diff --git a/DEA_products/DEA_Water_Observations.ipynb b/DEA_products/DEA_Water_Observations.ipynb
index ce36c226..d1e6183d 100644
--- a/DEA_products/DEA_Water_Observations.ipynb
+++ b/DEA_products/DEA_Water_Observations.ipynb
@@ -172,8 +172,8 @@
        "      <td>ga_ls_wo_3</td>\n",
        "      <td>Geoscience Australia Landsat Water Observation...</td>\n",
        "      <td>CC-BY-4.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>EPSG:3577</td>\n",
+       "      <td>Resolution(x=30, y=-30)</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -184,9 +184,9 @@
        "name                                                                        \n",
        "ga_ls_wo_3  ga_ls_wo_3  Geoscience Australia Landsat Water Observation...   \n",
        "\n",
-       "              license default_crs default_resolution  \n",
-       "name                                                  \n",
-       "ga_ls_wo_3  CC-BY-4.0        None               None  "
+       "              license default_crs       default_resolution  \n",
+       "name                                                        \n",
+       "ga_ls_wo_3  CC-BY-4.0   EPSG:3577  Resolution(x=30, y=-30)  "
       ]
      },
      "execution_count": 3,
@@ -357,27 +357,76 @@
        " */\n",
        "\n",
        ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
        "}\n",
        "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
        "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        ".xr-wrap {\n",
@@ -418,7 +467,7 @@
        ".xr-sections {\n",
        "  padding-left: 0 !important;\n",
        "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
        "}\n",
        "\n",
        ".xr-section-item {\n",
@@ -426,11 +475,14 @@
        "}\n",
        "\n",
        ".xr-section-item input {\n",
-       "  display: none;\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
        "}\n",
        "\n",
        ".xr-section-item input + label {\n",
        "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label {\n",
@@ -438,6 +490,10 @@
        "  color: var(--xr-font-color2);\n",
        "}\n",
        "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
        ".xr-section-item input:enabled + label:hover {\n",
        "  color: var(--xr-font-color0);\n",
        "}\n",
@@ -459,7 +515,7 @@
        "\n",
        ".xr-section-summary-in + label:before {\n",
        "  display: inline-block;\n",
-       "  content: '►';\n",
+       "  content: \"►\";\n",
        "  font-size: 11px;\n",
        "  width: 15px;\n",
        "  text-align: center;\n",
@@ -470,7 +526,7 @@
        "}\n",
        "\n",
        ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
+       "  content: \"▼\";\n",
        "}\n",
        "\n",
        ".xr-section-summary-in:checked + label > span {\n",
@@ -542,15 +598,15 @@
        "}\n",
        "\n",
        ".xr-dim-list:before {\n",
-       "  content: '(';\n",
+       "  content: \"(\";\n",
        "}\n",
        "\n",
        ".xr-dim-list:after {\n",
-       "  content: ')';\n",
+       "  content: \")\";\n",
        "}\n",
        "\n",
        ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
+       "  content: \",\";\n",
        "  padding-right: 5px;\n",
        "}\n",
        "\n",
@@ -567,7 +623,9 @@
        ".xr-var-item label,\n",
        ".xr-var-item > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
        "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
        "}\n",
        "\n",
        ".xr-var-item > .xr-var-name:hover span {\n",
@@ -578,6 +636,7 @@
        ".xr-var-list > li:nth-child(odd) > label,\n",
        ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
        "}\n",
        "\n",
        ".xr-var-name {\n",
@@ -627,8 +686,15 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
        "}\n",
        "\n",
        ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -641,6 +707,12 @@
        "  float: right;\n",
        "}\n",
        "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
        ".xr-var-name span,\n",
        ".xr-var-data,\n",
