{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# MODIS Level 2 - MCD14DL - Fire Radiative Power"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{hint} \n",
    "<a href='https://fire.ltpy.adamplatform.eu/hub/user-redirect/lab/tree/med_part2_workflows/figure2_MODIS_FRP.ipynb' target='_blank'>Execute the notebook on the training platform >></a>\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook provides you an introduction to data from the [Moderate Resolution Imaging Spectroradiometer (MODIS)](https://modis.gsfc.nasa.gov/about/). We are using MODIS fire radiative power data as a proxy for the next-generation [Fire Radiative Power Pixel (FRPPIXEL) product](https://lsa-saf.eumetsat.int/en/data/products/fire-products/#FD:~:text=Data%20access-,MSG%20FRP%20%2D%20Pixel,-FRPPIXEL%20%5BLSA%2D502) from LSA SAF that will integrate data from Meteosat Third Generation's [Flexible Combined Imager](https://user.eumetsat.int/resources/user-guides/mtg-fci-level-1c-data-guide).\n",
    "\n",
    "This notebook shows the structure of [MODIS Thermal Anomalies/Fire locations 1km FIRMS V0061 NRT (Vector data)](https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/mcd14dl) and how to load, browse and visualize the data. \n",
    "\n",
    "The events featured in this notebook are the wildfires in Italy and Greece in summer 2021. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Basic Facts\n",
    "**Spatial coverage**: `Global` <br>\n",
    "**Time step**: `Monthly` <br>\n",
    "**Data availability**: `since 2000`\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} How to access the data\n",
    "This notebook uses the MODIS [MCD14DL dataset](https://www.earthdata.nasa.gov/learn/find-data/near-real-time/firms/mcd14dl-nrt) from the Terra and Aqua platforms. The MCD14DL dataset archive can be ordered via the [FIRMS](https://firms.modaps.eosdis.nasa.gov/active_fire/) and are distributed in `shp`, `kml` or `csv` format, which is then zipped. \n",
    "\n",
    "You need to [register for an Earthdata account](https://urs.earthdata.nasa.gov/) before being able to download data.\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Load required libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Python libraries for visualization\n",
    "import matplotlib.colors\n",
    "from matplotlib.colors import BoundaryNorm, ListedColormap\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "from matplotlib.axes import Axes\n",
    "from cartopy.mpl.geoaxes import GeoAxes\n",
    "GeoAxes._pcolormesh_patched = Axes.pcolormesh\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.simplefilter(action = \"ignore\", category = RuntimeWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Load helper functions**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run ../functions.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load and browse MODIS Fire Radiative Power data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[OPTIONAL] The first step is to unzip file from the zipped archive downloaded. This is optional as we have already unzipped the file for you. This is why the code is commented out.\n",
    "\n",
    "The zipped archive contains data in a Comma-Separated Values or `csv` file and a Readme text document. The period requested was from 5 August 2021 to 7 August 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import zipfile\n",
    "# with zipfile.ZipFile('../data/modis/level2/frp/DL_FIRE_M-C61_251212.zip', 'r') as zip_ref:\n",
    "#    zip_ref.extractall('../data/modis/level2/frp/2021/08')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After we downloaded the station observations as a `csv` file, we can open it with the pandas function `read_table()`. We additonally set specific keyword arguments that allow us to specify the columns and rows of interest:\n",
    "* `delimiter`: specify the delimiter in the text file, e.g. comma\n",
    "* `header`: specify the index of the row that shall be set as header.\n",
    "* `index_col`: specify the index of the column that shall be set as index\n",
    "\n",
    "You see below that the resulting dataframe has 2108 rows and 14 columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>brightness</th>\n",
       "      <th>scan</th>\n",
       "      <th>track</th>\n",
       "      <th>acq_time</th>\n",
       "      <th>satellite</th>\n",
       "      <th>instrument</th>\n",
       "      <th>confidence</th>\n",
       "      <th>version</th>\n",
       "      <th>bright_t31</th>\n",
       "      <th>frp</th>\n",
       "      <th>daynight</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acq_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>44.1170</td>\n",
