CerroNegroSenDT55
geo_velocity.png
geo_temporalCoherence.png
geo_maskTempCoh.png
geo_avgSpatialCoh.png
network.png
coherenceHistory.png
coherenceMatrix.png
rms_timeseriesResidual_ramp.png
temporalCoherence.png
maskTempCoh.png
avgSpatialCoh.png
maskConnComp.png
numTriNonzeroIntAmbiguity.png
numInvIfgram.png
velocity.png
geometryRadar.png
coherence_1.png
coherence_2.png
coherence_3.png
unwrapPhase_wrap_1.png
unwrapPhase_wrap_2.png
unwrapPhase_wrap_3.png
unwrapPhase_1.png
unwrapPhase_2.png
unwrapPhase_3.png
connectComponent_1.png
connectComponent_2.png
connectComponent_3.png
avgPhaseVelocity.png
geo_timeseries_ERA5_demErr_wrap10.png
pbaseHistory.png
timeseries_ERA5_demErr_wrap10.png
timeseries_ERA5_wrap10.png
timeseries_wrap10.png
velocityERA5.png
reference_date.txt
20230320
CerroNegroSenDT55.template
######################################################
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 = 55
ssaraopt.startDate = 20200101
hazard_products_flag = False
insarmaps_flag = True
######################################################
topsStack.boundingBox = 12.47 12.54 -86.74 -86.67 # -1 0.15 -91.6 -90.9
topsStack.excludeDates = 20210306,20210318,20210330,20210411,20210902,20210914,20210926,20211101,20211125,20211207
topsStack.subswath = 1 2 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 6 # comment
topsStack.rangeLooks = 24 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
#topsStack.referenceDate = 20151220
######################################################
mintpy.load.autoPath = yes
mintpy.subset.lalo = 12.47:12.54,-86.74:-86.67
mintpy.compute.cluster = local #[local / slurm / pbs / lsf / none], auto for none, cluster type
mintpy.compute.numWorker = 30 #[int > 1 / all], auto for 4 (local) or 40 (non-local), num of workers
#mintpy.reference.lalo = 12.47,-86.74 # S of SN
mintpy.networkInversion.parallel = yes #[yes / no], auto for no, parallel processing using dask
mintpy.troposphericDelay.method = auto # pyaps #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.geocode.laloStep = 0.0008,0.0008 #[-0.000555556,0.000555556 / None], auto for None
mintpy.save.hdfEos5 = yes #[yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.update = yes #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.hdfEos5.subset = auto #[yes / no], auto for no, put subset range info in output filename
mintpy.save.kmz = yes #[yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
####################
minsar.miaplpyDir.addition = date #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
miaplpy.subset.lalo = 12.47:12.54,-86.74:-86.67 #[S:N,W:E / no], auto for no
miaplpy.load.startDate = auto # 20200101
miaplpy.load.endDate = auto
mintpy.geocode.laloStep = 0.0005,0.0005
mintpy.reference.minCoherence = 0.5 #[0.0-1.0], auto for 0.85, minimum coherence for auto method
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 = full # [full, average], auto for full.
miaplpy.timeseries.minTempCoh = 0.70 # auto for 0.5
#############################################
insarmaps_flag = False
minsar.upload_flag = False # [True / False ], upload to jetstream (Default: False)
minsar.insarmaps_flag = False # [True / False ], ingest into insarmaps (Default: False)
minsar.insarmaps_dataset = geo # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)