diff --git a/.claude/sweep-metadata-state.csv b/.claude/sweep-metadata-state.csv
index 615fc9398..7abec7c04 100644
--- a/.claude/sweep-metadata-state.csv
+++ b/.claude/sweep-metadata-state.csv
@@ -1,3 +1,3 @@
 module,last_inspected,issue,severity_max,categories_found,notes
-geotiff,2026-05-13,1812,HIGH,3,"Re-audit 2026-05-13 (af588e03 worktree, branch deep-sweep-metadata-geotiff-2026-05-13-af588e03): 4-backend (numpy/cupy/dask+numpy/dask+cupy) parity verified for full reads, windowed reads, multi-band, miniswhite, nodata, extra_tags, gdal_metadata, x/y_resolution, image_description. All three writers (eager to_geotiff, dask streaming, write_geotiff_gpu) preserve rich tags through round-trip. VRT read attrs agree across open_geotiff / read_geotiff_dask / read_vrt (all 3 drop x/y_resolution -- VRT XML format limitation, LOW). NEW HIGH finding #1812: to_geotiff silently corrupted data when 3D dims[0] was not in _BAND_DIM_NAMES (e.g. dims=('time','y','x')); writer skipped moveaxis and treated leading axis as y -- round-trip produced shape (2,4,5) instead of (4,5,2) with swapped per-slice contents. Fix raises ValueError at all 3 writer entry points with an actionable message (transpose to (y,x,band) or rename to band/bands/channel). Existing LOW (int+nodata dtype dask always-promotes-to-float64 while eager/gpu keep int when sentinel absent) is documented and intentional per #1597."
+geotiff,2026-05-15,1909,HIGH,4;5,"Re-audit 2026-05-15 (agent-a55b69cec1ef2a092 worktree, branch deep-sweep-metadata-geotiff-2026-05-15). 4-backend (numpy/cupy/dask+numpy/dask+cupy) parity reverified after the #1813 modular refactor: full reads, windowed reads, multi-band, band=N selection, no-georef integer pixel coords, crs/crs_wkt/transform/nodata/x_resolution/y_resolution/resolution_unit/image_description/gdal_metadata all agree across backends. DataArray .name and dims agree (y, x for 2D; y, x, band for 3D). NEW HIGH finding #1909: GDS chunked GPU path (_read_geotiff_gpu_chunked_gds) declared the dask graph dtype as float64 when source had an in-range integer nodata sentinel, matching the CPU dask path's #1597 contract, but the per-chunk _chunk_task did not cast its returned cupy array to declared_dtype -- chunks with no sentinel hit returned the raw uint16/int16 source dtype, producing a silent declared/actual dtype mismatch. Fix mirrors the #1597 + #1624 CPU dask pattern: compute declared_dtype before defining _chunk_task, cast inside the task only when arr.dtype != declared_dtype to skip the no-op astype(copy=True). 6 regression tests added in test_chunked_gpu_declared_dtype_1909.py covering declared vs computed parity, CPU/GPU dask declared-dtype agreement, eager paths preserve source dtype, no-nodata round-trip, explicit dtype= kwarg, and sentinel-hit float64 promotion. Pre-existing test failures in test_predictor2_big_endian_gpu_1517.py and test_size_param_validation_gpu_vrt_1776.py exist on main (read_to_array AttributeError after #1813 refactor, tile_size=4 rejected by stricter _validate_tile_size_arg) and are unrelated to this audit."
 reproject,2026-05-10,1572;1573,HIGH,1;3;4,geoid_height_raster dropped input attrs and used dims[-2:] for 3D inputs (#1572). reproject/merge ignored nodatavals (rasterio convention) when rioxarray absent (#1573). Fixed in same branch.
diff --git a/xrspatial/geotiff/_backends/gpu.py b/xrspatial/geotiff/_backends/gpu.py
index 0d51dcf2e..849323562 100644
--- a/xrspatial/geotiff/_backends/gpu.py
+++ b/xrspatial/geotiff/_backends/gpu.py
@@ -1032,6 +1032,17 @@ def _read_geotiff_gpu_chunked_gds(source, ifd, geo_info, header, *,
     masked_fill = (_resolve_masked_fill(ifd.nodata_str, file_dtype)
                    if compression == COMPRESSION_LERC else None)
 
+    # Determine declared dtype for the dask graph. Nodata masking
+    # promotes integer rasters to float64; mirror the CPU dask path.
