diff --git a/python/GlobalFloodMonitoring/Global_Flood_Monitoring.ipynb b/python/GlobalFloodMonitoring/Global_Flood_Monitoring.ipynb
index 5f899fc..264f030 100644
--- a/python/GlobalFloodMonitoring/Global_Flood_Monitoring.ipynb
+++ b/python/GlobalFloodMonitoring/Global_Flood_Monitoring.ipynb
@@ -113,24 +113,91 @@
        "    }\n",
        "    </script>\n",
        "    <openeo-collection>\n",
-       "        <script type=\"application/json\">{\"mapOptions\": {}, \"data\": {\"cube:dimensions\": {\"bands\": {\"type\": \"bands\", \"values\": [\"flood_extent\", \"refwater\"]}, \"time\": {\"extent\": [[\"2015-01-01T00:00:00Z\", null]], \"type\": \"temporal\"}, \"x\": {\"axis\": \"x\", \"extent\": [-180, 180], \"type\": \"spatial\"}, \"y\": {\"axis\": \"y\", \"extent\": [-90, 90], \"type\": \"spatial\"}}, \"description\": \"The Global Flood Monitoring (GFM) product is a new component of the EU's Copernicus Emergency Management Service (CEMS) that provides continuous monitoring of floods worldwide, by processing and analysing in near real-time (NRT) all incoming Synthetic Aperture Radar (SAR) imagery acquired by the EU's Copernicus Sentinel-1 satellites, in Interferometric Wide Swath (IW) mode and as Ground Range Detected (GRD) products.\", \"extent\": {\"spatial\": {\"bbox\": [[-180, -90, 180, 90]]}, \"temporal\": {\"interval\": [[\"2015-01-01T00:00:00Z\", null]]}}, \"id\": \"GFM\", \"license\": \"proprietary\", \"links\": [{\"href\": \"https://dev.stac.eodc.eu/api/v1/collections/GFM/items\", \"rel\": \"items\", \"type\": \"application/geo+json\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections\", \"rel\": \"root\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections\", \"rel\": \"parent\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections/GFM\", \"rel\": \"self\"}], \"providers\": [{\"name\": \"JRC CEMS\", \"roles\": [\"licensor\"], \"url\": \"https://emergency.copernicus.eu/\"}, {\"name\": \"EODC\", \"roles\": [\"processor\", \"host\"], \"url\": \"https://eodc.eu/\"}], \"stac_extensions\": [\"https://stac-extensions.github.io/projection/v1.1.0/schema.json\", \"https://stac-extensions.github.io/eo/v1.1.0/schema.json\", \"https://stac-extensions.github.io/datacube/v2.2.0/schema.json\", \"https://stac-extensions.github.io/eo/v1.1.0/schema.json\"], \"stac_version\": \"1.0.0\", \"summaries\": {\"constellation\": [\"sentinel-1\"], \"eo:bands\": [{\"description\": \"GFM observed flood extent\", \"name\": \"flood_extent\"}, {\"description\": \"GFM reference water mask\", \"name\": \"refwater\"}], \"federation:backends\": [\"eodc\"], \"platform\": [\"sentinel-1a\", \"sentinel-1b\"]}, \"title\": \"Global Flood Monitoring\", \"type\": \"Collection\"}}</script>\n",
+       "        <script type=\"application/json\">{\"mapOptions\": {}, \"data\": {\"assets\": {\"thumbnail\": {\"href\": \"https://data.eodc.eu/collections/GFM_ARCHIVE/gfm_collection_thumbnail.png\", \"roles\": [\"thumbnail\"], \"title\": \"GFM collection thumbnail\", \"type\": \"iamge/png\"}}, \"cube:dimensions\": {\"bands\": {\"type\": \"bands\", \"values\": [\"advisory_flags\", \"exclusion_mask\", \"ensemble_flood_extent\", \"ensemble_likelihood\", \"ensemble_water_extent\", \"reference_water_mask\", \"dlr_flood_extent\", \"dlr_likelihood\", \"list_flood_extent\", \"list_likelihood\", \"tuw_flood_extent\", \"tuw_likelihood\"]}, \"t\": {\"extent\": [[\"2015-01-01T00:00:00Z\", null]], \"type\": \"temporal\"}, \"x\": {\"axis\": \"x\", \"extent\": [-180, 180], \"type\": \"spatial\"}, \"y\": {\"axis\": \"y\", \"extent\": [-90, 90], \"type\": \"spatial\"}}, \"description\": \"The Global Flood Monitoring (GFM) product is a new component of the EU's Copernicus Emergency Management Service (CEMS) that provides continuous monitoring of floods worldwide, by processing and analysing in near real-time (NRT) all incoming Synthetic Aperture Radar (SAR) imagery acquired by the EU's Copernicus Sentinel-1 satellites, in Interferometric Wide Swath (IW) mode and as Ground Range Detected (GRD) products.\", \"extent\": {\"spatial\": {\"bbox\": [[-180, -90, 180, 90]]}, \"temporal\": {\"interval\": [[\"2015-01-01T00:00:00Z\", null]]}}, \"id\": \"GFM\", \"item_assets\": {\"advisory_flags\": {\"description\": \"GFM advisory flags\", \"roles\": [\"data\"], \"title\": \"GFM advisory flags\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"dlr_flood_extent\": {\"description\": \"GFM observed flood extent (DLR)\", \"roles\": [\"data\"], \"title\": \"GFM observed flood extent (DLR)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"dlr_likelihood\": {\"description\": \"GFM likelihood (DLR)\", \"roles\": [\"data\"], \"title\": \"GFM likelihood (DLR)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"ensemble_flood_extent\": {\"description\": \"GFM observed flood extent (ENSEMBLE)\", \"roles\": [\"data\"], \"title\": \"GFM observed flood extent (ENSEMBLE)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"ensemble_likelihood\": {\"description\": \"GFM likelihood (ENSEMBLE)\", \"roles\": [\"data\"], \"title\": \"GFM likelihood (ENSEMBLE)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"ensemble_water_extent\": {\"description\": \"GFM observed water extent\", \"roles\": [\"data\"], \"title\": \"GFM observed water extent\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"exclusion_mask\": {\"description\": \"GFM exclusion mask\", \"roles\": [\"data\"], \"title\": \"GFM exclusion mask\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"list_flood_extent\": {\"description\": \"GFM observed flood extent (LIST)\", \"roles\": [\"data\"], \"title\": \"GFM observed flood extent (LIST)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"list_likelihood\": {\"description\": \"GFM likelihood (LIST)\", \"roles\": [\"data\"], \"title\": \"GFM likelihood (LIST)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"reference_water_mask\": {\"description\": \"GFM reference water mask\", \"roles\": [\"data\"], \"title\": \"GFM reference water mask\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"tuw_flood_extent\": {\"description\": \"GFM observed flood extent (TUW)\", \"roles\": [\"data\"], \"title\": \"GFM observed flood extent (TUW)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}, \"tuw_likelihood\": {\"description\": \"GFM