sat_drone_in_ds_spark_df.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spark + AI Summit 2020\n",
    "## Bring Satellite & Drone Imagery into Your Data Science Workflows\n",
    "\n",
    "**Jason T Brown**, Senior Data Scientist at [Astraea, Inc](https://astraea.earth/)\n",
    "\n",
    "### Purpose of this notebook\n",
    "\n",
    "Facilitate exploratory data analysis of this [Kaggle California wildfire dataset](https://www.kaggle.com/ananthu017/california-wildfire-incidents-20132020) and integration of land surface temperature data from [MODIS satellite mission](https://lpdaac.usgs.gov/products/mod11a1v006/).\n",
    "\n",
    "This is a demo given in [the talk](https://databricks.com/session_na20/bring-satellite-and-drone-imagery-into-your-data-science-workflows) \"Bring Satellite & Drone Imagery into Your Data Science Workflows\" Friday June 26 at Spark+AI Summit.\n",
    "\n",
    "### Running this notebook\n",
    "\n",
    "You can sign up for a free trial of Astraea EarthAI Notebook which provides a fully managed JupyerLab notebook environment with RasterFrames and other dependencies already installed and configured. Visit our [products page](https://astraea.earth/platform/#notebook) to get your free trial started! 🎉\n",
    "\n",
    "You can also find other procedures for [getting started here](https://rasterframes.io/getting-started.html).\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "import geopandas\n",
    "import numpy\n",
    "\n",
    "import shapely.geometry\n",
    "import pyrasterframes\n",
    "from pyrasterframes.rasterfunctions import *\n",
    "from pyrasterframes.utils import create_rf_spark_session\n",
    "import pyrasterframes.rf_ipython\n",
    "import pyspark.sql.functions as F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "spark = create_rf_spark_session()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the EarthAI Notebook environment, you can access the Spark UI from the `Spark` menu item."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define functions to handle geometry objects\n",
    "\n",
    "These will create geometry objects for describing the fires. The first function `clean_lon_lat_cali` does some checks and creates a point geometry based on the two numeric longitude and latitude columns. There is no defined polygon describing the region affected by the fire, but there is an area of acres burned. The function `point_acres_to_poly` will create a roughly circular polygon around the point, of the same area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark.sql.functions import udf\n",
    "import geomesa_pyspark \n",
    "from geomesa_pyspark.types import PointUDT, PolygonUDT\n",
    "\n",
    "# @udf(PointUDT())\n",
    "def clean_lon_lat_cali(lon: float, lat: float) -> shapely.geometry.Point:\n",
    "    \"\"\" Check the following \n",
    "         - both `lon` and `lat` arguments are non null\n",
    "         - longitudes must range between -125 and -113; \n",
    "         - latitudes must range 32, 42\n",
    "        For simplicity in any of these cases return an empty Point\n",
    "        Else give a Point with the given `lon` and `lat`\n",
    "    \"\"\"\n",
    "    import math\n",
    "    import shapely.geometry\n",
    "    if not math.isnan(lon) and (-125.0 < lon < -113) and \\\n",
    "        not math.isnan(lat) and (32.0 < lat < 42.0):\n",
    "        return shapely.geometry.Point(lon, lat)\n",
    "    else:\n",
    "        return shapely.geometry.Point()\n",
    "    \n",
    "# @udf(PolygonUDT())\n",
    "def point_acres_to_poly(point: shapely.geometry.Point, acres: float) -> shapely.geometry.Polygon:\n",
    "    \"\"\"\n",
    "    Compute appox radius in arc \n",
    "    If acres is null or 0, return nominal 100 acre fire area\n",
    "    Double the radius for an approx circular polygon containing the fire, or much of it\n",
    "    \"\"\"\n",
    "    import math\n",
    "    if math.isnan(acres) or acres <= 0.0:\n",
    "        acres = 100\n",
    "    area_approx_km2 = acres / 247 \n",
    "    area_approx_arc = area_approx_km2 / 111.1 / 111.1\n",
    "    radius_arc = math.sqrt(area_approx_arc / math.pi)\n",
    "    return point.buffer(radius_arc)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the wildfire dataset\n",
    "\n",
    "If you have not yet configured the `kaggle` cli, see the instructions [here](https://github.com/Kaggle/kaggle-api#api-credentials)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: kaggle in /home/jovyan/.local/lib/python3.7/site-packages (1.5.6)\n",
      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.7/site-packages (from kaggle) (4.45.0)\n",
      "Requirement already satisfied: python-dateutil in /opt/conda/lib/python3.7/site-packages (from kaggle) (2.8.1)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/lib/python3.7/site-packages (from kaggle) (1.14.0)\n",
      "Requirement already satisfied: python-slugify in /home/jovyan/.local/lib/python3.7/site-packages (from kaggle) (4.0.0)\n",
      "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /home/jovyan/.local/lib/python3.7/site-packages (from kaggle) (1.24.3)\n",
      "Requirement already satisfied: certifi in /opt/conda/lib/python3.7/site-packages (from kaggle) (2020.4.5.1)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from kaggle) (2.23.0)\n",
      "Requirement already satisfied: text-unidecode>=1.3 in /home/jovyan/.local/lib/python3.7/site-packages (from python-slugify->kaggle) (1.3)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->kaggle) (2.9)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests->kaggle) (3.0.4)\n"
     ]
    }
   ],
   "source": [
    "!pip install --user kaggle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "if [ ! -f California_Fire_Incidents.csv ]\n",
    "then\n",
    "    /home/jovyan/.local/bin/kaggle datasets download \\\n",
    "            -d ananthu017/california-wildfire-incidents-20132020\n",
    "    unzip california-wildfire-incidents-20132020.zip\n",
