diff --git a/python/Sentinel1_Stats/Sentinel1_Stats.ipynb b/python/Sentinel1_Stats/Sentinel1_Stats.ipynb
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@@ -0,0 +1,2361 @@
+{
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+   "cell_type": "markdown",
+   "id": "0021d684-bcc4-4e68-af6a-2655994d63c1",
+   "metadata": {},
+   "source": [
+    "# Publishing an openEO process as a service \n",
+    "\n",
+    "In this notebook, we want to show how to create an openEO User Defined Process(UDP). Here, we make use of an apply_dimension process that applies a process to all values along a dimension of a data cube.\n",
+    "\n",
+    "The notebook involves a section on creating a concrete datacube, inspecting netCDF downloads, and developing a parameterized version stored as a UDP. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "0dd19e44-9500-42dc-9c59-3b88dbab70b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openeo\n",
+    "import xarray\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from openeo.processes import array_create, array_concat, ProcessBuilder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8be7515b-d3e2-4e3c-bbf5-16a4c46329b3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set some defaults for plots\n",
+    "plt.rcParams[\"figure.figsize\"] = [5.0, 3.0]\n",
+    "plt.rcParams[\"figure.dpi\"] = 75"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8407f00-c851-4ba7-833e-07b46e5ab54a",
+   "metadata": {},
+   "source": [
+    "Connect to the openEO Platform backend (at [openeo.cloud](https://openeo.cloud/)) and authenticate with OIDC."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c9138f1c-e273-4c14-8705-44d7cfa59c7b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Authenticated using refresh token.\n"
+     ]
+    }
+   ],
+   "source": [
+    "connection = openeo.connect(\"openeo.cloud\").authenticate_oidc()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9223d5f-9d65-4dfd-acca-e3ca80ddc9f6",
+   "metadata": {},
+   "source": [
+    "## Inspect raw data\n",
+    "\n",
+    "Load initial data cube with raw `S1_GRD_SIGMA0_ASCENDING` data for a certain spatio-temporal extent."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "30ebbc87-07a9-4b41-82fb-969eb9048d22",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "spatial_extent = {\"west\": 8.82, \"south\": 44.40, \"east\": 8.92, \"north\": 44.45}\n",
+    "temporal_extent = [\"2023-05-01\", \"2023-07-30\"]\n",
+    "\n",
+    "s1_raw = connection.load_collection(\n",
+    "    collection_id=\"S1_GRD_SIGMA0_ASCENDING\",\n",
+    "    temporal_extent=temporal_extent,\n",
+    "    spatial_extent=spatial_extent,\n",
+    "    bands=[\"VH\", \"VV\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cb1eb2d8-5814-4eb6-9e4a-2c0ff9e7ea8a",
+   "metadata": {},
+   "source": [
+    "Download this data cube synchronously as a netCDF file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "91cb399a-d88e-409f-afb7-e14b448b5db0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 181 ms, sys: 201 ms, total: 382 ms\n",
+      "Wall time: 30.2 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "s1_raw.download(\"s1sar-raw.nc\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "096ae68c-362e-4190-9d9e-b7e367cc2abb",
+   "metadata": {},
+   "outputs": [
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+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform</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-0777b896-4141-4820-af0a-413e07d25b36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0777b896-4141-4820-af0a-413e07d25b36' 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'>t</span>: 8</li><li><span class='xr-has-index'>x</span>: 798</li><li><span class='xr-has-index'>y</span>: 558</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5e077f0c-d0ed-4b1d-8799-a5e25e302bfa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e077f0c-d0ed-4b1d-8799-a5e25e302bfa' 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'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-05-04 ... 2023-07-27</div><input id='attrs-412d29ef-906c-4426-8021-79ab9bf44d4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-412d29ef-906c-4426-8021-79ab9bf44d4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92151c18-fd66-44c9-af72-a7d9b6b47a60' class='xr-var-data-in' type='checkbox'><label for='data-92151c18-fd66-44c9-af72-a7d9b6b47a60' 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>standard_name :</span></dt><dd>t</dd><dt><span>long_name :</span></dt><dd>t</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-05-04T00:00:00.000000000&#x27;, &#x27;2023-05-16T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2023-05-28T00:00:00.000000000&#x27;, &#x27;2023-06-09T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2023-06-21T00:00:00.000000000&#x27;, &#x27;2023-07-03T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2023-07-15T00:00:00.000000000&#x27;, &#x27;2023-07-27T00:00:00.000000000&#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'>4.857e+05 4.857e+05 ... 4.936e+05</div><input id='attrs-d583a63c-226d-40e7-9f06-a025fa031174' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d583a63c-226d-40e7-9f06-a025fa031174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9a1f94e-c522-4413-86cd-70868e5c1e8f' class='xr-var-data-in' type='checkbox'><label for='data-a9a1f94e-c522-4413-86cd-70868e5c1e8f' 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>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([485665., 485675., 485685., ..., 493615., 493625., 493635.])</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'>4.922e+06 4.922e+06 ... 4.916e+06</div><input id='attrs-0e9d8be6-0200-4b77-94bc-780a80878c1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e9d8be6-0200-4b77-94bc-780a80878c1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01e6da00-6224-4da4-8db6-ebf11ea44598' class='xr-var-data-in' type='checkbox'><label for='data-01e6da00-6224-4da4-8db6-ebf11ea44598' 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>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([4921875., 4921865., 4921855., ..., 4916325., 4916315., 4916305.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4945834a-e68c-4626-a1e2-c8425b60e469' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4945834a-e68c-4626-a1e2-c8425b60e469' class='xr-section-summary' >Data variables: <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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-58af8392-0fdd-42f4-b606-bf8a13028499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58af8392-0fdd-42f4-b606-bf8a13028499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd7cf33-9657-4206-a4d4-9c73f3b043cf' class='xr-var-data-in' type='checkbox'><label for='data-ddd7cf33-9657-4206-a4d4-9c73f3b043cf' 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>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;, GEOGCS[&quot;WGS 84&quot;, DATUM[&quot;World Geodetic System 1984&quot;, SPHEROID[&quot;WGS 84&quot;, 6378137.0, 298.257223563, AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]], AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]], PRIMEM[&quot;Greenwich&quot;, 0.0, AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]], UNIT[&quot;degree&quot;, 0.017453292519943295], AXIS[&quot;Geodetic longitude&quot;, EAST], AXIS[&quot;Geodetic latitude&quot;, NORTH], AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]], PROJECTION[&quot;Transverse_Mercator&quot;, AUTHORITY[&quot;EPSG&quot;,&quot;9807&quot;]], PARAMETER[&quot;central_meridian&quot;, 9.0], PARAMETER[&quot;latitude_of_origin&quot;, 0.0], PARAMETER[&quot;scale_factor&quot;, 0.9996], PARAMETER[&quot;false_easting&quot;, 500000.0], PARAMETER[&quot;false_northing&quot;, 0.0], UNIT[&quot;m&quot;, 1.0], AXIS[&quot;Easting&quot;, EAST], AXIS[&quot;Northing&quot;, NORTH], AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 32N&quot;, GEOGCS[&quot;WGS 84&quot;, DATUM[&quot;World Geodetic System 1984&quot;, SPHEROID[&quot;WGS 84&quot;, 6378137.0, 298.257223563, AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]], AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]], PRIMEM[&quot;Greenwich&quot;, 0.0, AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]], UNIT[&quot;degree&quot;, 0.017453292519943295], AXIS[&quot;Geodetic longitude&quot;, EAST], AXIS[&quot;Geodetic latitude&quot;, NORTH], AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]], PROJECTION[&quot;Transverse_Mercator&quot;, AUTHORITY[&quot;EPSG&quot;,&quot;9807&quot;]], PARAMETER[&quot;central_meridian&quot;, 9.0], PARAMETER[&quot;latitude_of_origin&quot;, 0.0], PARAMETER[&quot;scale_factor&quot;, 0.9996], PARAMETER[&quot;false_easting&quot;, 500000.0], PARAMETER[&quot;false_northing&quot;, 0.0], UNIT[&quot;m&quot;, 1.0], AXIS[&quot;Easting&quot;, EAST], AXIS[&quot;Northing&quot;, NORTH], AUTHORITY[&quot;EPSG&quot;,&quot;32632&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03013 0.0584 ... 0.002772</div><input id='attrs-e31254ba-6f5b-4f46-9e1b-a6aeae5a2560' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e31254ba-6f5b-4f46-9e1b-a6aeae5a2560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-844295ca-9edf-4877-adf8-845ceff48a7c' class='xr-var-data-in' type='checkbox'><label for='data-844295ca-9edf-4877-adf8-845ceff48a7c' 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>VH</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[3.01266126e-02, 5.83953485e-02, 8.69828165e-02, ...,\n",
+       "         1.24320619e-01, 1.24945082e-01, 1.00246854e-01],\n",
+       "        [3.25607508e-02, 6.61602989e-02, 1.02987774e-01, ...,\n",
+       "         1.22482084e-01, 9.76864696e-02, 8.77709910e-02],\n",
+       "        [3.56383845e-02, 6.34372979e-02, 9.58161131e-02, ...,\n",
+       "         1.29961580e-01, 1.14220403e-01, 9.33515653e-02],\n",
+       "        ...,\n",
+       "        [3.21877305e-05, 4.64823272e-04, 3.00004915e-03, ...,\n",
+       "         4.80068149e-03, 1.50203006e-03, 5.93725883e-04],\n",
+       "        [1.18051399e-03, 1.43372745e-04, 1.21099083e-03, ...,\n",
+       "         3.83209041e-03, 1.82377198e-03, 1.91168149e-03],\n",
+       "        [1.39679981e-03, 2.50002660e-04, 5.35348896e-04, ...,\n",
+       "         6.01697364e-04, 2.29499023e-03, 3.89557052e-03]],\n",
+       "\n",
+       "       [[1.46958763e-02, 3.23549211e-02, 5.45423701e-02, ...,\n",