likelihood (TUW)\", \"roles\": [\"data\"], \"title\": \"GFM likelihood (TUW)\", \"type\": \"image/tiff; application=geotiff; profile=cloud-optimized\"}}, \"keywords\": [\"sentinel\", \"copernicus\", \"esa\", \"jrc\", \"flood\"], \"license\": \"proprietary\", \"links\": [{\"href\": \"https://stac.eodc.eu/api/v1/collections/GFM/items\", \"rel\": \"items\", \"type\": \"application/geo+json\"}, {\"href\": \"https://extwiki.eodc.eu/en/GFM\", \"rel\": \"about\", \"title\": \"Global Flood Monitoring Wiki\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections\", \"rel\": \"root\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections\", \"rel\": \"parent\"}, {\"href\": \"https://openeocloud.vito.be/openeo/1.0.0/collections/GFM\", \"rel\": \"self\"}], \"providers\": [{\"name\": \"JRC CEMS\", \"roles\": [\"licensor\"], \"url\": \"https://emergency.copernicus.eu/\"}, {\"name\": \"EODC\", \"roles\": [\"processor\", \"host\"], \"url\": \"https://eodc.eu/\"}], \"stac_extensions\": [\"https://stac-extensions.github.io/eo/v1.1.0/schema.json\", \"https://stac-extensions.github.io/projection/v1.1.0/schema.json\", \"https://stac-extensions.github.io/raster/v1.1.0/schema.json\", \"https://stac-extensions.github.io/datacube/v2.2.0/schema.json\", \"https://stac-extensions.github.io/processing/v1.2.0/schema.json\", \"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json\"], \"stac_version\": \"1.0.0\", \"summaries\": {\"constellation\": [\"sentinel-1\"], \"eo:bands\": [{\"description\": \"GFM advisory flags\", \"name\": \"advisory_flags\"}, {\"description\": \"GFM exclusion mask\", \"name\": \"exclusion_mask\"}, {\"description\": \"GFM observed flood extent (ENSEMBLE)\", \"name\": \"ensemble_flood_extent\"}, {\"description\": \"GFM likelihood (ENSEMBLE)\", \"name\": \"ensemble_likelihood\"}, {\"description\": \"GFM observed water extent\", \"name\": \"ensemble_water_extent\"}, {\"description\": \"GFM reference water mask\", \"name\": \"reference_water_mask\"}, {\"description\": \"GFM observed flood extent (DLR)\", \"name\": \"dlr_flood_extent\"}, {\"description\": \"GFM likelihood (DLR)\", \"name\": \"dlr_likelihood\"}, {\"description\": \"GFM observed flood extent (LIST)\", \"name\": \"list_flood_extent\"}, {\"description\": \"GFM likelihood (LIST)\", \"name\": \"list_likelihood\"}, {\"description\": \"GFM observed flood extent (TUW)\", \"name\": \"tuw_flood_extent\"}, {\"description\": \"GFM likelihood (TUW)\", \"name\": \"tuw_likelihood\"}], \"federation:backends\": [\"eodc\"], \"platform\": [\"sentinel-1a\", \"sentinel-1b\"]}, \"title\": \"Global Flood Monitoring\", \"type\": \"Collection\"}}</script>\n",
        "    </openeo-collection>\n",
        "    "
       ],
       "text/plain": [
-       "{'cube:dimensions': {'bands': {'type': 'bands',\n",
-       "   'values': ['flood_extent', 'refwater']},\n",
-       "  'time': {'extent': [['2015-01-01T00:00:00Z', None]], 'type': 'temporal'},\n",
+       "{'assets': {'thumbnail': {'href': 'https://data.eodc.eu/collections/GFM_ARCHIVE/gfm_collection_thumbnail.png',\n",
+       "   'roles': ['thumbnail'],\n",
+       "   'title': 'GFM collection thumbnail',\n",
+       "   'type': 'iamge/png'}},\n",
+       " 'cube:dimensions': {'bands': {'type': 'bands',\n",
+       "   'values': ['advisory_flags',\n",
+       "    'exclusion_mask',\n",
+       "    'ensemble_flood_extent',\n",
+       "    'ensemble_likelihood',\n",
+       "    'ensemble_water_extent',\n",
+       "    'reference_water_mask',\n",
+       "    'dlr_flood_extent',\n",
+       "    'dlr_likelihood',\n",
+       "    'list_flood_extent',\n",
+       "    'list_likelihood',\n",
+       "    'tuw_flood_extent',\n",
+       "    'tuw_likelihood']},\n",
+       "  't': {'extent': [['2015-01-01T00:00:00Z', None]], 'type': 'temporal'},\n",
        "  'x': {'axis': 'x', 'extent': [-180, 180], 'type': 'spatial'},\n",
        "  'y': {'axis': 'y', 'extent': [-90, 90], 'type': 'spatial'}},\n",
        " 'description': \"The Global Flood Monitoring (GFM) product is a new component of the EU's Copernicus Emergency Management Service (CEMS) that provides continuous monitoring of floods worldwide, by processing and analysing in near real-time (NRT) all incoming Synthetic Aperture Radar (SAR) imagery acquired by the EU's Copernicus Sentinel-1 satellites, in Interferometric Wide Swath (IW) mode and as Ground Range Detected (GRD) products.\",\n",
        " 'extent': {'spatial': {'bbox': [[-180, -90, 180, 90]]},\n",
        "  'temporal': {'interval': [['2015-01-01T00:00:00Z', None]]}},\n",
        " 'id': 'GFM',\n",
+       " 'item_assets': {'advisory_flags': {'description': 'GFM advisory flags',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM advisory flags',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'dlr_flood_extent': {'description': 'GFM observed flood extent (DLR)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM observed flood extent (DLR)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'dlr_likelihood': {'description': 'GFM likelihood (DLR)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM likelihood (DLR)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'ensemble_flood_extent': {'description': 'GFM observed flood extent (ENSEMBLE)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM observed flood extent (ENSEMBLE)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'ensemble_likelihood': {'description': 'GFM likelihood (ENSEMBLE)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM likelihood (ENSEMBLE)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'ensemble_water_extent': {'description': 'GFM observed water extent',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM observed water extent',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'exclusion_mask': {'description': 'GFM exclusion mask',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM exclusion mask',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'list_flood_extent': {'description': 'GFM observed flood extent (LIST)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM observed flood extent (LIST)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'list_likelihood': {'description': 'GFM likelihood (LIST)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM likelihood (LIST)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'reference_water_mask': {'description': 'GFM reference water mask',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM reference water mask',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'tuw_flood_extent': {'description': 'GFM observed flood extent (TUW)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM observed flood extent (TUW)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'},\n",
