geodesymiami / rsmas_insar

RSMAS InSAR code
https://rsmas-insar.readthedocs.io/
GNU General Public License v3.0
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Issue on Fukue Descending 61 #554

Closed disilvestro closed 1 week ago

disilvestro commented 2 weeks ago

Error:

#########################
Traceback (most recent call last):
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/miniforge3/bin/smallbaselineApp.py", line 8, in <module>
    sys.exit(main())
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/cli/smallbaselineApp.py", line 209, in main
    run_smallbaselineApp(inps)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/smallbaselineApp.py", line 1155, in run_smallbaselineApp
    app.run(steps=inps.runSteps)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/smallbaselineApp.py", line 911, in run
    self.run_network_modification(sname)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/smallbaselineApp.py", line 258, in run_network_modification
    mintpy.cli.plot_network.main(iargs)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/cli/plot_network.py", line 170, in main
    plot_network(inps)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/plot_network.py", line 148, in plot_network
    inps = read_network_info(inps)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/plot_network.py", line 36, in read_network_info
    inps.cohList = ut.spatial_average(
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/utils/utils1.py", line 332, in spatial_average
    meanList, dateList = read_text_file(txtFile)
  File "/work2/09580/gdisilvestro/stampede2/code1/rsmas_insar/tools/MintPy/src/mintpy/utils/utils1.py", line 199, in read_text_file
    meanList = [float(i) for i in txtContent[:, 1]]
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

On 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            = 61

ssaraopt.startDate                = 20190101

#ssaraopt.endDate                  = 20211130

hazard_products_flag              = False

insarmaps_flag                     = True

######################################################

#topsStack.boundingBox             = 32.65 32.67 131.31 126.39    # -1 0.15 -91.6 -90.9

topsStack.subswath                = 2 # '1 2'

topsStack.numConnections          = 4    # comment

topsStack.azimuthLooks            = 3    # comment

topsStack.rangeLooks              = 15   # 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                  = 32.65:32.67,128.83:128.87

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             = 32.65,128.83     # S of SN

mintpy.networkInversion.parallel  = yes  #[yes / no], auto for no, parallel processing using dask

mintpy.network.tempBaseMax     = auto  #[1-inf, no], auto for no, max temporal baseline in days

mintpy.network.perpBaseMax     = auto  #[1-inf, no], auto for no, max perpendicular spatial baseline in meter

mintpy.network.connNumMax      = auto  #[1-inf, no], auto for no, max number of neighbors for each acquisition

mintpy.network.coherenceBased  = auto  #[yes / no], auto for no, exclude interferograms with coherence < minCoherence

mintpy.network.aoiLALO         = auto  #[S:N,W:E / no], auto for no - use the whole area

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                  = 32.65:32.67,128.83:128.87    #[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.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         = 0.50     # 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)
falkamelung commented 1 week ago

not relevant