ParkSenAT48

miaplpy_no_202001_202501/network_single_reference/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

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

20220616

geo_velocity.kmz

ParkSenAT48.template

#######################################################
#
minsar.processor                  = isce
cleanopt                          = 0   # [ 0 / 1 / 2 / 3 / 4]   0,1: none 2: keep merged,geom_master,SLC 3: keep MINTPY 4: everything
processor                         = isce
ssaraopt.platform                 = SENTINEL-1A,SENTINEL-1B
ssaraopt.relativeOrbit            = 48
ssaraopt.startDate                = 20170719
ssaraopt.endDate                  = 20250131
insarmaps_flag                    = False
image_products_flag               = False
#
#######################################################
#
topsStack.boundingBox             = 25.90 26.25 -80.15 -80.05      # -1 0.15 -91.9 -90.6
#topsStack.boundingBox             = -0.81 -0.80 -90.9 -90.86    # -1 0.15 -91.9 -90.6
topsStack.subswath                = 3    # '1 2'
topsStack.numConnections          = 2    # comment
topsStack.azimuthLooks            = 2    # comment
topsStack.rangeLooks              = 8   # comment
topsStack.filtStrength            = 0.3  # comment
topsStack.unwMethod               = snaphu  # comment
topsStack.coregistration          = geometry  # [NESD geometry], auto for NESD
#
#######################################################
#
#mintpy.subset.lalo                   = 25.95:26.20,-80.15:-80.07            #[S:N,W:E / no], auto for no 
#miaplpy.subset.lalo                  = 25.9963:26.2238,-80.1405:-80.0881            #[S:N,W:E / no], auto for no
#miaplpy.load.startDate               = 20170719
#miaplpy.load.endDate                 = 20250131
#mintpy.reference.minCoherence        = 0.7
#minsar.miaplpyDir.addition           = no          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#
mintpy.subset.lalo                   = 25.95:26.20,-80.15:-80.07            #[S:N,W:E / no], auto for no 
miaplpy.subset.lalo                  = 25.9963:26.2238,-80.1405:-80.0881            #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = 20200119
miaplpy.load.endDate                 = 20250131
mintpy.reference.minCoherence        = 0.7
minsar.miaplpyDir.addition           = no          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#
#mintpy.subset.lalo                   = 25.95:26.20,-80.15:-80.07            #[S:N,W:E / no], auto for no 
#miaplpy.subset.lalo                  = 25.9963:26.2238,-80.1405:-80.0881            #[S:N,W:E / no], auto for no
#miaplpy.load.startDate               = 20170719
#miaplpy.load.endDate                 = 20200119
#mintpy.reference.minCoherence        = 0.7
#minsar.miaplpyDir.addition           = no          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
#
#######################################################
mintpy.compute.cluster            = local #[local / slurm / pbs / lsf / none], auto for none, cluster type
mintpy.compute.numWorker          = 20 #[int > 1 / all], auto for 4 (local) or 40 (non-local), num of workers
mintpy.reference.lalo             = auto     #25.73,-80.35     # S of SN
mintpy.networkInversion.parallel  = yes  #[yes / no], auto for no, parallel processing using dask
mintpy.troposphericDelay.method   = no    # pyaps  #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.save.hdfEos5               = yes   #[yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.update        = no   #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.hdfEos5.subset        = yes   #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.kmz                   = yes  #[yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
mintpy.load.autoPath              = yes
#######################################################
#######################################################
miaplpy.load.processor               = isce
miaplpy.load.autoPath                = yes
miaplpy.multiprocessing.numProcessor = 40
miaplpy.interferograms.networkType   = single_reference     # [single_reference, sequential, combine, list] default: single_reference
minsar.miaplpyDir.addition           = no              #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate)) 
minsar.insarmaps_dataset             = DS

mintpy.networkInversion.minTempCoh   = auto     # auto for 0.5
miaplpy.timeseries.minTempCoh        = auto     # auto for 0.5
minsar.insarmaps_flag                = False
minsar.upload_flag                   = True
minsar.insarmaps_dataset             = DS