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dem_error: change default from phase to phase velocity #875

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merged 3 commits into from
Oct 22, 2022
Merged

dem_error: change default from phase to phase velocity #875

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23f7953
bug fix for using phase velocity history
Oct 22, 2022
df107c0
change default of dem error to phase velocity history
Oct 22, 2022
efda39c
Update dem_error.py
yunjunz Oct 22, 2022
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2 changes: 1 addition & 1 deletion mintpy/defaults/smallbaselineApp.cfg
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Expand Up @@ -257,7 +257,7 @@ mintpy.deramp.maskFile = auto #[filename / no], auto for maskTempCoh.h5, mask f
## no - use the mean geometry [fast]
mintpy.topographicResidual = auto #[yes / no], auto for yes
mintpy.topographicResidual.polyOrder = auto #[1-inf], auto for 2, poly order of temporal deformation model
mintpy.topographicResidual.phaseVelocity = auto #[yes / no], auto for no - phase, use phase velocity for minimization
mintpy.topographicResidual.phaseVelocity = auto #[yes / no], auto for yes - use phase velocity for minimization
mintpy.topographicResidual.stepFuncDate = auto #[20080529,20190704T1733 / no], auto for no, date of step jump
mintpy.topographicResidual.excludeDate = auto #[20070321 / txtFile / no], auto for exclude_date.txt
mintpy.topographicResidual.pixelwiseGeometry = auto #[yes / no], auto for yes, use pixel-wise geometry info
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2 changes: 1 addition & 1 deletion mintpy/defaults/smallbaselineApp_auto.cfg
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Expand Up @@ -108,7 +108,7 @@ mintpy.deramp.maskFile = maskTempCoh.h5
########## correct_topography
mintpy.topographicResidual = yes
mintpy.topographicResidual.polyOrder = 2
mintpy.topographicResidual.phaseVelocity = no
mintpy.topographicResidual.phaseVelocity = yes
mintpy.topographicResidual.stepFuncDate = no
mintpy.topographicResidual.excludeDate = exclude_date.txt
mintpy.topographicResidual.pixelwiseGeometry = yes
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6 changes: 3 additions & 3 deletions mintpy/dem_error.py
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Expand Up @@ -239,9 +239,9 @@ def estimate_dem_error(ts0, G0, tbase, date_flag=None, phase_velocity=False):
G = G0[date_flag, :]
ts = ts0[date_flag, :]
if phase_velocity:
tbase = tbase[date_flag, :]
G = np.diff(G, axis=0) / np.diff(tbase, axis=0)
ts = np.diff(ts, axis=0) / np.diff(tbase, axis=0)
tbase = tbase[date_flag]
G = np.diff(G, axis=0) / np.repeat(np.diff(tbase, axis=0).reshape(-1,1), G.shape[1], axis=1)
ts = np.diff(ts, axis=0) / np.repeat(np.diff(tbase, axis=0).reshape(-1,1), ts.shape[1], axis=1)

# Inverse using L-2 norm to get unknown parameters X
# X = [delta_z, constC, vel, acc, deltaAcc, ..., step1, step2, ...]
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