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@@ -0,0 +1,923 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9a5a4cf7-cf0d-49bf-8229-84d94bafe4dd",
+   "metadata": {},
+   "source": [
+    "# Relation between NO2 emission and Land Surface Temperature \n",
+    "\n",
+    "This is a follow-up notebook of the \"NO2 emission and COVID Lockdown effects\" notebook, where we explored the NO2 concentration during and post COVID lockdowns. During the finding, we noticed that there was a distinct pattern of rise and fall in the concentration with the change in temperature.\n",
+    "\n",
+    "Hence, in this notebook, we want to explore the correlation between the concentration of NO2 caused by the change in temperature. Therefore, in this use case, we are using the NO2 layer of Sentinel-5P and the Land Surface Temperature(LST) layer of Sentinel-3 SLSTR.\n",
+    "\n",
+    "References:\n",
+    "* https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-5P/Sentinel-5P_brings_air_pollution_into_focus\n",
+    "* https://ieeexplore.ieee.org/abstract/document/9617331"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3bf6dcb3-dbdc-4ec9-9248-29977999f2bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openeo\n",
+    "import xarray as xr\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import math"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "3b27a99b-5fc5-4486-8d40-d799f927174c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Authenticated using refresh token.\n"
+     ]
+    }
+   ],
+   "source": [
+    "connection = openeo.connect(\"openeo.dataspace.copernicus.eu\").authenticate_oidc()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2cd383cf-1d22-4a05-9cfe-912522ba2785",
+   "metadata": {},
+   "source": [
+    "We want to maintain the same geographical extent as in the earlier notebook, focusing on the area around Delhi, India, for the year 2022. Specifically, we have chosen the post-COVID period to make assumptions based on data less influenced by factors such as reduced human activity."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad81db93-619d-443e-bafc-71fc9df25a89",
+   "metadata": {},
+   "source": [
+    "## 1. Prepare a NO2 datacube"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e302ee5a-1ee8-4d85-ab74-437273a575c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "time = [\"2022-01-01\", \"2022-12-30\"]\n",
+    "aoi = {\"west\": 77.11, \"south\": 28.56, \"east\": 77.29, \"north\": 28.69}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4ec633b6-de35-499b-a07b-6d134c2c64ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s5pollution = connection.load_collection(\n",
+    "    \"SENTINEL_5P_L2\",\n",
+    "    temporal_extent=time,\n",
+    "    spatial_extent=aoi,\n",
+    "    bands=[\"NO2\"],\n",
+    ")\n",
+    "\n",
+    "# Now aggregate by week to to perform weekly analysis\n",
+    "s5pollution = s5pollution.aggregate_temporal_period(reducer=\"mean\", period=\"week\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "71989c60-84c7-4096-9ae2-d7a37c5ab7fb",
+   "metadata": {},
+   "source": [
+    "## 2. Prepare temperature datacube\n",
+    "\n",
+    "Next, we generate two datacubes: one fetches the Land Surface Temperature (LST) layer from Sentinel-3, while the other retrieves the confidence_in layer from the same collection for cloud masking in the LST data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "09858cb7-0adc-4ccd-a5a9-f2d00d12d9cf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <script>\n",
+       "    if (!window.customElements || !window.customElements.get('openeo-model-builder')) {\n",
+       "        var el = document.createElement('script');\n",
+       "        el.src = \"https://cdn.jsdelivr.net/npm/@openeo/vue-components@2/assets/openeo.min.js\";\n",
+       "        document.head.appendChild(el);\n",
+       "\n",
+       "        var font = document.createElement('font');\n",
+       "        font.as = \"font\";\n",
+       "        font.type = \"font/woff2\";\n",
+       "        font.crossOrigin = true;\n",
+       "        font.href = \"https://use.fontawesome.com/releases/v5.13.0/webfonts/fa-solid-900.woff2\"\n",
+       "        document.head.appendChild(font);\n",
+       "    }\n",
+       "    </script>\n",
+       "    <openeo-model-builder>\n",
