diff --git a/notebooks/tutorial/HimawariAllBands.ipynb b/notebooks/tutorial/HimawariAllBands.ipynb
new file mode 100644
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+++ b/notebooks/tutorial/HimawariAllBands.ipynb
@@ -0,0 +1,924 @@
+{
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+   "execution_count": 1,
+   "id": "0d2396c4-4c8c-4488-88a9-793c0f3c38e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyearthtools.data\n",
+    "import pyearthtools.pipeline\n",
+    "import warnings\n",
+    "import numpy as np\n",
+    "import site_archive_nci\n",
+    "import xarray as xr\n",
+    "\n",
+    "import pyearthtools.pipeline.operations.xarray.normalisation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "fbb2c4f3-204c-4252-b0aa-c473be399f95",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sat_accessor = pyearthtools.data.archive.HimawariChannels(bands=['OBS_B01', 'OBS_B02'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a445b7a3-e1df-4d29-8413-67e2889d269e",
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+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 6GB\n",
+       "Dimensions:                       (time: 6, y: 11000, x: 11000)\n",
+       "Coordinates:\n",
+       "  * time                          (time) datetime64[ns] 48B 2020-10-31T06:00:...\n",
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+       "    channel_0001_scaled_radiance  (time, y, x) float32 3GB dask.array&lt;chunksize=(1, 3040, 11000), meta=np.ndarray&gt;\n",
+       "Attributes: (12/53)\n",
+       "    Conventions:                     CF-1.6\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                  See disclaimer\n",
+       "    cdm_data_type:                   grid\n",
+       "    comment:                         AGLS observations geometry product\n",
+       "    contributor_name:                Commonwealth of Australia, Bureau of Met...\n",
+       "    ...                              ...\n",
+       "    platform:                        Himawari-8\n",
+       "    platform_launch_date:            20141007T051600Z\n",
+       "    wmo_platform_name:               Himawari-8\n",
+       "    wmo_satellite_number:            173\n",
+       "    NCO:                             netCDF Operators version 4.7.7 (Homepage...\n",
+       "    product_version:                 1.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c3965690-8a7c-4062-bc74-7d2d33ee9716' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3965690-8a7c-4062-bc74-7d2d33ee9716' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>y</span>: 11000</li><li><span class='xr-has-index'>x</span>: 11000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-70080ce8-b0cb-4a51-b04b-b2fb23ea1a05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70080ce8-b0cb-4a51-b04b-b2fb23ea1a05' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-10-31T06:00:00 ... 2020-10-...</div><input id='attrs-f261b15c-7e8a-4840-8a38-98862f422d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f261b15c-7e8a-4840-8a38-98862f422d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1a22a88-0036-4889-90d0-d19ef3000e57' class='xr-var-data-in' type='checkbox'><label for='data-b1a22a88-0036-4889-90d0-d19ef3000e57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-10-31T06:00:00.000000000&#x27;, &#x27;2020-10-31T06:10:00.000000000&#x27;,\n",
+       "       &#x27;2020-10-31T06:20:00.000000000&#x27;, &#x27;2020-10-31T06:30:00.000000000&#x27;,\n",
+       "       &#x27;2020-10-31T06:40:00.000000000&#x27;, &#x27;2020-10-31T06:50:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.5e+06 -5.498e+06 ... 5.5e+06</div><input id='attrs-4ac705cd-1d75-407e-9c86-25da88e8c15f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ac705cd-1d75-407e-9c86-25da88e8c15f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28f87f6b-fc9e-482e-8ea6-33a7fd79fb59' class='xr-var-data-in' type='checkbox'><label for='data-28f87f6b-fc9e-482e-8ea6-33a7fd79fb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5499500., -5498500., -5497500., ...,  5497500.,  5498500.,  5499500.],\n",