    "fi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read the data and create DF\n",
    "\n",
    "For brevity and simplicitiy use the Pandas CSV reader then create a spark DataFrame with minimal tweaking.\n",
    "\n",
    "Note the `drop_duplicates` is because the original file repeats records for different counties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1609"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cal_fire_df = pandas.read_csv('California_Fire_Incidents.csv') \\\n",
    "                    .drop_duplicates('UniqueId', keep='first')\n",
    "len(cal_fire_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['AcresBurned', 'Active', 'AdminUnit', 'AirTankers', 'ArchiveYear',\n",
       "       'CalFireIncident', 'CanonicalUrl', 'ConditionStatement',\n",
       "       'ControlStatement', 'Counties', 'CountyIds', 'CrewsInvolved', 'Dozers',\n",
       "       'Engines', 'Extinguished', 'Fatalities', 'Featured', 'Final',\n",
       "       'FuelType', 'Helicopters', 'Injuries', 'Latitude', 'Location',\n",
       "       'Longitude', 'MajorIncident', 'Name', 'PercentContained',\n",
       "       'PersonnelInvolved', 'Public', 'SearchDescription', 'SearchKeywords',\n",
       "       'Started', 'Status', 'StructuresDamaged', 'StructuresDestroyed',\n",
       "       'StructuresEvacuated', 'StructuresThreatened', 'UniqueId', 'Updated',\n",
       "       'WaterTenders'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cal_fire_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clean up some of the NA handling so we can create a Spark DataFrame from this later. This is because in pandas 0.25 missing values are NaN, which are interpreted as float, even in string type columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in cal_fire_df.columns:\n",
    "    s = cal_fire_df[c]\n",
    "    if s.dtype == numpy.dtype('O'):\n",
    "        #usually string with a double null\n",
    "        cal_fire_df[c] = s.fillna('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we process the coordinates into point and polygon objects. We do this in Pandas dataframe, but can also do it in the Spark DataFrame, using the same functions as UDFs. We do it in the Pandas DataFrame, in order to use the python side geometry object in our search for satellite data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "cal_fire_df['geom'] = cal_fire_df.apply(\n",
    "    lambda r: \n",
    "    point_acres_to_poly(clean_lon_lat_cali(r.Longitude, r.Latitude), r.AcresBurned), \n",
    "    axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next clean up some of the date fields. This is also important because we are going to use it to search for satellite images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dateutil.parser import isoparse\n",
    "cal_fire_df['start_date'] = cal_fire_df.Started.apply(\n",
    "    lambda d: isoparse(d) if d > '2013' else None\n",
    ")\n",
    "cal_fire_df['extinguish_date'] = cal_fire_df.Extinguished.apply(\n",
    "    lambda d: isoparse(d) if d > '2013' else None\n",
    ")\n",
    "cal_fire_df = cal_fire_df[~(cal_fire_df.extinguish_date < cal_fire_df.start_date)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1583"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(cal_fire_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For now, let's filter to fires in the year 2019. This will help our demo proceed a little quicker. You can come back to the notebook and remove this filter if you want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2017.0    432\n",
       "2018.0    305\n",
       "2019.0    248\n",
       "2016.0    182\n",
       "2013.0    153\n",
       "2015.0    148\n",
       "2014.0    113\n",
       "Name: start_date, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cal_fire_df.start_date.dt.year.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cal_fire_df = cal_fire_df[cal_fire_df.start_date.dt.year == 2019]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Look up satellite imagery\n",
    "\n",
    "\n",
    "Optional, we will use proprietary library `earthai` included in the EarthAI Notebook environment. You can also [skip ahead](#Short-cut) and find a prepared data file with results of these searches.\n",
    "\n",
    "\n",
    "First look for _collections_ of imagery about land surface temperature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>allowed</th>\n",
       "      <th>description</th>\n",
       "      <th>familyId</th>\n",
       "      <th>familyTitle</th>\n",
       "      <th>id</th>\n",
       "      <th>license</th>\n",
       "      <th>presentable</th>\n",
       "      <th>stac_extensions</th>\n",
       "      <th>stac_version</th>\n",
       "      <th>title</th>\n",
       "      <th>link</th>\n",
       "      <th>spatial_extent</th>\n",
       "      <th>temporal_extent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>MOD11A1: MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid V006</td>\n",
       "      <td>modis</td>\n",
       "      <td>MODIS</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>proprietary</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.9.0</td>\n",
       "      <td>MOD11A1 LST</td>\n",
       "      <td><a href=\"https://eod-catalog-svc-prod.astraea.earth/collections/mod11a1\" target=\"_blank\">https://eod-catalog-svc-prod.astraea.earth/collections/mod11a1</a></td>\n",
       "      <td>POLYGON ((180 -90, 180 90, -180 90, -180 -90, 1...</td>\n",
       "      <td>(2000-02-24 00:00:00+00:00, None)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   allowed                                        description familyId  \\\n",
       "2     True  MOD11A1: MODIS/Terra Land Surface Temperature/...    modis   \n",
       "\n",
       "  familyTitle       id      license  presentable stac_extensions stac_version  \\\n",
       "2       MODIS  mod11a1  proprietary         True              []        0.9.0   \n",
       "\n",
       "         title                                               link  \\\n",
