SARVey run with Masjed Dam test data

[falkamelung]

This workflow creates and runs the Sarvey testate of the Masjed Dam in Iran.

minsarApp.bash $SAMPLESDIR/MasjedSenD35.template --no-mintpy

cds
cd MasjedSenD35/miaplpy_201501_201808/
sarvey -f config.json 0 0 -g
sarvey -f config.json 0 4
sarvey2insarmaps.py outputs/p2_coh80_ts.h5

Use the URL in insarmaps.log to look at results. You should see this:

Template file
cat MasjedSenD35.template

ssaraopt.platform                   = SENTINEL-1A,SENTINEL-1B
ssaraopt.startDate                  = 20150105
ssaraopt.endDate                    = 20180904
ssaraopt.relativeOrbit              = 35
####################
topsStack.subswath                  = 2                                               # '1 2'
topsStack.subswath                  = 1 2 3                                               # '1 2'
topsStack.numConnections            = 3                                                 # comment
topsStack.azimuthLooks              = 3                                                 # comment
topsStack.rangeLooks                = 12                                                # comment
topsStack.filtStrength              = 0.4                                               # comment
topsStack.unwMethod                 = snaphu                                            # comment
topsStack.coregistration            = auto                                              # [NESD geometry], auto for NESD
####################
mintpy.load.autoPath               = yes
mintpy.troposphericDelay.method     = no                                #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.networkInversion.parallel    = no                                                #[yes / no], auto for no, parallel processing
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          = yes                                                # [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
mintpy.compute.cluster              = local
mintpy.compute.numWorker            = 32
mintpy.networkInversion.minTempCoh  = auto

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

minsar.miaplpyDir.addition           = date          #[name / lalo / no ]  auto for no (miaply_$name_startDate_endDate))
mintpy.subset.lalo                   = 32.023:32.032,49.392:49.405    #[S:N,W:E / no], auto for no
miaplpy.subset.lalo                  = 32.023:32.032,49.392:49.405    #[S:N,W:E / no], auto for no

mintpy.geocode.laloStep              = 0.0002,0.0002   #  auto  # 0.0008  #[-0.000555556,0.000555556 / None], auto for None, output resolution in degree
mintpy.reference.minCoherence        = 0.7   #[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       = average  # [full, average], auto for full.
miaplpy.timeseries.tempCohType       = full     # [full, average], auto for full.
miaplpy.timeseries.minTempCoh        = 0.75     # auto for 0.5
miaplpy.timeseries.minTempCoh        = 0.65     # auto for 0.5
mintpy.networkInversion.minTempCoh   = 0.65     # auto for 0.5
#############################################
minsar.insarmaps_flag                = False
minsar.insarmaps_dataset             = filt*DS