diff --git a/SInCohMap_openEO_Sentinel2.ipynb b/SInCohMap_openEO_Sentinel2.ipynb
index 828b63c..e132d74 100644
--- a/SInCohMap_openEO_Sentinel2.ipynb
+++ b/SInCohMap_openEO_Sentinel2.ipynb
@@ -32,7 +32,20 @@
     "- Common use cases for optical data:\n",
     "    - Create and apply a cloud mask\n",
     "    - Create a cloud free median composite\n",
-    "    - Mask out the clouds and compute the monthly mean NDVI"
+    "    - Mask out the clouds and compute the monthly mean NDVI\n",
+    "    \n",
+    "## FAQ:\n",
+    "**Q: I receive a 403 error, what does it mean?**\n",
+    "\n",
+    "A: If you get a 403 error, it usually means that the connection with the openEO back-end dropped. Please re run\n",
+    "\n",
+    "`conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")`\n",
+    "\n",
+    "and re run you code from `load_collection` onwards.\n",
+    "\n",
+    "**Q: I receive a 500 error, what does it mean?**\n",
+    "\n",
+    "A: It is a server error: something went wrong processing your request. Please check carefully that the area and time range you are requesting are available in the datacube (you can use `conn.describe_collection('COLLECTION_NAME')`) Currently the error logs are not passed if you run your request as a synchronous call (i.e. using `.download()`). If you run you process as a batch job you will get a more informative error message."
    ]
   },
   {
diff --git a/SInCohMap_openEO_examples.ipynb b/SInCohMap_openEO_examples.ipynb
index 1c21e69..b37a9b6 100644
--- a/SInCohMap_openEO_examples.ipynb
+++ b/SInCohMap_openEO_examples.ipynb
@@ -25,16 +25,18 @@
     "\n",
     "Getting started guide for openEO with python: https://openeo.org/documentation/1.0/python/\n",
     "\n",
-    "## Topics:\n",
-    "- Login to Eurac's openEO backend containing the SInCohMap datacubes\n",
-    "- Discover the data sets and processes\n",
-    "- Access and process data via openEO processes\n",
-    "- Common use cases for radar data:\n",
-    "    - Compute the intensity over the area of interest with different Multi Look sizes in SAR and geocoded domain.\n",
-    "    - Geocode the obtained values.\n",
-    "    - Compute the coherence for a given temporal baseline.\n",
-    "- Common use cases for optical data:\n",
-    "    - Mask out the clouds and compute the weekly mean NDVI"
+    "## FAQ:\n",
+    "**Q: I receive a 403 error, what does it mean?**\n",
+    "\n",
+    "A: If you get a 403 error, it usually means that the connection with the openEO back-end dropped. Please re run\n",
+    "\n",
+    "`conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")`\n",
+    "\n",
+    "and re run you code from `load_collection` onwards.\n",
+    "\n",
+    "**Q: I receive a 500 error, what does it mean?**\n",
+    "\n",
+    "A: It is a server error: something went wrong processing your request. Please check carefully that the area and time range you are requesting are available in the datacube (you can use `conn.describe_collection('COLLECTION_NAME')`) Currently the error logs are not passed if you run your request as a synchronous call (i.e. using `.download()`). If you run you process as a batch job you will get a more informative error message."
    ]
   },
   {
@@ -47,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "0205484c-3eff-4825-bdae-78357b775897",
    "metadata": {
     "scrolled": true
@@ -16033,7 +16035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 8,
    "id": "a4fa0ed5-6678-4ca7-9442-c8521cfa0c90",
    "metadata": {
     "scrolled": true
@@ -24483,18 +24485,21 @@
    "id": "a1a06e33-674d-4890-a3d9-be0d06c54ceb",
    "metadata": {},
    "source": [
+    "\n",
     "### Load the datacube"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": null,
    "id": "d0775a26-949c-4210-b737-27786a8490f1",
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
+    "conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")\n",
+    "\n",
     "collection      = 'SAR2Cube_SInCohMap_S1_L0_147_ASC_DONYANA'\n",
     "temporal_extent = [\"2018-06-01T00:00:00.000Z\", \"2018-06-30T00:00:00.000Z\"]\n",
     "\n",
@@ -24697,24 +24702,6 @@
     "Load the datacube"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 134,
-   "id": "912de89d-5e9a-4068-a75a-575a929f3529",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Authenticated using refresh token.\n"