+       "  'tuw_likelihood': {'description': 'GFM likelihood (TUW)',\n",
+       "   'roles': ['data'],\n",
+       "   'title': 'GFM likelihood (TUW)',\n",
+       "   'type': 'image/tiff; application=geotiff; profile=cloud-optimized'}},\n",
+       " 'keywords': ['sentinel', 'copernicus', 'esa', 'jrc', 'flood'],\n",
        " 'license': 'proprietary',\n",
-       " 'links': [{'href': 'https://dev.stac.eodc.eu/api/v1/collections/GFM/items',\n",
+       " 'links': [{'href': 'https://stac.eodc.eu/api/v1/collections/GFM/items',\n",
        "   'rel': 'items',\n",
        "   'type': 'application/geo+json'},\n",
+       "  {'href': 'https://extwiki.eodc.eu/en/GFM',\n",
+       "   'rel': 'about',\n",
+       "   'title': 'Global Flood Monitoring Wiki'},\n",
        "  {'href': 'https://openeocloud.vito.be/openeo/1.0.0/collections',\n",
        "   'rel': 'root'},\n",
        "  {'href': 'https://openeocloud.vito.be/openeo/1.0.0/collections',\n",
@@ -141,15 +208,31 @@
        "   'roles': ['licensor'],\n",
        "   'url': 'https://emergency.copernicus.eu/'},\n",
        "  {'name': 'EODC', 'roles': ['processor', 'host'], 'url': 'https://eodc.eu/'}],\n",
-       " 'stac_extensions': ['https://stac-extensions.github.io/projection/v1.1.0/schema.json',\n",
-       "  'https://stac-extensions.github.io/eo/v1.1.0/schema.json',\n",
+       " 'stac_extensions': ['https://stac-extensions.github.io/eo/v1.1.0/schema.json',\n",
+       "  'https://stac-extensions.github.io/projection/v1.1.0/schema.json',\n",
+       "  'https://stac-extensions.github.io/raster/v1.1.0/schema.json',\n",
        "  'https://stac-extensions.github.io/datacube/v2.2.0/schema.json',\n",
-       "  'https://stac-extensions.github.io/eo/v1.1.0/schema.json'],\n",
+       "  'https://stac-extensions.github.io/processing/v1.2.0/schema.json',\n",
+       "  'https://stac-extensions.github.io/item-assets/v1.0.0/schema.json'],\n",
        " 'stac_version': '1.0.0',\n",
        " 'summaries': {'constellation': ['sentinel-1'],\n",
-       "  'eo:bands': [{'description': 'GFM observed flood extent',\n",
-       "    'name': 'flood_extent'},\n",
-       "   {'description': 'GFM reference water mask', 'name': 'refwater'}],\n",
+       "  'eo:bands': [{'description': 'GFM advisory flags', 'name': 'advisory_flags'},\n",
+       "   {'description': 'GFM exclusion mask', 'name': 'exclusion_mask'},\n",
+       "   {'description': 'GFM observed flood extent (ENSEMBLE)',\n",
+       "    'name': 'ensemble_flood_extent'},\n",
+       "   {'description': 'GFM likelihood (ENSEMBLE)', 'name': 'ensemble_likelihood'},\n",
+       "   {'description': 'GFM observed water extent',\n",
+       "    'name': 'ensemble_water_extent'},\n",
+       "   {'description': 'GFM reference water mask', 'name': 'reference_water_mask'},\n",
+       "   {'description': 'GFM observed flood extent (DLR)',\n",
+       "    'name': 'dlr_flood_extent'},\n",
+       "   {'description': 'GFM likelihood (DLR)', 'name': 'dlr_likelihood'},\n",
+       "   {'description': 'GFM observed flood extent (LIST)',\n",
+       "    'name': 'list_flood_extent'},\n",
+       "   {'description': 'GFM likelihood (LIST)', 'name': 'list_likelihood'},\n",
+       "   {'description': 'GFM observed flood extent (TUW)',\n",
+       "    'name': 'tuw_flood_extent'},\n",
+       "   {'description': 'GFM likelihood (TUW)', 'name': 'tuw_likelihood'}],\n",
        "  'federation:backends': ['eodc'],\n",
        "  'platform': ['sentinel-1a', 'sentinel-1b']},\n",
        " 'title': 'Global Flood Monitoring',\n",
@@ -191,7 +274,7 @@
     "    collection, \n",
     "    spatial_extent=spatial_extent, \n",
     "    temporal_extent=temporal_extent, \n",
-    "    bands = [\"flood_extent\"]\n",
+    "    bands = [\"ensemble_flood_extent\"]\n",
     ")\n",
     "gfm_sum = gfm_data.reduce_dimension(dimension=\"t\", reducer=sum)\n",
     "\n",
@@ -210,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "f1114236-37c6-4670-8ae2-b1ee796f439f",
    "metadata": {},
    "outputs": [
@@ -220,7 +303,7 @@
        "'finished'"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -231,7 +314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "746598b4-85ac-4117-a769-9b73a297b92c",
    "metadata": {},
    "outputs": [
@@ -257,7 +340,7 @@
        " PosixPath('gfm/flood_extent_wgs/job-results.json')]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -276,7 +359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "50620bfd-2b32-497c-8f74-7c3a62676594",
    "metadata": {},
    "outputs": [],
@@ -289,7 +372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "3a78223d-a849-483e-a406-a62eeeb0b5b6",
    "metadata": {},
    "outputs": [],
@@ -322,7 +405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "4ec93a2b-a86d-4b13-aec1-79722eff0578",
    "metadata": {},
    "outputs": [
@@ -700,7 +783,7 @@
        "  * y        (y) float64 25.2 25.2 25.2 25.2 25.2 ... 25.14 25.14 25.14 25.14\n",
        "Attributes:\n",
        "    AREA_OR_POINT:  Area\n",
