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Some swaths are not visible until you zoom in #99

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stackTom opened this issue Sep 29, 2024 · 5 comments
Open

Some swaths are not visible until you zoom in #99

stackTom opened this issue Sep 29, 2024 · 5 comments

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@stackTom
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@disilvestro we will need to ingest more data to reproduce this.

@disilvestro
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It happens with Soche

@falkamelung
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Please post the *template file as well, or the link to the data on jetstream. You need to have set

mintpy.save.hdfEos5.subset       = yes   #[yes / no], auto for no, put XXXXXXXX as endDate in output filename

@disilvestro
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######################################################
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 = 142
ssaraopt.startDate = 20150101
#ssaraopt.endDate = 20211130
hazard_products_flag = False
insarmaps_flag = True
######################################################
topsStack.boundingBox = 0.51 0.58 -80.08 -75.08 # -1 0.15 -91.6 -90.9
topsStack.subswath = 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 = 0.51:0.58,-77.62:-77.54
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 = 0.51,-77.62 # 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 = 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                  = 0.51:0.58,-77.62:-77.54    #[S:N,W:E / no], auto for no
miaplpy.load.startDate               = auto #  20200101
miaplpy.load.endDate                 = auto
mintpy.geocode.laloStep              = 0.0002,0.0002
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.delaunayBaselineRatio = 4
miaplpy.interferograms.delaunayTempThresh = 120 # [days] temporal threshold for delaunay triangles, auto for 120
miaplpy.interferograms.delaunayPerpThresh = 200 # [meters] Perp baseline threshold for delaunay triangles, auto for 200
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
mintpy.networkInversion.minTempCoh         = 0.5
#############################################
minsar.upload_flag = True # [True / False ], upload to jetstream (Default: False)
minsar.insarmaps_flag = False # [True / False ], ingest into insarmaps (Default: False)
minsar.insarmaps_dataset = DS # [PS,DS,PSDS,geo,all], miaplpy dataset to ingest (Default: geo) (MintPy is always geo)

@disilvestro
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I didn't set it to other templates too but i have problems only with this one (ASC and DESC)

@stackTom
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stackTom commented Oct 8, 2024

Do you think this is an issue with the processing/ingest scripts or with the site @falkamelung?

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