-     ]
-    }
-   ],
-   "source": [
-    "conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 112,
@@ -24724,9 +24711,11 @@
    },
    "outputs": [],
    "source": [
+    "conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")\n",
+    "\n",
     "collection      = 'SAR2Cube_SInCohMap_S1_L0_147_ASC_DONYANA'\n",
     "# collection      = 'SAR2Cube_SInCohMap_S1_L0_154_DSC_DONYANA'\n",
-    "# spatial_extent  = {'west':bbox[0],'east':bbox[2],'south':bbox[1],'north':bbox[3]}\n",
+    "spatial_extent  = {'west':bbox[0],'east':bbox[2],'south':bbox[1],'north':bbox[3]}\n",
     "temporal_extent = [\"2018-06-01T00:00:00.000Z\", \"2018-06-20T00:00:00.000Z\"]\n",
     "\n",
     "S1_slant_range = conn.load_collection(collection,spatial_extent=spatial_extent,temporal_extent=temporal_extent)"
@@ -24991,8 +24980,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "collection      = 'SAR2Cube_L0_117_ASC_ST_2016_2020_IFG_LIA_DEM'\n",
-    "# spatial_extent  = {'west':bbox[0],'east':bbox[2],'south':bbox[1],'north':bbox[3]}\n",
+    "conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")\n",
+    "\n",
+    "collection      = 'SAR2Cube_SInCohMap_S1_L0_147_ASC_DONYANA'\n",
+    "spatial_extent  = {'west':bbox[0],'east':bbox[2],'south':bbox[1],'north':bbox[3]}\n",
     "temporal_extent = [\"2018-01-01T00:00:00.000Z\", \"2019-01-01T00:00:00.000Z\"]\n",
     "\n",
     "S1_slant_range = conn.load_collection(collection,spatial_extent=spatial_extent,temporal_extent=temporal_extent)\n",
@@ -25023,7 +25014,7 @@
     "\n",
     "S1_INT_ML_MEAN = S1_INT_ML.reduce_dimension(reducer=mean, dimension='DATE')\n",
     "\n",
-    "args_geocoding = {'resolution':20,'crs':32632}\n",
+    "args_geocoding = {'resolution':20,'crs':32629}\n",
     "S1_INT_ML_GEOCODED = S1_INT_ML_MEAN.process(\"geocode\",args_geocoding, data=S1_INT_ML_MEAN)\n",
     "\n",
     "S1_INT_ML_GEOCODED_GTIFF = S1_INT_ML_GEOCODED.save_result(format='GTiff')"
@@ -25062,7 +25053,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "job_id = \"8bd3844b-2f2e-4aa6-96bc-2841e98315fc\"\n",
     "job = conn.job(job_id)"
    ]
   },
@@ -39081,6 +39071,69 @@
     "# Coherence computation on-the-fly"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7d2cef35-a659-40a0-98d6-f7da59ae5886",
+   "metadata": {},
+   "source": [
+    "## Select the AOI\n",
+    "Use the rectangle selection tool to select the area of interest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "910c431a-6e89-48bc-8f1a-5cfe50dad84c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "21197eec1bd14ee98ab9fbcb37e6eae6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Map(center=[37.2, -6.2], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_out…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "center = [37.2, -6.2]\n",
+    "zoom = 9\n",
+    "\n",
+    "eoMap = openeoMap(center,zoom)\n",
+    "eoMap.map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "0d486a20-0276-460a-86e9-70e16e525e2f",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coordinates selected from map: \n",
+      " west -6.107025 \n",
+      " east -6.05175 \n",
+      " south 37.121392 \n",
+      " north 37.144658\n"
+     ]
+    }
+   ],
+   "source": [
+    "bbox = eoMap.getBbox()\n",
+    "print(\"Coordinates selected from map:\",'\\n west',bbox[0],'\\n east',bbox[2],'\\n south',bbox[1],'\\n north',bbox[3])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "pharmaceutical-success",
@@ -39091,14 +39144,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 35,
    "id": "accompanied-setting",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Authenticated using refresh token.\n"
+     ]
+    }
+   ],
    "source": [
-    "collection      = 'SAR2Cube_L0_117_ASC_ST_2016_2020_IFG_LIA_DEM'\n",
+    "conn = openeo.connect(openeoHost).authenticate_oidc(client_id=\"openEO_PKCE\")\n",
+    "\n",
+    "collection      = 'SAR2Cube_SInCohMap_S1_L0_147_ASC_DONYANA'\n",
     "spatial_extent  = {'west':bbox[0],'east':bbox[2],'south':bbox[1],'north':bbox[3]}\n",
     "temporal_extent = [\"2018-06-05T00:00:00.000Z\", \"2018-07-05T00:00:00.000Z\"]\n",
     "\n",
@@ -39115,7 +39178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 36,
    "id": "casual-husband",
    "metadata": {},
    "outputs": [],