-       "    grid_mapping:   spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'built'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 750</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-368f569c-01ce-4e81-882d-a17dd58c6ee9' class='xr-array-in' type='checkbox' checked><label for='section-368f569c-01ce-4e81-882d-a17dd58c6ee9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[375000 values with dtype=int8]</pre></div></div></li><li class='xr-section-item'><input id='section-149ece66-be71-4e18-8632-8ed7c92cf3fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-149ece66-be71-4e18-8632-8ed7c92cf3fe' 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>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff92f1d9-4e9b-4337-92ea-23d458ae63a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff92f1d9-4e9b-4337-92ea-23d458ae63a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53569882-022c-4d63-9bd5-005470ae63c3' class='xr-var-data-in' type='checkbox'><label for='data-53569882-022c-4d63-9bd5-005470ae63c3' 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'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</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'>69.1 69.1 69.1 ... 69.14 69.14</div><input id='attrs-7b1e0c21-2d2b-47e2-8983-080ab800eec2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b1e0c21-2d2b-47e2-8983-080ab800eec2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57280495-76f5-453d-acf7-9ee14d972b25' class='xr-var-data-in' type='checkbox'><label for='data-57280495-76f5-453d-acf7-9ee14d972b25' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([69.100027, 69.100107, 69.100187, ..., 69.139774, 69.139854, 69.139934])</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'>25.2 25.2 25.2 ... 25.14 25.14</div><input id='attrs-deb7101e-2a36-45a8-ac91-59a5be4b27dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deb7101e-2a36-45a8-ac91-59a5be4b27dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf4f39c-d7fc-49dc-9e49-d2baad4654af' class='xr-var-data-in' type='checkbox'><label for='data-7bf4f39c-d7fc-49dc-9e49-d2baad4654af' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.199972, 25.199892, 25.199812, ..., 25.140232, 25.140152, 25.140072])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32d78b1c-d08f-4426-80d8-17864a86062b' class='xr-section-summary-in' type='checkbox'  ><label for='section-32d78b1c-d08f-4426-80d8-17864a86062b' 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-f86e0a3f-b1d6-47cf-ab21-5c1f76d0af3e' class='xr-index-data-in' type='checkbox'/><label for='index-f86e0a3f-b1d6-47cf-ab21-5c1f76d0af3e' 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([69.10002710430724, 69.10010707836112,   69.100187052415,\n",
+       "    grid_mapping:   spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'built'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 750</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-36e1d0e4-d1f0-4927-be28-ba52e6fe8d57' class='xr-array-in' type='checkbox' checked><label for='section-36e1d0e4-d1f0-4927-be28-ba52e6fe8d57' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[375000 values with dtype=int8]</pre></div></div></li><li class='xr-section-item'><input id='section-8087c79a-36be-454c-96ca-efe28f8120a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8087c79a-36be-454c-96ca-efe28f8120a1' 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>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf0442e0-f34f-4215-8659-d7040926e6bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf0442e0-f34f-4215-8659-d7040926e6bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6a0004f-d8ee-4494-8086-7ee0ce02f8a6' class='xr-var-data-in' type='checkbox'><label for='data-f6a0004f-d8ee-4494-8086-7ee0ce02f8a6' 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'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</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'>69.1 69.1 69.1 ... 69.14 69.14</div><input id='attrs-62abe866-25a1-4da2-8750-179547b6a66b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62abe866-25a1-4da2-8750-179547b6a66b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22261862-2373-4eb9-988e-c3324785b422' class='xr-var-data-in' type='checkbox'><label for='data-22261862-2373-4eb9-988e-c3324785b422' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([69.100027, 69.100107, 69.100187, ..., 69.139774, 69.139854, 69.139934])</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'>25.2 25.2 25.2 ... 25.14 25.14</div><input id='attrs-e12431ab-1944-4c2a-bce3-47a329ce6a0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e12431ab-1944-4c2a-bce3-47a329ce6a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1f46a74-0867-432b-b836-9e9ada6d5f68' class='xr-var-data-in' type='checkbox'><label for='data-f1f46a74-0867-432b-b836-9e9ada6d5f68' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([25.199972, 25.199892, 25.199812, ..., 25.140232, 25.140152, 25.140072])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfb8dfb2-1cea-4e4a-9918-532eb14cbca2' class='xr-section-summary-in' type='checkbox'  ><label for='section-bfb8dfb2-1cea-4e4a-9918-532eb14cbca2' 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-1ed3e122-ee7a-424a-a537-083b84c0abb2' class='xr-index-data-in' type='checkbox'/><label for='index-1ed3e122-ee7a-424a-a537-083b84c0abb2' 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([69.10002710430724, 69.10010707836112,   69.100187052415,\n",
        "       69.10026702646887, 69.10034700052275, 69.10042697457662,\n",
        "       69.10050694863048, 69.10058692268436, 69.10066689673823,\n",
        "       69.10074687079211,\n",
@@ -709,7 +792,7 @@
        "       69.13945431286736, 69.13953428692123, 69.13961426097511,\n",
        "       69.13969423502897, 69.13977420908284, 69.13985418313672,\n",
        "        69.1399341571906],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=500))</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-a0fc853f-60a4-450f-b752-6cd4f2a8f667' class='xr-index-data-in' type='checkbox'/><label for='index-a0fc853f-60a4-450f-b752-6cd4f2a8f667' 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([25.199972280901584,  25.19989230684771, 25.199812332793833,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=500))</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-7e87cf14-a9e8-49ca-963d-3b8b806ce47c' class='xr-index-data-in' type='checkbox'/><label for='index-7e87cf14-a9e8-49ca-963d-3b8b806ce47c' 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([25.199972280901584,  25.19989230684771, 25.199812332793833,\n",
        "       25.199732358739958, 25.199652384686082,  25.19957241063221,\n",
        "       25.199492436578335,  25.19941246252446, 25.199332488470585,\n",
        "       25.199252514416713,\n",
@@ -718,7 +801,7 @@
        "       25.140551558872854, 25.140471584818982, 25.140391610765107,\n",
        "       25.140311636711232, 25.140231662657357,  25.14015168860348,\n",
