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soxofaan/merge-cubes-discontinuous-dates.ipynb

Created July 31, 2023 16:53
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openEO `merge_cubes` with discontinuous date ranges
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merge-cubes-discontinuous-dates.ipynb
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"id": "29a3824c-b23d-4600-b43f-5625a7557184",
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"source": [
"https://discuss.eodc.eu/t/merge-datacubes-from-multiple-dates/617"
]
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"execution_count": 1,
"id": "bc65b376-88de-4f0a-ab6f-2eb9f8753105",
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"import openeo\n",
"import xarray"
]
},
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"Authenticated using refresh token.\n"
]
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"data": {
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"<Connection to 'https://openeocloud.vito.be/openeo/1.0.0/' with OidcBearerAuth>"
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"metadata": {},
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"source": [
"connection = openeo.connect(\"openeo.cloud\")\n",
"connection.authenticate_oidc()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "8fdbb784-34fb-45dd-918d-18cea4251235",
"metadata": {},
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"source": [
"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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"cell_type": "code",
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"id": "e042f616-7f0e-4765-90d9-3310321ddbbb",
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"data": {
"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']]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"temporal_extents = [\n",
" [f\"{y}-08-01\", f\"{y}-08-08\"]\n",
" for y in [2019, 2020, 2021, 2022]\n",
"]\n",
"temporal_extents"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ca3f7bac-3714-4d57-81e1-58ca6ccd81e9",
"metadata": {},
"outputs": [],
"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()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "29aaf242-a017-4e72-9b10-5d09d4d1163b",
"metadata": {},
"outputs": [],
"source": [
"red = cube.band(\"B04\")\n",
"nir = cube.band(\"B08\")\n",
"ndvi = (nir - red) / (nir + red)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d144aaa1-d97d-40c0-9c43-5c620579bed3",
"metadata": {},
"outputs": [
{
"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\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "49e1f571-31f4-45b0-992e-c62088ef9c56",
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t&#x27; (t: 15)&gt;\n",
"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;)\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</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'>'t'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 15</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c697afad-089a-43b9-b53d-62cb14a34579' class='xr-array-in' type='checkbox' checked><label for='section-c697afad-089a-43b9-b53d-62cb14a34579' 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>2019-08-02 2019-08-04 2019-08-07 ... 2022-08-03 2022-08-06 2022-08-08</span></div><div class='xr-array-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></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": []
}
],
"metadata": {
"kernelspec": {
"display_name": "openeo-client-venv3.9",
"language": "python",
"name": "openeo-3.9"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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