       "2  MOD11A1 LST  https://eod-catalog-svc-prod.astraea.earth/col...   \n",
       "\n",
       "                                      spatial_extent  \\\n",
       "2  POLYGON ((180 -90, 180 90, -180 90, -180 -90, ...   \n",
       "\n",
       "                     temporal_extent  \n",
       "2  (2000-02-24 00:00:00+00:00, None)  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "try: \n",
    "    from earthai import earth_ondemand\n",
    "    \n",
    "    _ = earth_ondemand.collections()\n",
    "    collection = _[_.description.str.lower().str.contains('temp')].iloc[0].id\n",
    "    display(_[_.id==collection])\n",
    "except ImportError:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taking the id of this result, we will look at the `assets` available for the collection. Many of these are the _channels_ available in the images. Some are associated metadata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>band_name</th>\n",
       "      <th>eo_gsd</th>\n",
       "      <th>title</th>\n",
       "      <th>type</th>\n",
       "      <th>collection_id</th>\n",
       "      <th>roles</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>QCD</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Daytime LST Quality Indicators (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DVT</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Local time of day observation (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LSTN</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Nighttime Land Surface Temperature (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CDC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Day clear-sky coverage (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E31</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Band 31 emissivity (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NVT</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Local time of night observation (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NVA</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>View zenith angle of night observation (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DVA</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>View zenith angle of day observation (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LSTD</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Daytime Land Surface Temperature (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>E32</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Band 32 emissivity (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CNC</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Night clear-sky coverage (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>eod_thumbnail</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thumbnail</td>\n",
       "      <td>image/jpeg</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>[thumbnail]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>QCN</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Nighttime LST Quality indicators (1000m)</td>\n",
       "      <td>image/tiff</td>\n",
       "      <td>mod11a1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        band_name  eo_gsd                                           title  \\\n",
       "0             QCD  1000.0          Daytime LST Quality Indicators (1000m)   \n",
       "1             DVT  1000.0           Local time of day observation (1000m)   \n",
       "2            LSTN  1000.0      Nighttime Land Surface Temperature (1000m)   \n",
       "3             CDC  1000.0                  Day clear-sky coverage (1000m)   \n",
       "4             E31  1000.0                      Band 31 emissivity (1000m)   \n",
       "5             NVT  1000.0         Local time of night observation (1000m)   \n",
       "6             NVA  1000.0  View zenith angle of night observation (1000m)   \n",
       "7             DVA  1000.0    View zenith angle of day observation (1000m)   \n",
       "8            LSTD  1000.0        Daytime Land Surface Temperature (1000m)   \n",
       "9             E32  1000.0                      Band 32 emissivity (1000m)   \n",
       "10            CNC  1000.0                Night clear-sky coverage (1000m)   \n",
       "11  eod_thumbnail     NaN                                       Thumbnail   \n",
       "12            QCN  1000.0        Nighttime LST Quality indicators (1000m)   \n",
       "\n",
       "          type collection_id        roles  \n",
       "0   image/tiff       mod11a1          NaN  \n",
       "1   image/tiff       mod11a1          NaN  \n",
       "2   image/tiff       mod11a1          NaN  \n",
       "3   image/tiff       mod11a1          NaN  \n",
       "4   image/tiff       mod11a1          NaN  \n",
       "5   image/tiff       mod11a1          NaN  \n",
       "6   image/tiff       mod11a1          NaN  \n",
       "7   image/tiff       mod11a1          NaN  \n",
       "8   image/tiff       mod11a1          NaN  \n",
       "9   image/tiff       mod11a1          NaN  \n",
       "10  image/tiff       mod11a1          NaN  \n",
       "11  image/jpeg       mod11a1  [thumbnail]  \n",
       "12  image/tiff       mod11a1          NaN  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "try:\n",
    "    display(earth_ondemand.assets(collection=collection))\n",
    "except ImportError:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make our search for _items_ in the _collection_, based on time and location of the fire.\n",
    "\n",
    "This will make many separate calls to the search REST API and so may take several minutes to complete."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "_fire_catalogs = []\n",
    "for i, row in cal_fire_df.iterrows():\n",
    "    if not row.geom.is_empty:\n",
    "        try:\n",
    "            q = earth_ondemand.read_catalog(geo=row.geom, \n",
    "                                        start_datetime=row.start_date.to_pydatetime(),\n",
    "                                        end_datetime=row.extinguish_date.to_pydatetime(),\n",