        "       25.140071714549606],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=750))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08f76d98-3632-4bd9-a282-7b3df3ded69d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-08f76d98-3632-4bd9-a282-7b3df3ded69d' 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>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=750))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f1e14ba-b52a-42ec-8254-c7ecab32a835' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f1e14ba-b52a-42ec-8254-c7ecab32a835' 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>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'built' (y: 750, x: 500)>\n",
@@ -743,7 +826,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "837815c4-409b-4b33-972c-354a204f178a",
    "metadata": {},
    "outputs": [
@@ -1125,13 +1208,13 @@
        "    band         int64 1\n",
        "  * x            (x) float64 69.1 69.1 69.1 69.1 ... 69.14 69.14 69.14 69.14\n",
        "  * y            (y) float64 25.2 25.2 25.2 25.2 ... 25.14 25.14 25.14 25.14\n",
-       "    spatial_ref  int64 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 333</li><li><span class='xr-has-index'>x</span>: 222</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-70b628c6-a9a9-4761-a3bd-2b0ae518efe2' class='xr-array-in' type='checkbox' checked><label for='section-70b628c6-a9a9-4761-a3bd-2b0ae518efe2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "    spatial_ref  int64 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 333</li><li><span class='xr-has-index'>x</span>: 222</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-95c67d96-1ce5-4a58-9bc5-3682ae401d53' class='xr-array-in' type='checkbox' checked><label for='section-95c67d96-1ce5-4a58-9bc5-3682ae401d53' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       ...,\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
        "       [nan, nan, nan, ..., nan, nan, nan],\n",
-       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8acb3e4c-9522-4707-934b-70a8b733458f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8acb3e4c-9522-4707-934b-70a8b733458f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-b25649ab-1181-4f89-898d-a45a126b0dac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b25649ab-1181-4f89-898d-a45a126b0dac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1dbb509-6a3c-4f1d-8267-3814dafa4bee' class='xr-var-data-in' type='checkbox'><label for='data-f1dbb509-6a3c-4f1d-8267-3814dafa4bee' 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'></dl></div><div class='xr-var-data'><pre>array(1)</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'>69.1 69.1 69.1 ... 69.14 69.14</div><input id='attrs-fd41b477-ead9-4a21-918c-583046080500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd41b477-ead9-4a21-918c-583046080500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-441758fa-baac-44d7-90a2-b9b9869ef27c' class='xr-var-data-in' type='checkbox'><label for='data-441758fa-baac-44d7-90a2-b9b9869ef27c' 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'></dl></div><div class='xr-var-data'><pre>array([69.10011, 69.10029, 69.10047, ..., 69.13953, 69.13971, 69.13989])</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'>25.2 25.2 25.2 ... 25.14 25.14</div><input id='attrs-e61136bd-deb3-49ec-b7ba-1157006b1c23' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e61136bd-deb3-49ec-b7ba-1157006b1c23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01bfaa77-26a4-4ec6-8873-450e4ebb2495' class='xr-var-data-in' type='checkbox'><label for='data-01bfaa77-26a4-4ec6-8873-450e4ebb2495' 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'></dl></div><div class='xr-var-data'><pre>array([25.19991, 25.19973, 25.19955, ..., 25.14051, 25.14033, 25.14015])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5c02351f-c0a2-439a-8af8-1fe1fcd3a7fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c02351f-c0a2-439a-8af8-1fe1fcd3a7fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dd59b24-2e05-4484-adc1-474909daa018' class='xr-var-data-in' type='checkbox'><label for='data-0dd59b24-2e05-4484-adc1-474909daa018' 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'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-590bf0ea-664d-4394-84a0-d0b1f08de2f3' class='xr-section-summary-in' type='checkbox'  ><label for='section-590bf0ea-664d-4394-84a0-d0b1f08de2f3' 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-c888e987-7a6b-4d79-a19b-dab8094dfa8e' class='xr-index-data-in' type='checkbox'/><label for='index-c888e987-7a6b-4d79-a19b-dab8094dfa8e' 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([         69.10011,          69.10029,          69.10047,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-58b2e7b0-35b1-40c9-8d91-303280b64caf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58b2e7b0-35b1-40c9-8d91-303280b64caf' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-c8723ca0-adce-473f-b29b-293b0a465704' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8723ca0-adce-473f-b29b-293b0a465704' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91339213-5b55-40f5-b335-41b5ed3f2b4f' class='xr-var-data-in' type='checkbox'><label for='data-91339213-5b55-40f5-b335-41b5ed3f2b4f' 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'></dl></div><div class='xr-var-data'><pre>array(1)</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'>69.1 69.1 69.1 ... 69.14 69.14</div><input id='attrs-7030d915-4f74-4562-9804-8adc755199be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7030d915-4f74-4562-9804-8adc755199be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d3457d1-6592-4d57-bc00-2e7ae75db782' class='xr-var-data-in' type='checkbox'><label for='data-1d3457d1-6592-4d57-bc00-2e7ae75db782' 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'></dl></div><div class='xr-var-data'><pre>array([69.10011, 69.10029, 69.10047, ..., 69.13953, 69.13971, 69.13989])</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'>25.2 25.2 25.2 ... 