+       "      shape=(11000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.5e+06 5.498e+06 ... -5.5e+06</div><input id='attrs-41a853fb-b558-46ed-a882-1bcc84d26d52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a853fb-b558-46ed-a882-1bcc84d26d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80ae9047-eea6-4c27-b9c3-97b10528b99b' class='xr-var-data-in' type='checkbox'><label for='data-80ae9047-eea6-4c27-b9c3-97b10528b99b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 5499500.,  5498500.,  5497500., ..., -5497500., -5498500., -5499500.],\n",
+       "      shape=(11000,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50e1d777-71b9-42b5-8f6c-7c42557497cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50e1d777-71b9-42b5-8f6c-7c42557497cc' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>channel_0002_scaled_radiance</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3040, 11000), meta=np.ndarray&gt;</div><input id='attrs-131f1ae3-0d92-42e9-b63d-7ae2a4286ac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-131f1ae3-0d92-42e9-b63d-7ae2a4286ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbcd668f-385f-4111-a653-9dd45ac4ddba' class='xr-var-data-in' type='checkbox'><label for='data-bbcd668f-385f-4111-a653-9dd45ac4ddba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>algorithm_name :</span></dt><dd>channel_2_scaled_radiance</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>1.5</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>grid_mapping :</span></dt><dd>geostationary</dd><dt><span>central_wavelength :</span></dt><dd>5.1e-07</dd><dt><span>comment :</span></dt><dd>scaled radiance observed by the Advanced Himawari Imager at 0.51 um (Band 2)</dd><dt><span>long_name :</span></dt><dd>scaled radiance for channel 2 at 0.51 um</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 2.70 GiB </td>\n",
+       "                        <td> 127.56 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (6, 11000, 11000) </td>\n",
+       "                        <td> (1, 3040, 11000) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 24 chunks in 15 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+       "\n",
+       "  <!-- Horizontal lines -->\n",
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+       "  <!-- Colored Rectangle -->\n",
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+       "\n",
+       "  <!-- Horizontal lines -->\n",
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+       "\n",
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+       "  <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11000</text>\n",
+       "  <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">11000</text>\n",
+       "  <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">6</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geostationary</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-f76c8add-c11c-4091-b423-3c7fbf1869e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f76c8add-c11c-4091-b423-3c7fbf1869e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb738beb-c6c0-4366-b1ac-24d312efea9d' class='xr-var-data-in' type='checkbox'><label for='data-fb738beb-c6c0-4366-b1ac-24d312efea9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>proj_name :</span></dt><dd>GEOS141</dd><dt><span>sweep_angle_axis :</span></dt><dd>y</dd><dt><span>false_northing :</span></dt><dd>0</dd><dt><span>grid_mapping_name :</span></dt><dd>geostationary</dd><dt><span>false_easting :</span></dt><dd>0</dd><dt><span>satellite_height :</span></dt><dd>35785863.