       "      <td>25.1176</td>\n",
       "      <td>311.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>82</td>\n",
       "      <td>6.03</td>\n",
       "      <td>287.8</td>\n",
       "      <td>11.6</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0245</td>\n",
       "      <td>20.2539</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>26</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>2</td>\n",
       "      <td>6.03</td>\n",
       "      <td>289.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0330</td>\n",
       "      <td>20.2704</td>\n",
       "      <td>308.4</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>26</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>74</td>\n",
       "      <td>6.03</td>\n",
       "      <td>291.1</td>\n",
       "      <td>11.4</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0345</td>\n",
       "      <td>20.2566</td>\n",
       "      <td>353.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>26</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>100</td>\n",
       "      <td>6.03</td>\n",
       "      <td>295.1</td>\n",
       "      <td>101.7</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0362</td>\n",
       "      <td>20.2410</td>\n",
       "      <td>325.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>26</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>100</td>\n",
       "      <td>6.03</td>\n",
       "      <td>291.2</td>\n",
       "      <td>32.3</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>44.7821</td>\n",
       "      <td>20.5855</td>\n",
       "      <td>326.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2043</td>\n",
       "      <td>Terra</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>100</td>\n",
       "      <td>6.03</td>\n",
       "      <td>292.9</td>\n",
       "      <td>29.1</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>44.7837</td>\n",
       "      <td>20.5996</td>\n",
       "      <td>362.9</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2043</td>\n",
       "      <td>Terra</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>100</td>\n",
       "      <td>6.03</td>\n",
       "      <td>297.5</td>\n",
       "      <td>110.4</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>43.2199</td>\n",
       "      <td>12.6086</td>\n",
       "      <td>306.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2043</td>\n",
       "      <td>Terra</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>69</td>\n",
       "      <td>6.03</td>\n",
       "      <td>293.5</td>\n",
       "      <td>10.7</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>37.0451</td>\n",
       "      <td>28.8563</td>\n",
       "      <td>302.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2320</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>38</td>\n",
       "      <td>6.03</td>\n",
       "      <td>290.5</td>\n",
       "      <td>32.9</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>37.0504</td>\n",
       "      <td>28.8543</td>\n",
       "      <td>308.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2320</td>\n",
       "      <td>Aqua</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>74</td>\n",
       "      <td>6.03</td>\n",
       "      <td>290.3</td>\n",
       "      <td>56.2</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2108 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            latitude  longitude  brightness  scan  track  acq_time satellite  \\\n",
       "acq_date                                                                       \n",
       "2021-08-05   44.1170    25.1176       311.1   1.0    1.0        26      Aqua   \n",
       "2021-08-05   42.0245    20.2539       300.0   1.3    1.1        26      Aqua   \n",
       "2021-08-05   42.0330    20.2704       308.4   1.3    1.1        26      Aqua   \n",
       "2021-08-05   42.0345    20.2566       353.5   1.3    1.1        26      Aqua   \n",
       "2021-08-05   42.0362    20.2410       325.0   1.3    1.1        26      Aqua   \n",
       "...              ...        ...         ...   ...    ...       ...       ...   \n",
       "2021-08-07   44.7821    20.5855       326.8   1.1    1.1      2043     Terra   \n",
       "2021-08-07   44.7837    20.5996       362.9   1.1    1.1      2043     Terra   \n",
       "2021-08-07   43.2199    12.6086       306.7   1.5    1.2      2043     Terra   \n",
       "2021-08-07   37.0451    28.8563       302.3   3.6    1.8      2320      Aqua   \n",
       "2021-08-07   37.0504    28.8543       308.4   3.6    1.8      2320      Aqua   \n",
       "\n",
       "           instrument  confidence  version  bright_t31    frp daynight  type  \n",