25.14 25.14</div><input id='attrs-e60ffe19-8ecc-4a89-b712-d748d40d1066' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e60ffe19-8ecc-4a89-b712-d748d40d1066' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-332c8127-e4ad-43e8-aebb-0857d82c1880' class='xr-var-data-in' type='checkbox'><label for='data-332c8127-e4ad-43e8-aebb-0857d82c1880' 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'></dl></div><div class='xr-var-data'><pre>array([25.19991, 25.19973, 25.19955, ..., 25.14051, 25.14033, 25.14015])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fcca764c-df70-4664-8c6f-426387fd85e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcca764c-df70-4664-8c6f-426387fd85e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fbe8911-e431-41f3-a3e0-cd9be19b8b3c' class='xr-var-data-in' type='checkbox'><label for='data-7fbe8911-e431-41f3-a3e0-cd9be19b8b3c' 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'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36f038f6-7b25-4d1c-8bfa-32888696cec6' class='xr-section-summary-in' type='checkbox'  ><label for='section-36f038f6-7b25-4d1c-8bfa-32888696cec6' 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-9360848f-23a1-42e8-8283-403cdb8c16a8' class='xr-index-data-in' type='checkbox'/><label for='index-9360848f-23a1-42e8-8283-403cdb8c16a8' 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([         69.10011,          69.10029,          69.10047,\n",
        "                69.10065,          69.10083,          69.10101,\n",
        "                69.10119,          69.10137,          69.10155,\n",
        "                69.10173,\n",
@@ -1140,7 +1223,7 @@
        "       69.13880999999999, 69.13898999999999,          69.13917,\n",
        "                69.13935,          69.13953,          69.13971,\n",
        "                69.13989],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=222))</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-9d2c0e1d-62c6-44c3-bbe1-47376237117a' class='xr-index-data-in' type='checkbox'/><label for='index-9d2c0e1d-62c6-44c3-bbe1-47376237117a' 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([25.199910000000003, 25.199730000000002, 25.199550000000002,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=222))</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-6eedb7ca-0f54-4f6c-af64-de8f61a6bfcf' class='xr-index-data-in' type='checkbox'/><label for='index-6eedb7ca-0f54-4f6c-af64-de8f61a6bfcf' 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([25.199910000000003, 25.199730000000002, 25.199550000000002,\n",
        "       25.199370000000002,           25.19919,           25.19901,\n",
        "       25.198830000000005, 25.198650000000004, 25.198470000000004,\n",
        "       25.198290000000004,\n",
@@ -1149,7 +1232,7 @@
        "       25.141230000000004, 25.141050000000003, 25.140870000000003,\n",
        "       25.140690000000003, 25.140510000000003, 25.140330000000002,\n",
        "       25.140150000000002],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=333))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e7431c0-e75c-45aa-a795-2d9d49112dd0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4e7431c0-e75c-45aa-a795-2d9d49112dd0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=333))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b75fe991-d348-4584-8430-43627cf06551' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b75fe991-d348-4584-8430-43627cf06551' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'band_data' (y: 333, x: 222)>\n",
@@ -1167,7 +1250,7 @@
        "    spatial_ref  int64 0"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1183,23 +1266,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "51ef949f-5984-4808-bc3f-1c93d85cdf8a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7fee14dfdca0>"
+       "<matplotlib.colorbar.Colorbar at 0x7f2e87a1e730>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1008x720 with 3 Axes>"
       ]
@@ -1241,7 +1324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "af9f0b8a-6fcf-409f-8954-a92c1863f9f8",
    "metadata": {},
    "outputs": [],
@@ -1254,7 +1337,7 @@
     "    collection, \n",
     "    spatial_extent=spatial_extent, \n",
     "    temporal_extent=temporal_extent, \n",
-    "    bands = [\"flood_extent\", \"refwater\"]\n",
+    "    bands = [\"ensemble_flood_extent\", \"reference_water_mask\"]\n",
     ")\n",
     "\n",
     "# retrieve all pixels which have been detected as water during the given period\n",
@@ -1275,7 +1358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "id": "0a393ed9-3240-4098-9d34-f88f5f75ebe9",
    "metadata": {},
    "outputs": [],
@@ -1285,7 +1368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "id": "798fc05e-bb84-4aa9-bfbd-0210a172c214",
    "metadata": {},
    "outputs": [
@@ -1295,7 +1378,7 @@
        "'finished'"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1306,7 +1389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "id": "22e263c5-541d-4bf9-a001-d142e14b0491",
    "metadata": {},
    "outputs": [
@@ -1320,7 +1403,7 @@
        " PosixPath('gfm/observed_water/job-results.json')]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1331,7 +1414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "id": "4582748e-e274-496e-a843-b820f9d456ee",
    "metadata": {},
    "outputs": [
@@ -1706,14 +1789,14 @@
        "Coordinates:\n",
        "  * y            (y) float64 2.89e+06 2.89e+06 2.89e+06 ... 2.653e+06 2.653e+06\n",
        "  * x            (x) float64 1.621e+06 1.621e+06 1.621e+06 ... 1.91e+06 1.91e+06\n",
-       "    time         datetime64[ns] 2022-09-01T01:09:07\n",
+       "    t            datetime64[ns] 2022-09-01T01:09:07\n",
        "    spatial_ref  int64 0\n",
        "Attributes:\n",
        "    nodata:                        -9999\n",
        "    filepaths:                     []\n",
-       "    snapshot_STAC_collection_URL:  https://dev.stac.eodc.eu/api/v1/collection...\n",
+       "    snapshot_STAC_collection_URL:  https://stac.eodc.eu/api/v1/collections/GFM\n",
        "    gfm:                           https://extwiki.eodc.eu/GFM\n",
