SsideSenAT48
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
coherence_1.png
coherence_2.png
coherence_3.png
unwrapPhase_wrap_1.png
unwrapPhase_wrap_2.png
unwrapPhase_wrap_3.png
unwrapPhase_1.png
unwrapPhase_2.png
unwrapPhase_3.png
connectComponent_1.png
connectComponent_2.png
connectComponent_3.png
timeseries_demErr_wrap10_1.png
timeseries_demErr_wrap10_2.png
geo_timeseries_demErr_wrap10_1.png
geo_timeseries_demErr_wrap10_2.png
avgPhaseVelocity.png
pbaseHistory.png
timeseries_wrap10_1.png
timeseries_wrap10_2.png
reference_date.txt
20221225
geo_velocity.kmz
Download file.
SsideSenAT48.template
#######################################################
#
minsar.processor = isce
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 = 48
ssaraopt.startDate = 20160401
ssaraopt.endDate = 20231101
insarmaps_flag = False
image_products_flag = False
#
#######################################################
#
topsStack.boundingBox = 25.83 26.02 -80.17 -80.08 # -1 0.15 -91.9 -90.6
#topsStack.boundingBox = -0.81 -0.80 -90.9 -90.86 # -1 0.15 -91.9 -90.6
topsStack.subswath = 3 # '1 2'
topsStack.numConnections = 2 # comment
topsStack.azimuthLooks = 2 # comment
topsStack.rangeLooks = 8 # comment
topsStack.filtStrength = 0.3 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = geometry # [NESD geometry], auto for NESD
#
########################################################
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.8623:25.9722,-80.114:-80.102 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = no #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#######################################################
#
mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
miaplpy.subset.lalo = 25.8708:25.9576,-80.1258-80.1180 #[S:N,W:E / no], auto for no
miaplpy.load.startDate = 20160401
miaplpy.load.endDate = 20231101
mintpy.reference.minCoherence = 0.7
minsar.miaplpyDir.addition = bldgs #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#Oceana
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.8945:25.8958,-80.124:-80.122 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = Oceana #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#Surfclub
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.87772:25.8786,-80.122:-80.1208 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = Surfclub #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#87Park
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.8718:25.8725,-80.1215:-80.1205 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = 87Park #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
#######################################################
#Armani
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.9513:25.9522,-80.1202:-80.1192 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = Armani #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
########################################################
#Porsche
#
#mintpy.subset.lalo = 25.85:26.00,-80.15:-80.10 #[S:N,W:E / no], auto for no
#miaplpy.subset.lalo = 25.9478:25.9487,-80.1205:-80.1195 #[S:N,W:E / no], auto for no
#miaplpy.load.startDate = 20160401
#miaplpy.load.endDate = 20231101
#mintpy.reference.minCoherence = 0.7
#minsar.miaplpyDir.addition = Porsche #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
#
########################################################
#
mintpy.compute.cluster = local #[local / slurm / pbs / lsf / none], auto for none, cluster type
mintpy.compute.numWorker = 20 #[int > 1 / all], auto for 4 (local) or 40 (non-local), num of workers
mintpy.reference.lalo = auto #25.73,-80.35 # S of SN
mintpy.networkInversion.parallel = yes #[yes / no], auto for no, parallel processing using dask
mintpy.troposphericDelay.method = no # pyaps #[pyaps / height_correlation / base_trop_cor / no], auto for pyaps
mintpy.save.hdfEos5 = yes #[yes / update / no], auto for no, save timeseries to UNAVCO InSAR Archive format
mintpy.save.hdfEos5.update = no #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.hdfEos5.subset = yes #[yes / no], auto for no, put XXXXXXXX as endDate in output filename
mintpy.save.kmz = yes #[yes / no], auto for yes, save geocoded velocity to Google Earth KMZ file
mintpy.load.autoPath = yes
#######################################################
#######################################################
miaplpy.load.processor = isce
miaplpy.load.autoPath = yes
miaplpy.multiprocessing.numProcessor = 40
miaplpy.interferograms.networkType = single_reference # [single_reference, sequential, combine, list] default: single_reference
minsar.miaplpyDir.addition = no #[name / lalo / no ] auto for no (miaply_$name_startDate_endDate))
minsar.insarmaps_dataset = DS
mintpy.networkInversion.minTempCoh = auto # auto for 0.5
miaplpy.timeseries.minTempCoh = auto # auto for 0.5
minsar.insarmaps_flag = False
minsar.upload_flag = True
minsar.insarmaps_dataset = DS