+       "         7.66848698e-02, 7.48646110e-02, 4.99163270e-02],\n",
+       "        [3.45257260e-02, 7.61002153e-02, 9.37250480e-02, ...,\n",
+       "         1.02293774e-01, 9.97621566e-02, 6.98716938e-02],\n",
+       "        [6.08404167e-02, 1.01097591e-01, 1.16599590e-01, ...,\n",
+       "         1.22312710e-01, 8.49755704e-02, 5.00567295e-02],\n",
+       "...\n",
+       "        [2.34968285e-03, 2.88708718e-03, 2.47914460e-03, ...,\n",
+       "         3.38653452e-03, 1.67917024e-04, 1.41923525e-03],\n",
+       "        [1.61035918e-03, 2.12523667e-03, 2.25708238e-03, ...,\n",
+       "         5.01085818e-03, 2.12465110e-03, 4.70849249e-04],\n",
+       "        [8.11194244e-04, 2.88658752e-03, 1.80306216e-03, ...,\n",
+       "         3.99294682e-03, 2.78779399e-03, 2.29236251e-03]],\n",
+       "\n",
+       "       [[2.32361443e-02, 3.50775048e-02, 4.54894789e-02, ...,\n",
+       "         1.54940277e-01, 1.08866863e-01, 7.07050562e-02],\n",
+       "        [2.01184340e-02, 4.31106612e-02, 6.18188120e-02, ...,\n",
+       "         1.63206682e-01, 1.27807021e-01, 1.02499373e-01],\n",
+       "        [4.48892564e-02, 6.78910092e-02, 8.50456655e-02, ...,\n",
+       "         1.90988258e-01, 1.68420374e-01, 1.14945717e-01],\n",
+       "        ...,\n",
+       "        [1.98554341e-03, 2.18394492e-03, 3.50029464e-03, ...,\n",
+       "         3.77197657e-03, 4.39191516e-03, 2.74618901e-03],\n",
+       "        [1.53027661e-03, 1.05464144e-03, 3.07192188e-03, ...,\n",
+       "         5.21191163e-04, 2.20529619e-03, 2.52083293e-03],\n",
+       "        [1.58914281e-05, 8.95704143e-05, 7.22107303e-04, ...,\n",
+       "         1.63825462e-04, 2.78830819e-04, 2.77175452e-03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV</span></div><div class='xr-var-dims'>(t, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.04666 0.0581 ... 0.02271 0.02798</div><input id='attrs-3962b2a9-c4bd-4a8c-b901-641939226fe9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3962b2a9-c4bd-4a8c-b901-641939226fe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e14b64-d079-437b-9fbd-2cef9c0ec219' class='xr-var-data-in' type='checkbox'><label for='data-c0e14b64-d079-437b-9fbd-2cef9c0ec219' 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>VV</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[[4.66599017e-02, 5.81044294e-02, 9.84530300e-02, ...,\n",
+       "         3.49022955e-01, 3.41812849e-01, 2.79552847e-01],\n",
+       "        [7.93534666e-02, 1.16618790e-01, 1.85944945e-01, ...,\n",
+       "         5.11677206e-01, 5.20003378e-01, 4.30915803e-01],\n",
+       "        [1.09679535e-01, 2.24088848e-01, 3.62902164e-01, ...,\n",
+       "         6.86128378e-01, 5.91057658e-01, 4.33051825e-01],\n",
+       "        ...,\n",
+       "        [3.26663069e-03, 8.40302615e-04, 8.09344347e-04, ...,\n",
+       "         5.80681162e-03, 1.36215398e-02, 1.79301929e-02],\n",
+       "        [5.36374142e-03, 2.71117990e-03, 2.05094693e-03, ...,\n",
+       "         4.50806879e-03, 1.12443306e-02, 1.47634260e-02],\n",
+       "        [5.33101056e-03, 4.16423287e-03, 2.36033788e-03, ...,\n",
+       "         1.07702548e-02, 1.20352665e-02, 1.01785846e-02]],\n",
+       "\n",
+       "       [[8.94369110e-02, 9.51386616e-02, 1.21507980e-01, ...,\n",
+       "         7.41437733e-01, 7.22457886e-01, 4.86833364e-01],\n",
+       "        [7.38895312e-02, 1.57740176e-01, 2.20265135e-01, ...,\n",
+       "         7.77921081e-01, 7.25633681e-01, 5.17232478e-01],\n",
+       "        [8.68130922e-02, 1.86452731e-01, 2.69821405e-01, ...,\n",
+       "         4.60224122e-01, 3.76436323e-01, 3.25488210e-01],\n",
+       "...\n",
+       "        [6.10782858e-03, 5.04287984e-03, 2.90171197e-03, ...,\n",
+       "         1.81993842e-02, 2.08867863e-02, 1.70970913e-02],\n",
+       "        [4.94933128e-03, 4.50340658e-03, 4.05499060e-03, ...,\n",
+       "         2.19883695e-02, 2.66246181e-02, 2.02292018e-02],\n",
+       "        [9.27771907e-03, 8.47946201e-03, 4.91726259e-03, ...,\n",
+       "         1.22283716e-02, 1.39850946e-02, 1.45412041e-02]],\n",
+       "\n",
+       "       [[8.21355358e-02, 9.38723236e-02, 1.43436253e-01, ...,\n",
+       "         6.99383974e-01, 4.64619040e-01, 2.77307868e-01],\n",
+       "        [1.18116319e-01, 1.32027924e-01, 1.23972796e-01, ...,\n",
+       "         8.60066831e-01, 5.09386599e-01, 2.42612064e-01],\n",
+       "        [1.98178917e-01, 2.83029139e-01, 3.20608199e-01, ...,\n",
+       "         6.47629142e-01, 2.54890710e-01, 2.51561701e-01],\n",
+       "        ...,\n",
+       "        [9.28016286e-03, 7.76815414e-03, 1.13518368e-02, ...,\n",
+       "         1.70803871e-02, 8.11853725e-03, 1.20010078e-02],\n",
+       "        [1.25178471e-02, 1.26344375e-02, 1.10447397e-02, ...,\n",
+       "         1.03901457e-02, 1.02811521e-02, 2.23847963e-02],\n",
+       "        [7.52109475e-03, 1.19891586e-02, 1.45366490e-02, ...,\n",
+       "         1.29892994e-02, 2.27139220e-02, 2.79803835e-02]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e2f0b41-e86b-4b64-ae51-62708cd0030c' class='xr-section-summary-in' type='checkbox'  ><label for='section-5e2f0b41-e86b-4b64-ae51-62708cd0030c' 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>t</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f1ad47b-bbb1-4df4-aff5-c18971377db6' class='xr-index-data-in' type='checkbox'/><label for='index-8f1ad47b-bbb1-4df4-aff5-c18971377db6' 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;2023-05-04&#x27;, &#x27;2023-05-16&#x27;, &#x27;2023-05-28&#x27;, &#x27;2023-06-09&#x27;,\n",
+       "               &#x27;2023-06-21&#x27;, &#x27;2023-07-03&#x27;, &#x27;2023-07-15&#x27;, &#x27;2023-07-27&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;t&#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><div></div><input id='index-24ad6d95-3bb7-4355-86ea-13b37bdd21cb' class='xr-index-data-in' type='checkbox'/><label for='index-24ad6d95-3bb7-4355-86ea-13b37bdd21cb' 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([485665.0, 485675.0, 485685.0, 485695.0, 485705.0, 485715.0, 485725.0,\n",
+       "       485735.0, 485745.0, 485755.0,\n",
+       "       ...\n",
+       "       493545.0, 493555.0, 493565.0, 493575.0, 493585.0, 493595.0, 493605.0,\n",
+       "       493615.0, 493625.0, 493635.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=798))</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-327af5e1-2475-47e4-b7b8-fe0ed0954d1d' class='xr-index-data-in' type='checkbox'/><label for='index-327af5e1-2475-47e4-b7b8-fe0ed0954d1d' 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([4921875.0, 4921865.0, 4921855.0, 4921845.0, 4921835.0, 4921825.0,\n",
+       "       4921815.0, 4921805.0, 4921795.0, 4921785.0,\n",
+       "       ...\n",
+       "       4916395.0, 4916385.0, 4916375.0, 4916365.0, 4916355.0, 4916345.0,\n",
+       "       4916335.0, 4916325.0, 4916315.0, 4916305.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=558))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad80681f-a9ef-4e7e-bec6-73ae64bfbf11' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad80681f-a9ef-4e7e-bec6-73ae64bfbf11' 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>Conventions :</span></dt><dd>CF-1.9</dd><dt><span>institution :</span></dt><dd>openEO platform</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (t: 8, x: 798, y: 558)\n",
+       "Coordinates:\n",
+       "  * t        (t) datetime64[ns] 2023-05-04 2023-05-16 ... 2023-07-15 2023-07-27\n",
+       "  * x        (x) float64 4.857e+05 4.857e+05 4.857e+05 ... 4.936e+05 4.936e+05\n",
+       "  * y        (y) float64 4.922e+06 4.922e+06 4.922e+06 ... 4.916e+06 4.916e+06\n",
+       "Data variables:\n",
+       "    crs      |S1 b''\n",
+       "    VH       (t, y, x) float32 0.03013 0.0584 0.08698 ... 0.0002788 0.002772\n",
+       "    VV       (t, y, x) float32 0.04666 0.0581 0.09845 ... 0.02271 0.02798\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = xarray.load_dataset(\"s1sar-raw.nc\")\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59bd22f9-56be-455f-8066-637420a7891c",
+   "metadata": {},
+   "source": [
+    "We got these observations dates:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "cd992c28-dda1-49a0-9ca1-505fab32d507",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['2023-05-04T00:00:00.000000000', '2023-05-16T00:00:00.000000000',\n",
+       "       '2023-05-28T00:00:00.000000000', '2023-06-09T00:00:00.000000000',\n",
+       "       '2023-06-21T00:00:00.000000000', '2023-07-03T00:00:00.000000000',\n",
+       "       '2023-07-15T00:00:00.000000000', '2023-07-27T00:00:00.000000000'],\n",
+       "      dtype='datetime64[ns]')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.coords[\"t\"].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d41e1912-02d3-4640-9b56-d0f064ae66b5",
+   "metadata": {},
+   "source": [
+    "A quick plot for visual inspection."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "da4dfeaf-a520-4923-a396-df06f5cff46a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f5e2be1f110>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 375x225 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds[\"VH\"].isel(t=0).plot(vmin=0, vmax=0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "502d495b-0d59-40eb-914c-54e9ed9b2dee",
+   "metadata": {},
+   "source": [
+    "This section presented a straightforward example of retrieving and analyzing a `S1_GRD_SIGMA0_ASCENDING` data cube from the backend within a defined area of interest during a specified time frame."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a32ab4d4-e233-411a-b930-b7de9af11a60",
+   "metadata": {},
+   "source": [
+    "## Collect statistics\n",
+    "\n",
+    "As part of more detailed processing within the openEO platform, we'll gather temporal statistics using the `apply_dimension` process and a collection of statistical measures (minimum, maximum, quantiles, ...)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "cf57d8bb-e08d-46a8-92ab-5ba27b84dcde",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_stats(data: ProcessBuilder) -> ProcessBuilder:\n",
+    "    \"\"\"\n",
+    "    Collect stats for `data` (to be interpreted as an array of values along the \"t\" dimension).\n",
+    "    We should return a new array with the stats.\n",
+    "    \"\"\"\n",