        ".xr-index-name div,\n",
@@ -700,22 +772,32 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 425kB\n",
        "Dimensions:      (time: 8, y: 245, x: 215)\n",
        "Coordinates:\n",
-       "  * time         (time) datetime64[ns] 1996-09-05T01:22:13.540962 ... 1996-12...\n",
-       "  * y            (y) float64 -3.473e+06 -3.473e+06 ... -3.48e+06 -3.48e+06\n",
-       "  * x            (x) float64 -1.428e+06 -1.428e+06 ... -1.422e+06 -1.422e+06\n",
-       "    spatial_ref  int32 3577\n",
+       "  * time         (time) datetime64[ns] 64B 1996-09-05T01:22:13.540962 ... 199...\n",
+       "  * y            (y) float64 2kB -3.473e+06 -3.473e+06 ... -3.48e+06 -3.48e+06\n",
+       "  * x            (x) float64 2kB -1.428e+06 -1.428e+06 ... -1.422e+06 -1.422e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
        "Data variables:\n",
-       "    water        (time, y, x) uint8 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
+       "    water        (time, y, x) uint8 421kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
        "Attributes:\n",
        "    crs:           EPSG:3577\n",
-       "    grid_mapping:  spatial_ref</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-78858cd9-6e27-4b62-a307-912f016b8fe9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78858cd9-6e27-4b62-a307-912f016b8fe9' 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>: 8</li><li><span class='xr-has-index'>y</span>: 245</li><li><span class='xr-has-index'>x</span>: 215</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-551d1320-1b08-472c-95e6-ffb2b909b22d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-551d1320-1b08-472c-95e6-ffb2b909b22d' class='xr-section-summary' >Coordinates: <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 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'>1996-09-05T01:22:13.540962 ... 1...</div><input id='attrs-8bb24a41-ef6a-4067-b575-d1c560a497c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bb24a41-ef6a-4067-b575-d1c560a497c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-527c5c6b-2186-4118-935e-7111cc0707cd' class='xr-var-data-in' type='checkbox'><label for='data-527c5c6b-2186-4118-935e-7111cc0707cd' 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>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1996-09-05T01:22:13.540962000&#x27;, &#x27;1996-09-21T01:23:06.274087000&#x27;,\n",
+       "    grid_mapping:  spatial_ref</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-8e0c4909-a1ca-44d2-bbbb-20dee3be24e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e0c4909-a1ca-44d2-bbbb-20dee3be24e3' 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>: 8</li><li><span class='xr-has-index'>y</span>: 245</li><li><span class='xr-has-index'>x</span>: 215</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cdd67a15-9554-4f79-ad8a-501c3a4cda15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdd67a15-9554-4f79-ad8a-501c3a4cda15' class='xr-section-summary' >Coordinates: <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 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'>1996-09-05T01:22:13.540962 ... 1...</div><input id='attrs-ea3865f4-5102-4ae1-8824-53f38f906b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea3865f4-5102-4ae1-8824-53f38f906b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9168580d-77ca-4187-ac3c-6ecc9d6563ed' class='xr-var-data-in' type='checkbox'><label for='data-9168580d-77ca-4187-ac3c-6ecc9d6563ed' 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>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1996-09-05T01:22:13.540962000&#x27;, &#x27;1996-09-21T01:23:06.274087000&#x27;,\n",
        "       &#x27;1996-10-07T01:23:56.884548000&#x27;, &#x27;1996-10-23T01:24:45.311417000&#x27;,\n",
        "       &#x27;1996-11-08T01:25:31.158723000&#x27;, &#x27;1996-11-24T01:26:39.802647000&#x27;,\n",
