diff --git a/docs/dir_structure.md b/docs/dir_structure.md
index 82726e8de..0ef30fc06 100644
--- a/docs/dir_structure.md
+++ b/docs/dir_structure.md
@@ -388,6 +388,10 @@ mintpy.load.waterMaskFile    = $DATA_DIR/SanFranSenDT42/mask/watermask.msk
 
 Here is an example workflow: [smallbaselineApp_hyp3](https://nbviewer.jupyter.org/github/insarlab/MintPy-tutorial/blob/main/smallbaselineApp_hyp3.ipynb).
 
+HyP3 produces two types of InSAR products: 1) scene-wide products using Gamma and 2) burst-wide products using ISCE2.
+
++ INSAR_GAMMA directory structure:
+
 ```
 $DATA_DIR/RidgecrestSenDT71
 ├── hyp3
@@ -410,6 +414,30 @@ $DATA_DIR/RidgecrestSenDT71
     └── RidgecrestSenDT71.txt
 ```
 
++ INSAR_ISCE2_BURST directory structure:
+
+```
+$DATA_DIR/MtEdgecumbeSenAT174
+├── hyp3
+│   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_dem_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_corr_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_lv_theta_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_lv_phi_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_unw_phase_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044_water_mask_clipped.tif
+│   │   ├── S1_372326_IW3_20141017_20141110_VV_INT80_7044.txt
+│   │   └── ...
+│   ├── S1_372326_IW3_20141110_20141204_VV_INT80_1894
+│   │   ├── S1_372326_IW3_20141110_20141204_VV_INT80_1894_corr_clipped.tif
+│   │   ├── S1_372326_IW3_20141110_20141204_VV_INT80_1894_unw_phase_clipped.tif
+│   │   ├── S1_372326_IW3_20141110_20141204_VV_INT80_1894.txt
+│   │   └── ...
+│   └── ...
+└── mintpy
+    └── MtEdgecumbeSenAT174.txt
+```
+
 The corresponding template options for `load_data`:
 
 ```cfg
diff --git a/src/mintpy/prep_hyp3.py b/src/mintpy/prep_hyp3.py
index d9282a3a5..2817d1b1b 100644
--- a/src/mintpy/prep_hyp3.py
+++ b/src/mintpy/prep_hyp3.py
@@ -26,19 +26,29 @@ def add_hyp3_metadata(fname, meta, is_ifg=True):
         Metadata dictionary (meta)
     '''
 
-    # determine interferogram pair info and hyp3 metadata file name
-    sat, date1_str, date2_str, pol, res, soft, proc, ids, *_ = os.path.basename(fname).split('_')
-    job_id = '_'.join([sat, date1_str, date2_str, pol, res, soft, proc, ids])
-    directory = os.path.dirname(fname)
-    meta_file = f'{os.path.join(directory,job_id)}.txt'
-
-    # open and read hyp3 metadata
+    # read hyp3 metadata file
+    # e.g.: burst-wide product using ISCE2: {SAT}_{FRAME}_{SUBSWATH}_{DATE1}_{DATE2}_{POL}_{RES}_{IDS}.txt
+    #       scene-wide product using Gamma: {SAT}_{DATE1}_{DATE2}_{POL}_{RES}_{SOFT}_{PROC}_{IDS}.txt
+    job_id = '_'.join(os.path.basename(fname).split('_')[:8])
+    meta_file = os.path.join(os.path.dirname(fname), f'{job_id}.txt')
     hyp3_meta = {}
     with open(meta_file) as f:
         for line in f:
             key, value = line.strip().replace(' ','').split(':')[:2]
             hyp3_meta[key] = value
 
+    # get date1/2 objects
+    if job_id.split('_')[2].startswith('IW'):
+        # burst-wide product using ISCE2
+        date1_str, date2_str = job_id.split('_')[3:5]
+        date1 = dt.datetime.strptime(f'{date1_str}','%Y%m%d')
+        date2 = dt.datetime.strptime(f'{date2_str}','%Y%m%d')
+    else:
+        # scene-wide product using Gamma
+        date1_str, date2_str = job_id.split('_')[1:3]
+        date1 = dt.datetime.strptime(date1_str,'%Y%m%dT%H%M%S')
+        date2 = dt.datetime.strptime(date2_str,'%Y%m%dT%H%M%S')
+
     # add universal hyp3 metadata
     meta['PROCESSOR'] = 'hyp3'
     meta['CENTER_LINE_UTC'] = hyp3_meta['UTCtime']
@@ -96,11 +106,6 @@ def add_hyp3_metadata(fname, meta, is_ifg=True):
 
     # add metadata that is only relevant to interferogram files
     if is_ifg:
-        date1 = dt.datetime.strptime(date1_str,'%Y%m%dT%H%M%S')
-        date2 = dt.datetime.strptime(date2_str,'%Y%m%dT%H%M%S')
-        #date_avg = date1 + (date2 - date1) / 2
-        #date_avg_seconds = (date_avg - date_avg.replace(hour=0, minute=0, second=0, microsecond=0)).total_seconds()
-        #meta['CENTER_LINE_UTC'] = date_avg_seconds
         meta['DATE12'] = f'{date1.strftime("%y%m%d")}-{date2.strftime("%y%m%d")}'
         meta['P_BASELINE_TOP_HDR'] = hyp3_meta['Baseline']
         meta['P_BASELINE_BOTTOM_HDR'] = hyp3_meta['Baseline']