+    "    # Put some scalar stats (`min`, `max`, ... return a scalar value) in a new array\n",
+    "    scalar_stats = array_create(\n",
+    "        [\n",
+    "            data.min(),\n",
+    "            data.max(),\n",
+    "            data.mean(),\n",
+    "            data.sd(),\n",
+    "        ]\n",
+    "    )\n",
+    "    # The `quantiles` process returns an array on its own\n",
+    "    quantile_stats = data.quantiles([0.1, 0.5, 0.9])\n",
+    "\n",
+    "    # Combine everything in a single array\n",
+    "    return array_concat(array1=scalar_stats, array2=quantile_stats)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ca855cb7-b368-47fd-bd1b-ef592c26bf4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1_stats = s1_raw.apply_dimension(\n",
+    "    process=get_stats,\n",
+    "    dimension=\"t\",\n",
+    "    target_dimension=\"bands\",\n",
+    ")\n",
+    "# Rename band labels, pairing original band names with stat names\n",
+    "s1_stats = s1_stats.rename_labels(\n",
+    "    \"bands\",\n",
+    "    [\n",
+    "        f\"{b}_{s}\"\n",
+    "        for b in s1_raw.metadata.band_names\n",
+    "        for s in [\"min\", \"max\", \"mean\", \"sd\", \"q10\", \"q50\", \"q90\"]\n",
+    "    ],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "caddb4c4-f833-4392-83bf-b9ffdab17446",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 111 ms, sys: 118 ms, total: 229 ms\n",
+      "Wall time: 38.1 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "s1_stats.download(\"s1sar-stats.nc\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "62625b0b-7969-44a0-b2c1-fb06110f1a8d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "with open(\"sar_metrics2.json\", \"w\") as f:\n",
+    "    json.dump(s1_stats.to_json(), f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "66636a8d-0aed-4afc-9e9e-439d9b99676e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".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",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (x: 798, y: 558)\n",
+       "Coordinates:\n",
+       "  * x        (x) float64 4.857e+05 4.857e+05 4.857e+05 ... 4.936e+05 4.936e+05\n",
+       "  * y        (y) float64 4.922e+06 4.922e+06 4.922e+06 ... 4.916e+06 4.916e+06\n",
+       "Data variables: (12/14)\n",
+       "    VH_min   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_max   (y, x) float32 0.03604 0.0584 0.08822 ... 0.003115 0.006632\n",
+       "    VH_mean  (y, x) float32 0.01978 0.03318 0.05122 ... 0.001801 0.003237\n",
+       "    VH_sd    (y, x) float32 0.009419 0.01686 0.0247 ... 0.0009503 0.00193\n",
+       "    VH_q10   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_q50   (y, x) float32 0.01642 0.02946 0.04615 ... 0.001851 0.003168\n",
+       "    ...       ...\n",
+       "    VV_max   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "    VV_mean  (y, x) float32 0.09626 0.1365 0.1872 ... 0.01012 0.01103 0.01548\n",
+       "    VV_sd    (y, x) float32 0.05409 0.09378 0.1112 ... 0.006371 0.006519 0.01286\n",
+       "    VV_q10   (y, x) float32 0.03823 0.0581 0.09845 ... 0.003309 0.002925\n",
+       "    VV_q50   (y, x) float32 0.08684 0.1051 0.1579 ... 0.008462 0.009489 0.01156\n",
+       "    VV_q90   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform</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-d25ee49e-b09a-45c7-8a47-5f4c9fd230ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d25ee49e-b09a-45c7-8a47-5f4c9fd230ca' 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'>x</span>: 798</li><li><span class='xr-has-index'>y</span>: 558</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a6e8f997-7ea3-466b-84cd-41721e48a043' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6e8f997-7ea3-466b-84cd-41721e48a043' class='xr-section-summary' >Coordinates: <span>(2)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.857e+05 4.857e+05 ... 4.936e+05</div><input id='attrs-39729cb3-d16d-4855-ad0b-067632552e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39729cb3-d16d-4855-ad0b-067632552e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63090286-451a-4940-ada0-92cbe6d70d47' class='xr-var-data-in' type='checkbox'><label for='data-63090286-451a-4940-ada0-92cbe6d70d47' 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>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([485665., 485675., 485685., ..., 493615., 493625., 493635.])</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'>4.922e+06 4.922e+06 ... 4.916e+06</div><input id='attrs-fc121305-c92d-465c-9b57-986d5c0bd350' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc121305-c92d-465c-9b57-986d5c0bd350' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cda7a866-823a-41f1-b8ef-229373132584' class='xr-var-data-in' type='checkbox'><label for='data-cda7a866-823a-41f1-b8ef-229373132584' 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>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([4921875., 4921865., 4921855., ..., 4916325., 4916315., 4916305.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b71f978-0664-45ee-a36e-aa9a81f7b64a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b71f978-0664-45ee-a36e-aa9a81f7b64a' class='xr-section-summary' >Data variables: <span>(14)</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>VH_min</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.007442 0.01634 ... 0.0003386</div><input id='attrs-3a2bb4cf-5c5e-42cd-9356-5b0957fb98c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a2bb4cf-5c5e-42cd-9356-5b0957fb98c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53c73437-f479-471e-a9bd-9b164182b4aa' class='xr-var-data-in' type='checkbox'><label for='data-53c73437-f479-471e-a9bd-9b164182b4aa' 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>VH_min</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[7.4415309e-03, 1.6343007e-02, 2.4772413e-02, ..., 5.5835072e-02,\n",
+       "        4.0328607e-02, 3.1856596e-02],\n",
+       "       [9.0845078e-03, 1.8613091e-02, 3.0874813e-02, ..., 5.9993275e-02,\n",
+       "        5.3687811e-02, 4.7377892e-02],\n",
+       "       [1.0651190e-02, 1.9190351e-02, 3.1387392e-02, ..., 8.2894199e-02,\n",
+       "        7.3106125e-02, 4.1296154e-02],\n",
+       "       ...,\n",
+       "       [3.2187731e-05, 4.6482327e-04, 4.1350679e-04, ..., 3.3551207e-04,\n",
+       "        1.4962933e-04, 7.3057665e-05],\n",
+       "       [1.5885655e-05, 3.9615774e-05, 1.2235668e-04, ..., 3.0250914e-04,\n",
+       "        7.5182226e-04, 1.5585287e-04],\n",
+       "       [1.5885615e-05, 4.6827008e-05, 2.3712554e-04, ..., 1.6382546e-04,\n",
+       "        2.7883082e-04, 3.3861815e-04]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_max</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03604 0.0584 ... 0.006632</div><input id='attrs-7a3407db-b78b-4f58-8164-f81b6cca2c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a3407db-b78b-4f58-8164-f81b6cca2c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3851f06f-238a-46ef-bd07-9fb8954f044b' class='xr-var-data-in' type='checkbox'><label for='data-3851f06f-238a-46ef-bd07-9fb8954f044b' 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>VH_max</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.03604072, 0.05839535, 0.08822469, ..., 0.32693267, 0.2599725 ,\n",
+       "        0.16062291],\n",
+       "       [0.06696388, 0.10971747, 0.14447221, ..., 0.31547707, 0.19647637,\n",
+       "        0.10249937],\n",
+       "       [0.10121775, 0.13220015, 0.14859372, ..., 0.24435118, 0.16842037,\n",
+       "        0.11494572],\n",
+       "       ...,\n",
+       "       [0.00431482, 0.00388348, 0.00630981, ..., 0.00496825, 0.01302709,\n",
+       "        0.0066534 ],\n",
+       "       [0.00336156, 0.00744628, 0.00588296, ..., 0.00518299, 0.00960913,\n",
+       "        0.00696922],\n",
+       "       [0.00348909, 0.00444956, 0.00253593, ..., 0.00662928, 0.00311544,\n",
+       "        0.0066321 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_mean</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01978 0.03318 ... 0.003237</div><input id='attrs-fc2f17fe-f259-4a4e-9c87-900a696878ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc2f17fe-f259-4a4e-9c87-900a696878ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a122a29-00a6-4a79-a205-0aaccee4bc94' class='xr-var-data-in' type='checkbox'><label for='data-5a122a29-00a6-4a79-a205-0aaccee4bc94' 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>VH_mean</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.01978468, 0.03317526, 0.05122132, ..., 0.1278438 , 0.11206219,\n",
+       "        0.07862695],\n",
+       "       [0.02983127, 0.05295548, 0.07390182, ..., 0.1544519 , 0.11919038,\n",
+       "        0.08003806],\n",
+       "       [0.04661358, 0.07003686, 0.08838344, ..., 0.1496976 , 0.11252023,\n",
+       "        0.07457688],\n",
+       "       ...,\n",
+       "       [0.00155804, 0.00161588, 0.00264122, ..., 0.00329824, 0.00361542,\n",
+       "        0.00206712],\n",
+       "       [0.00155148, 0.00217963, 0.00238249, ..., 0.00290533, 0.00317651,\n",
+       "        0.00251921],\n",
+       "       [0.00116949, 0.00165877, 0.00139102, ..., 0.00218505, 0.00180075,\n",
+       "        0.00323711]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_sd</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.009419 0.01686 ... 0.00193</div><input id='attrs-10ae71f0-ce7e-4e59-b68c-996b048821c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10ae71f0-ce7e-4e59-b68c-996b048821c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfb4439b-f624-46b8-bdd0-e3ff96c11ff1' class='xr-var-data-in' type='checkbox'><label for='data-bfb4439b-f624-46b8-bdd0-e3ff96c11ff1' 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>VH_sd</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.00941931, 0.01685729, 0.02469561, ..., 0.08591115, 0.06487104,\n",
+       "        0.03994398],\n",
+       "       [0.01842893, 0.03180607, 0.03907879, ..., 0.07538059, 0.04117164,\n",
+       "        0.01954442],\n",
+       "       [0.03133715, 0.03918692, 0.04057009, ..., 0.05113091, 0.03679396,\n",
+       "        0.02576428],\n",
+       "       ...,\n",
+       "       [0.00141927, 0.00125762, 0.0018592 , ..., 0.00169285, 0.00433611,\n",
+       "        0.00202067],\n",
+       "       [0.00116786, 0.00235026, 0.0020393 , ..., 0.00185387, 0.00289492,\n",
+       "        0.0024544 ],\n",
