diff --git a/docs/source/highlights.md b/docs/source/highlights.md
index 0e2c9500a4..b8da46871c 100644
--- a/docs/source/highlights.md
+++ b/docs/source/highlights.md
@@ -472,8 +472,8 @@ For example:
 train_transforms = [
     LoadImaged(...),
     AddChanneld(...),
-    Spacingd(...),
     Orientationd(...),
+    Spacingd(...),
     ScaleIntensityRanged(...),
     EnsureTyped(..., data_type="tensor"),
     ToDeviced(..., device="cuda:0"),
diff --git a/monai/apps/deepgrow/dataset.py b/monai/apps/deepgrow/dataset.py
index 763377763a..721781196b 100644
--- a/monai/apps/deepgrow/dataset.py
+++ b/monai/apps/deepgrow/dataset.py
@@ -126,8 +126,8 @@ def _default_transforms(image_key, label_key, pixdim):
         [
             LoadImaged(keys=keys),
             AsChannelFirstd(keys=keys),
-            Spacingd(keys=keys, pixdim=pixdim, mode=mode),
             Orientationd(keys=keys, axcodes="RAS"),
+            Spacingd(keys=keys, pixdim=pixdim, mode=mode),
         ]
     )
 
diff --git a/monai/transforms/spatial/dictionary.py b/monai/transforms/spatial/dictionary.py
index aff2c97a63..eaff3be35d 100644
--- a/monai/transforms/spatial/dictionary.py
+++ b/monai/transforms/spatial/dictionary.py
@@ -464,6 +464,10 @@ class Orientationd(MapTransform, InvertibleTransform):
 
     After reorienting the input array, this transform will write the new affine
     to the `affine` field of metadata which is formed by ``key_{meta_key_postfix}``.
+
+    This transform assumes the channel-first input format.
+    In the case of using this transform for normalizing the orientations of images,
+    it should be used before any anisotropic spatial transforms.
     """
 
     backend = Orientation.backend