qqMerapiSenDT76
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_demErr_wrap10.png
pbaseHistory.png
timeseries_demErr_wrap10.png
timeseries_wrap10.png
unwrapPhase.png
unwrapPhase_wrap.png
reference_date.txt
20240127
geo_velocity.kmz
Download file.
qqMerapiSenDT76.template
ssaraopt.platform = SENTINEL-1A,SENTINEL-1B
ssaraopt.startDate = 20240101
ssaraopt.endDate = 20240228
ssaraopt.relativeOrbit = 76
###########################################
topsStack.subswath = 2 # '1 2'
topsStack.numConnections = 3 # comment
topsStack.azimuthLooks = 7 # comment
topsStack.rangeLooks = 19 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
###########################################
mintpy.load.autoPath = yes
mintpy.compute.cluster = local
mintpy.compute.numWorker = 32
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
###########################################
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
mintpy.geocode.laloStep = 0.0002,0.0002 # [-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.reference.minCoherence = 0.5 # [0.0-1.0], auto for 0.85, minimum coherence for auto method
###########################################
miaplpy.interferograms.networkType = delaunay # network
miaplpy.interferograms.delaunayTempThresh = 90 # [days] temporal threshold for delaunay triangles, auto for 60
minsar.miaplpyDir.addition = date # [name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
###########################################
############ Modify here : ################
miaplpy.load.startDate = auto # 20200101
miaplpy.load.endDate = auto
mintpy.subset.lalo = -7.6:-7.49,110.39:110.49 # [S:N,W:E / no], auto for no
miaplpy.subset.lalo = -7.6:-7.49,110.39:110.49 # [S:N,W:E / no], auto for no
mintpy.networkInversion.minTempCoh = 0.7 # [0.0-1.0], auto for 0.7, min temporal coherence for mask
mintpy.troposphericDelay.method = no # [pyaps / height_correlation / base_trop_cor / no], auto for pyaps
miaplpy.timeseries.tempCohType = full # [full, average], auto for full.
miaplpy.timeseries.minTempCoh = 0.75 # auto for 0.5
###########################################
minsar.insarmaps_flag = True
minsar.insarmaps_dataset = filt*DS
minsar.upload_option = --geo
###########################################