+    declared_dtype = file_dtype
+    if nodata is not None and file_dtype.kind in ('u', 'i'):
+        if np.isfinite(nodata) and float(nodata).is_integer():
+            info = np.iinfo(file_dtype)
+            if info.min <= int(nodata) <= info.max:
+                declared_dtype = np.dtype('float64')
+    if dtype is not None:
+        declared_dtype = np.dtype(dtype)
+
     @dask.delayed
     def _chunk_task(meta, r0, c0, r1, c1):
         all_offsets, all_byte_counts = meta
@@ -1050,19 +1061,23 @@ def _chunk_task(meta, r0, c0, r1, c1):
             arr = arr.astype(target)
         if band is not None and arr.ndim == 3:
             arr = arr[:, :, band]
+        # Cast to the declared graph dtype so every chunk matches the
+        # dask array's promised dtype. ``_apply_nodata_mask_gpu`` only
+        # promotes integer arrays to float64 when at least one sentinel
+        # pixel hits, mirroring the eager GPU semantics; the dask graph
+        # always-promotes (matching the CPU dask path's #1597 contract),
+        # so chunks with no sentinel hit need an explicit cast here.
+        # Without this, a uint16 file + declared nodata sentinel
+        # produces a graph that advertises float64 but emits uint16
+        # buffers from any chunk that didn't hit the sentinel -- a
+        # silent declared/actual dtype mismatch (issue #1909). Skip
+        # the cast when the dtype already matches to avoid the
+        # ``astype(copy=True)`` per-chunk allocation that #1624 fixed
+        # for the CPU dask path.
+        if arr.dtype != declared_dtype:
+            arr = arr.astype(declared_dtype)
         return arr
 
-    # Determine declared dtype for the dask graph. Nodata masking
-    # promotes integer rasters to float64; mirror the CPU dask path.
-    declared_dtype = file_dtype
-    if nodata is not None and file_dtype.kind in ('u', 'i'):
-        if np.isfinite(nodata) and float(nodata).is_integer():
-            info = np.iinfo(file_dtype)
-            if info.min <= int(nodata) <= info.max:
-                declared_dtype = np.dtype('float64')
-    if dtype is not None:
-        declared_dtype = np.dtype(dtype)
-
     out_has_band_axis = band is None and n_bands_out > 0
 
     blocks_rows = []
diff --git a/xrspatial/geotiff/tests/test_chunked_gpu_declared_dtype_1909.py b/xrspatial/geotiff/tests/test_chunked_gpu_declared_dtype_1909.py
new file mode 100644
index 000000000..da6ef86a3
--- /dev/null
+++ b/xrspatial/geotiff/tests/test_chunked_gpu_declared_dtype_1909.py
@@ -0,0 +1,204 @@
+"""Regression test for issue #1909.
+
+The GDS chunked GPU read path (``_read_geotiff_gpu_chunked_gds``)
+declares ``float64`` on the dask graph whenever the source file has an
+integer nodata sentinel that round-trips through the source dtype, but
+each chunk task returned the raw source dtype if no pixel hit the
+sentinel. The result was a silent declared/actual dtype mismatch: the
+dask array advertised float64 while ``.compute()`` produced uint16
+buffers from chunks where the sentinel didn't appear.
+
+The fix casts each chunk to the declared dtype before returning, gated
+on ``arr.dtype != declared_dtype`` so the no-op case skips the
+``astype(copy=True)`` allocation (same #1624 optimisation as the CPU
+dask path).