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.3</dd><dt><span>perspective_point_height :</span></dt><dd>35785863.0</dd><dt><span>GeoTransform :</span></dt><dd>[-5.5e+06  1.0e+03  0.0e+00  5.5e+06  0.0e+00 -1.0e+03]</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>140.7</dd><dt><span>proj4 :</span></dt><dd>+proj=geos +lon_0=140.7 +h=35785863 +x_0=0 +y_0=0 +a=6378137 +b=6356752.3 +units=m +no_defs </dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;unnamed&quot;,GEOGCS[&quot;unnamed ellipse&quot;,DATUM[&quot;unknown&quot;,SPHEROID[&quot;unnamed&quot;,6378137,298.2570248822731]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433]],PROJECTION[&quot;Geostationary_Satellite&quot;],PARAMETER[&quot;central_meridian&quot;,140.7],PARAMETER[&quot;satellite_height&quot;,35785863],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;Meter&quot;,1]]</dd></dl></div><div class='xr-var-data'><pre>array([9.96921e+36, 9.96921e+36, 9.96921e+36, 9.96921e+36, 9.96921e+36,\n",
+       "       9.96921e+36], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scan_line_time</span></div><div class='xr-var-dims'>(time, y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11000), meta=np.ndarray&gt;</div><input id='attrs-84039559-e71b-4ae8-8ab0-c402e2832104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84039559-e71b-4ae8-8ab0-c402e2832104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62213d03-67d2-4501-bd33-2f8a5f62d88f' class='xr-var-data-in' type='checkbox'><label for='data-62213d03-67d2-4501-bd33-2f8a5f62d88f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>estimated scan line time</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 515.62 kiB </td>\n",
+       "                        <td> 85.94 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (6, 11000) </td>\n",
+       "                        <td> (1, 11000) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 6 chunks in 26 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
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+       "\n",
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+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11000</text>\n",
+       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">6</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>channel_0001_scaled_radiance</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 3040, 11000), meta=np.ndarray&gt;</div><input id='attrs-2ae79d1b-38c5-49b7-9384-5901da701dd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ae79d1b-38c5-49b7-9384-5901da701dd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de11dbe-d266-49cc-b2f2-c8bd9e1aa2b2' class='xr-var-data-in' type='checkbox'><label for='data-9de11dbe-d266-49cc-b2f2-c8bd9e1aa2b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>algorithm_name :</span></dt><dd>channel_1_scaled_radiance</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>1.5</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>grid_mapping :</span></dt><dd>geostationary</dd><dt><span>central_wavelength :</span></dt><dd>4.7063e-07</dd><dt><span>comment :</span></dt><dd>scaled radiance observed by the Advanced Himawari Imager at 0.47 um (Band 1)</dd><dt><span>long_name :</span></dt><dd>scaled radiance for channel 1 at 0.47 um</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 2.70 GiB </td>\n",
+       "                        <td> 127.56 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (6, 11000, 11000) </td>\n",
+       "                        <td> (1, 3040, 11000) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 24 chunks in 15 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
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+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5a2d8ac-a412-4b6e-8949-e3c5f9f7ff66' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5a2d8ac-a412-4b6e-8949-e3c5f9f7ff66' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cc401894-cea5-465d-b7e8-986c699a8bd0' class='xr-index-data-in' type='checkbox'/><label for='index-cc401894-cea5-465d-b7e8-986c699a8bd0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-10-31 06:00:00&#x27;, &#x27;2020-10-31 06:10:00&#x27;,\n",
+       "               &#x27;2020-10-31 06:20:00&#x27;, &#x27;2020-10-31 06:30:00&#x27;,\n",
