update HyP3 example dataset RidgecrestSenDT71 (#1182)

+ update the HyP3 example dataset, with the latest metadata generated by ASF HyP3 system at April 24, 2024.

+ docs/dir_structure: update hyp3 section

+ docs/demo_dataset: update hyp3 DOI info

+ tests/configs/RidgecrestSenDT71: 
    - use * for more generic file path support
    - turn OFF plotting temporarily to pass the circle CI testing.

---------

Co-authored-by: Zhang Yunjun <yunjunz@outlook.com>

docs/demo_dataset.md

@@ -66,11 +66,11 @@ Relevant literature:
 ### Sentinel-1 of the 2019 Ridgecrest, California earthquake sequence with HyP3 ###
 
 Area: Owens Valley, California, USA ([USGS event page](https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/executive))
-Data: Sentinel-1 descending track 71 during June - August 2019 (7 acquisitions; [Zenodo](https://zenodo.org/record/5502403))
-Size: ~480 MB
+Data: Sentinel-1 descending track 71 during June - August 2019 (7 acquisitions; [Zenodo](https://zenodo.org/record/11049257))
+Size: ~240 MB
 
 ```bash
-wget https://zenodo.org/record/5502403/files/RidgecrestSenDT71.tar.xz
+wget https://zenodo.org/record/11049257/files/RidgecrestSenDT71.tar.xz
 tar -xvJf RidgecrestSenDT71.tar.xz
 cd RidgecrestSenDT71
 smallbaselineApp.py ${MINTPY_HOME}/docs/templates/RidgecrestSenDT71.txt

docs/dir_structure.md

@@ -384,9 +384,9 @@ mintpy.load.waterMaskFile    = $DATA_DIR/SanFranSenDT42/mask/watermask.msk
     + For at least one interferogram, download the accompanying DEM.
     + Unzip the downloaded files. E.g., `for f in *.zip; do unzip $f; done` in bash.
 
-2. Clip DEM and all interferograms to the same area using hyp3lib/[cutGeotiffs.py](https://github.com/ASFHyP3/hyp3-lib/blob/develop/hyp3lib/cutGeotiffs.py) script.
+2. Clip all image files (interferograms, coherence, DEM, etc.) to the same area.
 
-Here is an example workflow: [smallbaselineApp_hyp3](https://nbviewer.org/github/insarlab/MintPy-tutorial/blob/main/workflows/smallbaselineApp_hyp3.ipynb).
+An in-depth guide to performing these steps is available in this [Jupyter Notebook](https://github.com/ASFHyP3/hyp3-docs/blob/develop/docs/tutorials/hyp3_insar_stack_for_ts_analysis.ipynb).
 
 HyP3 produces two types of InSAR products: 1) scene-wide products using Gamma and 2) burst-wide products using ISCE2.
 
@@ -395,19 +395,19 @@ HyP3 produces two types of InSAR products: 1) scene-wide products using Gamma an
 ```
 $DATA_DIR/RidgecrestSenDT71
 ├── hyp3
-│   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_corr_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_dem_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_lv_theta_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_lv_phi_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_unw_phase_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43_water_mask_clip.tif
-│   │   ├── S1AA_20190622T135157_20190704T135158_VVP012_INT80_G_ueF_4C43.txt
+│   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_corr_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_dem_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_lv_theta_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_lv_phi_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_unw_phase_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE_water_mask_clip.tif
+│   │   ├── S1AA_20190610T015047_20190622T015048_VVP012_INT80_G_ueF_48FE.txt
 │   │   └── ...
-│   ├── S1AA_20190622T135157_20190716T135159_VVP024_INT80_G_ueF_BA28
-│   │   ├── S1AA_20190622T135157_20190716T135159_VVP024_INT80_G_ueF_BA28_corr_clip.tif
-│   │   ├── S1AA_20190622T135157_20190716T135159_VVP024_INT80_G_ueF_BA28_unw_phase_clip.tif
-│   │   ├── S1AA_20190622T135157_20190716T135159_VVP024_INT80_G_ueF_BA28.txt
+│   ├── S1AA_20190622T015048_20190704T015049_VVP012_INT80_G_ueF_44D1
+│   │   ├── S1AA_20190622T015048_20190704T015049_VVP012_INT80_G_ueF_44D1_corr_clip.tif
+│   │   ├── S1AA_20190622T015048_20190704T015049_VVP012_INT80_G_ueF_44D1_unw_phase_clip.tif
+│   │   ├── S1AA_20190622T015048_20190704T015049_VVP012_INT80_G_ueF_44D1.txt
 │   │   └── ...
 │   └── ...
 └── mintpy