        "       &#x27;1996-12-10T01:27:02.245199000&#x27;, &#x27;1996-12-26T01:27:47.861767000&#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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.473e+06 -3.473e+06 ... -3.48e+06</div><input id='attrs-5716da93-2a8a-4356-ac26-ddd2f0f27616' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5716da93-2a8a-4356-ac26-ddd2f0f27616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3105110a-036e-4796-95f6-88b02d598934' class='xr-var-data-in' type='checkbox'><label for='data-3105110a-036e-4796-95f6-88b02d598934' 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>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-30.0</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd></dl></div><div class='xr-var-data'><pre>array([-3472995., -3473025., -3473055., ..., -3480255., -3480285., -3480315.])</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'>-1.428e+06 ... -1.422e+06</div><input id='attrs-b3f8b6cf-c490-4f7e-bb98-85580d952db6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3f8b6cf-c490-4f7e-bb98-85580d952db6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a20286-c219-46b1-bc6b-4b704e0db21f' class='xr-var-data-in' type='checkbox'><label for='data-26a20286-c219-46b1-bc6b-4b704e0db21f' 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>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>30.0</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd></dl></div><div class='xr-var-data'><pre>array([-1428135., -1428105., -1428075., ..., -1421775., -1421745., -1421715.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3577</div><input id='attrs-fac964e9-c884-4c40-abe8-70f9b3f6c5c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac964e9-c884-4c40-abe8-70f9b3f6c5c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85fec6a6-9b87-416f-8bd8-bfc6ae92a97e' class='xr-var-data-in' type='checkbox'><label for='data-85fec6a6-9b87-416f-8bd8-bfc6ae92a97e' 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>spatial_ref :</span></dt><dd>PROJCS[&quot;GDA94 / Australian Albers&quot;,GEOGCS[&quot;GDA94&quot;,DATUM[&quot;Geocentric_Datum_of_Australia_1994&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6283&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4283&quot;]],PROJECTION[&quot;Albers_Conic_Equal_Area&quot;],PARAMETER[&quot;latitude_of_center&quot;,0],PARAMETER[&quot;longitude_of_center&quot;,132],PARAMETER[&quot;standard_parallel_1&quot;,-18],PARAMETER[&quot;standard_parallel_2&quot;,-36],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;3577&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>albers_conical_equal_area</dd></dl></div><div class='xr-var-data'><pre>array(3577, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a046f913-1fc1-4d34-8c72-43967e1776fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a046f913-1fc1-4d34-8c72-43967e1776fe' class='xr-section-summary' >Data variables: <span>(1)</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>water</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-04d64e5e-711c-49a7-983d-ad7c324a01ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04d64e5e-711c-49a7-983d-ad7c324a01ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3caaf147-2cab-4876-b3e2-54d22666c2c3' class='xr-var-data-in' type='checkbox'><label for='data-3caaf147-2cab-4876-b3e2-54d22666c2c3' 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>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>1</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;dry&#x27;: {&#x27;bits&#x27;: [7, 6, 5, 4, 3, 2, 1, 0], &#x27;values&#x27;: {&#x27;0&#x27;: True}, &#x27;description&#x27;: &#x27;No water detected&#x27;}, &#x27;wet&#x27;: {&#x27;bits&#x27;: [7, 6, 5, 4, 3, 2, 1, 0], &#x27;values&#x27;: {&#x27;128&#x27;: True}, &#x27;description&#x27;: &#x27;Clear and Wet&#x27;}, &#x27;cloud&#x27;: {&#x27;bits&#x27;: 6, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Cloudy&#x27;}, &#x27;nodata&#x27;: {&#x27;bits&#x27;: 0, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;No data&#x27;}, &#x27;high_slope&#x27;: {&#x27;bits&#x27;: 4, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;High slope&#x27;}, &#x27;cloud_shadow&#x27;: {&#x27;bits&#x27;: 5, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Cloud shadow&#x27;}, &#x27;noncontiguous&#x27;: {&#x27;bits&#x27;: 1, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;At least one EO band is missing or saturated&#x27;}, &#x27;terrain_shadow&#x27;: {&#x27;bits&#x27;: 3, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Terrain shadow&#x27;}, &#x27;water_observed&#x27;: {&#x27;bits&#x27;: 7, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Classified as water by the decision tree&#x27;}, &#x27;low_solar_angle&#x27;: {&#x27;bits&#x27;: 2, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Low solar incidence angle&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0,  0,  0, ...,  0,  0,  0],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>-3.473e+06 -3.473e+06 ... -3.48e+06</div><input id='attrs-b2f6ef1a-b316-4e06-91ca-4fba81e3e99d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2f6ef1a-b316-4e06-91ca-4fba81e3e99d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa567604-4534-4051-a3ef-ac465c278cb7' class='xr-var-data-in' type='checkbox'><label for='data-fa567604-4534-4051-a3ef-ac465c278cb7' 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>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-30.0</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd></dl></div><div class='xr-var-data'><pre>array([-3472995., -3473025., -3473055., ..., -3480255., -3480285., -3480315.],\n",
+       "      shape=(245,))</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'>-1.428e+06 ... -1.422e+06</div><input id='attrs-4456a508-9a2a-4aec-aec3-d934a77fba8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4456a508-9a2a-4aec-aec3-d934a77fba8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4484bc53-e897-42e7-be29-6889fa0c79cd' class='xr-var-data-in' type='checkbox'><label for='data-4484bc53-e897-42e7-be29-6889fa0c79cd' 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>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>30.0</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd></dl></div><div class='xr-var-data'><pre>array([-1428135., -1428105., -1428075., ..., -1421775., -1421745., -1421715.],\n",
+       "      shape=(215,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3577</div><input id='attrs-cdd513f1-497f-46a7-9e8f-ef0c7a13518b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdd513f1-497f-46a7-9e8f-ef0c7a13518b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8998af88-10ef-4c79-ba94-5d5670e35b0d' class='xr-var-data-in' type='checkbox'><label for='data-8998af88-10ef-4c79-ba94-5d5670e35b0d' 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>spatial_ref :</span></dt><dd>PROJCRS[&quot;GDA94 / Australian Albers&quot;,BASEGEOGCRS[&quot;GDA94&quot;,DATUM[&quot;Geocentric Datum of Australia 1994&quot;,ELLIPSOID[&quot;GRS 1980&quot;,6378137,298.257222101,LENGTHUNIT[&quot;metre&quot;,1]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4283]],CONVERSION[&quot;Australian Albers&quot;,METHOD[&quot;Albers Equal Area&quot;,ID[&quot;EPSG&quot;,9822]],PARAMETER[&quot;Latitude of false origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,132,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,-18,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,-36,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8824]],PARAMETER[&quot;Easting at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8826]],PARAMETER[&quot;Northing at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8827]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Statistical analysis.&quot;],AREA[&quot;Australia - Australian Capital Territory; New South Wales; Northern Territory; Queensland; South Australia; Tasmania; Western Australia; Victoria.&quot;],BBOX[-43.7,112.85,-9.86,153.69]],ID[&quot;EPSG&quot;,3577]]</dd><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;GDA94 / Australian Albers&quot;,BASEGEOGCRS[&quot;GDA94&quot;,DATUM[&quot;Geocentric Datum of Australia 1994&quot;,ELLIPSOID[&quot;GRS 1980&quot;,6378137,298.257222101,LENGTHUNIT[&quot;metre&quot;,1]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4283]],CONVERSION[&quot;Australian Albers&quot;,METHOD[&quot;Albers Equal Area&quot;,ID[&quot;EPSG&quot;,9822]],PARAMETER[&quot;Latitude of false origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,132,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,-18,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,-36,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8824]],PARAMETER[&quot;Easting at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8826]],PARAMETER[&quot;Northing at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8827]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Statistical analysis.