+       "               &#x27;2020-10-31 06:40:00&#x27;, &#x27;2020-10-31 06:50:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f5b30def-bc07-4c15-9f47-011732b2b2cd' class='xr-index-data-in' type='checkbox'/><label for='index-f5b30def-bc07-4c15-9f47-011732b2b2cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5499500.0, -5498500.0, -5497500.0, -5496500.0, -5495500.0, -5494500.0,\n",
+       "       -5493500.0, -5492500.0, -5491500.0, -5490500.0,\n",
+       "       ...\n",
+       "        5490500.0,  5491500.0,  5492500.0,  5493500.0,  5494500.0,  5495500.0,\n",
+       "        5496500.0,  5497500.0,  5498500.0,  5499500.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=11000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d16ec716-b9d6-4225-90e9-bf95fe8afc98' class='xr-index-data-in' type='checkbox'/><label for='index-d16ec716-b9d6-4225-90e9-bf95fe8afc98' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 5499500.0,  5498500.0,  5497500.0,  5496500.0,  5495500.0,  5494500.0,\n",
+       "        5493500.0,  5492500.0,  5491500.0,  5490500.0,\n",
+       "       ...\n",
+       "       -5490500.0, -5491500.0, -5492500.0, -5493500.0, -5494500.0, -5495500.0,\n",
+       "       -5496500.0, -5497500.0, -5498500.0, -5499500.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=11000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-447f0eec-02a5-49fa-aec1-ba09bad132d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-447f0eec-02a5-49fa-aec1-ba09bad132d5' class='xr-section-summary' >Attributes: <span>(53)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>acknowledgment :</span></dt><dd>See disclaimer</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>comment :</span></dt><dd>AGLS observations geometry product</dd><dt><span>contributor_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Science and Innovation, Science to Services, Weather and Environmental Prediction, Satellite Applications; Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Observing Systems and Operations, Satellite Operations</dd><dt><span>contributor_role :</span></dt><dd>Development; Operations</dd><dt><span>creator_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>creator_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Observing Systems and Operations, Satellite Operations</dd><dt><span>creator_url :</span></dt><dd>http://www.bom.gov.au/satellite/</dd><dt><span>disclaimer :</span></dt><dd>You have requested that the Bureau of Meteorology (\\&#x27;Bureau\\&#x27;) provide you with an enhanced version of satellite data, images, information or other material (\\&#x27;Material\\&#x27;).\\nYou understand that the Bureau does not operate the satellites and that the Material is subject to the uncertainties of imaging capabilities, adverse weather conditions and technical malfunction and may change without notice.\\nTo the maximum extent permitted by law, the Bureau: \\ndoes not make any representations or give any warranty that either the original Material or any Material enhanced by the Bureau is accurate, reliable, current, complete or fit for any purpose, and \\nexcludes all liability of the Bureau, and any suppliers of Material to the Bureau, for any loss, damage, cost, expense and any other consequences arising directly or indirectly from your use of the Material.</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.01</dd><dt><span>geospatial_lat_units :</span></dt><dd>degree_north</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.01</dd><dt><span>geospatial_lon_units :</span></dt><dd>degree_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>0</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>institution :</span></dt><dd>ABOM</dd><dt><span>instrument :</span></dt><dd>AHI</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>See disclaimer</dd><dt><span>naming_authority :</span></dt><dd>au.gov.bom</dd><dt><span>processing_level :</span></dt><dd>L2</dd><dt><span>product_specification :</span></dt><dd>AGLS-OBS_data-product-specification_rev01.00</dd><dt><span>project :</span></dt><dd>AGLS</dd><dt><span>publisher_email :</span></dt><dd>sat_support@bom.gov.au</dd><dt><span>publisher_name :</span></dt><dd>Commonwealth of Australia, Bureau of Meteorology, Data and Digital, Observing Systems and Operations, Satellite Operations</dd><dt><span>publisher_url :</span></dt><dd>http://www.bom.gov.au/satellite/</dd><dt><span>references :</span></dt><dd>AGLS observations product</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.6</dd><dt><span>summary :</span></dt><dd>AGLS observations product</dd><dt><span>time_coverage_duration :</span></dt><dd>P1S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>title :</span></dt><dd>AGLS observations product suite</dd><dt><span>wmo_instrument_name :</span></dt><dd>Advanced Himawari Imager</dd><dt><span>wmo_instrument_type :</span></dt><dd>297</dd><dt><span>wmo_satellite_series :</span></dt><dd>273</dd><dt><span>netCDF_version :</span></dt><dd>4.7.1 of Nov  5 2019 15:53:53 $</dd><dt><span>processing_version :</span></dt><dd>1.1</dd><dt><span>geospatial_lat_max :</span></dt><dd>81.18433</dd><dt><span>geospatial_lat_min :</span></dt><dd>-81.18433</dd><dt><span>geospatial_lon_max :</span></dt><dd>221.96158</dd><dt><span>geospatial_lon_min :</span></dt><dd>59.438427</dd><dt><span>platform :</span></dt><dd>Himawari-8</dd><dt><span>platform_launch_date :</span></dt><dd>20141007T051600Z</dd><dt><span>wmo_platform_name :</span></dt><dd>Himawari-8</dd><dt><span>wmo_satellite_number :</span></dt><dd>173</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.7 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>product_version :</span></dt><dd>1.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 6GB\n",
+       "Dimensions:                       (time: 6, y: 11000, x: 11000)\n",
+       "Coordinates:\n",
+       "  * time                          (time) datetime64[ns] 48B 2020-10-31T06:00:...\n",
+       "  * x                             (x) float64 88kB -5.5e+06 ... 5.5e+06\n",
+       "  * y                             (y) float64 88kB 5.5e+06 ... -5.5e+06\n",
+       "Data variables:\n",
+       "    channel_0002_scaled_radiance  (time, y, x) float32 3GB dask.array<chunksize=(1, 3040, 11000), meta=np.ndarray>\n",
+       "    geostationary                 (time) float32 24B 9.969e+36 ... 9.969e+36\n",
+       "    scan_line_time                (time, y) datetime64[ns] 528kB dask.array<chunksize=(1, 11000), meta=np.ndarray>\n",
+       "    channel_0001_scaled_radiance  (time, y, x) float32 3GB dask.array<chunksize=(1, 3040, 11000), meta=np.ndarray>\n",
+       "Attributes: (12/53)\n",
+       "    Conventions:                     CF-1.6\n",
+       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
+       "    acknowledgment:                  See disclaimer\n",
+       "    cdm_data_type:                   grid\n",
+       "    comment:                         AGLS observations geometry product\n",
+       "    contributor_name:                Commonwealth of Australia, Bureau of Met...\n",
+       "    ...                              ...\n",
+       "    platform:                        Himawari-8\n",
+       "    platform_launch_date:            20141007T051600Z\n",
+       "    wmo_platform_name:               Himawari-8\n",
+       "    wmo_satellite_number:            173\n",
+       "    NCO:                             netCDF Operators version 4.7.7 (Homepage...\n",
+       "    product_version:                 1.0"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = sat_accessor['20201031T06']\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1cdc15b3-9bc9-4d4f-86b2-d70847ac1ea3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "satpipe = pyearthtools.pipeline.Pipeline(\n",
+    "    sat_accessor\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4d22cd88-5e3e-4dba-a7fd-c968e730bee5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = satpipe['20201031T0600']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "2547b4a9-ee39-4059-8c51-60d226c8e725",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 12.4 s, sys: 1.72 s, total: 14.1 s\n",
