openEO `merge_cubes` with discontinuous date ranges

merge-cubes-discontinuous-dates.ipynb

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   "source": [
    "https://discuss.eodc.eu/t/merge-datacubes-from-multiple-dates/617"
   ]
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   "id": "bc65b376-88de-4f0a-ab6f-2eb9f8753105",
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   "source": [
    "import openeo\n",
    "import xarray"
   ]
  },
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      "Authenticated using refresh token.\n"
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       "<Connection to 'https://openeocloud.vito.be/openeo/1.0.0/' with OidcBearerAuth>"
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   "source": [
    "connection = openeo.connect(\"openeo.cloud\")\n",
    "connection.authenticate_oidc()"
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   "id": "8fdbb784-34fb-45dd-918d-18cea4251235",
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    "collection_id = \"SENTINEL2_L2A\"\n",
    "spatial_extent = {\"west\": 3, \"south\": 51, \"east\": 3.01, \"north\": 51.01}\n",
    "bands = [\"B04\", \"B08\"]"
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      "text/plain": [
       "[['2019-08-01', '2019-08-08'],\n",
       " ['2020-08-01', '2020-08-08'],\n",
       " ['2021-08-01', '2021-08-08'],\n",
       " ['2022-08-01', '2022-08-08']]"
      ]
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "temporal_extents = [\n",
    "    [f\"{y}-08-01\", f\"{y}-08-08\"]\n",
    "    for y in [2019, 2020, 2021, 2022]\n",
    "]\n",
    "temporal_extents"
   ]
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   "id": "ca3f7bac-3714-4d57-81e1-58ca6ccd81e9",
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   "source": [
    "cube = None\n",
    "\n",
    "for temporal_extent in temporal_extents:\n",
    "    s2 = connection.load_collection(\n",
    "        collection_id=collection_id,\n",
    "        temporal_extent=temporal_extent,\n",
    "        spatial_extent=spatial_extent,\n",
    "        bands=bands,\n",
    "    )\n",
    "    if cube is None:\n",
    "        cube = s2\n",
    "    else:\n",
    "        cube = cube.merge_cubes(s2, overlap_resolver=\"max\")\n",
    "\n",
    "# cube\n",
    "# cube.print_json()"
   ]
  },
  {
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   "id": "29aaf242-a017-4e72-9b10-5d09d4d1163b",
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   "source": [
    "red = cube.band(\"B04\")\n",
    "nir = cube.band(\"B08\")\n",
    "ndvi = (nir - red) / (nir + red)"
   ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 35.1 ms, sys: 23.6 ms, total: 58.7 ms\n",
      "Wall time: 4min 13s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "ndvi.download(\"forum617-ndvi.nc\")"
   ]
  },
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   "execution_count": 8,
   "id": "49e1f571-31f4-45b0-992e-c62088ef9c56",
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       "       &#x27;2021-08-03T00:00:00.000000000&#x27;, &#x27;2021-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-08T00:00:00.000000000&#x27;, &#x27;2022-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-03T00:00:00.000000000&#x27;, &#x27;2022-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-08T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-cf65cb22-a747-460e-95da-a2c7472baec4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf65cb22-a747-460e-95da-a2c7472baec4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-08-02 ... 2022-08-08</div><input id='attrs-dff9f244-81c1-4d58-8e8c-19716f8827f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff9f244-81c1-4d58-8e8c-19716f8827f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e229756-10da-4777-94c8-9b6fdbc244d3' class='xr-var-data-in' type='checkbox'><label for='data-6e229756-10da-4777-94c8-9b6fdbc244d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>t</dd><dt><span>long_name :</span></dt><dd>t</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-08-02T00:00:00.000000000&#x27;, &#x27;2019-08-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-08-07T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-08-03T00:00:00.000000000&#x27;, &#x27;2020-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-08-08T00:00:00.000000000&#x27;, &#x27;2021-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-03T00:00:00.000000000&#x27;, &#x27;2021-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-08T00:00:00.000000000&#x27;, &#x27;2022-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-03T00:00:00.000000000&#x27;, &#x27;2022-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-08T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c27fd7c4-16a1-45ad-844c-af3b9d16baad' class='xr-section-summary-in' type='checkbox'  ><label for='section-c27fd7c4-16a1-45ad-844c-af3b9d16baad' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>t</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f9aa61b9-e67f-4640-849f-2b96bbf9c09b' class='xr-index-data-in' type='checkbox'/><label for='index-f9aa61b9-e67f-4640-849f-2b96bbf9c09b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-08-02&#x27;, &#x27;2019-08-04&#x27;, &#x27;2019-08-07&#x27;, &#x27;2020-08-01&#x27;,\n",
       "               &#x27;2020-08-03&#x27;, &#x27;2020-08-06&#x27;, &#x27;2020-08-08&#x27;, &#x27;2021-08-01&#x27;,\n",
       "               &#x27;2021-08-03&#x27;, &#x27;2021-08-06&#x27;, &#x27;2021-08-08&#x27;, &#x27;2022-08-01&#x27;,\n",
       "               &#x27;2022-08-03&#x27;, &#x27;2022-08-06&#x27;, &#x27;2022-08-08&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;t&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-daff5f4a-190c-4480-bda8-3b7623e47f99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-daff5f4a-190c-4480-bda8-3b7623e47f99' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>t</dd><dt><span>long_name :</span></dt><dd>t</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't' (t: 15)>\n",
       "array(['2019-08-02T00:00:00.000000000', '2019-08-04T00:00:00.000000000',\n",
       "       '2019-08-07T00:00:00.000000000', '2020-08-01T00:00:00.000000000',\n",
       "       '2020-08-03T00:00:00.000000000', '2020-08-06T00:00:00.000000000',\n",
       "       '2020-08-08T00:00:00.000000000', '2021-08-01T00:00:00.000000000',\n",
       "       '2021-08-03T00:00:00.000000000', '2021-08-06T00:00:00.000000000',\n",
       "       '2021-08-08T00:00:00.000000000', '2022-08-01T00:00:00.000000000',\n",
       "       '2022-08-03T00:00:00.000000000', '2022-08-06T00:00:00.000000000',\n",
       "       '2022-08-08T00:00:00.000000000'], dtype='datetime64[ns]')\n",
       "Coordinates:\n",
       "  * t        (t) datetime64[ns] 2019-08-02 2019-08-04 ... 2022-08-06 2022-08-08\n",
       "Attributes:\n",
       "    standard_name:  t\n",
       "    long_name:      t\n",
       "    axis:           T"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xarray.load_dataset(\"forum617-ndvi.nc\")\n",
    "data[\"t\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d46ec66-9f3d-4c66-b81c-ae6fb8e86d3d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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