+       "       [0.00133604, 0.0017832 , 0.00104416, ..., 0.00226273, 0.00095033,\n",
+       "        0.00192955]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.007442 0.01634 ... 0.0003386</div><input id='attrs-68f20dec-5d89-4418-a49c-b93b3918cd34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68f20dec-5d89-4418-a49c-b93b3918cd34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fba7818-ceb4-49be-8f4d-83cfe23b4e35' class='xr-var-data-in' type='checkbox'><label for='data-7fba7818-ceb4-49be-8f4d-83cfe23b4e35' 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>VH_q10</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[7.4415309e-03, 1.6343007e-02, 2.4772413e-02, ..., 5.5835072e-02,\n",
+       "        4.0328607e-02, 3.1856596e-02],\n",
+       "       [9.0845078e-03, 1.8613091e-02, 3.0874813e-02, ..., 5.9993275e-02,\n",
+       "        5.3687811e-02, 4.7377892e-02],\n",
+       "       [1.0651190e-02, 1.9190351e-02, 3.1387392e-02, ..., 8.2894199e-02,\n",
+       "        7.3106125e-02, 4.1296154e-02],\n",
+       "       ...,\n",
+       "       [3.2187731e-05, 4.6482327e-04, 4.1350679e-04, ..., 3.3551207e-04,\n",
+       "        1.4962933e-04, 7.3057665e-05],\n",
+       "       [1.5885655e-05, 3.9615774e-05, 1.2235668e-04, ..., 3.0250914e-04,\n",
+       "        7.5182226e-04, 1.5585287e-04],\n",
+       "       [1.5885615e-05, 4.6827008e-05, 2.3712554e-04, ..., 1.6382546e-04,\n",
+       "        2.7883082e-04, 3.3861815e-04]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q50</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01642 0.02946 ... 0.003168</div><input id='attrs-cf848084-e8a5-40a7-823e-3b6adb0499ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf848084-e8a5-40a7-823e-3b6adb0499ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b801eed-512e-4fd4-97f6-1b28739d159a' class='xr-var-data-in' type='checkbox'><label for='data-7b801eed-512e-4fd4-97f6-1b28739d159a' 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>VH_q50</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.01641532, 0.02945656, 0.04615069, ..., 0.09937736, 0.09957799,\n",
+       "        0.06773166],\n",
+       "       [0.02633959, 0.05312615, 0.07025553, ..., 0.1448748 , 0.11684266,\n",
+       "        0.08433955],\n",
+       "       [0.04026382, 0.06566416, 0.09043089, ..., 0.12782589, 0.10272062,\n",
+       "        0.07347739],\n",
+       "       ...,\n",
+       "       [0.0014457 , 0.0012235 , 0.00271203, ..., 0.00357926, 0.00242533,\n",
+       "        0.00159997],\n",
+       "       [0.00157032, 0.00178378, 0.00173404, ..., 0.003209  , 0.00216497,\n",
+       "        0.00176098],\n",
+       "       [0.00079205, 0.00095888, 0.00126258, ..., 0.00131919, 0.00185058,\n",
+       "        0.0031679 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q90</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03604 0.0584 ... 0.006632</div><input id='attrs-e94b2e91-662c-4d78-bf8c-2c46d4d0fc17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e94b2e91-662c-4d78-bf8c-2c46d4d0fc17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dfa8d24-b749-44e9-ba86-fb4edf3e828c' class='xr-var-data-in' type='checkbox'><label for='data-6dfa8d24-b749-44e9-ba86-fb4edf3e828c' 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>VH_q90</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.03604072, 0.05839535, 0.08822469, ..., 0.32693267, 0.2599725 ,\n",
+       "        0.16062291],\n",
+       "       [0.06696388, 0.10971747, 0.14447221, ..., 0.31547707, 0.19647637,\n",
+       "        0.10249937],\n",
+       "       [0.10121775, 0.13220015, 0.14859372, ..., 0.24435118, 0.16842037,\n",
+       "        0.11494572],\n",
+       "       ...,\n",
+       "       [0.00431482, 0.00388348, 0.00630981, ..., 0.00496825, 0.01302709,\n",
+       "        0.0066534 ],\n",
+       "       [0.00336156, 0.00744628, 0.00588296, ..., 0.00518299, 0.00960913,\n",
+       "        0.00696922],\n",
+       "       [0.00348909, 0.00444956, 0.00253593, ..., 0.00662928, 0.00311544,\n",
+       "        0.0066321 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_min</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03823 0.0581 ... 0.002925</div><input id='attrs-3bdb81fa-ea79-47ad-8090-89247997a33a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bdb81fa-ea79-47ad-8090-89247997a33a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b46b41af-1844-4631-8bfb-abd85f889344' class='xr-var-data-in' type='checkbox'><label for='data-b46b41af-1844-4631-8bfb-abd85f889344' 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>VV_min</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[3.82329002e-02, 5.81044294e-02, 9.84530300e-02, ...,\n",
+       "        3.23727041e-01, 3.41812849e-01, 2.77307868e-01],\n",
+       "       [5.36972843e-02, 1.16618790e-01, 1.23972796e-01, ...,\n",
+       "        3.44944984e-01, 3.67321134e-01, 2.42612064e-01],\n",
+       "       [8.68130922e-02, 1.28296837e-01, 2.05426112e-01, ...,\n",
+       "        2.49633417e-01, 1.32964298e-01, 9.90427136e-02],\n",
+       "       ...,\n",
+       "       [4.80704126e-04, 8.40302615e-04, 8.09344347e-04, ...,\n",
+       "        3.48369405e-03, 5.71828044e-04, 3.22331092e-03],\n",
+       "       [2.80205859e-03, 2.71117990e-03, 1.38480763e-03, ...,\n",
+       "        4.25597979e-03, 1.65972699e-04, 4.20906581e-03],\n",
+       "       [2.71791941e-03, 4.16423287e-03, 2.36033788e-03, ...,\n",
+       "        3.97732435e-03, 3.30928364e-03, 2.92523764e-03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_max</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2145 0.352 ... 0.02271 0.04126</div><input id='attrs-31efa90a-9022-4fee-8ef0-cdf618cd9ebc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31efa90a-9022-4fee-8ef0-cdf618cd9ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bb2e4ed-a3df-4720-9b9c-57c47f6ad0b9' class='xr-var-data-in' type='checkbox'><label for='data-2bb2e4ed-a3df-4720-9b9c-57c47f6ad0b9' 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>VV_max</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.21453455, 0.35201532, 0.44206226, ..., 0.7745028 , 0.7224579 ,\n",
+       "        0.58535093],\n",
+       "       [0.19568719, 0.3464168 , 0.5093019 , ..., 0.9756379 , 0.802884  ,\n",
+       "        0.6578531 ],\n",
+       "       [0.25700998, 0.40784222, 0.5935021 , ..., 1.0759932 , 0.7719225 ,\n",
+       "        0.54108393],\n",
+       "       ...,\n",
+       "       [0.01855026, 0.0191953 , 0.02520283, ..., 0.04316558, 0.04142256,\n",
+       "        0.03178509],\n",
+       "       [0.01793688, 0.01629219, 0.02929817, ..., 0.02198837, 0.02662462,\n",
+       "        0.03337206],\n",
+       "       [0.02471384, 0.02900133, 0.03170837, ..., 0.02347184, 0.02271392,\n",
+       "        0.04125684]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_mean</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.09626 0.1365 ... 0.01103 0.01548</div><input id='attrs-da6b11b8-e51c-4966-a3e8-8e183b5091c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da6b11b8-e51c-4966-a3e8-8e183b5091c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d967c8fb-2eed-4b68-85fe-837cc91a51c4' class='xr-var-data-in' type='checkbox'><label for='data-d967c8fb-2eed-4b68-85fe-837cc91a51c4' 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>VV_mean</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.09625705, 0.13647287, 0.18718082, ..., 0.5496613 , 0.51692694,\n",
+       "        0.4102068 ],\n",
+       "       [0.09961063, 0.1633609 , 0.2353696 , ..., 0.6605072 , 0.56492525,\n",
+       "        0.41471007],\n",
+       "       [0.14946699, 0.25105995, 0.3585353 , ..., 0.6142653 , 0.45950067,\n",
+       "        0.3498352 ],\n",
+       "       ...,\n",
+       "       [0.00574651, 0.00542928, 0.00741474, ..., 0.01460892, 0.01497063,\n",
+       "        0.0144419 ],\n",
+       "       [0.0078292 , 0.00740209, 0.00846404, ..., 0.01040112, 0.01174255,\n",
+       "        0.01500158],\n",
+       "       [0.00813532, 0.00973692, 0.00984371, ..., 0.01012099, 0.01102888,\n",
+       "        0.01548478]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_sd</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05409 0.09378 ... 0.01286</div><input id='attrs-a401aa5e-37cb-4c29-be83-8e81d9712225' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a401aa5e-37cb-4c29-be83-8e81d9712225' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcca1afb-c8e7-4792-a137-2ae9120f6660' class='xr-var-data-in' type='checkbox'><label for='data-dcca1afb-c8e7-4792-a137-2ae9120f6660' 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>VV_sd</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.05409231, 0.09378087, 0.11117973, ..., 0.17954879, 0.14689186,\n",
+       "        0.10922512],\n",
+       "       [0.0447595 , 0.07611188, 0.11615117, ..., 0.22754364, 0.17713465,\n",
+       "        0.14189446],\n",
+       "       [0.06593374, 0.08556262, 0.11674429, ..., 0.25365794, 0.22763157,\n",
+       "        0.141367  ],\n",
+       "       ...,\n",
+       "       [0.00583977, 0.00600125, 0.0081784 , ..., 0.01263162, 0.01270936,\n",
+       "        0.01037051],\n",
+       "       [0.00507251, 0.00514195, 0.00953319, ..., 0.00733791, 0.0082898 ,\n",
+       "        0.01043584],\n",
+       "       [0.0070393 , 0.00821903, 0.0096691 , ..., 0.00637131, 0.00651885,\n",
+       "        0.01285903]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03823 0.0581 ... 0.002925</div><input id='attrs-3f161d1f-9ca4-4f41-b3b8-309d20dc6693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f161d1f-9ca4-4f41-b3b8-309d20dc6693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4bbfedb-ed2b-4024-9604-99e6f2fcdeb5' class='xr-var-data-in' type='checkbox'><label for='data-c4bbfedb-ed2b-4024-9604-99e6f2fcdeb5' 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>VV_q10</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[3.82329002e-02, 5.81044294e-02, 9.84530300e-02, ...,\n",
+       "        3.23727041e-01, 3.41812849e-01, 2.77307868e-01],\n",
+       "       [5.36972843e-02, 1.16618790e-01, 1.23972796e-01, ...,\n",
+       "        3.44944984e-01, 3.67321134e-01, 2.42612064e-01],\n",
+       "       [8.68130922e-02, 1.28296837e-01, 2.05426112e-01, ...,\n",
+       "        2.49633417e-01, 1.32964298e-01, 9.90427136e-02],\n",
+       "       ...,\n",
+       "       [4.80704126e-04, 8.40302615e-04, 8.09344347e-04, ...,\n",