+       "        <script type=\"application/json\">{\"id\": \"2ed2baa8cc6b40cdacbb66220ae821d7\", \"explicit-zoom\": true, \"height\": \"400px\", \"value\": {\"process_graph\": {\"loadcollection1\": {\"process_id\": \"load_collection\", \"arguments\": {\"bands\": [\"LST\"], \"id\": \"SENTINEL3_SLSTR_L2_LST\", \"spatial_extent\": {\"west\": 77.11, \"south\": 28.56, \"east\": 77.29, \"north\": 28.69}, \"temporal_extent\": [\"2022-01-01\", \"2022-12-30\"]}}, \"loadcollection2\": {\"process_id\": \"load_collection\", \"arguments\": {\"bands\": [\"confidence_in\"], \"id\": \"SENTINEL3_SLSTR_L2_LST\", \"spatial_extent\": {\"west\": 77.11, \"south\": 28.56, \"east\": 77.29, \"north\": 28.69}, \"temporal_extent\": [\"2022-01-01\", \"2022-12-30\"]}}, \"apply1\": {\"process_id\": \"apply\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection2\"}, \"process\": {\"process_graph\": {\"gte1\": {\"process_id\": \"gte\", \"arguments\": {\"x\": {\"from_parameter\": \"x\"}, \"y\": 16384}, \"result\": true}}}}}, \"mask1\": {\"process_id\": \"mask\", \"arguments\": {\"data\": {\"from_node\": \"loadcollection1\"}, \"mask\": {\"from_node\": \"apply1\"}}, \"result\": true}}}}</script>\n",
+       "    </openeo-model-builder>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<openeo.rest.datacube.DataCube at 0x7ff8167a6fd0>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lst = connection.load_collection(\n",
+    "    \"SENTINEL3_SLSTR_L2_LST\",\n",
+    "    temporal_extent=time,\n",
+    "    spatial_extent=aoi,\n",
+    "    bands=[\"LST\"],\n",
+    ")\n",
+    "\n",
+    "mask = connection.load_collection(\n",
+    "    \"SENTINEL3_SLSTR_L2_LST\",\n",
+    "    temporal_extent=time,\n",
+    "    spatial_extent=aoi,\n",
+    "    bands=[\"confidence_in\"],\n",
+    ")\n",
+    "\n",
+    "mask = mask >= 16384\n",
+    "\n",
+    "lst.mask(mask)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f58d807-97ff-4f2d-bf47-79e6b5b850cd",
+   "metadata": {},
+   "source": [
+    "The Land Surface Temperature (LST) values are typically saved in Kelvin. Therefore, we change temperature values to Celsius before saving them by subtracting 273.15. This helps adjust the data format from a 16-bit integer to a floating-point representation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "6d924474-365e-4a88-8ca4-66b956af1be2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lst_celsius = lst - 273.15\n",
+    "\n",
+    "# Now aggregate by week to perform weekly analysis\n",
+    "lst_celsius = lst_celsius.aggregate_temporal_period(reducer=\"mean\", period=\"week\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4379217-e52f-45b2-9308-e1c888028135",
+   "metadata": {},
+   "source": [
+    "## 3. Merge two datacubes\n",
+    "\n",
+    "Then we use `merge_cube` process available in openEO to merge NO2 datacube and Temperature Datacube to create a composite cube in which we can perform further analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "bd2fec77-4f96-41df-83d8-0e8b7598fecf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "merged_cube = s5pollution.merge_cubes(lst_celsius)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c670bad3-00a5-44f2-8104-99e78e16098e",
+   "metadata": {},
+   "source": [
+    "## 4. Download the merged cube"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "ff1471e3-c7d0-4d94-9492-f3a779643110",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0:00:00 Job 'j-240402dd22864651905324ba40e6ba84': send 'start'\n",
+      "0:00:12 Job 'j-240402dd22864651905324ba40e6ba84': created (progress N/A)\n",
+      "0:00:17 Job 'j-240402dd22864651905324ba40e6ba84': created (progress N/A)\n",
+      "0:00:24 Job 'j-240402dd22864651905324ba40e6ba84': created (progress N/A)\n",
+      "0:00:32 Job 'j-240402dd22864651905324ba40e6ba84': created (progress N/A)\n",
+      "0:00:42 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:00:59 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:01:15 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:01:34 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:01:59 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:02:31 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:03:08 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:03:56 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:04:54 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:05:55 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:06:55 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:08:00 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:09:00 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:10:00 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:11:01 Job 'j-240402dd22864651905324ba40e6ba84': running (progress N/A)\n",
+      "0:12:02 Job 'j-240402dd22864651905324ba40e6ba84': finished (progress N/A)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Lets check if it is good or not\n",
+    "job = merged_cube.execute_batch(title=\"NO2 vs Tempreature\", outputfile=\"NO2Temp.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77b00977-5b0d-4bf3-9b13-d4779efbe393",
+   "metadata": {},
+   "source": [