&quot;],AREA[&quot;Australia - Australian Capital Territory; New South Wales; Northern Territory; Queensland; South Australia; Tasmania; Western Australia; Victoria.&quot;],BBOX[-43.7,112.85,-9.86,153.69]],ID[&quot;EPSG&quot;,3577]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>GDA94</dd><dt><span>horizontal_datum_name :</span></dt><dd>Geocentric Datum of Australia 1994</dd><dt><span>projected_crs_name :</span></dt><dd>GDA94 / Australian Albers</dd><dt><span>grid_mapping_name :</span></dt><dd>albers_conical_equal_area</dd><dt><span>standard_parallel :</span></dt><dd>(-18.0, -36.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>132.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>GeoTransform :</span></dt><dd>-1428150 30 0 -3472980 0 -30</dd></dl></div><div class='xr-var-data'><pre>array(3577, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec0ed74e-8ff4-411a-bf90-0b2e93293d4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec0ed74e-8ff4-411a-bf90-0b2e93293d4f' class='xr-section-summary' >Data variables: <span>(1)</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>water</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-51370b0c-1d4d-425d-b442-e30e715a483d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51370b0c-1d4d-425d-b442-e30e715a483d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5bad44e-0437-4c58-9dbe-885546000609' class='xr-var-data-in' type='checkbox'><label for='data-e5bad44e-0437-4c58-9dbe-885546000609' 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>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>1</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;dry&#x27;: {&#x27;bits&#x27;: [7, 6, 5, 4, 3, 2, 1, 0], &#x27;values&#x27;: {&#x27;0&#x27;: True}, &#x27;description&#x27;: &#x27;No water detected&#x27;}, &#x27;wet&#x27;: {&#x27;bits&#x27;: [7, 6, 5, 4, 3, 2, 1, 0], &#x27;values&#x27;: {&#x27;128&#x27;: True}, &#x27;description&#x27;: &#x27;Clear and Wet&#x27;}, &#x27;cloud&#x27;: {&#x27;bits&#x27;: 6, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Cloudy&#x27;}, &#x27;nodata&#x27;: {&#x27;bits&#x27;: 0, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;No data&#x27;}, &#x27;high_slope&#x27;: {&#x27;bits&#x27;: 4, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;High slope&#x27;}, &#x27;cloud_shadow&#x27;: {&#x27;bits&#x27;: 5, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Cloud shadow&#x27;}, &#x27;noncontiguous&#x27;: {&#x27;bits&#x27;: 1, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;At least one EO band is missing or saturated&#x27;}, &#x27;terrain_shadow&#x27;: {&#x27;bits&#x27;: 3, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Terrain shadow&#x27;}, &#x27;water_observed&#x27;: {&#x27;bits&#x27;: 7, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Classified as water by the decision tree&#x27;}, &#x27;low_solar_angle&#x27;: {&#x27;bits&#x27;: 2, &#x27;values&#x27;: {&#x27;0&#x27;: False, &#x27;1&#x27;: True}, &#x27;description&#x27;: &#x27;Low solar incidence angle&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:3577</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0,  0,  0, ...,  0,  0,  0],\n",
        "        [ 0,  0,  0, ...,  0,  0,  0],\n",
        "        [ 0,  0,  0, ...,  0,  0,  0],\n",
        "        ...,\n",
@@ -755,32 +837,32 @@
        "        ...,\n",
        "        [ 0,  0,  0, ...,  0,  0,  0],\n",
        "        [ 0,  0,  0, ...,  0,  0,  0],\n",