+
+These tests drive ``_read_geotiff_gpu_chunked_gds`` directly because
+``read_geotiff_gpu(chunks=...)`` only routes to the GDS path when
+``_gds_chunk_path_available`` qualifies (tiled file, kvikio present,
+etc.); otherwise it falls back to CPU dask + upload, which already
+has the correct dtype contract via #1597 and would not exercise the
+#1909 fix. The mmap fallback inside ``gpu_decode_tiles_from_file``
+keeps the test runnable without KvikIO on CI.
+"""
+from __future__ import annotations
+
+import importlib.util
+
+import numpy as np
+import pytest
+
+
+def _gpu_available() -> bool:
+    if importlib.util.find_spec("cupy") is None:
+        return False
+    try:
+        import cupy
+        return bool(cupy.cuda.is_available())
+    except Exception:
+        return False
+
+
+_HAS_GPU = _gpu_available()
+_gpu_only = pytest.mark.skipif(not _HAS_GPU, reason="cupy + CUDA required")
+
+
+def _parse_for_gds(path: str):
+    """Return ``(ifd, geo_info, header)`` for the GDS entry point."""
+    from xrspatial.geotiff._reader import _FileSource
+    from xrspatial.geotiff._header import (
+        parse_header, parse_all_ifds, select_overview_ifd,
+    )
+    from xrspatial.geotiff._geotags import (
+        extract_geo_info_with_overview_inheritance,
+    )
+
+    fs = _FileSource(path)
+    try:
+        raw = fs.read_all()
+    finally:
+        fs.close()
+    header = parse_header(raw)
+    ifds = parse_all_ifds(raw, header)
+    ifd = select_overview_ifd(ifds, None)
+    geo_info = extract_geo_info_with_overview_inheritance(
+        ifd, ifds, raw, header.byte_order,
+    )
+    return ifd, geo_info, header
+
+
+@pytest.fixture
+def uint16_no_sentinel_path(tmp_path):
+    """A tiled uint16 GeoTIFF with declared nodata=9999 and no sentinel pixels."""
+    from xrspatial.geotiff import to_geotiff
+
+    arr = (np.arange(64, dtype=np.uint16) + 100).reshape(8, 8)
+    path = tmp_path / "uint16_no_sentinel.tif"
+    to_geotiff(arr, str(path), compression="none", nodata=9999, tile_size=16)
+    return str(path)
+
+
+@pytest.fixture
+def uint16_sentinel_hit_path(tmp_path):
+    """A tiled uint16 GeoTIFF whose first chunk hits the nodata sentinel."""
+    from xrspatial.geotiff import to_geotiff
+
+    arr = (np.arange(64, dtype=np.uint16) + 100).reshape(8, 8)
+    arr[0, 0] = 9999
+    path = tmp_path / "uint16_sentinel_hit.tif"
+    to_geotiff(arr, str(path), compression="none", nodata=9999, tile_size=16)
+    return str(path)
+
+
+@pytest.fixture
+def uint16_no_nodata_path(tmp_path):
+    """A tiled uint16 GeoTIFF with no declared nodata."""
+    from xrspatial.geotiff import to_geotiff
+
+    arr = (np.arange(64, dtype=np.uint16) + 100).reshape(8, 8)
+    path = tmp_path / "uint16_no_nodata.tif"
+    to_geotiff(arr, str(path), compression="none", tile_size=16)
+    return str(path)
+
+
+@_gpu_only
+def test_chunked_gpu_declared_dtype_matches_computed(uint16_no_sentinel_path):
+    """Declared dask graph dtype must equal the computed chunk dtype."""
+    from xrspatial.geotiff._backends.gpu import _read_geotiff_gpu_chunked_gds
+
+    ifd, geo_info, header = _parse_for_gds(uint16_no_sentinel_path)
+    da = _read_geotiff_gpu_chunked_gds(
+        uint16_no_sentinel_path, ifd, geo_info, header,
+        dtype=None, chunks=4, window=None, band=None,
+        name=None, max_pixels=None,
+    )
+    declared = da.data.dtype
+    computed = da.data.compute()
+    assert declared == np.float64
+    assert declared == computed.dtype, (
+        f"GDS chunked path declared {declared} but computed {computed.dtype}; "
+        f"this is the issue #1909 silent declared/actual dtype mismatch."
