Miami Surf Club Hotel -- Sara versus Falk

[falkamelung]

Hi @mirzaees , I have difficulty to reproduce your Miami results. Any Idea?

The pixel that Sara and Falk are getting are nearly identical (the differences in velocities could be a consequence of a different reference point??), however the geolocations are different. What could be the reason? Am I doing the geolocation correction right?

Falk: (*template file below)
http://129.213.120.104/start/25.8789/-80.1189/16.5978?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_PS&minScale=-0.6&maxScale=0.6

Sara's paper:
http://129.213.120.104/start/25.8789/-80.1189/16.5978?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SM_PS&minScale=-0.6&maxScale=0.6

Falk	Sara

Sara's pixel look like in the paper. So insarmaps seems to work fine. But the pixel locations are off.

I ran the geolocation correction using

cd miaplpy/network_single_reference
correct_geolocation.py --geometry inputs/geometryRadar.h5 --demErr demErr.h5
Geolocation is already done, you may reverse it using --reverse. skip ...

And then created the S1 file using:

save_hdfeos5.py timeseries_demErr.h5 --tc temporalCoherence.h5 --asc avgSpatialCoh.h5 -m  ../maskPS.h5 -g inputs/geometryRadar.h5 -t smallbaselineApp.cfg --suffix PS $update

[falkamelung]

I reversed the geolocation correction to see how it looks before applying the correction

correct_geolocation.py --geometry inputs/geometryRadar.h5 --demErr demErr.h5 --reverse
save_hdfeos5.py timeseries_demErr.h5 --tc temporalCoherence.h5 --asc avgSpatialCoh.h5 -m  ../maskPS.h5 -g inputs/geometryRadar.h5 -t smallbaselineApp.cfg --suffix nocorrected_PS


h5file=S1_IW3_048_0081_0082_20150921_20211112_nocorrected_PS.he5
rm -rf JSON ; hdfeos5_2json_mbtiles.py $h5file ./JSON --num-workers 8
json_mbtiles2insarmaps.py -u insaradmin -p Insar123 --host insarmaps.miami.edu -P rsmastest -U rsmas\@gmail.com --json_folder JSON --mbtiles_file  JSON/${h5file%.*}.mbtiles --num-workers 8

http://129.213.120.104/start/25.8789/-80.1189/16.5978?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_nocorrected_PS&minScale=-0.6&maxScale=0.6

[falkamelung]

Rerun using Sara's parameters (except unwrap error correction)
https://insarmaps.miami.edu/start/25.8774/-80.1212/17.3884?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_N25828_N25919_W080181_W080102_notcorrectedPS&minScale=-0.6&maxScale=0.6

https://insarmaps.miami.edu/start/25.8774/-80.1212/17.3884?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_N25828_N25919_W080181_W080102_PS&minScale=-0.6&maxScale=0.6

noGeolocationCorrectedCorrected	Corrected

[falkamelung]

Using a sequential network with 3 connection we get the same results.

http://129.213.120.104/start/25.8776/-80.1210/17.7704?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SM_PS&minScale=-1&maxScale=1

https://insarmaps.miami.edu/start/25.8776/-80.1210/17.7704?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_N25828_N25919_W080181_W080102_SEQ3PS&minScale=-1&maxScale=1

Sara	Falk Sequential 3

[falkamelung]

http://129.213.120.104/start/25.8780/-80.1210/17.8250?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SM_PS&minScale=-0.6&maxScale=0.6

https://insarmaps.miami.edu/start/25.8780/-80.1210/17.6736?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_Seq3PS&pointLat=25.87827&pointLon=-80.12133&minScale=-1.0&maxScale=1.0

https://insarmaps.miami.edu/start/25.8780/-80.1210/17.6749?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_PS&pointLat=25.87826&pointLon=-80.12123&minScale=-1&maxScale=1

http://129.213.120.104/start/25.8781/-80.1209/17.7041?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SM_PS&minScale=-1&maxScale=1

Sara	Falk Sequential 3	Falk Single Reference

|
|Falk Sequential 3 Oct|||
||||

[falkamelung]

2016_2022 11
https://insarmaps.miami.edu/start/25.8777/-80.1209/17.2316?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20221119_N25838_N25909_W080147_W080117_Seq3PS&minScale=-1&maxScale=1
https://insarmaps.miami.edu/start/25.8777/-80.1209/17.2316?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20221119_N25838_N25909_W080147_W080117_PS&minScale=-1&maxScale=1

Falk Sequential 3	Falk single reference

2016_2021 11
https://insarmaps.miami.edu/start/25.8777/-80.1209/17.2316?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_Seq3PS&minScale=-1&maxScale=1
https://insarmaps.miami.edu/start/25.8777/-80.1209/17.2316?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_PS&minScale=-1&maxScale=1

Falk Sequential 3	Falk single reference

[falkamelung]

S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_Seq3PS
S1_IW3_048_0081_0082_20160412_20221119_N25838_N25909_W080147_W080117_Seq3PS

Try
https://insarmaps.miami.edu/start/25.8779/-80.1221/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20211112_N25838_N25909_W080147_W080117_Seq3PS&minScale=-1&maxScale=1&pointLat=25.87848&pointLon=-80.12091&startDate=20160412&endDate=20211112

https://insarmaps.miami.edu/start/25.8779/-80.1221/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20160412_20221119_N25838_N25909_W080147_W080117_Seq3PS&minScale=-1&maxScale=1

[falkamelung]

https://insarmaps.miami.edu/start/25.8786/-80.1206/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SaraPS&minScale=-0.6&maxScale=0.6
https://insarmaps.miami.edu/start/25.8786/-80.1206/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_noExcludeDatesPS&minScale=-0.6&maxScale=0.6
https://insarmaps.miami.edu/start/25.8786/-80.1206/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_noERA5PS&minScale=-0.6&maxScale=0.6

Sara's paper	noExcludeDates	noERA5

Why does excluding two dates has such a string effect ? (`mintpy.topographicResidual.excludeDate = 20161015,20191006')
They don't seem to be particularly noisy
https://insarmaps.miami.edu/start/25.8786/-80.1206/17.2452?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SimplePS&minScale=-0.6&maxScale=0.6

Copy:

Sara's paper	noExcludeDates

[falkamelung]

### Comparison Sara submitted versus example on GitHub
Oceana: (local reference)

http://129.213.120.104/start/25.8957/-80.1218/17.4567?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SM_PS&pointLat=25.89489&pointLon=-80.12309&refPointLat=25.89641&refPointLon=-80.12297&minScale=-0.6&maxScale=0.6&startDate=20150921&endDate=20211112
http://129.213.120.104/start/25.8957/-80.1218/17.4567?flyToDatasetCenter=false&startDataset=S1_IW3_048_0081_0082_20150921_20211112_SaraPS&pointLat=25.89489&pointLon=-80.12309&refPointLat=25.89641&refPointLon=-80.12297&minScale=-0.6&maxScale=0.6&startDate=20150921&endDate=20211112

Submitted (SM_PS)	Github example

St Regis: (local reference)

Fendi (local reference)