-       "        [ 0,  0,  0, ...,  0,  0,  0]]], dtype=uint8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4d1fae1-1a2c-4fd0-ad36-954459f2b03c' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4d1fae1-1a2c-4fd0-ad36-954459f2b03c' 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><div></div><input id='index-fc483874-7d31-48e5-b7bf-2a1562ca05cb' class='xr-index-data-in' type='checkbox'/><label for='index-fc483874-7d31-48e5-b7bf-2a1562ca05cb' 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;1996-09-05 01:22:13.540962&#x27;, &#x27;1996-09-21 01:23:06.274087&#x27;,\n",
+       "        [ 0,  0,  0, ...,  0,  0,  0]]], shape=(8, 245, 215), dtype=uint8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b854b2b6-a384-4c23-9ae3-ba89bb436e6e' class='xr-section-summary-in' type='checkbox'  ><label for='section-b854b2b6-a384-4c23-9ae3-ba89bb436e6e' 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-9c18b886-76bf-42b1-9862-834a28554d39' class='xr-index-data-in' type='checkbox'/><label for='index-9c18b886-76bf-42b1-9862-834a28554d39' 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;1996-09-05 01:22:13.540962&#x27;, &#x27;1996-09-21 01:23:06.274087&#x27;,\n",
        "               &#x27;1996-10-07 01:23:56.884548&#x27;, &#x27;1996-10-23 01:24:45.311417&#x27;,\n",
        "               &#x27;1996-11-08 01:25:31.158723&#x27;, &#x27;1996-11-24 01:26:39.802647&#x27;,\n",
        "               &#x27;1996-12-10 01:27:02.245199&#x27;, &#x27;1996-12-26 01:27:47.861767&#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>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-abf8b11b-fc75-4fd9-83c6-7a294330e914' class='xr-index-data-in' type='checkbox'/><label for='index-abf8b11b-fc75-4fd9-83c6-7a294330e914' 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(Float64Index([-3472995.0, -3473025.0, -3473055.0, -3473085.0, -3473115.0,\n",
-       "              -3473145.0, -3473175.0, -3473205.0, -3473235.0, -3473265.0,\n",
-       "              ...\n",
-       "              -3480045.0, -3480075.0, -3480105.0, -3480135.0, -3480165.0,\n",
-       "              -3480195.0, -3480225.0, -3480255.0, -3480285.0, -3480315.0],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=245))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79c84f23-7bb7-424d-95a4-6f6288f15dca' class='xr-index-data-in' type='checkbox'/><label for='index-79c84f23-7bb7-424d-95a4-6f6288f15dca' 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(Float64Index([-1428135.0, -1428105.0, -1428075.0, -1428045.0, -1428015.0,\n",
-       "              -1427985.0, -1427955.0, -1427925.0, -1427895.0, -1427865.0,\n",
-       "              ...\n",
-       "              -1421985.0, -1421955.0, -1421925.0, -1421895.0, -1421865.0,\n",
-       "              -1421835.0, -1421805.0, -1421775.0, -1421745.0, -1421715.0],\n",
-       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=215))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ed09983-a354-45e0-8659-c54f1b183b38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ed09983-a354-45e0-8659-c54f1b183b38' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:3577</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+       "              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>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d4db98e5-e74c-4afd-ba3e-00311767e327' class='xr-index-data-in' type='checkbox'/><label for='index-d4db98e5-e74c-4afd-ba3e-00311767e327' 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([-3472995.0, -3473025.0, -3473055.0, -3473085.0, -3473115.0, -3473145.0,\n",
+       "       -3473175.0, -3473205.0, -3473235.0, -3473265.0,\n",
+       "       ...\n",
+       "       -3480045.0, -3480075.0, -3480105.0, -3480135.0, -3480165.0, -3480195.0,\n",
+       "       -3480225.0, -3480255.0, -3480285.0, -3480315.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=245))</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-ad2b446c-a815-48a6-bfb1-aaefd244effb' class='xr-index-data-in' type='checkbox'/><label for='index-ad2b446c-a815-48a6-bfb1-aaefd244effb' 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([-1428135.0, -1428105.0, -1428075.0, -1428045.0, -1428015.0, -1427985.0,\n",
+       "       -1427955.0, -1427925.0, -1427895.0, -1427865.0,\n",