    "                                        max_cloud_cover=15.0,\n",
    "                                        collections=collection,\n",
    "                                        verbose=False # support for this option is coming soon!\n",
    "                                       )\n",
    "            q['UniqueId'] = row.UniqueId\n",
    "            _fire_catalogs.append(q)\n",
    "        except:\n",
    "            pass\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "611\n"
     ]
    }
   ],
   "source": [
    "if len(_fire_catalogs):\n",
    "    fire_catalog = geopandas.GeoDataFrame(pandas.concat(_fire_catalogs), geometry='geometry', crs='epsg:4326')\n",
    "    fire_catalog \\\n",
    "        .drop(columns=['eod_epsg4326_geometry_simplified', 'proj_geometry']) \\\n",
    "        .to_file('california_fire_catalog_earth_ondemand.geojson', driver='GeoJSON')\n",
    "    \n",
    "    print(len(fire_catalog))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Short cut\n",
    "\n",
    "The result of the above queries are saved in the repo as a GeoJSON file. If you are in EarthAI notebook you skip over this. If you are in another environment, pick up from here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "fire_catalog = geopandas.read_file('california_fire_catalog_earth_ondemand.geojson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['eod_collection_attribution', 'eod_collection_display_name',\n",
       "       'eod_collection_family', 'eod_collection_family_display_name',\n",
       "       'eod_grid_id', 'created', 'datetime', 'eo_cloud_cover', 'eo_gsd',\n",
       "       'eo_instrument', 'proj_crs', 'updated', 'QCD', 'DVT', 'LSTN', 'CDC',\n",
       "       'E31', 'NVT', 'NVA', 'DVA', 'LSTD', 'E32', 'CNC', 'eod_thumbnail',\n",
       "       'QCN', 'self_link', 'bundle_link', 'preview_link', 'fullres_link',\n",
       "       'maplayer_link', 'leaflet_link', 'statistics_link', 'tileinfo_link',\n",
       "       'collection', 'id', 'UniqueId', 'geometry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fire_catalog.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UniqueId</th>\n",
       "      <th>datetime</th>\n",
       "      <th>proj_crs</th>\n",
       "      <th>LSTD</th>\n",
       "    </tr>\n",
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       "      <th>0</th>\n",
       "      <td>00e6d6d5-f168-45fa-817a-f7758a5170b7</td>\n",
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       "      <th>1</th>\n",
       "      <td>00e6d6d5-f168-45fa-817a-f7758a5170b7</td>\n",
       "      <td>2019-11-02T00:00:00</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00e6d6d5-f168-45fa-817a-f7758a5170b7</td>\n",
       "      <td>2019-11-01T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019305/MOD11A1.A2019305.h08v05.006.2019306083949_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>828b2492-fc44-4fc0-97fa-f0b439e6fa0d</td>\n",
       "      <td>2019-10-28T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/04/2019301/MOD11A1.A2019301.h08v04.006.2019304210444_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8f23653c-1a4c-4609-bfb3-72b1665eab69</td>\n",
       "      <td>2019-10-31T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019304/MOD11A1.A2019304.h08v05.006.2019305091905_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8f23653c-1a4c-4609-bfb3-72b1665eab69</td>\n",
       "      <td>2019-11-02T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019306/MOD11A1.A2019306.h08v05.006.2019307085748_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8f23653c-1a4c-4609-bfb3-72b1665eab69</td>\n",
       "      <td>2019-11-01T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019305/MOD11A1.A2019305.h08v05.006.2019306083949_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>207f72f7-1453-40dc-919e-3551f7041b22</td>\n",
       "      <td>2019-10-10T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019283/MOD11A1.A2019283.h08v05.006.2019284085029_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>207f72f7-1453-40dc-919e-3551f7041b22</td>\n",
       "      <td>2019-10-11T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019284/MOD11A1.A2019284.h08v05.006.2019285085112_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ff8701f0-a12a-4b40-baa9-b58c4e2e31f3</td>\n",
       "      <td>2019-10-19T00:00:00</td>\n",
       "      <td>+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs</td>\n",
       "      <td>s3://astraea-opendata/MOD11A1.006/08/05/2019292/MOD11A1.A2019292.h08v05.006.2019304135739_LSTD_B01.TIF</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               UniqueId             datetime  \\\n",
       "0  00e6d6d5-f168-45fa-817a-f7758a5170b7  2019-10-31T00:00:00   \n",
       "1  00e6d6d5-f168-45fa-817a-f7758a5170b7  2019-11-02T00:00:00   \n",
       "2  00e6d6d5-f168-45fa-817a-f7758a5170b7  2019-11-01T00:00:00   \n",
       "3  828b2492-fc44-4fc0-97fa-f0b439e6fa0d  2019-10-28T00:00:00   \n",
       "4  8f23653c-1a4c-4609-bfb3-72b1665eab69  2019-10-31T00:00:00   \n",
       "5  8f23653c-1a4c-4609-bfb3-72b1665eab69  2019-11-02T00:00:00   \n",
       "6  8f23653c-1a4c-4609-bfb3-72b1665eab69  2019-11-01T00:00:00   \n",
       "7  207f72f7-1453-40dc-919e-3551f7041b22  2019-10-10T00:00:00   \n",
       "8  207f72f7-1453-40dc-919e-3551f7041b22  2019-10-11T00:00:00   \n",
       "9  ff8701f0-a12a-4b40-baa9-b58c4e2e31f3  2019-10-19T00:00:00   \n",
       "\n",
       "                                            proj_crs  \\\n",
       "0  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "1  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "2  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "3  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "4  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "5  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "6  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "7  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "8  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "9  +proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.1...   \n",
