Merge branch 'main' of github.com:opera-adt/COMPASS into docker

seongsujeong · Dec 13, 2022 · eb1f38d · eb1f38d
2 parents fe59186 + f74e294
commit eb1f38d
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Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/src/compass/s1_geocode_slc.py b/src/compass/s1_geocode_slc.py
@@ -127,12 +127,12 @@ def run(cfg: GeoRunConfig):
             ctype = h5py.h5t.py_create(np.complex64)
             ctype.commit(geo_burst_h5['/'].id, np.string_('complex64'))
 
-            backscatter_group = geo_burst_h5.require_group('complex_backscatter')
+            backscatter_group = geo_burst_h5.require_group('SLC')
             init_geocoded_dataset(backscatter_group, pol, geo_grid,
                                   'complex64', f'{pol} geocoded SLC image')
 
             # access the HDF5 dataset for a given frequency and polarization
-            dataset_path = f'/complex_backscatter/{pol}'
+            dataset_path = f'/SLC/{pol}'
             gslc_dataset = geo_burst_h5[dataset_path]
 
             # Construct the output raster directly from HDF5 dataset

diff --git a/src/compass/utils/h5_helpers.py b/src/compass/utils/h5_helpers.py
@@ -405,7 +405,7 @@ def poly1d_to_h5(group, poly1d_name, poly1d):
                           str(burst.burst_id),
                           {'description': 'Unique burst identification string (ESA convention)'})
 
-    dataset_path_template = f'HDF5:%FILE_PATH%://complex_backscatter/{burst.polarization}'
+    dataset_path_template = f'HDF5:%FILE_PATH%://SLC/{burst.polarization}'
     geo_boundary = get_boundary_polygon(processing_group.file.filename, np.nan,
                                         dataset_path_template)
     center = geo_boundary.centroid

diff --git a/src/compass/utils/validate_cslc.py b/src/compass/utils/validate_cslc.py
@@ -45,7 +45,7 @@ def _gdal_nfo_retrieve(path_h5):
     slc: np.array
         Array holding geocoded complex backscatter
     """
-    raster_key = 'complex_backscatter'
+    raster_key = 'SLC'
 
     # Extract polarization with h5py
     with h5py.File(path_h5) as h: