diff --git a/dali/operators/imgcodec/image_decoder.h b/dali/operators/imgcodec/image_decoder.h
index 795422ede6e..30da68aec7f 100644
--- a/dali/operators/imgcodec/image_decoder.h
+++ b/dali/operators/imgcodec/image_decoder.h
@@ -12,11 +12,18 @@
 // limitations under the License.
 
 #include <atomic>
+#include <cstdarg>
+#include <cstdio>
+#include <cstring>
 #include <map>
 #include <memory>
+#include <mutex>
 #include <string>
 #include <utility>
 #include <vector>
+#if LIBTIFF_ENABLED
+#include <tiffio.h>
+#endif
 #include "dali/core/call_at_exit.h"
 #include "dali/core/mm/memory.h"
 #include "dali/operators.h"
@@ -46,6 +53,51 @@ nvimgcodecStatus_t get_nvjpeg2k_extension_desc(nvimgcodecExtensionDesc_t *ext_de
 namespace dali {
 namespace imgcodec {
 
+#if LIBTIFF_ENABLED
+
+// GeoTIFF-specific TIFF tag IDs that libtiff does not recognize natively.
+// When decoding GeoTIFF files, libtiff emits "Unknown field with tag X" warnings for these tags.
+// The image data is decoded correctly; the tags only carry geographic metadata.
+constexpr uint32_t kGeoTIFFTags[] = {
+    33550,  // ModelPixelScaleTag
+    33922,  // ModelTiepointTag
+    34264,  // ModelTransformationTag
+    34735,  // GeoKeyDirectoryTag
+    34736,  // GeoDoubleParamsTag
+    34737,  // GeoAsciiParamsTag
+    42112,  // GDAL_METADATA
+    42113,  // GDAL_NODATA
+};
+
+inline void SuppressGeoTIFFTagWarnings(const char *module, const char *fmt, va_list ap) {
+  if (strstr(fmt, "Unknown field with tag") != nullptr) {
+    va_list ap_copy;
+    va_copy(ap_copy, ap);
+    unsigned int tag = va_arg(ap_copy, unsigned int);
+    va_end(ap_copy);
+    for (auto geotiff_tag : kGeoTIFFTags) {
+      if (tag == geotiff_tag)
+        return;
+    }
+  }
+  char buf[1024];
+  vsnprintf(buf, sizeof(buf), fmt, ap);
+  // libtiff permits a null module name in some code paths
+  if (module)
+    std::cerr << module << ": " << buf << "\n";
+  else
+    std::cerr << buf << "\n";
+}
+
+// Declared inline so the static once_flag is shared across all translation units,
+// guaranteeing TIFFSetWarningHandler is called exactly once per process.
+inline void InstallGeoTIFFWarningFilter() {
+  static std::once_flag flag;
+  std::call_once(flag, [] { TIFFSetWarningHandler(SuppressGeoTIFFTagWarnings); });
+}
+
+#endif  // LIBTIFF_ENABLED
+
 template <typename Backend>
 struct OutBackend {
   using type = GPUBackend;
@@ -219,6 +271,9 @@ class ImageDecoder : public StatelessOperator<Backend> {
 
 
   explicit ImageDecoder(const OpSpec &spec) : StatelessOperator<Backend>(spec) {
+#if LIBTIFF_ENABLED
+    InstallGeoTIFFWarningFilter();
+#endif
     device_id_ = std::is_same<CPUBackend, Backend>::value ? CPU_ONLY_DEVICE_ID :
                                                             spec.GetArgument<int>("device_id");
     format_ = spec.GetArgument<DALIImageType>("output_type");
diff --git a/dali/test/python/decoder/test_image.py b/dali/test/python/decoder/test_image.py
index 8c4398e1957..69c124f6bb5 100644
--- a/dali/test/python/decoder/test_image.py
+++ b/dali/test/python/decoder/test_image.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2019-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -19,6 +19,7 @@
 import nvidia.dali.types as types
 import os
 import random
+import struct
 import tempfile
 from nvidia.dali import pipeline_def
 
@@ -26,8 +27,8 @@
 from nose_utils import assert_raises, SkipTest
 from test_utils import compare_pipelines
 from test_utils import get_dali_extra_path
-from test_utils import to_array
 from test_utils import get_nvjpeg_ver
+from test_utils import to_array
 
 
 def get_img_files(data_path, subdir="*", ext=None):
@@ -491,6 +492,108 @@ def pipe():
     assert np.quantile(delta, 0.9) < 0.05, "Original and palette TIFF differ significantly"
 
