geodesymiami/results

Gujarat

falkamelung opened this issue · 1 comments

SenDT107

concatenate_chunks.py --chunks GujaratChunk2{0,1}SenDT107 --project qGujaratBigSenDT107 --datatype velocity --outdir mimtpy
concatenate_chunks.py --chunks GujaratChunk2{1,2,3,4,5,6}SenDT107 --project GujaratBigSenDT107 --datatype timeseries --outdir mimtpy

(Chunk20 starts in mar 2017 and we will loose half a year)

For download of chunks I use this bash function ( wgetjetstream GujaratChunk21SenDT107 )

alias.bash:function wgetjetstream() { wget -c -m -nH --cut-dirs=2 --no-parent --reject="index.html*" --no-check-certificate https://129.114.104.223/data/HDF5EOS/"$1"/mintpy ; }

SenDT34:

concatenate_chunks.py --chunks GujaratChunk2*SenDT34 --project GujaratBigSenDT34 --datatype velocity --outdir mimtpy

| SenDT107 -- SenDT34|
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concatenate_tracks.py GujaratBig*SenDT --datatype velocity
Velocity using different temporal coherence thresholds:

tempCoh<0.7 temCoh<0.8 tempCoh<0.85
image image image
4 connections, tempCoh<0.7 20 connections, tempCoh<0.0.2
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MintPy, 20 connections, tempCoh<0.0.2
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view.py geo_velocity.h5 velocity --vlim -3 3 --mask geo_temporalCoherence.h5 --mask-vmin 0.02 --dem ../../DEM/demLat*.dem

Compare to Salton Sea:
#8 (comment)

Rowena's Salton Sea paper;
https://www.sciencedirect.com/science/article/pii/S0034425720305332

For comparison: Chaman descending minTempCoherence=0.7
view.py mimtpy/velocity/velocity_151_78.h5 --vlim -2 2 --ref-lalo 25.27 68.11
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minTempCoherence=0.9`
view.py mimtpy/velocity/velocity_151_78.h5 --vlim -2 2 --ref-lalo 25.27 68.11
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