tests/configs/RidgecrestSenDT71.txt

@@ -2,26 +2,27 @@
 mintpy.compute.cluster      = local
 mintpy.load.processor       = hyp3
 ##---------interferogram datasets:
-mintpy.load.unwFile         = ../hyp3/*/*unw_phase_clip.tif
-mintpy.load.corFile         = ../hyp3/*/*corr_clip.tif
+mintpy.load.unwFile         = ../hyp3/*/*unw_phase_clip*.tif
+mintpy.load.corFile         = ../hyp3/*/*corr_clip*.tif
 ##---------geometry datasets:
-mintpy.load.demFile         = ../hyp3/*/*dem_clip.tif
-mintpy.load.incAngleFile    = ../hyp3/*/*lv_theta_clip.tif
-mintpy.load.waterMaskFile   = ../hyp3/*/*water_mask_clip.tif
+mintpy.load.demFile         = ../hyp3/*/*dem_clip*.tif
+mintpy.load.incAngleFile    = ../hyp3/*/*lv_theta_clip*.tif
+mintpy.load.waterMaskFile   = ../hyp3/*/*water_mask_clip*.tif
 ##---------subset (optional):
 ## if both yx and lalo are specified, use lalo option unless a) no lookup file AND b) dataset is in radar coord
 mintpy.subset.yx            = auto    #[y0:y1,x0:x1 / no], auto for no
 mintpy.subset.lalo          = 391e4:400e4,39e4:51e4    #[S:N,W:E / no], auto for no
 
-mintpy.reference.lalo       = 391.5e4,45e4
-mintpy.networkInversion.weightFunc  = no
-mintpy.troposphericDelay.method     = pyaps
-mintpy.topographicResidual          = yes
+mintpy.reference.lalo                           = 391.5e4,45e4
+mintpy.networkInversion.weightFunc              = no
+mintpy.troposphericDelay.method                 = pyaps
+mintpy.topographicResidual                      = yes
 mintpy.topographicResidual.stepFuncDate         = 20190706T0320
 mintpy.topographicResidual.pixelwiseGeometry    = no
-mintpy.save.hdfEos5         = yes
-mintpy.save.hdfEos5.subset  = yes
-mintpy.plot.maxMemory       = 2
+mintpy.save.hdfEos5                             = yes
+mintpy.save.hdfEos5.subset                      = yes
+mintpy.plot                                     = no
+mintpy.plot.maxMemory                           = 2
 
 ##————————————————————————————— HDF-EOS5 Attributes -—————————————————————————##
 relative_orbit      = 71

tests/smallbaselineApp.py

@@ -25,7 +25,7 @@
     'https://zenodo.org/record/5498198/files/FernandinaSenDT128.tar.xz',   # 280 MB
     'https://zenodo.org/record/6662079/files/SanFranSenDT42.tar.xz',       # 280 MB
     'https://zenodo.org/record/3952950/files/WellsEnvD2T399.tar.xz',       # 280 MB
-    'https://zenodo.org/record/5502403/files/RidgecrestSenDT71.tar.xz',    # 480 MB
+    'https://zenodo.org/record/11049257/files/RidgecrestSenDT71.tar.xz',   # 240 MB
     'https://zenodo.org/record/6661536/files/WCapeSenAT29.tar.xz',         # 240 MB
     'https://zenodo.org/record/3952917/files/KujuAlosAT422F650.tar.xz',    # 230 MB
 ]