MaunaLoatestCskAT10

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

avgPhaseVelocity.png

coherence.png

connectComponent.png

geo_timeseries_tropHgt_demErr_wrap10.png

pbaseHistory.png

timeseries_tropHgt_demErr_wrap10.png

timeseries_tropHgt_wrap10.png

timeseries_wrap10.png

unwrapPhase.png

unwrapPhase_wrap.png

reference_date.txt

20201025

geo_velocity.kmz

MaunaLoatestCskAT10.template

############## DOWNLOAD, GENERAL OPTIONS ##############

acquisition_mode        = stripmap
ssaraopt.platform       = COSMO-SKYMED-1,COSMO-SKYMED-2,COSMO-SKYMED-3,COSMO-SKYMED-4
ssaraopt.relativeOrbit  = 10
unavco.relative_orbit   = 10
##ssaraopt.intersectsWithPoint = -155.6 19.45
ssaraopt.intersectsWith = POINT( -155.6 19.45 ) 
#ssaraopt.collectionName = "Supersites CSK Hawaii"
ssaraopt.collectionName = Supersites CSK Hawaii
ssaraopt.startDate      = 20201001
ssaraopt.endDate        = 20210328
##################### ISCE OPTIONS ####################
stripmapStack.boundingBox    = 19.1 19.7 -155.5 -154.9                           # '-1 0.15 -91.6 -90.9'                           
stripmapStack.azimuthLooks         = 16
stripmapStack.rangeLooks           = 16
stripmapStack.timeThreshold        = 180
stripmapStack.baselineThreshold    = 3000
stripmapStack.unwMethod            = snaphu
#stripmapStack.watermask            = no
stripmapStack.sensor               = csk
#stripmapStack.zerodop              = False
#stripmapStack.nofocus              = False
#stripmapStack.golsteinFilterStrength  = 0.5
#stripmapStack.boundingBox                 = 19 20 -156 -155
#stripmapStack.demDir                      = /scratch/projects/insarlab/bkv3/MaunaloaT10CskAsc/DEM/output.dem 

##################### MINTPY OPTIONS ###################
mintpy.compute.cluster            = local #[local / slurm / pbs / lsf / none], auto for none, cluster type
mintpy.compute.numWorker          = 6 #[int > 1 / all], auto for 4 (local) or 40 (non-local), num of workers
mintpy.load.autoPath              = yes
mintpy.subset.lalo                = 19.43:19.51,-155.65:-155.54    #[S:N,W:E / no], auto for no
#mintpy.reference.lalo             = 19.5310, -155.4812
#mintpy.reference.lalo             = 19.52,-155.51
mintpy.troposphericDelay.method   = height_correlation    # pyaps  #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.geocode.laloStep           = auto  #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.save.hdfEos5               = yes   #[yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format


miaplpy.load.processor      = isce  
miaplpy.load.autoPath       = yes
miaplpy.multiprocessing.numProcessor = 40