+      "Wall time: 14.3 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x154b68053a90>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%time \n",
+    "#Takes a long time due to the projection involved\n",
+    "X.channel_0001_scaled_radiance.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8e5c5214-fb06-410e-a485-e0f717ce9938",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Done\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3bd68560-b629-4194-a029-2c88f5732637",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/packages/data/src/pyearthtools/data/indexes/utilities/fileload.py b/packages/data/src/pyearthtools/data/indexes/utilities/fileload.py
index 8b6f6a40..63737ced 100644
--- a/packages/data/src/pyearthtools/data/indexes/utilities/fileload.py
+++ b/packages/data/src/pyearthtools/data/indexes/utilities/fileload.py
@@ -80,7 +80,8 @@ def get_config(mf: bool = False):
 
     if isinstance(location, (tuple, list)):
         try:
-            return xr.open_mfdataset(filter_files(location), **get_config(True))
+            ds = xr.open_mfdataset(filter_files(location), **get_config(True))
+            return ds
 
         except xr.MergeError as e:
             if not soft_fail:
diff --git a/packages/nci_site_archive/src/site_archive_nci/Himawari.py b/packages/nci_site_archive/src/site_archive_nci/_Himawari.py
similarity index 53%
rename from packages/nci_site_archive/src/site_archive_nci/Himawari.py
rename to packages/nci_site_archive/src/site_archive_nci/_Himawari.py
index e9f54579..b4ede950 100644
--- a/packages/nci_site_archive/src/site_archive_nci/Himawari.py
+++ b/packages/nci_site_archive/src/site_archive_nci/_Himawari.py
@@ -21,6 +21,7 @@
 import datetime
 from glob import glob
 from pathlib import Path
+import os
 
 
 import pyearthtools.data
@@ -35,6 +36,53 @@
 SATELLITE_PATTERN = "{ROOT_DIR}/{FILE_DATE}/{FILE}"
 FILE_REGEX = "*{date_info}*{time_info}*.nc"
 
+VALID_BANDS = [
+    "BRF_B01",
+    "BRF_B02",
+    "BRF_B03",
+    "BRF_B04",
+    "BRF_B05",
+    "BRF_B06",
+    "CREFL_B01",
+    "CREFL_B02",
+    "CREFL_B03",
+    "CREFL_B04",
+    "CREFL_B05",
+    "CREFL_B06",
+    "OBS_B01",
+    "OBS_B02",
+    "OBS_B03",
+    "OBS_B04",
+    "OBS_B05",
+    "OBS_B06",
+    "OBS_B07",
+    "OBS_B08",
+    "OBS_B09",
+    "OBS_B10",
+    "OBS_B11",
+    "OBS_B12",
+    "OBS_B13",
+    "OBS_B14",
+    "OBS_B15",
+    "OBS_B16",
+]
+
+RESOLUTIONS = {"B03": 500, "B01": 1000, "B02": 1000}
+
+ANC_FILENAME = "/g/data/ra22/satellite-products/arc/obs/himawari-ahi/fldk/latest/ancillary"
+
+
+# 'GEOM_SOLAR-PRJ_GEOS141_1000-HIMAWARI9-AHI.nc
+# 'GEOM_SOLAR-PRJ_GEOS141_2000-HIMAWARI9-AHI.nc
+# 'GEOM_SOLAR-PRJ_GEOS141_500-HIMAWARI9-AHI.nc
+
+
+def check_resolution(bands: list[str]):
+    default_res = 2000
+    band_numbers = [b.split("_")[1] for b in bands]
+    res = [RESOLUTIONS.get(b, 2000) for b in band_numbers]
+    return len(set(res))
+
 
 @register_archive("Himawari")
 class Himawari(ArchiveIndex):
@@ -108,3 +156,71 @@ def filesystem(
         raise DataNotFoundError(
             f"Unable to find data for: basetime: {basetime} at {root_dir}\nAttempted to use {resolved_names}"
         )
+
+
+@register_archive("HimawariChannels")
+class HimawariChannels(ArchiveIndex):
+    """Index into Himawari 8/9 satellite data"""
+
+    @property
+    def _desc_(self):
+        return {
+            "singleline": "Himawari 8/9 satellite data",
+            "Range": "2015-current",
+            "Resolution": "10 minutes",
+        }
+
+    def __init__(
+        self,
+        *,
+        bands: list[str] | None = None,
+        transforms: Transform | TransformCollection | None = None,
+    ):
+        """
+        Setup Satellite Indexer
+
+        Args:
+            bands: Which variables to retrieve, can be None to get all. Defaults to None. e.g. 'OBS_B08'
+            transforms (Transform | TransformCollection, optional):
+                Base Transforms to apply. Defaults to TransformCollection().