+       "       ...\n",
+       "       -1421985.0, -1421955.0, -1421925.0, -1421895.0, -1421865.0, -1421835.0,\n",
+       "       -1421805.0, -1421775.0, -1421745.0, -1421715.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=215))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e31b37a9-c630-45b2-b395-133451e324f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e31b37a9-c630-45b2-b395-133451e324f1' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:3577</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset>\n",
+       "<xarray.Dataset> Size: 425kB\n",
        "Dimensions:      (time: 8, y: 245, x: 215)\n",
        "Coordinates:\n",
-       "  * time         (time) datetime64[ns] 1996-09-05T01:22:13.540962 ... 1996-12...\n",
-       "  * y            (y) float64 -3.473e+06 -3.473e+06 ... -3.48e+06 -3.48e+06\n",
-       "  * x            (x) float64 -1.428e+06 -1.428e+06 ... -1.422e+06 -1.422e+06\n",
-       "    spatial_ref  int32 3577\n",
+       "  * time         (time) datetime64[ns] 64B 1996-09-05T01:22:13.540962 ... 199...\n",
+       "  * y            (y) float64 2kB -3.473e+06 -3.473e+06 ... -3.48e+06 -3.48e+06\n",
+       "  * x            (x) float64 2kB -1.428e+06 -1.428e+06 ... -1.422e+06 -1.422e+06\n",
+       "    spatial_ref  int32 4B 3577\n",
        "Data variables:\n",
-       "    water        (time, y, x) uint8 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0\n",
+       "    water        (time, y, x) uint8 421kB 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
        "Attributes:\n",
        "    crs:           EPSG:3577\n",
        "    grid_mapping:  spatial_ref"
@@ -811,7 +893,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f9c98ce1b80>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fe6dd6e7ee0>"
       ]
      },
      "execution_count": 7,
@@ -820,7 +902,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1700x800 with 9 Axes>"
       ]
@@ -1013,7 +1095,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f9c96c51ac0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fe6dc6ad6c0>"
       ]
      },
      "execution_count": 9,
@@ -1022,7 +1104,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1700x800 with 9 Axes>"
       ]
@@ -1074,7 +1156,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f9c97ae8190>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fe6dda56b90>"
       ]
      },
      "execution_count": 10,
@@ -1083,7 +1165,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1700x800 with 9 Axes>"
       ]
@@ -1117,7 +1199,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f9c96e80880>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fe6db6269e0>"
       ]
      },
      "execution_count": 11,
@@ -1126,7 +1208,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1700x800 with 9 Axes>"
       ]
@@ -1158,7 +1240,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f9c95675670>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fe6d9add990>"
       ]
      },
      "execution_count": 12,
@@ -1167,7 +1249,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 2100x1000 with 9 Axes>"
       ]
@@ -1212,7 +1294,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 666.667x500 with 2 Axes>"
       ]
@@ -1257,7 +1339,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 666.667x500 with 1 Axes>"
       ]
@@ -1293,7 +1375,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f9c95306fd0>]"
+       "[<matplotlib.lines.Line2D at 0x7fe6dc48fd60>]"
       ]
      },
      "execution_count": 15,
@@ -1302,7 +1384,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 666.667x500 with 1 Axes>"
       ]
@@ -1336,7 +1418,7 @@
     "**Contact:** If you need assistance, please post a question on the [Open Data Cube Discord chat](https://discord.com/invite/4hhBQVas5U) or on the [GIS Stack Exchange](https://gis.stackexchange.com/questions/ask?tags=open-data-cube) using the `open-data-cube` tag (you can view previously asked questions [here](https://gis.stackexchange.com/questions/tagged/open-data-cube)).\n",