 
+def _create_geotiff(path, width=4, height=4):
+    """Build a minimal GeoTIFF file from scratch with the five standard GeoTIFF metadata tags.
+
+    Returns the expected pixel array (HxW uint8) so callers can compare against decoded output.
+    The file is constructed with struct so no third-party TIFF library is required.
+    """
+    # Image: row-major, values 0..(H*W-1), clipped to uint8
+    image_data = bytes(i % 256 for i in range(width * height))
+
+    # Extra tag payloads (stored after the IFD)
+    model_pixel_scale = struct.pack("<3d", 1.0, 1.0, 0.0)  # ModelPixelScaleTag  (3 doubles)
+    model_tiepoint = struct.pack("<6d", *([0.0] * 6))  # ModelTiepointTag    (6 doubles)
+    geo_key_dir = struct.pack("<4H", 1, 1, 0, 0)  # GeoKeyDirectoryTag  (4 shorts)
+    geo_double = struct.pack("<d", 0.0)  # GeoDoubleParamsTag  (1 double)
+    geo_ascii = b"WGS 84|\x00"  # GeoAsciiParamsTag   (ASCII)
+
+    # Compute layout offsets
+    # 0..7:   header
+    # 8..23:  image data (16 bytes for 4x4)
+    # 24..:   IFD
+    num_entries = 14
+    image_offset = 8
+    ifd_offset = image_offset + len(image_data)
+    entries_offset = ifd_offset + 2  # skip num_entries field
+    extra_start = entries_offset + num_entries * 12 + 4  # after entries + next-IFD pointer
+
+    off_mps = extra_start
+    off_mt = off_mps + len(model_pixel_scale)
+    off_gkd = off_mt + len(model_tiepoint)
+    off_gdp = off_gkd + len(geo_key_dir)
+    off_gas = off_gdp + len(geo_double)
+
+    SHORT, LONG, DOUBLE, ASCII = 3, 4, 12, 2
+
+    def ifd_entry(tag, ttype, count, val):
+        return struct.pack("<HHII", tag, ttype, count, val)
+
+    entries = b"".join(
+        [
+            ifd_entry(256, SHORT, 1, width),  # ImageWidth
+            ifd_entry(257, SHORT, 1, height),  # ImageLength
+            ifd_entry(258, SHORT, 1, 8),  # BitsPerSample
+            ifd_entry(259, SHORT, 1, 1),  # Compression = None
+            ifd_entry(262, SHORT, 1, 1),  # PhotometricInterpretation
+            ifd_entry(273, LONG, 1, image_offset),  # StripOffsets
+            ifd_entry(277, SHORT, 1, 1),  # SamplesPerPixel
+            ifd_entry(278, SHORT, 1, height),  # RowsPerStrip
+            ifd_entry(279, LONG, 1, len(image_data)),  # StripByteCounts
+            ifd_entry(33550, DOUBLE, 3, off_mps),  # ModelPixelScaleTag
+            ifd_entry(33922, DOUBLE, 6, off_mt),  # ModelTiepointTag
+            ifd_entry(34735, SHORT, 4, off_gkd),  # GeoKeyDirectoryTag
+            ifd_entry(34736, DOUBLE, 1, off_gdp),  # GeoDoubleParamsTag
+            ifd_entry(34737, ASCII, len(geo_ascii), off_gas),  # GeoAsciiParamsTag
+        ]
+    )
+    assert len(entries) == num_entries * 12
+
+    tiff_bytes = (
+        struct.pack("<HHI", 0x4949, 42, ifd_offset)  # header: LE + magic + IFD offset
+        + image_data
+        + struct.pack("<H", num_entries)
+        + entries
+        + struct.pack("<I", 0)  # next IFD = none
+        + model_pixel_scale
+        + model_tiepoint
+        + geo_key_dir
+        + geo_double
+        + geo_ascii
+    )
+    with open(path, "wb") as f:
+        f.write(tiff_bytes)
+
+    return np.frombuffer(image_data, dtype=np.uint8).reshape(height, width)
+
+
+@params("cpu", "mixed")
+def test_image_decoder_geotiff(device):
+    """GeoTIFF files with standard geographic metadata tags must decode without errors.
+
+    GeoTIFF tags (ModelPixelScale, ModelTiepoint, GeoKeyDirectory, GeoDoubleParams,
+    GeoAsciiParams) are not natively known to libtiff, which emits "Unknown field with tag"
+    warnings for them. The fix installs a custom libtiff warning handler that suppresses
+    those specific warnings while passing through all others.
+    """
+    with tempfile.TemporaryDirectory() as tmpdir:
+        geo_path = os.path.join(tmpdir, "geo.tif")
+        expected = _create_geotiff(geo_path)
+
+        @pipeline_def(batch_size=1, device_id=0, num_threads=1)
+        def geo_pipe(files):
+            encoded, _ = fn.readers.file(files=files)
+            decoded = fn.decoders.image(encoded, device=device, output_type=types.ANY_DATA)
+            return decoded
+
+        p = geo_pipe(files=[geo_path])
+        out = p.run()[0]
+        if device == "mixed":
+            out = out.as_cpu()
+        result = np.array(out[0]).squeeze()
+        np.testing.assert_array_equal(result, expected)
+
+
 def test_image_decoder_crafted_tiny_files():
     with tempfile.TemporaryDirectory() as tmpdir:
         tiny_file_path = os.path.join(tmpdir, "tiny.img")