       "\n",
       "                                                LSTD  \n",
       "0  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "1  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "2  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "3  s3://astraea-opendata/MOD11A1.006/08/04/201930...  \n",
       "4  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "5  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "6  s3://astraea-opendata/MOD11A1.006/08/05/201930...  \n",
       "7  s3://astraea-opendata/MOD11A1.006/08/05/201928...  \n",
       "8  s3://astraea-opendata/MOD11A1.006/08/05/201928...  \n",
       "9  s3://astraea-opendata/MOD11A1.006/08/05/201929...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fire_catalog[['UniqueId', 'datetime', 'proj_crs', 'LSTD', ]].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merge fire dataframe and `catalog`\n",
    "\n",
    "Finally this dataset is what we will send into our Spark `DataFrameReader`. \n",
    "\n",
    "The columns of URLs pointing to imagery data will be used to access the imagery data. The columns from `cal_fire_df` are about about the fires themselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "611"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fires_and_image_urls = cal_fire_df.merge(\n",
    "    fire_catalog.drop(columns=['updated']), \n",
    "    on='UniqueId')\n",
    "len(fires_and_image_urls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read satellite imagery  \n",
    "\n",
    "Read the raster imagery into a Spark DataFrame.\n",
    "\n",
    "The `LSTD` column will be converted from the S3 URL of the object, to a Tile. The URL is still available in the new `LSTD_path` column. The remaining columns are from the kaggle data (CamelCase ones), and from the Earth OnDemand query (snake_case ones)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = spark.read.raster(fires_and_image_urls, catalog_col_names=['LSTD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- LSTD_path: string (nullable = false)\n",
      " |-- LSTD: struct (nullable = true)\n",
      " |    |-- tile_context: struct (nullable = true)\n",
      " |    |    |-- extent: struct (nullable = false)\n",
      " |    |    |    |-- xmin: double (nullable = false)\n",
      " |    |    |    |-- ymin: double (nullable = false)\n",
      " |    |    |    |-- xmax: double (nullable = false)\n",
      " |    |    |    |-- ymax: double (nullable = false)\n",
      " |    |    |-- crs: struct (nullable = false)\n",
      " |    |    |    |-- crsProj4: string (nullable = false)\n",
      " |    |-- tile: tile (nullable = false)\n",
      " |-- AcresBurned: double (nullable = true)\n",
      " |-- Active: boolean (nullable = true)\n",
      " |-- AdminUnit: string (nullable = true)\n",
      " |-- AirTankers: double (nullable = true)\n",
      " |-- ArchiveYear: long (nullable = true)\n",
      " |-- CalFireIncident: boolean (nullable = true)\n",
      " |-- CanonicalUrl: string (nullable = true)\n",
      " |-- ConditionStatement: string (nullable = true)\n",
      " |-- ControlStatement: string (nullable = true)\n",
      " |-- Counties: string (nullable = true)\n",
      " |-- CountyIds: string (nullable = true)\n",
      " |-- CrewsInvolved: double (nullable = true)\n",
      " |-- Dozers: double (nullable = true)\n",
      " |-- Engines: double (nullable = true)\n",
      " |-- Extinguished: string (nullable = true)\n",
      " |-- Fatalities: double (nullable = true)\n",
      " |-- Featured: boolean (nullable = true)\n",
      " |-- Final: boolean (nullable = true)\n",
      " |-- FuelType: string (nullable = true)\n",
      " |-- Helicopters: double (nullable = true)\n",
      " |-- Injuries: double (nullable = true)\n",
      " |-- Latitude: double (nullable = true)\n",
      " |-- Location: string (nullable = true)\n",
      " |-- Longitude: double (nullable = true)\n",
      " |-- MajorIncident: boolean (nullable = true)\n",
      " |-- Name: string (nullable = true)\n",
      " |-- PercentContained: double (nullable = true)\n",
      " |-- PersonnelInvolved: double (nullable = true)\n",
      " |-- Public: boolean (nullable = true)\n",
      " |-- SearchDescription: string (nullable = true)\n",
      " |-- SearchKeywords: string (nullable = true)\n",
      " |-- Started: string (nullable = true)\n",
      " |-- Status: string (nullable = true)\n",
      " |-- StructuresDamaged: double (nullable = true)\n",
      " |-- StructuresDestroyed: double (nullable = true)\n",
      " |-- StructuresEvacuated: double (nullable = true)\n",
      " |-- StructuresThreatened: double (nullable = true)\n",
      " |-- UniqueId: string (nullable = true)\n",
      " |-- Updated: string (nullable = true)\n",
      " |-- WaterTenders: double (nullable = true)\n",
      " |-- geom: polygon (nullable = true)\n",
      " |-- start_date: timestamp (nullable = true)\n",
      " |-- extinguish_date: timestamp (nullable = true)\n",
      " |-- eod_collection_attribution: string (nullable = true)\n",
      " |-- eod_collection_display_name: string (nullable = true)\n",
      " |-- eod_collection_family: string (nullable = true)\n",
      " |-- eod_collection_family_display_name: string (nullable = true)\n",
      " |-- eod_grid_id: string (nullable = true)\n",
      " |-- created: string (nullable = true)\n",
      " |-- datetime: string (nullable = true)\n",
      " |-- eo_cloud_cover: double (nullable = true)\n",
      " |-- eo_gsd: double (nullable = true)\n",
      " |-- eo_instrument: string (nullable = true)\n",
      " |-- proj_crs: string (nullable = true)\n",
      " |-- QCD: string (nullable = true)\n",
      " |-- DVT: string (nullable = true)\n",
      " |-- LSTN: string (nullable = true)\n",
      " |-- CDC: string (nullable = true)\n",
      " |-- E31: string (nullable = true)\n",
      " |-- NVT: string (nullable = true)\n",
      " |-- NVA: string (nullable = true)\n",
      " |-- DVA: string (nullable = true)\n",