+    "Let us further look at the credits consumed by this job. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7d31507d-abac-4762-8b99-8a22fdac05a9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "7.0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "job.describe()[\"costs\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ac68846e-e2bb-4450-a0b6-cb099d66ada3",
+   "metadata": {},
+   "source": [
+    "This information is also accessible in the details section of your job within the [web editor](https://openeo.dataspace.copernicus.eu) or under the [reporting section](https://marketplace-portal.dataspace.copernicus.eu/reporting) in the marketplace.\n",
+    "\n",
+    "However, it's important to note that the cost mentioned was incurred during the preparation of this notebook and may be subject to change over time."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ceef1400-e882-4fc5-881d-4a0767344666",
+   "metadata": {},
+   "source": [
+    "## 6. Let's do the plotting and further analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b4c667b8-a4f3-4dec-b28e-56b0e911a16e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = xr.load_dataset(\"NO2Temp.nc\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "45e68cc0-e95c-480d-9f7c-f4b5e5c2cc4b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# rolling for an smooth effect\n",
+    "dataset = dataset.rolling(t=3).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "70844598-7057-4058-9e34-b9e635d0ceb1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'NO2 vs Temperature')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax1 = plt.subplots(dpi=100)\n",
+    "ax1.plot(np.nanmean(dataset.NO2.to_numpy(), axis=1), color=\"g\", label=\"NO2\")\n",
+    "ax1.set_ylabel(\"NO2 concentration(ppm)\")\n",
+    "ax1.yaxis.label.set_color(\"g\")\n",
+    "ax1.tick_params(axis=\"y\", colors=\"g\")\n",
+    "\n",
+    "ax2 = ax1.twinx()\n",
+    "ax2.plot(np.nanmean(dataset[\"LST\"].to_numpy(), axis=1), color=\"r\", label=\"LST\")\n",
+    "ax2.set_ylabel(\"LST(Celsius)\")\n",
+    "ax2.yaxis.label.set_color(\"r\")\n",
+    "ax2.tick_params(axis=\"y\", colors=\"r\")\n",
+    "\n",
+    "ax1.set_xlabel(\"Week of the Year\")\n",
+    "plt.title(\"NO2 vs Temperature\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "538037f9-2972-4d68-9e21-1fe756cdc111",
+   "metadata": {},
+   "source": [
+    "The plot above suggests a potential relationship between the two parameters, with one increasing as the other decreases up to the 30th week. Afterwards, both parameters increase together. Let's investigate further to determine if there is a correlation between them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "88144e77-9244-4099-b68c-e1f35b8597de",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Temp')"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 720x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax1 = plt.subplots(figsize=(8, 5), dpi=90)\n",
+    "sns.regplot(\n",
+    "    x=np.nanmean(np.nanmean(dataset.NO2.to_numpy(), axis=1), axis=1).flatten(),\n",
+    "    y=np.nanmean(np.nanmean(dataset[\"LST\"].to_numpy(), axis=1), axis=1).flatten(),\n",
+    "    lowess=True,\n",
+    ")\n",
+    "ax1.set_xlabel(\"No2\")\n",
+    "ax1.set_ylabel(\"Temp\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "80a855c7-d23c-4702-acad-f1d774d9cca4",
+   "metadata": {},
+   "source": [
+    "The curve further suggests a potential relationship, but it remains inconclusive. It seems like there might be a seasonal pattern, with one parameter shows an increasing trend while the other decreases. Therefore, dividing the data into seasons and applying different fits could be useful to gain a better understanding and characterize the correlation between the two parameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "b199ea2f-20a6-4068-9789-7d66f2c0d480",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset[\"t\"] = dataset.t.dt.season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "13245c0e-5c19-4d65-bcfa-12cf9a0ff985",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (t: 53)\n",
+       "Coordinates:\n",
+       "  * t        (t) object &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27;\n",
+       "Data variables:\n",
+       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fd04452b-85ac-4a5e-b09d-f39a61ed0606' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd04452b-85ac-4a5e-b09d-f39a61ed0606' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0988bd4-ff5a-4b95-acfa-ed331b251627' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0988bd4-ff5a-4b95-acfa-ed331b251627' 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'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27;</div><input id='attrs-c6379ba3-6f2c-4da1-b3fb-0058c85a968d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6379ba3-6f2c-4da1-b3fb-0058c85a968d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d609d854-cd90-4d1b-b81b-bfffac122e0f' class='xr-var-data-in' type='checkbox'><label for='data-d609d854-cd90-4d1b-b81b-bfffac122e0f' 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;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;,\n",
