeseries_demErr_wrap10.png

timeseries_wrap10.png

timeseries_wrap10.png

reference_date.txt

20190316

geo_velocity.kmz

Download file.

MiamiTsxSMDT36.template

ssaraopt.collectionName               = TSX ARC_famelung_COA3837
ssaraopt.beamSwath                    = strip_014
ssaraopt.relativeOrbit                = 36
unavco.relative_orbit                 = 36
ssaraopt.startDate                    = 20160101           # DON'T REMOVE!!!  Needed to avoid using 2013 image which causes problem stackStripMap
#ssaraopt.endDate                      = 20171110
#################################################
raw_image_dir                         =  ./SLC_ORIG
acquisition_mode                      = stripmap

stripmapStack.sensor                  = tsx
stripmapStack.zerodop                 = True
stripmapStack.nofocus                 = True

stripmapStack.boundingBox             = 25.8384 25.9184 -80.1656 -80.1174
stripmapStack.boundingBox             = 25.52 26.0 -80.41 -80.1174
stripmapStack.azimuthLooks            = 10
stripmapStack.rangeLooks              = 10
stripmapStack.timeThreshold           = 90
stripmapStack.baselineThreshold       = 4500
stripmapStack.golsteinFilterStrength  = 0.2          
stripmapStack.unwMethod               = snaphu     
#################################################
mintpy.troposphericDelay.method       = no
mintpy.reference.minCoherence         = 0.7   #[0.0-1.0], auto for 0.85, minimum coherence for auto method

mintpy.load.autoPath                  = yes
mintpy.compute.cluster                = local
mintpy.compute.numWorker              = 20
mintpy.save.hdfEos5                   = yes
mintpy.save.hdfEos5.update            = no
mintpy.save.hdfEos5.subset            = yes   #[yes / no], auto for no, put subset range info   in output filename
#################################################
miaplpy.multiprocessing.numProcessor = 40
miaplpy.load.processor               = isce

###### Surfside_only ######
mintpy.subset.lalo                   = 25.89:25.906,-80.129:-80.115            # Surfside_only

###### Downtown ######
minsar.miaplpyDir.addition           = Downtown          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
mintpy.subset.lalo                   = 25.75:25.817,-80.202:-80.182    #[S:N,W:E / no], auto for no
miaplpy.subset.lalo                  = 25.75:25.817,-80.202:-80.182    #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = auto
miaplpy.load.endDate                 = auto
mintpy.reference.lalo                = auto # 25.9334,-80.1237                         # W Brickel Marquis condo

miaplpy.interferograms.networkType   = sequential
miaplpy.interferograms.networkType   = delaunay

###### Miami-Dade County Beaches ######
minsar.miaplpyDir.addition           = MDCBeach          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
miaplpy.subset.lalo                  = 25.765:25.98,-80.147:-80.1146    #[S:N,W:E / no], auto for no
mintpy.subset.lalo                   = 25.765:25.98,-80.147:-80.1146    #[S:N,W:E / no], auto for no
miaplpy.load.endDate                 = auto
mintpy.reference.lalo                = auto # 25.9334,-80.1237                         # W Brickel Marquis condo

###### Grove ######
minsar.miaplpyDir.addition           = Grove          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
mintpy.subset.lalo                   = 25.722:25.738,-80.263:-80.225    #[S:N,W:E / no], auto for no
miaplpy.subset.lalo                  = 25.722:25.738,-80.263:-80.225    #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = auto
miaplpy.load.endDate                 = auto
mintpy.reference.lalo                = auto # 25.9334,-80.1237                         # W Brickel Marquis condo

#################################################
minsar.insarmaps_flag               = True
minsar.upload_flag                  = True
minsar.insarmaps_dataset            = PS