@@ -39126,7 +39189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 37,
    "id": "indian-basket",
    "metadata": {},
    "outputs": [],
@@ -39137,7 +39200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 38,
    "id": "phantom-combination",
    "metadata": {},
    "outputs": [],
@@ -39148,7 +39211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 39,
    "id": "cooked-entity",
    "metadata": {},
    "outputs": [],
@@ -39184,7 +39247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 40,
    "id": "similar-mathematics",
    "metadata": {
     "scrolled": true
@@ -39196,7 +39259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 41,
    "id": "tutorial-package",
    "metadata": {
     "scrolled": true
@@ -39217,7 +39280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 42,
    "id": "phantom-lesbian",
    "metadata": {
     "scrolled": true
@@ -39229,37 +39292,114 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 44,
    "id": "quality-programming",
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "args_geocoding = {'resolution':20,'crs':32632}\n",
-    "S1_COH_GEOCODED = S1_COH.process(\"geocode\",args_geocoding, data=S1_COH)"
+    "args_geocoding = {'resolution':60,'crs':32629}\n",
+    "S1_COH_GEOCODED = S1_COH.process(\"geocode\",args_geocoding, data=S1_COH)\n",
+    "S1_COH_GEOCODED_NC = S1_COH_GEOCODED.save_result(format='netCDF')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
-   "id": "daily-hometown",
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 45,
+   "id": "ef7ba6d5-fa19-4213-894a-c43c26e5f500",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 305 ms, sys: 68.7 ms, total: 373 ms\n",
-      "Wall time: 38.2 s\n"
+      "Batch job created with id:  30f23049-788e-4cc1-8ecc-6da69db4f9c5\n"
      ]
     }
    ],
    "source": [
-    "%%time\n",
-    "S1_COH_GEOCODED.download(\"./data/S1_COH_6DAYS_GEOCODED.nc\",format='netCDF')"
+    "job = conn.create_job(S1_COH_GEOCODED_NC,title=\"Donyana_6D_coherence\")\n",
+    "job_id = job.job_id\n",
+    "if job_id:\n",
+    "    print(\"Batch job created with id: \",job_id)\n",
+    "    job.start_job()\n",
+    "else:\n",
+    "    print(\"Error! Job ID is None\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "dfa2ec8a-5636-4ba8-843a-0303a18f7baf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "job = conn.job(job_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "4bca73dd-1b12-46c4-b409-cfa9619812ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <script>\n",
+       "    if (!window.customElements || !window.customElements.get('openeo-job')) {\n",
+       "        var el = document.createElement('script');\n",
+       "        el.src = \"https://cdn.jsdelivr.net/npm/@openeo/vue-components@2/assets/openeo.min.js\";\n",
+       "        document.head.appendChild(el);\n",
+       "\n",
+       "        var font = document.createElement('font');\n",
+       "        font.as = \"font\";\n",
+       "        font.type = \"font/woff2\";\n",
+       "        font.crossOrigin = true;\n",
+       "        font.href = \"https://use.fontawesome.com/releases/v5.13.0/webfonts/fa-solid-900.woff2\"\n",
+       "        document.head.appendChild(font);\n",
+       "    }\n",
+       "    </script>\n",
+       "    <openeo-job>\n",
+       "        <script type=\"application/json\">{\"currency\": null, \"job\": {\"id\": \"30f23049-788e-4cc1-8ecc-6da69db4f9c5\", \"ownerPrincipal\": \"michele.claus@eurac.edu\", \"title\": \"Donyana_6D_coherence\", \"description\": null, \"process\": {\"process_graph\": {\"loadcollection1\": {\"process_id\": \"load_collection\", \"arguments\": {\"temporal_extent\": [\"2018-06-05T00:00:00Z\", \"2018-07-05T00:00:00Z\"], \"spatial_extent\": {\"east\": -6.05175, \"south\": 37.121392, \"north\": 37.144658, \"west\": -6.107025}, \"id\": \"SAR2Cube_SInCohMap_S1_L0_147_ASC_DONYANA\"}}, \"saveresult1\": {\"result\": true, \"process_id\": \"save_result\", \"arguments\": {\"data\": {\"from_node\": \"geocode1\"}, \"format\": \"netCDF\", \"options\": {}}}, \"geocode1\": {\"process_id\": \"geocode\", \"arguments\": {\"data\": {\"from_node\": \"mergecubes2\"}, \"crs\": 32629, \"resolution\": 60}}, \"coherence1\": {\"process_id\": \"coherence\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection1\"}, \"timedelta\": 