WaterMAsk is masking out the land part

[Astha-Moolchandani]

Hi
when i am running Mintpy for SBAS PRocessing i am providing the watermask.rdr file, created using wbd.py, has the whole land part masked out in the results. Can you please help me? Why is it so?

Here is my cfg file

vim: set filetype=cfg:

##------------------------------- ISCE/topsStack ----------------------##
mintpy.compute.maxMemory = 20 #[float > 0.0], auto for 4, max memory to allocate in GB
#ssaraopt = --platform=SENTINEL-1A,SENTINEL-1B -r 128 -f 589,590,591,592,593 -e 2017-07-01
#sentinelStack.boundingBox = '32.9 33.05 73.55 73.85'
#sentinelStack.subswath = # comment
#sentinelStack.numConnections = 4 # comment
#sentinelStack.azimuthLooks = 5 # comment
#sentinelStack.rangeLooks = 15 # comment
#sentinelStack.filtStrength = 0.4 # comment
#sentinelStack.unwMethod = snaphu # comment
#sentinelStack.coregistration = auto # comment
##subset.y0:y1,x0:x1 = 1150:1600,1070:1670

##-------------------------------- MintPy -----------------------------##
########## 1. Load Data (--load to exit after this step)

load_data.py -H to check more details and example inputs.

mintpy.load.processor = isce
##---------for ISCE only:
mintpy.load.metaFile = /media/user/reference/IW*.xml
mintpy.load.baselineDir = /media/user/baselines
##---------interferogram datasets:
mintpy.load.unwFile = /media/user/merged/interferograms//filt_.unw
mintpy.load.corFile = /media/user/merged/interferograms//filt_.cor
mintpy.load.connCompFile = /media/user/merged/interferograms//filt_.unw.conncomp
##---------geometry datasets:
mintpy.load.demFile = /media/user/merged/geom_reference/hgt.rdr
mintpy.load.lookupYFile = /media/user/merged/geom_reference/lat.rdr
mintpy.load.lookupXFile = /media/user/merged/geom_reference/lon.rdr
mintpy.load.incAngleFile = /media/user/merged/geom_reference/los.rdr
mintpy.load.azAngleFile = /media/user/merged/geom_reference/los.rdr
mintpy.load.shadowMaskFile = /media/user/merged/geom_reference/shadowMask.rdr
mintpy.load.waterMaskFile = /media/userwatermask/watermask.rdr

mintpy.reference.lalo = auto #33.2146,73.4772
#mintpy.reference.yx = 680,2371

#mintpy.topographicResidual.stepFuncDate = 20170910,20180613 #eruption dates
mintpy.deramp = linear
mintpy.troposphericDelay.method = no #[pyaps / height_correlation / gacos / no], auto for pyaps

Notes for gacos:

Set the path below to directory that contains the downloaded .ztd files

#mintpy.troposphericDelay.gacosDir = auto # [path2directory], auto for "./GACOS"
mintpy.unwrapError.method = no #[bridging / phase_closure / bridging+phase_closure / no], auto for no

mintpy.network.coherenceBased = yes
mintpy.network.minCoherence = 0.6
####.4 is best but sometimes we do not get good results based on this..
mintpy.reference.date = 20160927
mintpy.network.excludeDate = auto #[20080520,20090817 / no], auto for no
mintpy.networkInversion.maskDataset = coherence #[coherence / connectComponent / offsetSNR / no], auto for no
mintpy.networkInversion.maskThreshold = 0.1 #[0-inf], auto for 0.4

Attached below is the velocity result

[Arctic-Ambrun]

Hello, it seems to be an issue with the water mask. You can read the water mask file and assign 0 to 1, and 1 to 0.