diff --git a/xrspatial/rasterize.py b/xrspatial/rasterize.py
index 2c06d71b4..46686eeb6 100644
--- a/xrspatial/rasterize.py
+++ b/xrspatial/rasterize.py
@@ -1222,6 +1222,25 @@ def _should_write_last_gpu(is_first, new_idx, cur_idx):
 
 _gpu_kernel_cache = {}
 
+# Must stay in lock-step with the cuda.local.array(2048, ...) allocations in
+# _scanline_fill_gpu.  Raise both together if this is ever tuned.
+_GPU_MAX_ISECT = 2048
+
+
+def _check_gpu_edge_cap(row_ptr):
+    """Raise if any raster row needs more active edges than the GPU kernel
+    can hold in its fixed-size local array.  Without this guard the CUDA
+    scanline kernel would silently truncate and emit wrong pixels.
+    """
+    max_edges_per_row = int(np.diff(row_ptr).max())
+    if max_edges_per_row > _GPU_MAX_ISECT:
+        raise ValueError(
+            f"rasterize CUDA kernel: {max_edges_per_row} active edges in a "
+            f"single row exceeds the limit of {_GPU_MAX_ISECT}. The kernel "
+            f"would silently drop excess edges and produce wrong output. "
+            f"Use the numpy/dask+numpy backend, or reduce polygon density."
+        )
+
 
 def _ensure_gpu_kernels(merge_fn, should_write):
     """Compile CUDA kernels for the given merge + predicate pair and cache.
@@ -1480,17 +1499,10 @@ def _run_cupy(geometries, props_array, bounds, height, width, fill, dtype,
         row_ptr, col_idx = _build_row_csr_numba(
             edge_y_min, edge_y_max, height)
 
-        # Check for rows exceeding the GPU kernel's local array limit
-        _GPU_MAX_ISECT = 2048
-        max_edges_per_row = int(np.diff(row_ptr).max())
-        if max_edges_per_row > _GPU_MAX_ISECT:
-            warnings.warn(
-                f"rasterize CUDA kernel: {max_edges_per_row} active edges "
-                f"in a single row exceeds the limit of {_GPU_MAX_ISECT}. "
-                f"Excess edges will be silently dropped, causing incorrect "
-                f"results. Reduce polygon density or use the numpy backend.",
-                stacklevel=3,
-            )
+        # The CUDA scanline kernel allocates a fixed-size local array; rows
+        # exceeding _GPU_MAX_ISECT would have edges silently dropped and
+        # produce wrong output.  Fail fast instead.
+        _check_gpu_edge_cap(row_ptr)
 
         d_y_min = cupy.asarray(edge_y_min)
         d_x_at_ymin = cupy.asarray(edge_x_at_ymin)
@@ -1924,6 +1936,9 @@ def _rasterize_tile_cupy(poly_wkb, poly_props_2d, poly_global_2d, tile_bounds,
                 edge_geom_id = edge_arrays[1:]
             row_ptr, col_idx = _build_row_csr_numba(
                 edge_y_min, edge_y_max, tile_h)
+            # Same fail-fast as eager CuPy: per-tile truncation would be
+            # silent without this check.
+            _check_gpu_edge_cap(row_ptr)
             tpb = 256
             blocks = (tile_h + tpb - 1) // tpb
             kernels['scanline_fill'][blocks, tpb](
diff --git a/xrspatial/tests/test_rasterize.py b/xrspatial/tests/test_rasterize.py
index 3f6c27819..5ad1814c8 100644
--- a/xrspatial/tests/test_rasterize.py
+++ b/xrspatial/tests/test_rasterize.py
@@ -364,6 +364,32 @@ def test_invalid_chunks(self, bad):
                       width=10, height=10, bounds=(0, 0, 1, 1),
                       chunks=bad)
 
+    def test_gpu_edge_cap_check_raises(self):
+        # Issue #2067: the CUDA scanline kernel allocates a fixed 2048-entry
+        # local array.  Without a guard, exceeding it silently truncates
+        # active edges and produces wrong output.  The validator runs on
+        # the host, so this is testable without a GPU.
+        from xrspatial.rasterize import _check_gpu_edge_cap, _GPU_MAX_ISECT
+        # row_ptr where row 0 has _GPU_MAX_ISECT + 1 edges
+        row_ptr = np.array([0, _GPU_MAX_ISECT + 1, _GPU_MAX_ISECT + 1],
+                           dtype=np.int64)
+        with pytest.raises(ValueError, match="active edges"):
+            _check_gpu_edge_cap(row_ptr)
+
+    def test_gpu_edge_cap_check_passes_at_limit(self):
+        from xrspatial.rasterize import _check_gpu_edge_cap, _GPU_MAX_ISECT
+        row_ptr = np.array([0, _GPU_MAX_ISECT, _GPU_MAX_ISECT],
+                           dtype=np.int64)
+        # exactly at the cap is permitted
+        _check_gpu_edge_cap(row_ptr)
+
+    def test_gpu_edge_cap_check_passes_below_limit(self):
+        from xrspatial.rasterize import _check_gpu_edge_cap, _GPU_MAX_ISECT
+        row_ptr = np.array([0, _GPU_MAX_ISECT - 1, _GPU_MAX_ISECT - 1],
+                           dtype=np.int64)
+        # just under the cap, the common case
+        _check_gpu_edge_cap(row_ptr)
+
     def test_empty_geometry_does_not_poison_inferred_bounds(self):
         # Issue #2065: an empty geometry returns nan from .bounds; the
         # caller used .min()/.max() unfiltered, so a single empty geom