+       "        3.48369405e-03, 5.71828044e-04, 3.22331092e-03],\n",
+       "       [2.80205859e-03, 2.71117990e-03, 1.38480763e-03, ...,\n",
+       "        4.25597979e-03, 1.65972699e-04, 4.20906581e-03],\n",
+       "       [2.71791941e-03, 4.16423287e-03, 2.36033788e-03, ...,\n",
+       "        3.97732435e-03, 3.30928364e-03, 2.92523764e-03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q50</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.08684 0.1051 ... 0.009489 0.01156</div><input id='attrs-d5b3f135-d198-4fd7-8a06-4ce7c11cf747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5b3f135-d198-4fd7-8a06-4ce7c11cf747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-888a16a8-93ea-4587-83c4-c5c8630256ae' class='xr-var-data-in' type='checkbox'><label for='data-888a16a8-93ea-4587-83c4-c5c8630256ae' 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>VV_q50</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.08684144, 0.10507031, 0.15785766, ..., 0.5336267 , 0.4663303 ,\n",
+       "        0.41561162],\n",
+       "       [0.08269721, 0.1327595 , 0.201277  , ..., 0.68295944, 0.514695  ,\n",
+       "        0.4009375 ],\n",
+       "       [0.12596725, 0.24027355, 0.34175518, ..., 0.5718068 , 0.4059891 ,\n",
+       "        0.34461385],\n",
+       "       ...,\n",
+       "       [0.00349785, 0.00344953, 0.0037301 , ..., 0.01074719, 0.01242693,\n",
+       "        0.01454905],\n",
+       "       [0.00563643, 0.00465483, 0.00359291, ..., 0.00712057, 0.01076274,\n",
+       "        0.01551143],\n",
+       "       [0.0061425 , 0.00736981, 0.00503082, ..., 0.00846156, 0.00948913,\n",
+       "        0.01156005]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q90</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2145 0.352 ... 0.02271 0.04126</div><input id='attrs-1ea5e3c8-c42e-4298-a09e-42eecf09892b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ea5e3c8-c42e-4298-a09e-42eecf09892b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e5d9a73-de0d-42a8-9fc6-432f2ea324c2' class='xr-var-data-in' type='checkbox'><label for='data-6e5d9a73-de0d-42a8-9fc6-432f2ea324c2' 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>VV_q90</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.21453455, 0.35201532, 0.44206226, ..., 0.7745028 , 0.7224579 ,\n",
+       "        0.58535093],\n",
+       "       [0.19568719, 0.3464168 , 0.5093019 , ..., 0.9756379 , 0.802884  ,\n",
+       "        0.6578531 ],\n",
+       "       [0.25700998, 0.40784222, 0.5935021 , ..., 1.0759932 , 0.7719225 ,\n",
+       "        0.54108393],\n",
+       "       ...,\n",
+       "       [0.01855026, 0.0191953 , 0.02520283, ..., 0.04316558, 0.04142256,\n",
+       "        0.03178509],\n",
+       "       [0.01793688, 0.01629219, 0.02929817, ..., 0.02198837, 0.02662462,\n",
+       "        0.03337206],\n",
+       "       [0.02471384, 0.02900133, 0.03170837, ..., 0.02347184, 0.02271392,\n",
+       "        0.04125684]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60670df1-4d0f-4b2d-8eec-236f00c481d8' class='xr-section-summary-in' type='checkbox'  ><label for='section-60670df1-4d0f-4b2d-8eec-236f00c481d8' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0068e36-c1a9-41d6-b468-9474f0bdce37' class='xr-index-data-in' type='checkbox'/><label for='index-e0068e36-c1a9-41d6-b468-9474f0bdce37' 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([485665.0, 485675.0, 485685.0, 485695.0, 485705.0, 485715.0, 485725.0,\n",
+       "       485735.0, 485745.0, 485755.0,\n",
+       "       ...\n",
+       "       493545.0, 493555.0, 493565.0, 493575.0, 493585.0, 493595.0, 493605.0,\n",
+       "       493615.0, 493625.0, 493635.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=798))</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-1b40f7f4-a803-4d20-8dbb-e9b71d7ff6d8' class='xr-index-data-in' type='checkbox'/><label for='index-1b40f7f4-a803-4d20-8dbb-e9b71d7ff6d8' 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([4921875.0, 4921865.0, 4921855.0, 4921845.0, 4921835.0, 4921825.0,\n",
+       "       4921815.0, 4921805.0, 4921795.0, 4921785.0,\n",
+       "       ...\n",
+       "       4916395.0, 4916385.0, 4916375.0, 4916365.0, 4916355.0, 4916345.0,\n",
+       "       4916335.0, 4916325.0, 4916315.0, 4916305.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=558))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e11cd086-5e53-41d0-91d6-09391ea02018' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e11cd086-5e53-41d0-91d6-09391ea02018' 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>Conventions :</span></dt><dd>CF-1.9</dd><dt><span>institution :</span></dt><dd>openEO platform</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (x: 798, y: 558)\n",
+       "Coordinates:\n",
+       "  * x        (x) float64 4.857e+05 4.857e+05 4.857e+05 ... 4.936e+05 4.936e+05\n",
+       "  * y        (y) float64 4.922e+06 4.922e+06 4.922e+06 ... 4.916e+06 4.916e+06\n",
+       "Data variables: (12/14)\n",
+       "    VH_min   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_max   (y, x) float32 0.03604 0.0584 0.08822 ... 0.003115 0.006632\n",
+       "    VH_mean  (y, x) float32 0.01978 0.03318 0.05122 ... 0.001801 0.003237\n",
+       "    VH_sd    (y, x) float32 0.009419 0.01686 0.0247 ... 0.0009503 0.00193\n",
+       "    VH_q10   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_q50   (y, x) float32 0.01642 0.02946 0.04615 ... 0.001851 0.003168\n",
+       "    ...       ...\n",
+       "    VV_max   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "    VV_mean  (y, x) float32 0.09626 0.1365 0.1872 ... 0.01012 0.01103 0.01548\n",
+       "    VV_sd    (y, x) float32 0.05409 0.09378 0.1112 ... 0.006371 0.006519 0.01286\n",
+       "    VV_q10   (y, x) float32 0.03823 0.0581 0.09845 ... 0.003309 0.002925\n",
+       "    VV_q50   (y, x) float32 0.08684 0.1051 0.1579 ... 0.008462 0.009489 0.01156\n",
+       "    VV_q90   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = xarray.load_dataset(\"s1sar-stats.nc\").drop_vars(\"crs\")\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "f8d4838b-11e1-45cf-b436-d504b6481c7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f5e2c106c90>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 525x225 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds[[\"VH_mean\", \"VV_mean\"]].to_array().plot.imshow(col=\"variable\", vmin=0, vmax=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a9c1761-26fc-4875-8db8-4d16cacdad6e",
+   "metadata": {},
+   "source": [
+    "## Build S1 SAR stats UDP\n",
+    "\n",
+    "Suppose we want to save the above-described algorithm as a User-Defined-Process(UDP). Therefore, in this section, we define the input parameters, define the earlier workflow and then save it as a process. \n",
+    "\n",
+    "The only limitation of this approach, is that your workflow needs to be defined as a single process graph. So workflows that require multiple openEO invocations or complex parameter preprocessing won't work yet. However, thanks to the flexibility of openEO and the ability to include custom code as a UDF, a lot of algorithms can already be defined in a single openEO graph."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "3c48c9e6-0d0e-49fa-a6f8-777c7bd1a901",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openeo\n",
+    "from openeo.api.process import Parameter\n",
+    "from openeo.processes import array_create, array_concat"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ff6fa6a-a7c1-4a22-98e2-53990dcbee98",
+   "metadata": {},
+   "source": [
+    "Let us define the UDP parameters to allow specifying the spatio-temporal extent.\n",
+    "\n",
+    "To make a service available to users, we might want to replace certain fixed values in your process graph with parameters that can be set by the user of your process. This provides you with a parameterised UDP."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "00073733-e986-40d4-815c-9bf7ffc40531",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "temporal_extent = Parameter(\n",
+    "    name=\"temporal_extent\",\n",
+    "    description=\"The time window to calculate the stats for.\",\n",
+    "    schema={\"type\": \"array\", \"subtype\": \"temporal-interval\"},\n",
+    "    default=[\"2023-05-01\", \"2023-07-30\"],\n",
+    ")\n",
+    "spatial_extent = Parameter(\n",
+    "    name=\"spatial_extent\",\n",
+    "    description=\"The spatial extent to calculate the stats for.\",\n",
+    "    schema={\"type\": \"object\", \"subtype\": \"bounding-box\"},\n",
+    "    default={\"west\": 8.82, \"south\": 44.40, \"east\": 8.92, \"north\": 44.45},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e97648fc-88c9-476f-b79f-cb21f5136353",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1_raw = connection.load_collection(\n",
+    "    collection_id=\"S1_GRD_SIGMA0_ASCENDING\",\n",
+    "    temporal_extent=temporal_extent,\n",
+    "    spatial_extent=spatial_extent,\n",
+    "    bands=[\"VH\", \"VV\"],\n",
+    ")\n",
+    "\n",
+    "# Unlike above, where we defined the `apply_dimension` process\n",
+    "# through a regular python function, we do it here compactily with a single \"lambda\".\n",
+    "s1_stats = s1_raw.apply_dimension(\n",
+    "    process=lambda data: array_concat(\n",
+    "        array1=array_create([data.min(), data.max(), data.mean(), data.sd()]),\n",
+    "        array2=data.quantiles([0.1, 0.5, 0.9]),\n",
+    "    ),\n",
+    "    dimension=\"t\",\n",
+    "    target_dimension=\"bands\",\n",
+    ")\n",
+    "# Rename band labels, pairing original band names with stat names\n",
+    "s1_stats = s1_stats.rename_labels(\n",
+    "    \"bands\",\n",
+    "    [\n",
+    "        f\"{b}_{s}\"\n",
+    "        for b in s1_stats.metadata.band_names\n",
+    "        for s in [\"min\", \"max\", \"mean\", \"sd\", \"q10\", \"q50\", \"q90\"]\n",
+    "    ],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4cab0da4-db82-47c3-b8fc-f788661e2beb",
+   "metadata": {},
+   "source": [
+    "Store this parameterized data cube as a UDP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "40805552-1011-4a7d-a1a0-16a96dda00a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "udp_sar = connection.save_user_defined_process(\n",
+    "    user_defined_process_id=\"s1_stats\",\n",
+    "    process_graph=s1_stats,\n",