+        """
+        check_project(project_code="ra22")
+        data_interval = (10, "m")
+
+        if not all([b in VALID_BANDS for b in bands]):
+            raise ValueError("Not all specified bands are valid, please review the requested bands")
+
+        if check_resolution(bands) != 1:
+            raise ValueError(
+                "Bands specified are at incompatible resolutions, please request each resolution set separately"
+            )
+
+        self.bands = bands
+        base_transform = pyearthtools.data.transforms.variables.Trim(bands) + (transforms or TransformCollection())
+        super().__init__(transforms=base_transform, data_interval=data_interval)
+        self.record_initialisation()
+
+    def filesystem(
+        self,
+        basetime: str | datetime.datetime | Petdt,
+    ):
+        """
+        The resolution on disk is per ten minutes, so match the basetime based on that (i.e. no need to match by hour)
+        """
+        root_dir = self.ROOT_DIRECTORIES["HimawariChannels"]
+        basetime = Petdt(basetime)
+        lastbit = f"{basetime.hour}{basetime.minute}"
+
+        segment = f"{basetime.year}/{basetime.month:02}/{basetime.day:02}/{basetime.hour:02}{basetime.minute:02}"
+        files = os.listdir(root_dir + segment)
+        files_that_match_bands = [f for f in files if any([b in f for b in self.bands])]
+        files_that_match_bands = [f"{root_dir}/{segment}/{f}" for f in files_that_match_bands]
+
+        # import pudb; pudb.set_trace()
+
+        if not files_that_match_bands:
+            raise DataNotFoundError(
+                f"Unable to find data for: basetime: {basetime} at {root_dir}\nAttempted to use {resolved_names}"
+            )
+
+        return files_that_match_bands
diff --git a/packages/nci_site_archive/src/site_archive_nci/__init__.py b/packages/nci_site_archive/src/site_archive_nci/__init__.py
index 7f168044..cb14b64f 100644
--- a/packages/nci_site_archive/src/site_archive_nci/__init__.py
+++ b/packages/nci_site_archive/src/site_archive_nci/__init__.py
@@ -45,6 +45,7 @@
     "AGCD": "/g/data/zv2/agcd/v1",
     "ERA5": "/g/data/rt52/era5/{level}-levels/{resolution}/",
     "Himawari": "/g/data/rv74/satellite-products/arc/der/himawari-ahi/solar/p1s/latest/",
+    "HimawariChannels": "/g/data/ra22/satellite-products/arc/obs/himawari-ahi/fldk/latest/",
     "BRAN": "/g/data/gb6/BRAN/BRAN2020/",
     "OceanMaps": "/g/data/rr6/OceanMAPS/",
     "MODIS": "/g/data/fj4/MODIS_LAI/{region}/nc/",
@@ -69,7 +70,8 @@
 from site_archive_nci.ERA5 import ERA5
 from site_archive_nci.MODIS import MODIS
 from site_archive_nci.OceanMaps import OceanMaps
-from site_archive_nci.Himawari import Himawari
+from site_archive_nci._Himawari import Himawari
+from site_archive_nci._Himawari import HimawariChannels
 from site_archive_nci._CMIP5 import CMIP5
 from site_archive_nci._Rainfields3 import Rainfields3
 
diff --git a/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/normalisation.py b/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/normalisation.py
index 536c0f8b..66fb9df5 100644
--- a/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/normalisation.py
+++ b/packages/pipeline/src/pyearthtools/pipeline/operations/xarray/normalisation.py
@@ -185,6 +185,22 @@ def denormalise(self, sample):
         return sample * self.division_factor
 
 
+class SingleValueDivision(xarrayNormalisation):
+    """Division based Normalisation"""
+
+    def __init__(self, division_factor: float):
+        super().__init__()
+        self.record_initialisation()
+
+        self.division_factor = division_factor
+
+    def normalise(self, sample):
+        return sample / self.division_factor
+
+    def denormalise(self, sample):
+        return sample * self.division_factor
+
+
 @BackwardsCompatibility(Division)
 def TemporalDifference(*a, **k): ...
 
diff --git a/packages/zoo/src/pyearthtools/zoo/utils.py b/packages/zoo/src/pyearthtools/zoo/utils.py
index 4d5c2b5d..403c9b0b 100644
--- a/packages/zoo/src/pyearthtools/zoo/utils.py
+++ b/packages/zoo/src/pyearthtools/zoo/utils.py
@@ -573,6 +573,7 @@ class TabCompleter:
     """
     A tab completer that can either complete from the filesystem or from a list.
     """
+
     # Partially taken from http://stackoverflow.com/questions/5637124/tab-completion-in-pythons-raw-input
     # From https://gist.github.com/iamatypeofwalrus/5637895