GalapagosSenAT106
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
avgPhaseVelocity.png
coherence.png
common_region_sample.png
connectComponent.png
geo_timeseries_demErr_wrap10.png
pbaseHistory.png
timeseries_demErr_wrap10.png
timeseries_wrap10.png
unwrapPhase.png
unwrapPhase_phaseClosure.png
unwrapPhase_wrap.png
reference_date.txt
20230827
geo_velocity.kmz
Download file.
GalapagosSenAT106.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 = 106
ssaraopt.startDate = 20180901
ssaraopt.startDate = 20230101
hazard_products_flag = False
insarmaps_flag = True
######################################################
topsStack.boundingBox = -1 -0.6 -91.4 -90.86 # -1 0.15 -91.6 -90.9
topsStack.boundingBox = -1 0.15 -93.0 -89.00 # -1 0.15 -91.6 -90.9
topsStack.subswath = 2 3 # '1 2'
topsStack.numConnections = 4 # comment
topsStack.azimuthLooks = 5 # comment
topsStack.rangeLooks = 20 # comment
topsStack.filtStrength = 0.2 # comment
topsStack.unwMethod = snaphu # comment
topsStack.coregistration = auto # [NESD geometry], auto for NESD
######################################################
mintpy.load.autoPath = yes
mintpy.subset.lalo = -1.03:0.15,-91.65:-90.9
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.unwrapError.method = bridging+phase_closure #[bridging / phase_closure / bridging+phase_closure / no], auto for no
mintpy.unwrapError.method = auto #[bridging / phase_closure / bridging+phase_closure / no], auto for no
mintpy.unwrapError.method = bridging #[bridging / phase_closure / bridging+phase_closure / no], auto for no
mintpy.unwrapError.method = phase_closure #[bridging / phase_closure / bridging+phase_closure / no], auto for no
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.reference.lalo = -0.7,-90.95 # S of SN
mintpy.geocode.laloStep = 0.0008,0.0008 #[-0.000555556,0.000555556 / None], auto for None
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
mintpy.network.startDate = auto #[20090101 / no], auto for no