diff --git a/openeo_processes_dask/process_implementations/cubes/general.py b/openeo_processes_dask/process_implementations/cubes/general.py
index 91ca5d6..04a2011 100644
--- a/openeo_processes_dask/process_implementations/cubes/general.py
+++ b/openeo_processes_dask/process_implementations/cubes/general.py
@@ -158,30 +158,44 @@ def rename_labels(
         raise DimensionNotAvailable(
             f"Provided dimension ({dimension}) not found in data.dims: {data_rename.dims}"
         )
-    if source:
+    if len(source) > 0:
         if len(source) != len(target):
             raise Exception(
                 f"LabelMismatch - The number of labels in the parameters `source` and `target` don't match."
             )
 
+    time = False
+    if dimension in data.openeo.temporal_dims:
+        time = True
+
     source_labels = data_rename[dimension].values
+    if time:
+        source_labels = np.array(source_labels, dtype="datetime64[s]")
+    elif np.issubdtype(source_labels.dtype, np.datetime64):
+        source_labels = source_labels.astype("datetime64[s]")
+        time = True
     if isinstance(source_labels, np.ndarray):
         source_labels = source_labels.tolist()
     if isinstance(target, np.ndarray):
         target = target.tolist()
-
+    if time:
+        source = np.array(source, dtype="datetime64[s]")
+    if isinstance(source, np.ndarray):
+        if np.issubdtype(source.dtype, np.datetime64):
+            source = source.astype("datetime64[s]")
+        source = source.tolist()
     target_values = []
 
     for label in source_labels:
         if label in target:
             raise Exception(f"LabelExists - A label with the specified name exists.")
-        if source:
+        if len(source) > 0:
             if label in source:
                 target_values.append(target[source.index(label)])
             else:
                 target_values.append(label)
 
-    if not source:
+    if len(source) == 0:
         if len(source_labels) == len(target):
             data_rename[dimension] = target
         elif len(target) < len(source_labels):
diff --git a/pyproject.toml b/pyproject.toml
index 4f87115..8a2e8d3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "openeo-processes-dask"
-version = "2024.11.4"
+version = "2024.11.5"
 description = "Python implementations of many OpenEO processes, dask-friendly by default."
 authors = ["Lukas Weidenholzer <lukas.weidenholzer@eodc.eu>", "Sean Hoyal <sean.hoyal@eodc.eu>", "Valentina Hutter <valentina.hutter@eodc.eu>"]
 maintainers = ["EODC Staff <support@eodc.eu>"]
diff --git a/tests/test_dimensions.py b/tests/test_dimensions.py
index 37ae373..2210f92 100644
--- a/tests/test_dimensions.py
+++ b/tests/test_dimensions.py
@@ -1,13 +1,7 @@
 import numpy as np
 import pytest
 
-from openeo_processes_dask.process_implementations.cubes.general import (
-    add_dimension,
-    drop_dimension,
-    rename_dimension,
-    rename_labels,
-    trim_cube,
-)
+from openeo_processes_dask.process_implementations.cubes.general import *
 from openeo_processes_dask.process_implementations.exceptions import (
     DimensionLabelCountMismatch,
     DimensionNotAvailable,
@@ -127,6 +121,29 @@ def test_rename_labels(temporal_interval, bounding_box, random_raster_data):
         )
 
 
+@pytest.mark.parametrize("size", [(30, 30, 2, 4)])
+@pytest.mark.parametrize("dtype", [np.float32])
+def test_rename_labels_time(temporal_interval, bounding_box, random_raster_data):
+    input_cube = create_fake_rastercube(
+        data=random_raster_data,
+        spatial_extent=bounding_box,
+        temporal_extent=temporal_interval,
+        bands=["B02", "B03", "B04", "B08"],
+        backend="dask",
+    )
+
+    t_labels = dimension_labels(input_cube, dimension="t")
+    output_cube = rename_labels(
+        input_cube, dimension="t", source=t_labels, target=["first_date", "second_date"]
+    )
+    assert "first_date" in output_cube["t"].values
+
+    output_cube_2 = rename_labels(
+        input_cube, dimension="t", source=[t_labels[-1]], target=["second_date"]
+    )
+    assert "second_date" in output_cube_2["t"].values
+
+
 @pytest.mark.parametrize("size", [(30, 30, 20, 4)])
 @pytest.mark.parametrize("dtype", [np.float32])
 def test_trim_cube(temporal_interval, bounding_box, random_raster_data):