6}}, \"reducedimension2\": {\"process_id\": \"reduce_dimension\", \"arguments\": {\"data\": {\"from_node\": \"aggregatespatialwindow1\"}, \"reducer\": {\"process_graph\": {\"power5\": {\"process_id\": \"power\", \"arguments\": {\"p\": 2, \"base\": {\"from_node\": \"arrayelement4\"}}}, \"power6\": {\"result\": true, \"process_id\": \"power\", \"arguments\": {\"p\": 0.5, \"base\": {\"from_node\": \"add2\"}}}, \"arrayelement4\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"label\": \"q_VH\"}}, \"arrayelement3\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"label\": \"i_VH\"}}, \"add2\": {\"process_id\": \"add\", \"arguments\": {\"x\": {\"from_node\": \"power4\"}, \"y\": {\"from_node\": \"power5\"}}}, \"power4\": {\"process_id\": \"power\", \"arguments\": {\"p\": 2, \"base\": {\"from_node\": \"arrayelement3\"}}}}}, \"dimension\": \"bands\"}}, \"reducedimension3\": {\"process_id\": \"reduce_dimension\", \"arguments\": {\"data\": {\"from_node\": \"filterbands1\"}, \"reducer\": {\"process_graph\": {\"mean2\": {\"result\": true, \"process_id\": \"mean\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}}}}}, \"dimension\": \"DATE\"}}, \"aggregatespatialwindow2\": {\"process_id\": \"aggregate_spatial_window\", \"arguments\": {\"boundary\": \"trim\", \"data\": {\"from_node\": \"reducedimension3\"}, \"size\": [19, 4], \"reducer\": {\"process_graph\": {\"mean3\": {\"result\": true, \"process_id\": \"mean\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}}}}}}}, \"aggregatespatialwindow1\": {\"process_id\": \"aggregate_spatial_window\", \"arguments\": {\"boundary\": \"trim\", \"data\": {\"from_node\": \"coherence1\"}, \"size\": [19, 4], \"reducer\": {\"process_graph\": {\"mean1\": {\"result\": true, \"process_id\": \"mean\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}}}}}}}, \"reducedimension1\": {\"process_id\": \"reduce_dimension\", \"arguments\": {\"data\": {\"from_node\": \"aggregatespatialwindow1\"}, \"reducer\": {\"process_graph\": {\"arrayelement2\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"label\": \"q_VV\"}}, \"arrayelement1\": {\"process_id\": \"array_element\", \"arguments\": {\"data\": {\"from_parameter\": \"data\"}, \"label\": \"i_VV\"}}, \"power3\": {\"result\": true, \"process_id\": \"power\", \"arguments\": {\"p\": 0.5, \"base\": {\"from_node\": \"add1\"}}}, \"add1\": {\"process_id\": \"add\", \"arguments\": {\"x\": {\"from_node\": \"power1\"}, \"y\": {\"from_node\": \"power2\"}}}, \"power1\": {\"process_id\": \"power\", \"arguments\": {\"p\": 2, \"base\": {\"from_node\": \"arrayelement1\"}}}, \"power2\": {\"process_id\": \"power\", \"arguments\": {\"p\": 2, \"base\": {\"from_node\": \"arrayelement2\"}}}}}, \"dimension\": \"bands\"}}, \"mergecubes1\": {\"process_id\": \"merge_cubes\", \"arguments\": {\"cube2\": {\"from_node\": \"adddimension2\"}, \"cube1\": {\"from_node\": \"adddimension1\"}}}, \"mergecubes2\": {\"process_id\": \"merge_cubes\", \"arguments\": {\"cube2\": {\"from_node\": \"aggregatespatialwindow2\"}, \"cube1\": {\"from_node\": \"mergecubes1\"}}}, \"adddimension1\": {\"process_id\": \"add_dimension\", \"arguments\": {\"data\": {\"from_node\": \"reducedimension1\"}, \"name\": \"bands\", \"label\": \"COH_VV\"}}, \"filterbands1\": {\"process_id\": \"filter_bands\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection1\"}, \"bands\": [\"grid_lon\", \"grid_lat\"]}}, \"adddimension2\": {\"process_id\": \"add_dimension\", \"arguments\": {\"data\": {\"from_node\": \"reducedimension2\"}, \"name\": \"bands\", \"label\": \"COH_VH\"}}}}, \"status\": \"finished\", \"progress\": 100.0, \"created\": \"2022-01-14T16:01:15.555Z\", \"updated\": \"2022-01-14T16:01:48.082Z\", \"plan\": \"free\", \"costs\": null, \"budget\": null, \"engine\": \"ODC_DASK\"}}</script>\n",
+       "    </openeo-job>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<RESTJob job_id='30f23049-788e-4cc1-8ecc-6da69db4f9c5'>"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "job"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "d3739f24-4b15-4f9b-9cb7-be0ffd82a3cf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[PosixPath('job_result/process.json'), PosixPath('job_result/result.nc')]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result = job.get_results()\n",
+    "result.download_files(\"./data/\")"
    ]
   },
   {