       "acq_date                                                                      \n",
       "2021-08-05      MODIS          82     6.03       287.8   11.6        N     0  \n",
       "2021-08-05      MODIS           2     6.03       289.6    4.4        N     0  \n",
       "2021-08-05      MODIS          74     6.03       291.1   11.4        N     0  \n",
       "2021-08-05      MODIS         100     6.03       295.1  101.7        N     0  \n",
       "2021-08-05      MODIS         100     6.03       291.2   32.3        N     0  \n",
       "...               ...         ...      ...         ...    ...      ...   ...  \n",
       "2021-08-07      MODIS         100     6.03       292.9   29.1        N     0  \n",
       "2021-08-07      MODIS         100     6.03       297.5  110.4        N     0  \n",
       "2021-08-07      MODIS          69     6.03       293.5   10.7        N     0  \n",
       "2021-08-07      MODIS          38     6.03       290.5   32.9        N     0  \n",
       "2021-08-07      MODIS          74     6.03       290.3   56.2        N     0  \n",
       "\n",
       "[2108 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_table('../data/modis/level2/frp/2021/08/fire_archive_M-C61_251212.csv', delimiter=',', header=[0], index_col=5)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the dataframe above, let us only select the columns of interest for us. This makes the handling of the dataframe much easier. The columns of interest are: `acq_date`, `latitude`, `longitude`, `confidence` and `frp`. You can use the function `filter()` to select specific columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>confidence</th>\n",
       "      <th>frp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acq_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>44.1170</td>\n",
       "      <td>25.1176</td>\n",
       "      <td>82</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0245</td>\n",
       "      <td>20.2539</td>\n",
       "      <td>2</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0330</td>\n",
       "      <td>20.2704</td>\n",
       "      <td>74</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0345</td>\n",
       "      <td>20.2566</td>\n",
       "      <td>100</td>\n",
       "      <td>101.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0362</td>\n",
       "      <td>20.2410</td>\n",
       "      <td>100</td>\n",
       "      <td>32.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>44.7821</td>\n",
       "      <td>20.5855</td>\n",
       "      <td>100</td>\n",
       "      <td>29.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>44.7837</td>\n",
       "      <td>20.5996</td>\n",
       "      <td>100</td>\n",
       "      <td>110.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>43.2199</td>\n",
       "      <td>12.6086</td>\n",
       "      <td>69</td>\n",
       "      <td>10.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>37.0451</td>\n",
       "      <td>28.8563</td>\n",
       "      <td>38</td>\n",
       "      <td>32.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-07</th>\n",
       "      <td>37.0504</td>\n",
       "      <td>28.8543</td>\n",
       "      <td>74</td>\n",
       "      <td>56.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2108 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            latitude  longitude  confidence    frp\n",
       "acq_date                                          \n",
       "2021-08-05   44.1170    25.1176          82   11.6\n",
       "2021-08-05   42.0245    20.2539           2    4.4\n",
       "2021-08-05   42.0330    20.2704          74   11.4\n",
       "2021-08-05   42.0345    20.2566         100  101.7\n",
       "2021-08-05   42.0362    20.2410         100   32.3\n",
       "...              ...        ...         ...    ...\n",
       "2021-08-07   44.7821    20.5855         100   29.1\n",
       "2021-08-07   44.7837    20.5996         100  110.4\n",
       "2021-08-07   43.2199    12.6086          69   10.7\n",
       "2021-08-07   37.0451    28.8563          38   32.9\n",
       "2021-08-07   37.0504    28.8543          74   56.2\n",
       "\n",
       "[2108 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frp = df.filter(['acq_date','latitude','longitude','confidence','frp'])\n",
    "frp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we filter the dataframe for rows which have an acquisition date or `acq_date` of `2021-08-05`. You will see that the number of rows is reduced to 785 rows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>confidence</th>\n",