+    "    parameters=[temporal_extent, spatial_extent],\n",
+    "    summary=\"S1 SAR stats\",\n",
+    "    description=\"Calculate S1 SAR stats (min, max, mean, sd, q10, q50, q90)\",\n",
+    "    public=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ca7385d-5451-478b-9d5f-04915dfa2b3b",
+   "metadata": {},
+   "source": [
+    "When saving a process, please note that saved processes are private by default, nonetheless can be used multiple times by an individual. Therefore, to share with a large audience, you will need a public URL that can be achieved once the process is saved as public."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "17cba7fe-e030-4a0b-aae2-b48d4a86b057",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "public_url, _ = [\n",
+    "    l[\"href\"] for l in udp_sar.describe()[\"links\"] if l[\"rel\"] == \"canonical\"\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72e9e438-ce11-4e30-8843-b8b73a7e8106",
+   "metadata": {},
+   "source": [
+    "## Use the saved UDP in the Python Client\n",
+    "\n",
+    "Now, let’s evaluate our freshly created user-defined processes \"s1_stats\". We can use `datacube_from_process()` to create a DataCube from this process and only have to provide concrete temporal and spatial extents"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "85ab94db-a16d-4199-88b4-c5abfa15606d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "spatial_extent = {\"west\": 8.82, \"south\": 44.40, \"east\": 8.92, \"north\": 44.45}\n",
+    "temporal_extent = [\"2023-05-01\", \"2023-07-30\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "8653edda-2f21-4115-b715-8e6b0d5f8868",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sar = connection.datacube_from_process(\n",
+    "    \"s1_stats\",\n",
+    "    namespace=public_url,\n",
+    "    temporal_extent=temporal_extent,\n",
+    "    spatial_extent=spatial_extent,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "9e901fb3-e7a6-4d2a-a405-ec33f9f80601",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 169 ms, sys: 138 ms, total: 307 ms\n",
+      "Wall time: 1min 29s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "sar.download(\"s1sar.nc\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "5108dce7-952c-4f51-bd63-69a36750bfaa",
+   "metadata": {},
+   "outputs": [
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+       "    VH_min   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_max   (y, x) float32 0.03604 0.0584 0.08822 ... 0.003115 0.006632\n",
+       "    VH_mean  (y, x) float32 0.01978 0.03318 0.05122 ... 0.001801 0.003237\n",
+       "    VH_sd    (y, x) float32 0.009419 0.01686 0.0247 ... 0.0009503 0.00193\n",
+       "    VH_q10   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_q50   (y, x) float32 0.01642 0.02946 0.04615 ... 0.001851 0.003168\n",
+       "    ...       ...\n",
+       "    VV_max   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "    VV_mean  (y, x) float32 0.09626 0.1365 0.1872 ... 0.01012 0.01103 0.01548\n",
+       "    VV_sd    (y, x) float32 0.05409 0.09378 0.1112 ... 0.006371 0.006519 0.01286\n",
+       "    VV_q10   (y, x) float32 0.03823 0.0581 0.09845 ... 0.003309 0.002925\n",
+       "    VV_q50   (y, x) float32 0.08684 0.1051 0.1579 ... 0.008462 0.009489 0.01156\n",
+       "    VV_q90   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform</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-01fb84f5-ca5c-4c3e-9b9f-cda573d9d3c1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01fb84f5-ca5c-4c3e-9b9f-cda573d9d3c1' 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'>x</span>: 798</li><li><span class='xr-has-index'>y</span>: 558</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-731a1e7e-7b2b-422a-8420-afad7c822ee0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-731a1e7e-7b2b-422a-8420-afad7c822ee0' class='xr-section-summary' >Coordinates: <span>(2)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.857e+05 4.857e+05 ... 4.936e+05</div><input id='attrs-a3df8ec2-be2d-4201-bada-aa213729c07b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3df8ec2-be2d-4201-bada-aa213729c07b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc6fa154-a025-42d3-9992-b268455163dc' class='xr-var-data-in' type='checkbox'><label for='data-dc6fa154-a025-42d3-9992-b268455163dc' 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>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([485665., 485675., 485685., ..., 493615., 493625., 493635.])</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'>4.922e+06 4.922e+06 ... 4.916e+06</div><input id='attrs-05965305-130f-4576-b773-d8560cc9dbd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05965305-130f-4576-b773-d8560cc9dbd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95d1889-feb7-4e7d-8422-bc621588f331' class='xr-var-data-in' type='checkbox'><label for='data-b95d1889-feb7-4e7d-8422-bc621588f331' 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>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([4921875., 4921865., 4921855., ..., 4916325., 4916315., 4916305.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b428e3ff-7faa-469c-89cd-b9f08b5c6459' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b428e3ff-7faa-469c-89cd-b9f08b5c6459' class='xr-section-summary' >Data variables: <span>(14)</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>VH_min</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.007442 0.01634 ... 0.0003386</div><input id='attrs-eb404766-5eb3-4494-b564-b550ffbd7259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb404766-5eb3-4494-b564-b550ffbd7259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502f3fd1-82a2-4dad-bac7-68f323411a73' class='xr-var-data-in' type='checkbox'><label for='data-502f3fd1-82a2-4dad-bac7-68f323411a73' 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>VH_min</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[7.4415309e-03, 1.6343007e-02, 2.4772413e-02, ..., 5.5835072e-02,\n",
+       "        4.0328607e-02, 3.1856596e-02],\n",
+       "       [9.0845078e-03, 1.8613091e-02, 3.0874813e-02, ..., 5.9993275e-02,\n",
+       "        5.3687811e-02, 4.7377892e-02],\n",
+       "       [1.0651190e-02, 1.9190351e-02, 3.1387392e-02, ..., 8.2894199e-02,\n",
+       "        7.3106125e-02, 4.1296154e-02],\n",
+       "       ...,\n",
+       "       [3.2187731e-05, 4.6482327e-04, 4.1350679e-04, ..., 3.3551207e-04,\n",
+       "        1.4962933e-04, 7.3057665e-05],\n",
+       "       [1.5885655e-05, 3.9615774e-05, 1.2235668e-04, ..., 3.0250914e-04,\n",
+       "        7.5182226e-04, 1.5585287e-04],\n",
+       "       [1.5885615e-05, 4.6827008e-05, 2.3712554e-04, ..., 1.6382546e-04,\n",
+       "        2.7883082e-04, 3.3861815e-04]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_max</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03604 0.0584 ... 0.006632</div><input id='attrs-7c280085-998b-42ed-b124-6eab4cc378ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c280085-998b-42ed-b124-6eab4cc378ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75959aeb-b211-4edb-ac54-8df21fc687d0' class='xr-var-data-in' type='checkbox'><label for='data-75959aeb-b211-4edb-ac54-8df21fc687d0' 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>VH_max</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.03604072, 0.05839535, 0.08822469, ..., 0.32693267, 0.2599725 ,\n",
+       "        0.16062291],\n",
+       "       [0.06696388, 0.10971747, 0.14447221, ..., 0.31547707, 0.19647637,\n",
+       "        0.10249937],\n",
+       "       [0.10121775, 0.13220015, 0.14859372, ..., 0.24435118, 0.16842037,\n",
+       "        0.11494572],\n",
+       "       ...,\n",
+       "       [0.00431482, 0.00388348, 0.00630981, ..., 0.00496825, 0.01302709,\n",
+       "        0.0066534 ],\n",
+       "       [0.00336156, 0.00744628, 0.00588296, ..., 0.00518299, 0.00960913,\n",
+       "        0.00696922],\n",
+       "       [0.00348909, 0.00444956, 0.00253593, ..., 0.00662928, 0.00311544,\n",
+       "        0.0066321 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_mean</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01978 0.03318 ... 0.003237</div><input id='attrs-b09106bf-1c16-4a22-8d1e-81362e81480d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b09106bf-1c16-4a22-8d1e-81362e81480d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a5fa30b-111b-4e9c-adae-5e4b374b5c8c' class='xr-var-data-in' type='checkbox'><label for='data-1a5fa30b-111b-4e9c-adae-5e4b374b5c8c' 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>VH_mean</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.01978468, 0.03317526, 0.05122132, ..., 0.1278438 , 0.11206219,\n",
+       "        0.07862695],\n",
+       "       [0.02983127, 0.05295548, 0.07390182, ..., 0.1544519 , 0.11919038,\n",
+       "        0.08003806],\n",
+       "       [0.04661358, 0.07003686, 0.08838344, ..., 0.1496976 , 0.11252023,\n",
+       "        0.07457688],\n",
+       "       ...,\n",
+       "       [0.00155804, 0.00161588, 0.00264122, ..., 0.00329824, 0.00361542,\n",
+       "        0.00206712],\n",
+       "       [0.00155148, 0.00217963, 0.00238249, ..., 0.00290533, 0.00317651,\n",
+       "        0.00251921],\n",
+       "       [0.00116949, 0.00165877, 0.00139102, ..., 0.00218505, 0.00180075,\n",
+       "        0.00323711]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_sd</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.009419 0.01686 ... 0.00193</div><input id='attrs-2c7e7d80-1c50-4cac-8f58-af20212c3e2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c7e7d80-1c50-4cac-8f58-af20212c3e2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e43cf43-e560-44fd-95a6-9e955b824a2c' class='xr-var-data-in' type='checkbox'><label for='data-6e43cf43-e560-44fd-95a6-9e955b824a2c' 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>VH_sd</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.00941931, 0.01685729, 0.02469561, ..., 0.08591115, 0.06487104,\n",
+       "        0.03994398],\n",
+       "       [0.01842893, 0.03180607, 0.03907879, ..., 0.07538059, 0.04117164,\n",
+       "        0.01954442],\n",
+       "       [0.03133715, 0.03918692, 0.04057009, ..., 0.05113091, 0.03679396,\n",
+       "        0.02576428],\n",
+       "       ...,\n",
+       "       [0.00141927, 0.00125762, 0.0018592 , ..., 0.00169285, 0.00433611,\n",
+       "        0.00202067],\n",
