set resampling to default bilinear

opendatacube · Nov 28, 2023 · 989b64c · 989b64c
1 parent 1546899
commit 989b64c
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Showing 2 changed files with 1 addition and 4 deletions.
diff --git a/odc/stats/plugins/gm.py b/odc/stats/plugins/gm.py
@@ -29,7 +29,6 @@ def __init__(
         ] = None,
         basis_band=None,
         aux_names: Dict[str, str] = None,
-        resampling: str = "nearest",
         work_chunks: Tuple[int, int] = (400, 400),
         **kwargs,
     ):
@@ -44,7 +43,6 @@ def __init__(
         if nodata_classes is not None:
             nodata_classes = tuple(nodata_classes)
         self._nodata_classes = nodata_classes
-        self.resampling = resampling
         input_bands = self.bands
         if self._nodata_classes is not None:
             # NOTE: this ends up loading Mask band twice, once to compute
@@ -54,7 +52,6 @@ def __init__(
         super().__init__(
             input_bands=input_bands,
             basis=basis_band or self.bands[0],
-            resampling=self.resampling,
             **kwargs,
         )
 

diff --git a/tests/test_gm_ls.py b/tests/test_gm_ls.py
@@ -177,7 +177,7 @@ def test_resampling(dataset):
 
     dataset = dataset.copy()
     stats_gmls = StatsGMLS(cloud_filters=mask_filters, nodata_classes=(-999,))
-    assert stats_gmls.resampling == "nearest"
+    assert stats_gmls.resampling == "bilinear"
 
 
 def test_no_data_value(monkeypatch):