+    )
+
+
+@_gpu_only
+def test_chunked_gpu_dtype_matches_cpu_dask(uint16_no_sentinel_path):
+    """The dask+cupy declared dtype must match the dask+numpy path."""
+    from xrspatial.geotiff import read_geotiff_dask
+    from xrspatial.geotiff._backends.gpu import _read_geotiff_gpu_chunked_gds
+
+    cpu = read_geotiff_dask(uint16_no_sentinel_path, chunks=4)
+    ifd, geo_info, header = _parse_for_gds(uint16_no_sentinel_path)
+    gpu = _read_geotiff_gpu_chunked_gds(
+        uint16_no_sentinel_path, ifd, geo_info, header,
+        dtype=None, chunks=4, window=None, band=None,
+        name=None, max_pixels=None,
+    )
+    assert cpu.data.dtype == gpu.data.dtype, (
+        f"CPU dask declared {cpu.data.dtype} but GPU dask declared "
+        f"{gpu.data.dtype}; backends must agree on graph dtype."
+    )
+
+
+@_gpu_only
+def test_chunked_gpu_no_nodata_keeps_source_dtype(uint16_no_nodata_path):
+    """No nodata declared => declared dtype stays at source dtype."""
+    from xrspatial.geotiff._backends.gpu import _read_geotiff_gpu_chunked_gds
+
+    ifd, geo_info, header = _parse_for_gds(uint16_no_nodata_path)
+    da = _read_geotiff_gpu_chunked_gds(
+        uint16_no_nodata_path, ifd, geo_info, header,
+        dtype=None, chunks=4, window=None, band=None,
+        name=None, max_pixels=None,
+    )
+    assert da.data.dtype == np.uint16
+    assert da.data.compute().dtype == np.uint16
+
+
+@_gpu_only
+def test_chunked_gpu_explicit_dtype_kwarg_threads_through(uint16_no_sentinel_path):
+    """Explicit dtype= overrides nodata promotion and chunks land in it."""
+    from xrspatial.geotiff._backends.gpu import _read_geotiff_gpu_chunked_gds
+
+    ifd, geo_info, header = _parse_for_gds(uint16_no_sentinel_path)
+    da = _read_geotiff_gpu_chunked_gds(
+        uint16_no_sentinel_path, ifd, geo_info, header,
+        dtype="float32", chunks=4, window=None, band=None,
+        name=None, max_pixels=None,
+    )
+    assert da.data.dtype == np.float32
+    assert da.data.compute().dtype == np.float32
+
+
+@_gpu_only
+def test_chunked_gpu_sentinel_hit_still_promotes(uint16_sentinel_hit_path):
+    """A chunk that hits the sentinel still NaN-masks and lands in float64."""
+    from xrspatial.geotiff._backends.gpu import _read_geotiff_gpu_chunked_gds
+
+    ifd, geo_info, header = _parse_for_gds(uint16_sentinel_hit_path)
+    da = _read_geotiff_gpu_chunked_gds(
+        uint16_sentinel_hit_path, ifd, geo_info, header,
+        dtype=None, chunks=4, window=None, band=None,
+        name=None, max_pixels=None,
+    )
+    assert da.data.dtype == np.float64
+    computed = da.data.compute()
+    assert computed.dtype == np.float64
+    # ``.get()`` brings the cupy array to host before NumPy's ``isnan``.
+    host = computed.get()
+    assert np.isnan(host[0, 0])
+
+
+def test_chunked_gpu_eager_paths_keep_source_dtype(uint16_no_sentinel_path):
+    """Eager paths (no chunks) keep the source uint16 dtype.
+
+    Pinned to lock the contract: the eager paths only promote when an
+    actual sentinel pixel hits; the dask paths always promote when a
+    sentinel is declared. Both contracts are valid; the fix only ties
+    the GDS chunked path to the dask contract. CPU-only so this runs
+    in every CI configuration.
+    """
+    from xrspatial.geotiff import open_geotiff
+
+    np_da = open_geotiff(uint16_no_sentinel_path)
+    assert np_da.dtype == np.uint16