       "      <th>frp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acq_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>44.1170</td>\n",
       "      <td>25.1176</td>\n",
       "      <td>82</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0245</td>\n",
       "      <td>20.2539</td>\n",
       "      <td>2</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0330</td>\n",
       "      <td>20.2704</td>\n",
       "      <td>74</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0345</td>\n",
       "      <td>20.2566</td>\n",
       "      <td>100</td>\n",
       "      <td>101.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0362</td>\n",
       "      <td>20.2410</td>\n",
       "      <td>100</td>\n",
       "      <td>32.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3375</td>\n",
       "      <td>28.3422</td>\n",
       "      <td>87</td>\n",
       "      <td>38.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3261</td>\n",
       "      <td>28.3095</td>\n",
       "      <td>100</td>\n",
       "      <td>73.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3241</td>\n",
       "      <td>28.3384</td>\n",
       "      <td>79</td>\n",
       "      <td>33.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.0630</td>\n",
       "      <td>31.4832</td>\n",
       "      <td>52</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3310</td>\n",
       "      <td>28.3050</td>\n",
       "      <td>100</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>785 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            latitude  longitude  confidence    frp\n",
       "acq_date                                          \n",
       "2021-08-05   44.1170    25.1176          82   11.6\n",
       "2021-08-05   42.0245    20.2539           2    4.4\n",
       "2021-08-05   42.0330    20.2704          74   11.4\n",
       "2021-08-05   42.0345    20.2566         100  101.7\n",
       "2021-08-05   42.0362    20.2410         100   32.3\n",
       "...              ...        ...         ...    ...\n",
       "2021-08-05   37.3375    28.3422          87   38.7\n",
       "2021-08-05   37.3261    28.3095         100   73.4\n",
       "2021-08-05   37.3241    28.3384          79   33.2\n",
       "2021-08-05   37.0630    31.4832          52    8.7\n",
       "2021-08-05   37.3310    28.3050         100   93.0\n",
       "\n",
       "[785 rows x 4 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frp = frp.filter(like='2021-08-05', axis=0)\n",
    "frp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we remove the rows which have a confidence level below 60 percent. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>confidence</th>\n",
       "      <th>frp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acq_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>44.1170</td>\n",
       "      <td>25.1176</td>\n",
       "      <td>82</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0330</td>\n",
       "      <td>20.2704</td>\n",
       "      <td>74</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0345</td>\n",
       "      <td>20.2566</td>\n",
       "      <td>100</td>\n",
       "      <td>101.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>42.0362</td>\n",
       "      <td>20.2410</td>\n",
       "      <td>100</td>\n",
       "      <td>32.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>41.8277</td>\n",
       "      <td>22.7949</td>\n",
       "      <td>79</td>\n",
       "      <td>16.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3396</td>\n",
       "      <td>28.3121</td>\n",
       "      <td>100</td>\n",
       "      <td>74.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3375</td>\n",
       "      <td>28.3422</td>\n",
       "      <td>87</td>\n",
       "      <td>38.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3261</td>\n",
       "      <td>28.3095</td>\n",
       "      <td>100</td>\n",
       "      <td>73.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3241</td>\n",
       "      <td>28.3384</td>\n",
       "      <td>79</td>\n",
       "      <td>33.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05</th>\n",
       "      <td>37.3310</td>\n",
       "      <td>28.3050</td>\n",
       "      <td>100</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>650 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            latitude  longitude  confidence    frp\n",
       "acq_date                                          \n",
       "2021-08-05   44.1170    25.1176          82   11.6\n",
       "2021-08-05   42.0330    20.2704          74   11.4\n",
       "2021-08-05   42.0345    20.2566         100  101.7\n",
       "2021-08-05   42.0362    20.2410         100   32.3\n",