      " |-- E32: string (nullable = true)\n",
      " |-- CNC: string (nullable = true)\n",
      " |-- eod_thumbnail: string (nullable = true)\n",
      " |-- QCN: string (nullable = true)\n",
      " |-- self_link: string (nullable = true)\n",
      " |-- bundle_link: string (nullable = true)\n",
      " |-- preview_link: string (nullable = true)\n",
      " |-- fullres_link: string (nullable = true)\n",
      " |-- maplayer_link: string (nullable = true)\n",
      " |-- leaflet_link: string (nullable = true)\n",
      " |-- statistics_link: string (nullable = true)\n",
      " |-- tileinfo_link: string (nullable = true)\n",
      " |-- collection: string (nullable = true)\n",
      " |-- id: string (nullable = true)\n",
      " |-- geometry: multipolygon (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.printSchema()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now limit  to the Tiles that actually intersect our fire location buffer which we called `geom`. The column `geometry` is from the Earth OnDemand catalog and it is the footprint of the MODIS satellite image itself.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.filter(\n",
    "               st_intersects(\n",
    "                 st_reproject(rf_geometry('LSTD'), rf_crs('LSTD'), rf_mk_crs('epsg:4326')),\n",
    "                 df.geom\n",
    "                ) \n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "625"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take a look at the dataframe. You can double click the images in the table for a slightly bigger view."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>Showing only top 5 rows</caption>\n",
       "<thead>\n",
       "<tr><th>Name</th><th>LSTD</th><th>rf_crs(LSTD)</th><th>rf_extent(LSTD)</th><th>datetime</th><th>start_date</th><th>extinguish_date</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>Hill Fire </td><td><img 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\"></img></td><td>[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ]</td><td>[-1.0882289086781587E7, 3736153.74641576, -1.0645072975898175E7, 3973369.8572991733]</td><td>2019-10-31T00:00:00</td><td>2019-10-30 11:19:00</td><td>2019-11-02 18:44:00</td></tr>\n",
       "<tr><td>South Fire</td><td><img 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DlmoeUxGFCnoEOjevaef835+2Ico9pxywD06rGAC2eNCosmJuT+OIzLngZa9oSyZ4RdJJtl7+fJrSDH/bgHm89fNV35L7r+JrdQ+GZ/P7URezMypi/ij5sNYbhpAnSaKJPnbf1j6Cp6fWo7TJ9hoedsK10yRmICtW1K70TohyBQ5l+xaSki4yPHz9ygfM3q8xx7+IW8dtrecVUgdacTIHc/neI2466aX8LRjOUamy2A6YkTZexMKak/WWhBdmVZ6BPs45Nn442GqeGYYZkjmCGUPW8gC3cveMjoPI05KOCTHwzqrEOM0kGm6AH04h/xpO2a8AjQKIMl+QEcCEckE/+55TgQ1f+shedXmcwRpQ9juGMBiwwibLFwlXgIhHwo1MBUMs7aX4FPHlbp+4MVG2Bj1DXMEW4kCLCNpJc/23aaDZUANz7EM63gdZkRfX8NuW0gDQ0xir7+AJdXjSt7f/cONqOtOYYBO17WiH/cfvg5tdazfRznD/2ES6YZyVhdqhG6PQ542o8YSRqDOwd4+u35k9sJXNcEynIJmOoK8x45EtVF5zzmzBEsgp0wCqzMyAWEe6rgYBTNQAHKpchGS8XxID99JpqaFmvkZAYQEK7OimbkaODhUjwUVU9g90YlRVxk+mKlFknW5SZdFlTmKp2dXYbVtAMdidXizZwEJHyVycwKHRi2jcaeKCHcYYK5glMjYEJ/WKWlAUxcj26aBZ9EcLLoMpuMWDEedOPVuC5xJGcPXGhURSDBtwoqmIUXWtXTrKH5lWMc8Tb7An4Y0YKN4k4b6qxq0BqnqaaghmZOF/U1SvFT3COMHF5n5+vRIagUsIwIEamEdzcHQMwmZ5d/41nKk2HGs3SNjth2ofieHeKVGwQzpsnk6GZR5wY4fNP9Q2TWBvA3fGrgeo5MufLzyBBb4A+hLE1GTjt3X3Y6mqmn8LLgO0yNMnpf0GMi3JjFL2ZWTWCzcboOWBjU+ZqEzJJGzaZFxajCX0OGrK1/DS1OL4dClcHvVITw9sRKqc2WK3MvWz7RxTRIR9gJGer1obRtD/+FamEICR9DJImwUlWWp7yOGONOnoHtB7ybaPRz58pCBlJFxqBBclqduUAWOAGDT7Udw9P7l0H/QA7muCpNXuuDqJgPYw+5glRZl7BNoYznMdWo4RyCj/pV5OBlU98S3ZZNmAttfvRN3bdqrsG73NOxBsNaKfxncqNCua5wD2D/ZhGJGjcGjNTQYfUVXpIF5wgaRufspsctlxZDMDlx8GsNO6KgmjuAVXMS8zOc++MIOoCWuVAwPXtyCcMCG7X9zHPv2LkfOwdq9zwzvriKsrB567TQqjZioLUAbJrp3soTLqmE+Psqxrjzk5jpO+VogUTFEWgGmySxsvdT9TVlY93PWL1vAyXdYWp4bU5wluJTnAZE7KGq0SLv5nk8UMfHpDG5qOYUuwtwX1CvRcUff/EoBor5f23UIa8y9MFNyValOYYZsXJh530zU31U2jmDGgl/0rkLhOAWUbhZqDK1eLp4AT5okdfakfzXMq4JYkQnAVFTtznUSZG3iYIY+D9frRpjHAOuQhsIM4IpaOlNfMz6/eD+62kewO7SU6QPwHCc/QKCYqjIhZ+EOHjYiW85mkTuFL2zcjwiT9cuPbKKGP6J08VQzIZjoCIJ+Np1ieiG5I+n1sMbSkGeCSK5vQahRg1CLn6kJsA3JaHuApSBB4fSmSsztjGNLbS/8+iCa9ZNov2ZcKUPnTRXQ8o2H5D/4xCWe/VyGKJldunb9OBq1YcypE3h8ep3C6CXZZTPs4fg0jefkuJVppsCxLO7+yQRUXGxRW4teet7LcoyDmAmfVcmnSKmhHtMpej4RMTjMg4I/hWxRg7uX7lPo3QeGrkX4qRr4TsegjqZZKRgQqycfIMiDxgSWVE7g4u4mPBS5Bp6KMDy7LypMnyyaOKKZM8LqgOVfcmktI5BKqUD0YTondQT6GTr0eALD2+3M8xnoxzgNVE8wadPwNfj0cQvezC/AO6eX4Su3P4dlhmG4BVehxKzL+NOmq++X1fdM4ZHG78PFejxARk4Yf5qcruDg/3l8M7qnPfi3pU9gf3wBnnhpE1AH1LyZURS6pmFO0bDzp+z4HHcggVXRbuLOz5ME0nLejiwfd5yUkyizZghflkJr9ZTC4NXaQko79ygt4NVFkfhZNTzvjSDnL0ffHeXK2JaGMrG5bSlF8PH1t25G+Sy7favSaHLO8kg31vpTM5dauYw2+cVNCsaI1mjg6Gcrl0hfOE+wg5NCxB5ifjBrJ9jr1MNY5VFoYQ0rFZXgIlwZ3N21D90tlQrPoSWPHSadfVk7gFDiZr82jW837OIOVKMnxxKqaFIaLh4axCARZBF17aTKtjtTgX0TbbAvm4Hphw7m4RT0E6RaNczt1R6opkI0vpnDFCZkXTQMFbx5jllz9J4LDFS8LSNWRTygLeLTlR/gl+TwxSVaw+W6Mux6dj1qzrGc2+FH523n0N/bSB5Ij4n1oJBkFF9/9+Ns66rBYgPaD6yYfc9Pxzuv6Pkl0ragnl/gDVPfHPSzJI2mIogt9kGdk1G9b055n0m/FQZGgr7PqbCdsvF6w4zCZnYw0v1o4irl8VbbaSXqEUYgR1R72TrAtgVfkVc9dx5+XRDfGN4Olz6JVfYBXEhUKhOzDZZZHInUK2G/hkzfhXQlAj0enpvDSos18/gmMZzBaD8pofxMjmCLM3o8WXP0WqfSASwYZLCHw7qfAIxGGLpJgu0CBzxeN+H75i24tvo8Toar8dfv34rGx4qoHZ3AyMcqYJ6ScfJZSrVaCsrrNHeN4OzLrWj8gLzAzSpoK5KoeJjmOUxVD5s8gu4Vc3zF0QC0cyHENrRgbDvTUrAStgHyE29xBoB6gmCnGbFaGpUlnmpGi10DnfjT1oN45OhmuNgqTvrojDdEsM7YxwhAR6UzuVXay88BhOFzHisCi434xTvlMPlj+Nv2N/B+pBkDaQ+mM1asLeuHi3nfbYsq7dhPv/BF2PokuFnOCZQd5Ri1COeibDL1hSnJJuWqp8omV4DvcBrTSw2wjJP6TQpwWGTbVQf3IRmf+PIbOBevVA5iinOy4+LBevgP5jmSTVZOW4YKGjnrICp3iWHOJL695XmcSNZh72gNBu8AKt3TsH6ZiuGeQTomjU8Er2j6BedfxjKUo2LmgRg8PPZFRAPXaRIZBIOqUxPwXjQSN5TjhufeV6LOy8GleDnQiSWNI4j7dbjWNYxPOQ+T2CZ7yKtcZYBeuswc4KqN35YvfFILlZ31lMRGyJwebksc55JVaDFPKuIKEQJHc2XopzO8FWzHsaEaonu2dgtkVhkPkx6KKvsFi1ZQnEFsFTFKpQklkK7hXD7Rv2maMqxGUfaxClgSQYdnCD5DFBMc5Ldp0hCysNMhijcYJcQRbXW/Clxi8cpc3KUeRBdncd+ivfj6hRuh2eVEnF28mzvYEv6nNZDiE8rOV6zET4oT8HVk8g5iMjjNka6Ui9FmRLw/Srs4/KGqqoBs1CHtM+Ph05uRmzOg+ZcZBO4soqtxHBts3Sijwyc4S+CgoEBoAZNyDqHiZcQDCD5/9C9yqKAA00V59bWes5jLW2AiMmrVTyhdPbGooqkj5u0Ftx/P61DtDWE1F/+ZYyugZegsErnL1hSme52o20tH4qVOkN5tcCrMn/6PJijbojiEuoAVV17AwfNNiDr1uMHdj9fnFuG9My3QUPdXCOpR9T4bRYdHyNsnITGHxxaWY257Ere2nsRPR9YjecqFDBsyf77mXfzkyAYsOEaSgfo9cYlhDrHjxSVRzFkwU1dg1pBvkODqyWFmiRaWfh70xH6APDkNyetmarJD9yGftzyBZT86CU/KiVbTJEWldEqqlHxUIYkTAXhgDCMBxSX83ZcFBqh97AH5+pVvo9UQYOMmhH7ucKG0qdSFsGemEy53ghu5iDSTel/Gpwgv0llOyMQ4k0dp9vRcJTStKbStHUUsq8ftNR/gkbc+jrFNeji7dWyocLeJyMkP7Tdd0HRS16+RlQMbvrvjKaXDt29uId7vbsJnVh/A43s3oYFVhHaWJSN3r2RgubekEsE/TGB15She6uuE9RULKqZzmP5sCrvv2wwvh0EHP1GGygMEcmdG+DwCP+EEiYQCBNWjMzCw3Bu+3oriKaYUikHTFZzutddDEyEnMDlLbt8Hx+pphA958FR0Ja7qvAAHDS92f5loTfNPUhZyc1kBgMK5LgsHkNi5+9dz65W2q1DcCo29XsPjUYmex4JO2LRpJS+fOl2Hm9Z+iC73ON49vBCaBEEXW6TrbjillGlvT7RiS2U3HrvrRrgynNvrZlog2hd5frZTR3lVkoudZg1uYJmYV4DfY4G1uHi0FlWLJwjMtBwEISikVm+C3H/d09Tfuazov8WBAk/uXM6DGscSPOGjx8pUw81+fQb23Zd4hNDCIhxNcxi2udA6yGqD2j0B/kDOn+leEXRKQ+NouZPRhOROkSWpiu9DAYlMLQKj1D85ifGID2tuO41tTg6WENw6SHD97hK7XvxNAEC6lnJdFg5w5/K3EecAxdP9yzAUKFccAbN6GAgAl1aP4f39HVTu8K7JtCUo0eqPlnNhs/C2hnFP0x4FiP2yZyWK3VY8e4SVQIEdtFkuNFm3RL0Nf/qjF5W0Ef6sSeEOXpntwqGGZgIyDXosXnxnx5MMqUXMVNvwARmkDt8keo41YXKLj4BPkEIydm54XxGHPDOxFDlngbiCJea0kYc7sRRjoCja8kgeLYP/UBbJlnKKPz2s72kyYpPys3mFxi2O+NH09yc55csn8FJZzAhtbuSJX9zbzFaizfsHbGFvZM4Psz4VfIdgO72kqEW+j3H385aUy0RewSBdJoMh//TWtShvDCI6zZw/oiFQEuichyLH9Tgy1owyNkPSBNGZ+jze6m0lvarDhmUXUG0IYV94EZw8ZHFNzSBOGyuRYeUwt4AdNTM7cVyseIWK+foKbPL0oj/pxpmfLUS8lnmZ3brc8jSHOuK456k/hGZhBFWMPr3DrLeSXFgn+wMkiOqWjqHZNoPVlj4axIj82HrOCEoc5MizBxBDLEBMUl6E+z1OCtE6gfU6LNt8AReebMOGHcdxk+sY01oYQRrztQVdeCHIo18eH0RhalqhiZ37h2nQWng/N4hbfEeVNKflVJHY/VXqGKo1ZuKdLDkAmViAvQx+iEukgmFSy5dFBGhZNIqdlUfwvrsZb2ja4X2bp2c1cIcMsdRhpSQAm9hl2nECqeo0/nLjG1hqHMKLoWV4+eByxdBCqSvGsZPXJ9BDIxqujqKw241P/fkbmM1Z8D9OEaEzqjh3zFLClYCJR7Cdm/BhfILya6L9HJ1t+JwfWq5vzsWdVpmBwZTF0FQ5Nrj78FakAy8dX8JIwYjAYGQwZxWHNY9xIJRHt4qG0uz1JJ9OmdD9eBuiLTL2HVyMo6eXsipJo/9mLepaJ/Fnt+/Bwy1b0PYdMwp9FIVywsdxJoTe1xvx4Do7vtT0DqxSGsv1FINIFkYuRhZ+COOzZlAehwkcqSBjdLgMIkD9k9+SexiKj9tqlVwvk94Mt7B0Y7dOP8e75C6OLiZIYhgW3b0yVwJvzLTh0dBaaN+0w0UWT7BplX8yphj0ltbjeLTpGe4aCT+tXI8nf3INx7nZQOGO1X5nAk3WGayyDig7TUNgKaZ7vnXlLjwytgUns5zkneOUjiuNOxf9WuEdZthcWm4ewAzbzq872+CqSSIYYzlHh9FPa2AZk+E8FUGGJVzTA1lGgRSGbywjn1+Akdx+spphvoVnAFAIVGyV8EG4ARWVIQze4kXt93jmj+gR8AiZlLeIuxr3U28oUH+WxidF+duLyYb3IxSNly4Hwz+LZWjFmQG/+6GP6tdiVAfrRTUOeBuRe6sMXHuFTlXl2ahpymHHkhPYt5v5vSOO4jhzYZIaOY0D3veZN1lHp508NbOZGGt3I1SrY1hiGkJvzoYHR7Yi8HQ9DHEZPX/qhGVIha9WvspFy+OeEzvwhYX78Ye+QwRZSUXSPbCrEfaNISxjNKo2hDHC+H9k1o/xWQf2d7dAxXlAbZ8R0YSVi88UwjMiHL0cDhnLINpmo+xcRVbRBF0wiVQlscpahi6KUgKz5Pj7yQTSUktcY3h9sA1+VwjsJWHwniUkpvIY2UZn3fYoCSA2mWjsFu0lhdDJLOVkBKVuFfUJjAJCvspig1UAH/Grke/kI+8A9gtqRDo4FqWniLP60q43sWmWrLyEds6GK5ShTMsLJkyuIzbgOJXvMKVcfSEENrvI+hXQ3EaV7JwTqbABPxtfjxkesvypuiOw3nlcaRPf++RO+G8cRBVLTFFTv7DqJwqFHGUr+Z14O558dSO8107AyLQwFHNxBoDHtXk+xG0EZOMNdvxwdDP6f1PHswFI6Y+Ls3wFxZziES1WqnMoA6OMbOIa0s9mYvMFWWyrP4VhHvA4/HodmvfMEYjqlNM9f7D0aelnPevkRt003F9I0FHd+JJvJ7689jWl1BMngrpZEYmcP8zhEIH6xSXAn5W7Xlw8ME75alLpGAMugwgQW52CRNJFKHoIapV8n2hgbz6u5vk7Wkx1U9DBDTH7sRSc5jRC/USD9I3+W13IesnxO1PY6O7F1fXnlJIpKuvQm/XiaLwer+1ahbS3gK7N/Rz26FV2v0DWh5ONCi5IUQ06wohSqE2h3TGFDLfp1c5zitMIHqInXUHQlcMq1xBHv+s4uUsdH8vIRJ0VF3lsm9keQVPZLCw3ZTA6UsuSkyogHuL82qlFqPHP4rpbPsDzbUuwqqkf+ZgD3+tbLK8w9HPcTIu//oM/QazFgabPU2fIWn+co2g+ilfnOP0TY5TiGZKXdjxv1ipplHBfIBAUF4fHoGcU4EjLRz8CFFJsflA9oxvg/wSBYVHIqSxllGYF7ARXfDxOTp2gRzrHeXgORpYz/s6SkDEctEJqzuDHS55EqzaOURqzm/p/QRa9PENljTaFnZ94h9M+Xehhu3idqx8Pjm/DJz1HsYQAUs15gF1zy5XS7s+7DuBouE6ZAJrK2+HVRJSF7jKNKE7w9HMb4T6TR8pDHo5tW3NvGB3UDLbYpvHOOAdN9/I4N27+lBc8Am5cmQMM7qnCsbNl8Hq1+HCqBS3/PIr7r/o0+f8oVBSmFMg+jl+fx33VB+HXztHg5PcYAbRseYsrTdmQm+SPiPWkoggGxWPRAaSYld9RM//n5I+4HmDTVffLYwEtdNTPiRk9Oj4ylQRFZ+yw9xP4eAkIG1TUyxeRoXy7+o/6cXq4CrqzVjTs6MfGsos4mfbj59O1ODhcj/wks2KEp3Dc8gx+xtLvetcp3LjohDIYsoDTvlstZ5VFfGxuHWYJ7g6casVdV76mMIEtlimss17ELyavwNHDLTDURfHJphN47Dfr0XCQNXiNTgGnRZ2EL373KH5D4PHeIysR5Tm/qz59AeeeaVOURAPPNVHUSebRT2emstjRHYOLIJT6cpS/OayIUcScX2C7G3etfgUdnCn83eXj8TIJ2p9xhNSv+K4wcvHfqV8jmz8WGl78ufSvH+EIsOwzD8oDS+nNUa4Nd33GzfP1qookZ7jD2KkTc3yC5Ss/yRTBRSEljuBDdVBdwUMUuWZnP2jAddvP4FSiBiNxB7655GXcffBm7mINLjJ0r+T4lzigQQyJDGY8HBRJKU2k+97brqh1xAzgX125Dy8ElihHu4gZ/6+c/RjqnXP4x+ufxSxR/6OPXQsriZycmbStU8Kt1/8Gjx9ei0f2XwNdeQo5ntcvkwA6sa8N7sE8LMfHEVtRDevBQVgusvEUS/LGyPCQ5ROngAnxiHk0ganrfNjxqQNYZRpQyB6BS8zC+3m5f1vni8dp7nCr0vK9lPfF9zJsAhmpQxCXlqnhIwcCt1V/SZ7dUkvULBFI8ZwcVjviTD0xrCk0+M5uDmfMZmEkLZt2qpXumSrHXWBRg6kTTNGINAF/f+PzynTu4alaNDk4+cPQ/cMrnsTplF/RDJ5PV2EqZ8f5ZCVepzoYs1ezKaRC+7oh1FuC6DKP4sXJJfBTs/9576+52ALbc4PyBM/7nrsF9S+SGCIqj9dyfvAvpmChEknoA8QkUdNTnMjhIZBTV1gQXkDiqj6LMUrMPTa/Ivjs/h6ngck52PrLUfHGFMTR8La+pNKUcv5kCp8qO4vVhiEh91O6e16ifL1E7T/BnhgJF5fY5RbVJUMXfhv+BQ8gjC+4AZECxJ+PnAO8PvYDqc33kCwcXujuyHQqkui8iSdrRkX9r6KYw6iAN/9e1r48LFnItLd/9df4zWwTMnkKJ09V4nCsQannV3mHsffsIgK7JkXWpcpQRLnZyiHQCtxZ+5aSW/cWFnKl89BVU4VLpL/cMqQMkSyopcgj56LKyIgz6Roez57BhyEeBMH/PUv8/hTWeQbw2uNrYf55Bcs4zhH0p2Bdq8XQ9ew66jk0wsaf2kvy5xiHN+3csaSNi1eFsZjAMMzqwHB/UpnlV3ncUBHc9f5lHe5371VG1ShPhZqgzktiX0v0G5WpAyTCjxSZAnnZufNnCySj+G8CAwjHEMbncZGK8cXPRIsEpeLBR+la+DcPyRmx68m+iXl5cQc56uC4GtS8SzyCjQtN5O47wLPxK6nX48ImeJT6W1OtSpNofM5BpQ/lWyzVvvnCJxQ51323PoMDkVacfrhTydNX289xVv8wqwEfvnnyOtRXkfxhShBc2pXWbqUUFLSKmCISOfje4RvRaR/HC7so+3ozCdUXsljjGcKFqA9l141j5FwFPIdFWiI3/24Mo1vZ8RviMCffW5a3IFKVfkMQq31DeGvvMpwy2+F/g2xifRrJqka2faPo/YoBP1r1KBbpyA/w0nMHC1gncnyRhJQw/lSRrB9rTDGQGqMjVKhFZND8+24XxhfRQESCwXyWz1XhfwJREkxqe9H5vQAAAABJRU5ErkJggg==\"></img></td><td>[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ]</td><td>[-1.0645072975898173E7, 4447802.079066001, -1.040785686501476E7, 4610888.155298494]</td><td>2019-10-11T00:00:00</td><td>2019-09-05 19:59:46</td><td>2019-12-02 16:12:00</td></tr>\n",
       "<tr><td>46 Fire</td><td><img 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\"></img></td><td>[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ]</td><td>[-1.0882289086781587E7, 3736153.74641576, -1.0645072975898175E7, 3973369.8572991733]</td><td>2019-11-02T00:00:00</td><td>2019-10-31 06:22:34</td><td>2019-11-03 16:15:00</td></tr>\n",
       "<tr><td>Mud Fire </td><td><img 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\"></img></td><td>[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ]</td><td>[-1.0882289086781587E7, 3973369.857299173, -1.0645072975898175E7, 4210585.968182586]</td><td>2019-10-19T00:00:00</td><td>2019-10-18 12:17:32</td><td>2019-10-19 15:00:00</td></tr>\n",