     "If you would like to report an issue with this notebook, you can file one on [GitHub](https://github.com/GeoscienceAustralia/dea-notebooks).\n",
     "\n",
-    "**Last modified:** December 2023\n",
+    "**Last modified:** April 2026\n",
     "\n",
     "**Compatible datacube version:** "
    ]
@@ -1350,7 +1432,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1.8.13\n"
+      "1.9.10\n"
      ]
     }
    ],
@@ -1392,7 +1474,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.18"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/Tools/dea_tools/plotting.py b/Tools/dea_tools/plotting.py
index 1319ad23..c9352d48 100644
--- a/Tools/dea_tools/plotting.py
+++ b/Tools/dea_tools/plotting.py
@@ -34,12 +34,13 @@
 from shapely.geometry import box
 import matplotlib.pyplot as plt
 from matplotlib import colors as mcolours
+import matplotlib.patches as mpatches
 import matplotlib.patheffects as PathEffects
 from matplotlib.animation import FuncAnimation
 
 from skimage.exposure import rescale_intensity
 from dea_tools.spatial import add_geobox
-
+from datacube.utils import masking
 
 def rgb(
     ds,
@@ -826,49 +827,38 @@ def plot_wo(wo, legend=True, **plot_kwargs):
     -------
     plot
     """
-    cmap = mcolours.ListedColormap(
-        [
-            np.array([150, 150, 110]) / 255,  # dry - 0
-            np.array([0, 0, 0]) / 255,  # nodata, - 1
-            np.array([119, 104, 87]) / 255,  # terrain - 16
-            np.array([89, 88, 86]) / 255,  # cloud_shadow - 32
-            np.array([216, 215, 214]) / 255,  # cloud - 64
-            np.array([242, 220, 180]) / 255,  # cloudy terrain - 80
-            np.array([79, 129, 189]) / 255,  # water - 128
-            np.array([51, 82, 119]) / 255,  # shady water - 160
-            np.array([186, 211, 242]) / 255,  # cloudy water - 192
-        ]
-    )
-    bounds = [
-        0,
-        1,
-        16,
-        32,
-        64,
-        80,
-        128,
-        160,
-        192,
-        255,
-    ]
+    # first, mask non-contiguous pixels (i.e., where not all bands have valid data)
+    contig_mask = masking.make_mask(wo, noncontiguous=False)   # boolean
+    wo = wo.where(contig_mask) 
+
+    # map classes and colours
+    wo_classes = {
+        0:   ("Dry",                     np.array([150, 150, 110]) / 255),
+        1:   ("No Data",                 np.array([0, 0, 0]) / 255),
+        8:   ("Terrain Shadow",          np.array([(63, 54, 46)]) / 255),
+        16:  ("High Slope",              np.array([119, 104, 87]) / 255),
+        32:  ("Cloud Shadow",            np.array([89, 88, 86]) / 255),
+        64:  ("Cloud",                   np.array([216, 215, 214]) / 255),
+        128: ("Water",                   np.array([79, 129, 189]) / 255),
+        160: ("Water and Cloud Shadow",  np.array([51, 82, 119]) / 255),
+        192: ("Water and Cloud",         np.array([186, 211, 242]) / 255),
+    }
+
+    # define a colour map and bounds of pixel values to assing to each colour
+    values = sorted(wo_classes.keys())
+    colours = [wo_classes[v][1] for v in values]
+
+    cmap = mcolours.ListedColormap(colours)
+    bounds = values + [255]
     norm = mcolours.BoundaryNorm(np.array(bounds) - 0.1, cmap.N)
-    cblabels = [
-        "dry",
-        "nodata",
-        "terrain",
-        "cloud shadow",
-        "cloud",
-        "cloudy terrain",
-        "water",
-        "shady water",
-        "cloudy water",
-    ]
 
+    # plot
     try:
-        im = wo.plot.imshow(cmap=cmap, norm=norm, add_colorbar=legend, **plot_kwargs)
+        im = wo.plot.imshow(cmap=cmap, norm=norm, add_colorbar=legend, **plot_kwargs) 
     except AttributeError:
         im = wo.plot(cmap=cmap, norm=norm, add_colorbar=legend, **plot_kwargs)
 
+    # fix colourbar ticks + labels
     if legend:
         try:
             cb = im.colorbar
@@ -876,7 +866,9 @@ def plot_wo(wo, legend=True, **plot_kwargs):
             cb = im.cbar
         ticks = cb.get_ticks()
         cb.set_ticks(ticks[:-1] + np.diff(ticks) / 2)
+        cblabels = [wo_classes[v][0] for v in values]
         cb.set_ticklabels(cblabels)
+
     return im