geodesymiami / insarmaps

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Some swaths are not visible until you zoom in #99

Open stackTom opened 1 month ago

stackTom commented 1 month ago

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

disilvestro commented 1 month ago

It happens with Soche

falkamelung commented 1 month ago

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 commented 1 month ago

###################################################### 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_tropcor / 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 commented 1 month ago

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

stackTom commented 4 weeks ago

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