-       "    crs:                           PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'name'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 11879</li><li><span class='xr-has-index'>x</span>: 14489</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-743f48ac-5808-4671-abf7-e58953a86f3d' class='xr-array-in' type='checkbox' checked><label for='section-743f48ac-5808-4671-abf7-e58953a86f3d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(9506, 8967), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    crs:                           PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'name'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 11879</li><li><span class='xr-has-index'>x</span>: 14489</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ff116dc2-ac34-4eea-99b0-d7074abf9c78' class='xr-array-in' type='checkbox' checked><label for='section-ff116dc2-ac34-4eea-99b0-d7074abf9c78' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(9506, 8967), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table>\n",
@@ -1772,17 +1855,17 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-44fcf97d-c1a0-493b-89bc-028af4a60a45' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44fcf97d-c1a0-493b-89bc-028af4a60a45' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.89e+06 2.89e+06 ... 2.653e+06</div><input id='attrs-b23a068a-9049-434f-b227-37f7f4e50355' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b23a068a-9049-434f-b227-37f7f4e50355' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f00c9075-fb70-4801-929d-2fa5202d1208' class='xr-var-data-in' type='checkbox'><label for='data-f00c9075-fb70-4801-929d-2fa5202d1208' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-20.0</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94.0],PARAMETER[&quot;latitude_of_center&quot;,47.0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]]]</dd></dl></div><div class='xr-var-data'><pre>array([2890110., 2890090., 2890070., ..., 2652590., 2652570., 2652550.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.621e+06 1.621e+06 ... 1.91e+06</div><input id='attrs-2b8ef970-9230-478f-99e6-e88417c0247f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b8ef970-9230-478f-99e6-e88417c0247f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8c1cf82-b241-488a-b0cf-0d5ae4f97c10' class='xr-var-data-in' type='checkbox'><label for='data-e8c1cf82-b241-488a-b0cf-0d5ae4f97c10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>20.0</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94.0],PARAMETER[&quot;latitude_of_center&quot;,47.0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]]]</dd></dl></div><div class='xr-var-data'><pre>array([1620670., 1620690., 1620710., ..., 1910390., 1910410., 1910430.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-01T01:09:07</div><input id='attrs-377f8955-ceb2-458e-a8df-6269f8f9ee3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-377f8955-ceb2-458e-a8df-6269f8f9ee3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae0dc92b-08ee-48b3-8965-eaa4152f8d27' class='xr-var-data-in' type='checkbox'><label for='data-ae0dc92b-08ee-48b3-8965-eaa4152f8d27' 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'></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-09-01T01:09:07.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fd482ed6-06f9-4ecf-a866-b68337e45aca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd482ed6-06f9-4ecf-a866-b68337e45aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47c2276c-49b8-43d5-adac-1ef1157013a3' class='xr-var-data-in' type='checkbox'><label for='data-47c2276c-49b8-43d5-adac-1ef1157013a3' 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>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>false_easting :</span></dt><dd>4340913.84808</dd><dt><span>projected_crs_name :</span></dt><dd>Azimuthal_Equidistant</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>false_northing :</span></dt><dd>4812712.92347</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>47.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>94.0</dd><dt><span>GeoTransform :</span></dt><dd>1500000.0 20.0 0.0 3000000.0 0.0 -20.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd><dt><span>grid_mapping_name :</span></dt><dd>azimuthal_equidistant</dd><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb208296-eed2-4500-b800-cef93e05886e' class='xr-section-summary-in' type='checkbox'  ><label for='section-bb208296-eed2-4500-b800-cef93e05886e' 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>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8a4487c-3044-44d1-9a5d-ee5380ae7c70' class='xr-index-data-in' type='checkbox'/><label for='index-c8a4487c-3044-44d1-9a5d-ee5380ae7c70' 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([2890110.0, 2890090.0, 2890070.0, 2890050.0, 2890030.0, 2890010.0,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-94dcab92-5d48-456c-8c99-bd5d6e2e3419' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94dcab92-5d48-456c-8c99-bd5d6e2e3419' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.89e+06 2.89e+06 ... 2.653e+06</div><input id='attrs-5794a7a3-324d-4fb0-8d96-904218fc9ef2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5794a7a3-324d-4fb0-8d96-904218fc9ef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88189cc3-537f-41f2-a204-75b3cb50cec8' class='xr-var-data-in' type='checkbox'><label for='data-88189cc3-537f-41f2-a204-75b3cb50cec8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-20.0</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94.0],PARAMETER[&quot;latitude_of_center&quot;,47.0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]]]</dd></dl></div><div class='xr-var-data'><pre>array([2890110., 2890090., 2890070., ..., 2652590., 2652570., 2652550.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.621e+06 1.621e+06 ... 1.91e+06</div><input id='attrs-7c6f2413-2fd8-4b84-8486-60d71791c15c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c6f2413-2fd8-4b84-8486-60d71791c15c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-044bb444-b328-4671-a50e-64dc98e732da' class='xr-var-data-in' type='checkbox'><label for='data-044bb444-b328-4671-a50e-64dc98e732da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>20.0</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94.0],PARAMETER[&quot;latitude_of_center&quot;,47.0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]]]</dd></dl></div><div class='xr-var-data'><pre>array([1620670., 1620690., 1620710., ..., 1910390., 1910410., 1910430.