+       "       [0.00116786, 0.00235026, 0.0020393 , ..., 0.00185387, 0.00289492,\n",
+       "        0.0024544 ],\n",
+       "       [0.00133604, 0.0017832 , 0.00104416, ..., 0.00226273, 0.00095033,\n",
+       "        0.00192955]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.007442 0.01634 ... 0.0003386</div><input id='attrs-98dd233a-9f21-4792-9b7a-0248ed75efac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98dd233a-9f21-4792-9b7a-0248ed75efac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4db8b2ba-478e-49af-8262-3a57392ec729' class='xr-var-data-in' type='checkbox'><label for='data-4db8b2ba-478e-49af-8262-3a57392ec729' 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>VH_q10</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[7.4415309e-03, 1.6343007e-02, 2.4772413e-02, ..., 5.5835072e-02,\n",
+       "        4.0328607e-02, 3.1856596e-02],\n",
+       "       [9.0845078e-03, 1.8613091e-02, 3.0874813e-02, ..., 5.9993275e-02,\n",
+       "        5.3687811e-02, 4.7377892e-02],\n",
+       "       [1.0651190e-02, 1.9190351e-02, 3.1387392e-02, ..., 8.2894199e-02,\n",
+       "        7.3106125e-02, 4.1296154e-02],\n",
+       "       ...,\n",
+       "       [3.2187731e-05, 4.6482327e-04, 4.1350679e-04, ..., 3.3551207e-04,\n",
+       "        1.4962933e-04, 7.3057665e-05],\n",
+       "       [1.5885655e-05, 3.9615774e-05, 1.2235668e-04, ..., 3.0250914e-04,\n",
+       "        7.5182226e-04, 1.5585287e-04],\n",
+       "       [1.5885615e-05, 4.6827008e-05, 2.3712554e-04, ..., 1.6382546e-04,\n",
+       "        2.7883082e-04, 3.3861815e-04]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q50</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01642 0.02946 ... 0.003168</div><input id='attrs-82af64d1-03c9-4d7e-8ebc-b2a3583092ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82af64d1-03c9-4d7e-8ebc-b2a3583092ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d61cd641-830d-46c0-b800-05c3d74a6823' class='xr-var-data-in' type='checkbox'><label for='data-d61cd641-830d-46c0-b800-05c3d74a6823' 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>VH_q50</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.01641532, 0.02945656, 0.04615069, ..., 0.09937736, 0.09957799,\n",
+       "        0.06773166],\n",
+       "       [0.02633959, 0.05312615, 0.07025553, ..., 0.1448748 , 0.11684266,\n",
+       "        0.08433955],\n",
+       "       [0.04026382, 0.06566416, 0.09043089, ..., 0.12782589, 0.10272062,\n",
+       "        0.07347739],\n",
+       "       ...,\n",
+       "       [0.0014457 , 0.0012235 , 0.00271203, ..., 0.00357926, 0.00242533,\n",
+       "        0.00159997],\n",
+       "       [0.00157032, 0.00178378, 0.00173404, ..., 0.003209  , 0.00216497,\n",
+       "        0.00176098],\n",
+       "       [0.00079205, 0.00095888, 0.00126258, ..., 0.00131919, 0.00185058,\n",
+       "        0.0031679 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VH_q90</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03604 0.0584 ... 0.006632</div><input id='attrs-dc78cc75-6067-49f0-963e-0321494afb6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc78cc75-6067-49f0-963e-0321494afb6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-822f749a-afe6-411d-a042-60fbe232433c' class='xr-var-data-in' type='checkbox'><label for='data-822f749a-afe6-411d-a042-60fbe232433c' 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>VH_q90</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.03604072, 0.05839535, 0.08822469, ..., 0.32693267, 0.2599725 ,\n",
+       "        0.16062291],\n",
+       "       [0.06696388, 0.10971747, 0.14447221, ..., 0.31547707, 0.19647637,\n",
+       "        0.10249937],\n",
+       "       [0.10121775, 0.13220015, 0.14859372, ..., 0.24435118, 0.16842037,\n",
+       "        0.11494572],\n",
+       "       ...,\n",
+       "       [0.00431482, 0.00388348, 0.00630981, ..., 0.00496825, 0.01302709,\n",
+       "        0.0066534 ],\n",
+       "       [0.00336156, 0.00744628, 0.00588296, ..., 0.00518299, 0.00960913,\n",
+       "        0.00696922],\n",
+       "       [0.00348909, 0.00444956, 0.00253593, ..., 0.00662928, 0.00311544,\n",
+       "        0.0066321 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_min</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03823 0.0581 ... 0.002925</div><input id='attrs-6398ef16-33b0-4815-9c1a-3b62530adeb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6398ef16-33b0-4815-9c1a-3b62530adeb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed23007c-8498-4938-a206-2e1ec6f57a0d' class='xr-var-data-in' type='checkbox'><label for='data-ed23007c-8498-4938-a206-2e1ec6f57a0d' 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>VV_min</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[3.82329002e-02, 5.81044294e-02, 9.84530300e-02, ...,\n",
+       "        3.23727041e-01, 3.41812849e-01, 2.77307868e-01],\n",
+       "       [5.36972843e-02, 1.16618790e-01, 1.23972796e-01, ...,\n",
+       "        3.44944984e-01, 3.67321134e-01, 2.42612064e-01],\n",
+       "       [8.68130922e-02, 1.28296837e-01, 2.05426112e-01, ...,\n",
+       "        2.49633417e-01, 1.32964298e-01, 9.90427136e-02],\n",
+       "       ...,\n",
+       "       [4.80704126e-04, 8.40302615e-04, 8.09344347e-04, ...,\n",
+       "        3.48369405e-03, 5.71828044e-04, 3.22331092e-03],\n",
+       "       [2.80205859e-03, 2.71117990e-03, 1.38480763e-03, ...,\n",
+       "        4.25597979e-03, 1.65972699e-04, 4.20906581e-03],\n",
+       "       [2.71791941e-03, 4.16423287e-03, 2.36033788e-03, ...,\n",
+       "        3.97732435e-03, 3.30928364e-03, 2.92523764e-03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_max</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2145 0.352 ... 0.02271 0.04126</div><input id='attrs-f68d2e44-307f-420f-8d60-8b6682674eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f68d2e44-307f-420f-8d60-8b6682674eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a11645c5-14c9-4cb0-a8cf-84da9dba7045' class='xr-var-data-in' type='checkbox'><label for='data-a11645c5-14c9-4cb0-a8cf-84da9dba7045' 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>VV_max</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.21453455, 0.35201532, 0.44206226, ..., 0.7745028 , 0.7224579 ,\n",
+       "        0.58535093],\n",
+       "       [0.19568719, 0.3464168 , 0.5093019 , ..., 0.9756379 , 0.802884  ,\n",
+       "        0.6578531 ],\n",
+       "       [0.25700998, 0.40784222, 0.5935021 , ..., 1.0759932 , 0.7719225 ,\n",
+       "        0.54108393],\n",
+       "       ...,\n",
+       "       [0.01855026, 0.0191953 , 0.02520283, ..., 0.04316558, 0.04142256,\n",
+       "        0.03178509],\n",
+       "       [0.01793688, 0.01629219, 0.02929817, ..., 0.02198837, 0.02662462,\n",
+       "        0.03337206],\n",
+       "       [0.02471384, 0.02900133, 0.03170837, ..., 0.02347184, 0.02271392,\n",
+       "        0.04125684]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_mean</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.09626 0.1365 ... 0.01103 0.01548</div><input id='attrs-46ba8b62-98cd-4858-a5e8-251724235e55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46ba8b62-98cd-4858-a5e8-251724235e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8271ee70-a750-453d-98c7-b54c75e5e44e' class='xr-var-data-in' type='checkbox'><label for='data-8271ee70-a750-453d-98c7-b54c75e5e44e' 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>VV_mean</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.09625705, 0.13647287, 0.18718082, ..., 0.5496613 , 0.51692694,\n",
+       "        0.4102068 ],\n",
+       "       [0.09961063, 0.1633609 , 0.2353696 , ..., 0.6605072 , 0.56492525,\n",
+       "        0.41471007],\n",
+       "       [0.14946699, 0.25105995, 0.3585353 , ..., 0.6142653 , 0.45950067,\n",
+       "        0.3498352 ],\n",
+       "       ...,\n",
+       "       [0.00574651, 0.00542928, 0.00741474, ..., 0.01460892, 0.01497063,\n",
+       "        0.0144419 ],\n",
+       "       [0.0078292 , 0.00740209, 0.00846404, ..., 0.01040112, 0.01174255,\n",
+       "        0.01500158],\n",
+       "       [0.00813532, 0.00973692, 0.00984371, ..., 0.01012099, 0.01102888,\n",
+       "        0.01548478]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_sd</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05409 0.09378 ... 0.01286</div><input id='attrs-26072ba4-214c-47be-bb0c-acb042a590f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26072ba4-214c-47be-bb0c-acb042a590f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f924fc87-3d97-4eab-840a-5444aa0933bc' class='xr-var-data-in' type='checkbox'><label for='data-f924fc87-3d97-4eab-840a-5444aa0933bc' 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>VV_sd</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.05409231, 0.09378087, 0.11117973, ..., 0.17954879, 0.14689186,\n",
+       "        0.10922512],\n",
+       "       [0.0447595 , 0.07611188, 0.11615117, ..., 0.22754364, 0.17713465,\n",
+       "        0.14189446],\n",
+       "       [0.06593374, 0.08556262, 0.11674429, ..., 0.25365794, 0.22763157,\n",
+       "        0.141367  ],\n",
+       "       ...,\n",
+       "       [0.00583977, 0.00600125, 0.0081784 , ..., 0.01263162, 0.01270936,\n",
+       "        0.01037051],\n",
+       "       [0.00507251, 0.00514195, 0.00953319, ..., 0.00733791, 0.0082898 ,\n",
+       "        0.01043584],\n",
+       "       [0.0070393 , 0.00821903, 0.0096691 , ..., 0.00637131, 0.00651885,\n",
+       "        0.01285903]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.03823 0.0581 ... 0.002925</div><input id='attrs-066e35c2-a5b0-47c1-9abb-b9a4b50db174' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-066e35c2-a5b0-47c1-9abb-b9a4b50db174' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bde55c25-e408-4de8-a5ee-d12ade4a3096' class='xr-var-data-in' type='checkbox'><label for='data-bde55c25-e408-4de8-a5ee-d12ade4a3096' 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>VV_q10</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[3.82329002e-02, 5.81044294e-02, 9.84530300e-02, ...,\n",
+       "        3.23727041e-01, 3.41812849e-01, 2.77307868e-01],\n",
+       "       [5.36972843e-02, 1.16618790e-01, 1.23972796e-01, ...,\n",
+       "        3.44944984e-01, 3.67321134e-01, 2.42612064e-01],\n",
+       "       [8.68130922e-02, 1.28296837e-01, 2.05426112e-01, ...,\n",
