diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
index 4db5959b..0bc1cc9c 100644
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -3,5 +3,4 @@
  - [ ] Closes #xxxx <!-- remove if there is no corresponding issue, which should only be the case for minor changes -->
  - [ ] Tests added <!-- for all bug fixes or enhancements -->
  - [ ] Tests passed <!-- for all non-documentation changes -->
- - [ ] Passes ``git diff origin/main **/*py | flake8 --diff`` <!-- remove if you did not edit any Python files  -->
  - [ ] Fully documented <!-- remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later -->
diff --git a/pyresample/geometry.py b/pyresample/geometry.py
index 0a0250b0..9463fb6e 100644
--- a/pyresample/geometry.py
+++ b/pyresample/geometry.py
@@ -2696,6 +2696,15 @@ def geocentric_resolution(self, ellps='WGS84', radius=None):
            edge averages.
 
         """
+        def _safe_bin_edges(arr):
+            try:
+                return np.histogram_bin_edges(arr, bins=10)[:2]
+            except ValueError:
+                # numpy 2.1.0+ produces a ValueError if it can't fill
+                # all bins due to a small data range
+                # we just arbitrarily use the first 2 elements as all elements
+                # should be within floating point precision for our use case
+                return arr[:2]
         from pyproj.transformer import Transformer
         rows, cols = self.shape
         mid_row = rows // 2
@@ -2726,9 +2735,9 @@ def geocentric_resolution(self, ellps='WGS84', radius=None):
         # Very useful near edge of disk geostationary areas.
         hor_res = vert_res = 0
         if hor_dist.size:
-            hor_res = np.mean(np.histogram_bin_edges(hor_dist)[:2])
+            hor_res = np.mean(_safe_bin_edges(hor_dist))
         if vert_dist.size:
-            vert_res = np.mean(np.histogram_bin_edges(vert_dist)[:2])
+            vert_res = np.mean(_safe_bin_edges(vert_dist))
         # Use the maximum distance between the two midlines instead of
         # binning both of them together. If we binned them together then
         # we are highly dependent on the shape of the area (more rows in
diff --git a/pyresample/test/test_geometry/test_area.py b/pyresample/test/test_geometry/test_area.py
index 4cb03c96..ce29e9e0 100644
--- a/pyresample/test/test_geometry/test_area.py
+++ b/pyresample/test/test_geometry/test_area.py
@@ -1062,6 +1062,21 @@ def test_area_def_geocentric_resolution(self, create_test_area):
         geo_res = area_def.geocentric_resolution()
         np.testing.assert_allclose(298.647232, geo_res, atol=1e-1)
 
+    def test_area_def_geocentric_resolution_close_dist(self, create_test_area):
+        """Test geocentric resolution when distance range isn't big enough for histogram bins.
+
+        The method currently uses `np.histogram_bin_edges`. Starting in numpy
+        2.1.0, if the number of bins requested (10 in this default case) can't
+        be created because the range of the data is too small, it will raise an
+        exception. This test makes sure that geocentric_resolution doesn't
+        error out when this case is encountered.
+
+        """
+        # this area is known to produce horizontal distances of ~999.9999989758
+        # and trigger the error in numpy 2.1.0
+        ar = create_test_area(4087, 5, 5, (-2500.0, -2500.0, 2500.0, 2500.0))
+        np.testing.assert_allclose(ar.geocentric_resolution(), 999.999999, atol=1e-2)
+
     def test_area_def_geocentric_resolution_latlong(self, create_test_area):
         """Test the AreaDefinition.geocentric_resolution method on a latlong projection."""
         area_extent = (-110.0, 45.0, -95.0, 55.0)