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-01T01:09:07</div><input id='attrs-8db63d54-a408-44df-88bd-5ba88bfca12f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8db63d54-a408-44df-88bd-5ba88bfca12f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be8ec206-a053-441c-8376-e853787d0405' class='xr-var-data-in' type='checkbox'><label for='data-be8ec206-a053-441c-8376-e853787d0405' 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'></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-09-01T01:09:07.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-7905f61e-a415-4252-af4f-d52a20c672ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7905f61e-a415-4252-af4f-d52a20c672ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42ed6e87-8259-4756-a860-d195bcdc6aec' class='xr-var-data-in' type='checkbox'><label for='data-42ed6e87-8259-4756-a860-d195bcdc6aec' 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>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>false_easting :</span></dt><dd>4340913.84808</dd><dt><span>projected_crs_name :</span></dt><dd>Azimuthal_Equidistant</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>false_northing :</span></dt><dd>4812712.92347</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>47.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>94.0</dd><dt><span>GeoTransform :</span></dt><dd>1500000.0 20.0 0.0 3000000.0 0.0 -20.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd><dt><span>grid_mapping_name :</span></dt><dd>azimuthal_equidistant</dd><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58582b79-6b4f-4e16-9993-41bdc0bdbd11' class='xr-section-summary-in' type='checkbox'  ><label for='section-58582b79-6b4f-4e16-9993-41bdc0bdbd11' 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>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-17da91d8-220d-42ec-bd4b-0524805c8e8c' class='xr-index-data-in' type='checkbox'/><label for='index-17da91d8-220d-42ec-bd4b-0524805c8e8c' 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([2890110.0, 2890090.0, 2890070.0, 2890050.0, 2890030.0, 2890010.0,\n",
        "       2889990.0, 2889970.0, 2889950.0, 2889930.0,\n",
        "       ...\n",
        "       2652730.0, 2652710.0, 2652690.0, 2652670.0, 2652650.0, 2652630.0,\n",
        "       2652610.0, 2652590.0, 2652570.0, 2652550.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=11879))</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-fb90977a-a138-46af-a64f-79a172fc7b46' class='xr-index-data-in' type='checkbox'/><label for='index-fb90977a-a138-46af-a64f-79a172fc7b46' 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([1620670.0, 1620690.0, 1620710.0, 1620730.0, 1620750.0, 1620770.0,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=11879))</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-826acd82-9887-452a-acf7-a81345d6bc9e' class='xr-index-data-in' type='checkbox'/><label for='index-826acd82-9887-452a-acf7-a81345d6bc9e' 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([1620670.0, 1620690.0, 1620710.0, 1620730.0, 1620750.0, 1620770.0,\n",
        "       1620790.0, 1620810.0, 1620830.0, 1620850.0,\n",
        "       ...\n",
        "       1910250.0, 1910270.0, 1910290.0, 1910310.0, 1910330.0, 1910350.0,\n",
        "       1910370.0, 1910390.0, 1910410.0, 1910430.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=14489))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6044030a-cc1c-4ea9-b553-dc95592c96a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6044030a-cc1c-4ea9-b553-dc95592c96a8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>-9999</dd><dt><span>filepaths :</span></dt><dd>[]</dd><dt><span>snapshot_STAC_collection_URL :</span></dt><dd>https://dev.stac.eodc.eu/api/v1/collections/GFM</dd><dt><span>gfm :</span></dt><dd>https://extwiki.eodc.eu/GFM</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=14489))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13c33eb2-96c7-49c5-8191-021122af282d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13c33eb2-96c7-49c5-8191-021122af282d' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>-9999</dd><dt><span>filepaths :</span></dt><dd>[]</dd><dt><span>snapshot_STAC_collection_URL :</span></dt><dd>https://stac.eodc.eu/api/v1/collections/GFM</dd><dt><span>gfm :</span></dt><dd>https://extwiki.eodc.eu/GFM</dd><dt><span>crs :</span></dt><dd>PROJCS[&quot;Azimuthal_Equidistant&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Azimuthal_Equidistant&quot;],PARAMETER[&quot;false_easting&quot;,4340913.84808],PARAMETER[&quot;false_northing&quot;,4812712.92347],PARAMETER[&quot;longitude_of_center&quot;,94],PARAMETER[&quot;latitude_of_center&quot;,47],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH]]</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'name' (y: 11879, x: 14489)>\n",
@@ -1790,12 +1873,12 @@
        "Coordinates:\n",
        "  * y            (y) float64 2.89e+06 2.89e+06 2.89e+06 ... 2.653e+06 2.653e+06\n",
        "  * x            (x) float64 1.621e+06 1.621e+06 1.621e+06 ... 1.91e+06 1.91e+06\n",
-       "    time         datetime64[ns] 2022-09-01T01:09:07\n",
+       "    t            datetime64[ns] 2022-09-01T01:09:07\n",
        "    spatial_ref  int64 0\n",
        "Attributes:\n",
        "    nodata:                        -9999\n",
        "    filepaths:                     []\n",
-       "    snapshot_STAC_collection_URL:  https://dev.stac.eodc.eu/api/v1/collection...\n",
+       "    snapshot_STAC_collection_URL:  https://stac.eodc.eu/api/v1/collections/GFM\n",
        "    gfm:                           https://extwiki.eodc.eu/GFM\n",
        "    crs:                           PROJCS[\"Azimuthal_Equidistant\",GEOGCS[\"WGS..."
       ]
@@ -1814,7 +1897,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "id": "d91d6c3a-6896-4538-90ee-93d82a2b8f3d",
    "metadata": {},
    "outputs": [
@@ -1825,7 +1908,7 @@
        " array([2890110., 2890090., 2890070., ..., 2652590., 2652570., 2652550.]))"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1836,23 +1919,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 18,
    "id": "8dd928dd-1ff4-4fd7-aafd-5d40789ebd0b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.contour.QuadContourSet at 0x7fee2ca5a4f0>"
+       "<matplotlib.contour.QuadContourSet at 0x7f2e7f664ca0>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x720 with 1 Axes>"
       ]