+       "        2.49633417e-01, 1.32964298e-01, 9.90427136e-02],\n",
+       "       ...,\n",
+       "       [4.80704126e-04, 8.40302615e-04, 8.09344347e-04, ...,\n",
+       "        3.48369405e-03, 5.71828044e-04, 3.22331092e-03],\n",
+       "       [2.80205859e-03, 2.71117990e-03, 1.38480763e-03, ...,\n",
+       "        4.25597979e-03, 1.65972699e-04, 4.20906581e-03],\n",
+       "       [2.71791941e-03, 4.16423287e-03, 2.36033788e-03, ...,\n",
+       "        3.97732435e-03, 3.30928364e-03, 2.92523764e-03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q50</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.08684 0.1051 ... 0.009489 0.01156</div><input id='attrs-142b5127-3e40-4ce6-a26e-aed3c78e81fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-142b5127-3e40-4ce6-a26e-aed3c78e81fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6013aa-390c-4c95-9619-9cdbf8d2eeff' class='xr-var-data-in' type='checkbox'><label for='data-6a6013aa-390c-4c95-9619-9cdbf8d2eeff' 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>VV_q50</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.08684144, 0.10507031, 0.15785766, ..., 0.5336267 , 0.4663303 ,\n",
+       "        0.41561162],\n",
+       "       [0.08269721, 0.1327595 , 0.201277  , ..., 0.68295944, 0.514695  ,\n",
+       "        0.4009375 ],\n",
+       "       [0.12596725, 0.24027355, 0.34175518, ..., 0.5718068 , 0.4059891 ,\n",
+       "        0.34461385],\n",
+       "       ...,\n",
+       "       [0.00349785, 0.00344953, 0.0037301 , ..., 0.01074719, 0.01242693,\n",
+       "        0.01454905],\n",
+       "       [0.00563643, 0.00465483, 0.00359291, ..., 0.00712057, 0.01076274,\n",
+       "        0.01551143],\n",
+       "       [0.0061425 , 0.00736981, 0.00503082, ..., 0.00846156, 0.00948913,\n",
+       "        0.01156005]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VV_q90</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.2145 0.352 ... 0.02271 0.04126</div><input id='attrs-eb5b6605-2aca-41a9-9a3b-f599b0a1768f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb5b6605-2aca-41a9-9a3b-f599b0a1768f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-960b5adc-e305-40bc-902e-7c35c057d59b' class='xr-var-data-in' type='checkbox'><label for='data-960b5adc-e305-40bc-902e-7c35c057d59b' 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>VV_q90</dd><dt><span>units :</span></dt><dd></dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><pre>array([[0.21453455, 0.35201532, 0.44206226, ..., 0.7745028 , 0.7224579 ,\n",
+       "        0.58535093],\n",
+       "       [0.19568719, 0.3464168 , 0.5093019 , ..., 0.9756379 , 0.802884  ,\n",
+       "        0.6578531 ],\n",
+       "       [0.25700998, 0.40784222, 0.5935021 , ..., 1.0759932 , 0.7719225 ,\n",
+       "        0.54108393],\n",
+       "       ...,\n",
+       "       [0.01855026, 0.0191953 , 0.02520283, ..., 0.04316558, 0.04142256,\n",
+       "        0.03178509],\n",
+       "       [0.01793688, 0.01629219, 0.02929817, ..., 0.02198837, 0.02662462,\n",
+       "        0.03337206],\n",
+       "       [0.02471384, 0.02900133, 0.03170837, ..., 0.02347184, 0.02271392,\n",
+       "        0.04125684]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-424251ba-4659-4520-bf0b-a07fdbb6cc04' class='xr-section-summary-in' type='checkbox'  ><label for='section-424251ba-4659-4520-bf0b-a07fdbb6cc04' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b2ebf50d-31e5-4ba4-92a0-df544493e002' class='xr-index-data-in' type='checkbox'/><label for='index-b2ebf50d-31e5-4ba4-92a0-df544493e002' 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([485665.0, 485675.0, 485685.0, 485695.0, 485705.0, 485715.0, 485725.0,\n",
+       "       485735.0, 485745.0, 485755.0,\n",
+       "       ...\n",
+       "       493545.0, 493555.0, 493565.0, 493575.0, 493585.0, 493595.0, 493605.0,\n",
+       "       493615.0, 493625.0, 493635.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=798))</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-15f19321-13a0-4e2c-8be7-ba770408afc5' class='xr-index-data-in' type='checkbox'/><label for='index-15f19321-13a0-4e2c-8be7-ba770408afc5' 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([4921875.0, 4921865.0, 4921855.0, 4921845.0, 4921835.0, 4921825.0,\n",
+       "       4921815.0, 4921805.0, 4921795.0, 4921785.0,\n",
+       "       ...\n",
+       "       4916395.0, 4916385.0, 4916375.0, 4916365.0, 4916355.0, 4916345.0,\n",
+       "       4916335.0, 4916325.0, 4916315.0, 4916305.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=558))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6baf2034-51bb-4ca3-9f68-e8ed61e56eeb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6baf2034-51bb-4ca3-9f68-e8ed61e56eeb' 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>Conventions :</span></dt><dd>CF-1.9</dd><dt><span>institution :</span></dt><dd>openEO platform</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (x: 798, y: 558)\n",
+       "Coordinates:\n",
+       "  * x        (x) float64 4.857e+05 4.857e+05 4.857e+05 ... 4.936e+05 4.936e+05\n",
+       "  * y        (y) float64 4.922e+06 4.922e+06 4.922e+06 ... 4.916e+06 4.916e+06\n",
+       "Data variables: (12/14)\n",
+       "    VH_min   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_max   (y, x) float32 0.03604 0.0584 0.08822 ... 0.003115 0.006632\n",
+       "    VH_mean  (y, x) float32 0.01978 0.03318 0.05122 ... 0.001801 0.003237\n",
+       "    VH_sd    (y, x) float32 0.009419 0.01686 0.0247 ... 0.0009503 0.00193\n",
+       "    VH_q10   (y, x) float32 0.007442 0.01634 0.02477 ... 0.0002788 0.0003386\n",
+       "    VH_q50   (y, x) float32 0.01642 0.02946 0.04615 ... 0.001851 0.003168\n",
+       "    ...       ...\n",
+       "    VV_max   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "    VV_mean  (y, x) float32 0.09626 0.1365 0.1872 ... 0.01012 0.01103 0.01548\n",
+       "    VV_sd    (y, x) float32 0.05409 0.09378 0.1112 ... 0.006371 0.006519 0.01286\n",
+       "    VV_q10   (y, x) float32 0.03823 0.0581 0.09845 ... 0.003309 0.002925\n",
+       "    VV_q50   (y, x) float32 0.08684 0.1051 0.1579 ... 0.008462 0.009489 0.01156\n",
+       "    VV_q90   (y, x) float32 0.2145 0.352 0.4421 ... 0.02347 0.02271 0.04126\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.9\n",
+       "    institution:  openEO platform"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = xarray.load_dataset(\"s1sar.nc\").drop_vars(\"crs\")\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "24fdf8c9-caaf-4e21-8f44-6362f734e8c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f5e283818d0>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 525x225 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds[[\"VH_mean\", \"VV_mean\"]].to_array().plot.imshow(col=\"variable\", vmin=0, vmax=1)"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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+    }
+   },
+   "cell_type": "markdown",
+   "id": "77b9e147",
+   "metadata": {},
+   "source": [
+    "## Use the saved UDP in the openEO Platform Editor\n",
+    "\n",
+    "Alternatively, we can also switch into the openEO Platform Editor to run the newly created UDP in a graphical web interface. Open **<https://editor.openeo.cloud?discover=0>** in your web browser.\n",
+    "It opens the editor, connects you to openEO Platform and asks you to login.\n",
+    "Once you've logged in, you can explore the offerings of openEO Platform and the data associcated with your user account, including batch jobs and UDPs (\"Custom Processes\" in the Editor).\n",
+    "\n",
+    "The easiest way to run your UDP is to use the Wizard (*A*):\n",
+    "1. In the menu bar at the top you'll find the \"Wizard\". Click it to open.\n",
+    "2. You'll see a list of wizards, choose the \"Run UDP\" wizard.\n",
+    "3. It will show all your UDPs, choose the one you just created.\n",
+    "4. You'll now be asked to fill the parameters that you defined for your UDP.\n",
+    "5. After providing the parameters, you can click \"Next\" at the bottom right.\n",
+    "6. It will now open a list that allows to select the processing mode of your UDP:\n",
+    "   1. Batch Jobs\n",
+    "   2. Synchronous Processing\n",
+    "   3. Web Services\n",
+    "   4. Don't execute\n",
+    "\n",
+    "   Select \"Synchronous Processing\" (for small tasks, recommended for this tutorial) or \"Batch Jobs\" (for larger tasks).\n",
+    "7. Click \"Create\" and the Editor will send your processing task to the backend. Once completed the result will be shown or downloaded.\n",
+    "\n",
+    "![image.png](attachment:image.png)\n",
+    "\n",
+    "There are two other ways to interact with your UDP:\n",
+    "* *B:* On the left side the UDP is listed in the \"Processes\" list. You can type your UDP name into the search area to find it. You could then drag and drop it in the Visual Model Builder and use it as part of other workflows.\n",
+    "* *C:* In the lower part of the Editor, there's a tab with the title \"Custom Processes\". Here you can view, update and delete your UDPs."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a2a9b33-dbb1-44d1-8718-e7745f00cce6",
+   "metadata": {},
+   "source": [
+    "## Publishing your service online"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9c16511-b877-4d66-a497-9057ff70336d",
+   "metadata": {},
+   "source": [
+    "Once the UDP defined above is saved within the openEO platform, a user also has the option to add this service to the openEO Marketplace. \n",
+    "To register a User Defined Process (UDP), you must have a public URL for your service. You'll also need to provide the saved process ID, which can be located within the public URL.\n",
+    "\n",
+    "A detailed documentation on the process can be followed here:\n",
+    "[https://documentation.dataspace.copernicus.eu/Applications/PlazaDetails/ManageService.html#register-and-publish-your-service](https://documentation.dataspace.copernicus.eu/Applications/PlazaDetails/ManageService.html#register-and-publish-your-service)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "03954e6d-dbf7-4fca-935a-58db18fbe4d8",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "OpenEO",
+   "language": "python",
+   "name": "openeo"
+  },
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+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
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