+       "       &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;,\n",
+       "       &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;,\n",
+       "       &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;,\n",
+       "       &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;DJF&#x27;,\n",
+       "       &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a627af6-5c31-4b2b-98be-eae94931862e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9a627af6-5c31-4b2b-98be-eae94931862e' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0975bfff-3b5c-4298-82e6-b78384f62cdf' class='xr-section-summary-in' type='checkbox'  ><label for='section-0975bfff-3b5c-4298-82e6-b78384f62cdf' 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-272523b6-5515-469c-9eb6-8721855ce9a5' class='xr-index-data-in' type='checkbox'/><label for='index-272523b6-5515-469c-9eb6-8721855ce9a5' 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([&#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;,\n",
+       "       &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;,\n",
+       "       &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;,\n",
+       "       &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;,\n",
+       "       &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;SON&#x27;, &#x27;DJF&#x27;,\n",
+       "       &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;],\n",
+       "      dtype=&#x27;object&#x27;, name=&#x27;t&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b887f17-d0a9-4483-be3e-2a3710858a9e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b887f17-d0a9-4483-be3e-2a3710858a9e' 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.Dataset>\n",
+       "Dimensions:  (t: 53)\n",
+       "Coordinates:\n",
+       "  * t        (t) object 'DJF' 'DJF' 'DJF' 'DJF' ... 'DJF' 'DJF' 'DJF' 'DJF'\n",
+       "Data variables:\n",
+       "    *empty*"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_copy = xr.Dataset(coords={\"t\": dataset[\"t\"]})\n",
+    "df_copy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "6b595310-9d55-462c-adfa-e6980e14c017",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_copy[\"NO2\"] = dataset.NO2.mean(dim=[\"x\", \"y\"], skipna=True)\n",
+    "df_copy[\"LST\"] = dataset.LST.mean(dim=[\"x\", \"y\"], skipna=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "8709b7f4-2d02-4571-9335-91503582b1d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x540 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "seasons = [\"DJF\", \"MAM\", \"JJA\", \"SON\"]\n",
+    "titles = [\n",
+    "    \"Dec-Jan-Feb (DJF)\",\n",
+    "    \"Mar-Apr-May (MAM)\",\n",
+    "    \"Jun-Jul-Aug (JJA)\",\n",
+    "    \"Sep-Oct-Nov (SON)\",\n",
+    "]\n",
+    "fig, axs = plt.subplots(2, 2, dpi=90, figsize=(8, 6))\n",
+    "for i in range(4):\n",
+    "    season = seasons[i]\n",
+    "    a = math.floor(i / 2)\n",
+    "    b = i % 2\n",
+    "    sns.regplot(\n",
+    "        x=df_copy.sel(t=season).NO2,\n",
+    "        y=df_copy.sel(t=season).LST,\n",
+    "        lowess=False,\n",
+    "        ax=axs[a][b],\n",
+    "    )\n",
+    "    axs[a][b].set_title(titles[i])\n",
+    "    axs[a][b].ticklabel_format(style=\"sci\", axis=\"x\", scilimits=(0, 0))\n",
+    "    axs[a][b].ticklabel_format(style=\"sci\", axis=\"y\", scilimits=(0, 0))\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75e3a6b3-cc09-487c-8df6-df65d6c41102",
+   "metadata": {},
+   "source": [
+    "From the analysis, it's evident that the relationship is notably strong during the \"JJA\" (June, July, August) seasons with an increasing trend. However, in the seasons \"SON\" (September, October, November), \"DJF\" (December, January, February), and \"MAM\" (March, April, May), which represent the other months, the correlation is not very strong.\r\n",
+    "\r\n",
+    "In conclusion, for this geographical region, it can be confidently stated that NO2 exhibits a direct correlation during the summer months, while there is nexplicitlyly defining relationship in the other seasons. Consequently, the parameters may not be significantly dependent on each other during those periods."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "OpenEO",
+   "language": "python",
+   "name": "openeo"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}