       "2021-08-05   41.8277    22.7949          79   16.6\n",
       "...              ...        ...         ...    ...\n",
       "2021-08-05   37.3396    28.3121         100   74.8\n",
       "2021-08-05   37.3375    28.3422          87   38.7\n",
       "2021-08-05   37.3261    28.3095         100   73.4\n",
       "2021-08-05   37.3241    28.3384          79   33.2\n",
       "2021-08-05   37.3310    28.3050         100   93.0\n",
       "\n",
       "[650 rows x 4 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frp = frp[frp['confidence'] >= 60]\n",
    "frp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualise MODIS MCD14DL Level 2 data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can make use of the `ListedColorMap` function from the matplotlib library to define the colors for each fire radiative power (FRP) class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "frp_cm = ListedColormap([[0, 0, 255./255.],\n",
    "                                 [176./255., 196./255., 222./255.],\n",
    "                                 [255./255., 255./255., 0],\n",
    "                                 [1., 140./255., 0],\n",
    "                                 [178./255., 34./255., 34./255.],\n",
    "                                 [1, 0, 0]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can define the levels for the respective FRP classes in a list stored in the variable `bounds`. You can also use the `.BoundaryNorm()` function from `matplotlib.colors` to define the norm that you will use for plotting later. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "bounds = [0, 30, 40, 60, 80, 120, 500]\n",
    "norm = BoundaryNorm(bounds, frp_cm.N)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last step is to visualize the `FRP` data with matplotlib's `scatter` function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plotting code can be divided in five main parts:\n",
    "* **Initiate a matplotlib figure**: Initiate a matplotlib plot and define the size of the plot\n",
    "* **Specify coastlines, borders and a grid**: specify additional features to be added to the plot\n",
    "* **Plotting function**: plot the data with the plotting function `scatter`\n",
    "* **Specify color bar**: specify the color bar properties\n",
    "* **Set plot title**: specify title of the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initiate a matplotlib figure\n",
    "fig=plt.figure(figsize=(20, 12))\n",
    "ax=plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "# Specify coastlines and borders\n",
    "ax.coastlines(zorder=3)\n",
    "ax.add_feature(cfeature.BORDERS, edgecolor='black', linewidth=1, zorder=3)\n",
    "\n",
    "# Specify a grid\n",
    "gl = ax.gridlines()\n",
    "gl = ax.gridlines(draw_labels=True, linestyle='--')\n",
    "gl.top_labels=False\n",
    "gl.right_labels=False\n",
    "gl.xformatter=LONGITUDE_FORMATTER\n",
    "gl.yformatter=LATITUDE_FORMATTER\n",
    "gl.xlabel_style={'size':14}\n",
    "gl.ylabel_style={'size':14}\n",
    "\n",
    "# Set the plot extent\n",
    "ax.set_extent([10, 30, 35, 45], ccrs.PlateCarree())\n",
    "\n",
    "# Plotting function\n",
    "img1 = plt.scatter(frp['longitude'],frp['latitude'], c=frp['frp'],\n",
    "                   edgecolors='none',\n",
    "                   cmap=frp_cm,\n",
    "                   norm=norm,\n",
    "                   zorder=2)\n",
    "\n",
    "\n",
    "# Specify colorbar \n",
    "cbar = fig.colorbar(img1, ax=ax, orientation='horizontal', fraction=0.04, pad=0.1)\n",
    "cbar.set_label('MW',fontsize=16)\n",
    "cbar.ax.tick_params(labelsize=14)\n",
    "\n",
    "# Set plot title\n",
    "ax.set_title('MODIS Fire Radiative Power Pixel - 05 August 2021', fontsize=20, pad=20.0)\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### References\n",
    "* MODIS Collection 61 Hotspot / Active Fire Detections MCD14ML distributed from NASA FIRMS. Available on-line https://earthdata.nasa.gov/firms. doi:10.5067/FIRMS/MODIS/MCD14ML\n",
    "\n",
    "* Some code in this notebook was adapted from the following source:\n",
    "    * origin: https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/90_workshops/202005_fire_workshop/62_case_study_sweden_fires_summer_2018_self_paced.ipynb\n",
    "    * copyright: 2022, EUMETSAT\n",
    "    * license: MIT\n",
    "    * retrieved: 2022-06-28 by Sabrina Szeto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Return to the case study\n",
    "Monitoring active fires with next-generation satellites: Mediterranean Fires Case Study <br>\n",
    "[](med_part2_fig2)\n",
    "```"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}