       "<tr><td>Red Bank Fire</td><td><img 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V2ObLQcla7vlFKGZksKfOubBdtorv6/Y5AIyPvKXKNwVoxJIR7xRicfbKlDVHpGBXrCYff9CCfds2M6GoAIHekrhMIfxs/bVUBGx1jiGMw4go/vcHPiWlSPIvsmDz99EBE2wdtkY1hdSjkVHWGlqxjFlCfbdXYb0s9nyqhtHKNzgaFX/UhUMk0pkaja2LICizSqo+8ehGA8g7SYvQIcQqh3n70zwF6mh/NIw878aJPBgOQKmAwUeueVFbO66FOG4FsFBC9x71GT7Ehiaq0FZ1hiG4xZsO1iH6udD1P95OdCRC103sQUvHanksUWkkQn6jAwMYhzs7DojUBNEzMtSMDuMjzzV6A2ebweL3ymzeeCN6bFv/+SJ7QDrKu6R+p/Ww6hldyw5ju9W7cQbw3NwM+upp7tX4aPhSmwqOoLuZDZReh8CH+aisIt8fiROHp9EjiML+nET8y9FGPcHkdzrYsOHlK7dBOWYHxIJl7HFbj5HNGNUNJKEfL0PR5+YDZMyjcRXPHiwchee61uG1e5WHPKUkgTIRpQ+FizQYO76RuzunoRp7gGY8wNQhNnlW1aErJ7o+a4fu3/DS50IskcgHCDh5PBHJVVDZeOIRLUcFFGyMjGjNyuMEJ0rmVAhkVbijCcbyX0ko+wTmAqe+p3NUjflUvp3yZ8zmupHgUeiG6D7xIyfDpUjYVTAMwV4/Nx6lBYPY3x7AbTUUsoxm7tOGF/pj0CdpUXX14Cr8joQu+4s9nnrYMiyIME2rtZPDLBpGBX2IfS2V2FK0QB2vlkHVHLh53qRjmnJ89uwytUCvSKBy3Ia8NQSN8UhSsyt6kaLJwcWYxR9T1ciryeE0YVW2Js5zdM9hOiUQvSuNiE+JYwi5zgGfBYkg2Qa3XGEWm2wdHH4g83E1LwAIgkN4geoEnKnEWozcC6QDpOXhqFkgsrCN356p3Rf4TNyc0VQrL/51RWyOuYqgqN2dw6OdxUxNmuRc4iyax3r7YYCZA1wx9Ip0no1xmfZoA1KdBr28EmqKHp0eKeVc3rHOYxBwJdmyNcx/HZ8QQn9oVx8VGnBTdMP4eVtK2DpleC/PIhQUIfLahoxmjDjjfYZ+FL1Efy5dS4Vu0wTYRUaBvNk46e2uuCgDjBSaIHz0BgS2SZ0frUccXsaWcVeLM4/i1CS+j+G9B9O34Efnvgcyt7gji80wLeYWsIzZqR62VSelYD9CLkIkkmVN7TJfz8SnoCq4Ov23yFtcJ7AkUgZjvjLsNreiGe+/Su0x3PxyIHLoevRYtX6ehwfLkSiIRuaiET6lKDbRon2IYZ3cujOfUzgBHwSZdkDq51wnUzDdpjFNwGfiBCJCu5iAsBJv4/jzBdUPIklgi3HFkFplvC/H3oOP+68HIsqu7CrbxLCH7nkeY4T7iLEPXrO9iUhmZIoc46hbSAHlSf9UJDRS5pU6FvLkW6G+lQ1G0oEdYmkCrtaq6EcYolnT+JZzQq4Xuf2RgRDC1iqusfQnXYiQI2Bcx97CBs9uKLkNCr1jCCkjVc6WycWBhCt2lvdW+BScQcyaS43tRHkabA/XIWhhAUaI7FAoQI7m2tQ/fMoQiXk7MtV0I1DFlpox5n7eaUcJqj8UYQrbNTiR5mzNei5Nh/BqgSKt3P3cxBDqHJ8VP84KscQPOrEJetO4WbXPlnUadLE8fari+UQrWTVaGuV0LiXeSGb/VlGnk3L98mdvu4PS6EMnlcIC8BJm0M/BuT9mkCTwyBRtwnjkzSMEAliDA2GTGYkL08wBaWQGk0h/WQuSpMSzt4cxcyvtmGuuYudRT+K2GH8XtEwvBOJCZz08Gbp3hufh1sVwN5wNRLswFTrBlDMnvvJQJFcIul1Cdw8+SD+ev9ymU4VWjytnxbnZ18pQzNRvIXhXrBqZ7/okjtw3OoEeRIK9gQwEDPLUmy10whlSsLoLEEeGbBqw3FEuHWf7rtUpob1h0wwsNIQuVjDFoGvkvr8KT7kEKz19jvwRscMFDvGkbc/xpTDLc9oIniFwg84K0DRyOBiM4JlDN9BpYz8PTUaAkM65jAdc+0Y4ntYslIZ5KVz+OuiqMwfIfhT4fWB2Zhl74XJ0ogitY8fJJhkl76IH4Qmr3uzFc/P/gWNH0EfWZHftCyBg4t9dYGEf239HLx+I34//4940zsbL72wCpoSVm9jaQyuTsJ8SgtnYxyacXby6AhpYoJQoV42nM5LI89PIXsrO235nL5lik2SPrB/rg+esBG6hBoLi7rw3slpWDa1DW1vV8LVRSDG9m3hlzvQ0JOP5LAeSxc1YoPjFH51djn0XTpo59AwrNOTNLqSs/2CbNJ5khha4kCIgDVeGONwiI4dPpKBrBhibA9bbFQDG6IYDxkRqElwhpCCzyBLw9PsTRjtmGwdxPUlh2SOw0ECSkPBAFUDF7cDiBq/5REXHpqyQwZ8x2J2bOlbjKsr6uU8KMKh6MKtrG6Ww+Hu3ipZau1ooBqX4K70L6yzR7wEZQz9RP5CaGlv8MLWNQyLi0qd5TYSPmoqbyi7ZglmamK7tjqKec6zePX4XKgMSayzn0bu3ABea5qNnHMUYRRy166lMIM7Ut1tgH7aOBykZn/WsRp+Knx0czzweUzIe4DRoaeD3mRDoNws8/zC+PRhGNqZ0xvi8FZq+T75lH0Uk5Tpwawj9xk2bjiMaaZeROmRVhrbzd3+cbBG/reQmVmpJzMrVQhLFIlerJt/jf5LknOvHm2NKjz1/NUITY3hmukn4NCRGGF9v19ZJt+66LJtchyk7i4Hif0O5HGHjtdwkYcUGJmjIaXK0uvUOOJOE3Q+MYDJPEtUL1q/Qpcn2DtlXIG6qi40EJDZP9HjNWk2Vk9rwt4903Gv/zrkfqKCvkCBgRVJ6IZYmx/OwRDn8zX83Xl5PXinfSq0R5kWVozCpI0j+4/kbrt6Gfr/Zh7mfsvZOGxn0vDU6jG+MIauUlYYZJ4LPo7LymBDjRcby04hQmzTF7EioDfASQff0rsIHT25WFjdgXmmDlljqKczx8hKOpQXYRWwxnijJJQ36epinH7ZDEVVGvd95RXUh8nWkTsNMkYvdXUgh8k9n2DoXc90bNp6FxwNDJcqlmhcWLGrtAEJZdui7KmnEC6xyNp8MVUTcXDxFgeh/5QkkEdYX4HkJT50PD8J8TUhmEi1zrT4mPM1BIMKFOyVMEhELhQ7jhNqJMkUi9zvdATw8yXP4VC4Eof3z4B5wyA25Dfig+8tg/ZEuxxxRMs5TVJJE2Y6MAqljwqCgQwMMPwzI9lb04hbVLB2pqA/osMra5bhoetewVJzFJ2xHHzkq5Hvdb27EdP051BKnYEI/VG+7VwV05iCUehiigBrLbdI/nVT5Pk4IYpLumO4YcZhAj41inRjRPws8bKbEUizw5c04u2B6RgNcecNslfOtmmwQAlLN1U9Y9TYs9xTBeJIWnUYWETwx2gsgzZOVWf/TofxKmBoeRLrZzRg79kqrLzrAOq9BVic3Yn+mBW7OlmecSMHijUof3lEFoRIThuVOnYoVo1jc+2reKJ3PRo+JS5YP4QHKnfgnudvQ+EIGT+2jyVRcIjeAndrise5JQ1KWeE7NJdf2xPQt2gQKFKSe4jLThAs0svHv/TEndg/Vo6m+hJcvvi43MwqZ9i3qaKUk/M+GbK0/JthKUFgGLt4HEB08Zb/6lO8dKYIyXMW3LjsUwRTzKmM00WaMeZBSqPoCMIJXvfMhU5FZQzrqjSpUfVyDwLJ8/N04Ru8GApQQtVthOuEHuYOPyydBnimp6EbZXSYxhKSWnvnwkHcVbIfj+z7HBbWnkEet7jTFcSvd65mlUAuwJFG4ckUzMf7GU6I5FmL+6upI7huFHdVfIKn+9egvqcAy1eewibnQXyr/noUb6NymFyClKToRIxv/005rAlwBLxYRSwgyaPejmM0fhkrj49T0HhjpKLpjPPNkKgZ/N2JxZha0o8H1r4p53zBMJqU1BLS8DYeF2tUcMCEX5PF4MdFRAXf9YdXmdOCWDK9DZgOfByqgVUdxtZzs1Bb0Qd9iuNRTNyC+RNiiyxtDBZ+9DYVUiUrIbIhgJl5/TCqYzIofMh7DQaXEPiRyEl2MGYyD4ucr9lPjUBdBKMBE+qDxfjNii0YTlrQEsnHm13TsXrRKXy8YybK3uKABtU/kpnVgVFLYsYsVwfLXN14a2gmTrUVEUBqsHROO+564XYYySN13kBJ2TEe59YyjhRFHgn2+XVDQVnImXM8wpJUj9HZEohlkX2KAYJigNHZZrBjLPMDLpcfi9xd2D9Yho+01VjjOC0rf8RsgZEfOoZ8Hg+JFOXoUSFJv1gc4JvHvyDt9CoxGjfBEzNiJMS5+bQCEXLtQjr96tA8ZOuCOD2eh40F9ahz9uC9jsnQHs4CgTpuvucdWYffG7VjY/Yx3PnuLRRnUllblkQ0xN1rTXHSRg1rF5stRdx9bKqYd+nRf5sV9ZESvN0/DXP5N0O9Ziyo7cCeyVXoopCk+rkwogUW9KxVI3fyEJbmdJArsKKpL09e/O9d+wYef/lq5ncJngUM6+YY/CNmEk883nUszH6DDqFyK/RDbCVrOAncEoZrtweSl+ygiA6Ul2tCVkSp/BEKX8EqvlVrxTfm7cZ8Q4cc9k3UNIjQL8I+x07lnS9eXPxbx3nEiwIDXGM/Qs9W4aH2jeg9ly1z6TJJMtWDlYXteLt1GqykY4ssrKnJ7nx4tpqtUu6wGVG8SCB2PFKK3UOTMLS3ADtd02FgqLd2sttHFB63q7B6ST2Uc9K4xMqmjTKBHR6OeU1Wos2bg2GTBT+s2C6XmZolKfy2ayk7wJRj5aTRegcl4OQOLNTyfbt8Fw2hxEg8C7OLz2G27SyealyNSAGxRpBKHm0KCXan7IOsQqr08NzMcpF5XsgSkjz6TTvO3M8ub8WzPCnEz5kAqoFSVfnoukLDn/GQiMIEVkxtxXLKkKu0g3yfSWIfvjgdoFDFwyQkEkNppj0a30jjW5Ua/jx9cTjAN05/EdE4NXGDRgo2mO2I5pMmkjOsq3f2EIwx90ViXCjKql7vmYXQqAmza7ux2HEGr3jmo0BHdMxyMFoTRdGr5My50CE3F7U0wR6rgvhAhw2MuQ8cvxJJ8vWuEg/K2VO/rugYGoMFuO/R2xFYE8Sy0g523kgUtTPX53NSl3Xe2mmNKDOOcDeG4E8bMBRlRPDbYNfy2JecYZyKkwxSaGA+QTUQtR4Dy9JYOrsRB/dMwYwrmrEu+zTxi1cmcJ7oWAuwRFQyAghVsqCDy95UoX+ZDp+ffRxzs0j1qjgr+LecL+r9QrWJuIecAY0vyj8zDS8uYfwhjqZdFBHg1soD+HPXPKgrw/AczGU+FdMzYkBDi8Qoyx0nT8RUpXGkvRQ6htlbFnyK9eZTeI3S6+0t0yCxq6fIJrvG8mnlT07K4Gl711SoOizYdOknMmn05shsOK0hXDl1Pwo1HrRF87C1bxZ6zuTCxiwhrj0fTycbSPq3KIxS1xhyDNTd0+mEtKwpWogtHfMFqId3NIvlpEYWZaQ8ZP58VP3SpmMLE9D2aXDsrSmQ6EOHDtbghLeWpE+K5aOCswRK+K6ntPusG45j7F8Pe6CLJzn8mYODw6Wo0A+T3h3j66VRqWYZqjBw57O/wdhjU543dZiRIMDqQkSBXJaVF7wDzLvxKelnB4RUmwFWzbDNNmnMSbRs5e4lDlCYU7hj6ic4wxMVDqtL4DIF0R+14cHRjTJW0BuEXi+Je6d+gJ54NozcPVdbj+EW+368VTUDz+5fCffHBII0wJe+8x6q9f1y796kjMFr50hYKhf/9t1f4OWxhXg3OUUmiOqKerCRHUcx09cTcxCIsfGSIpGkTmGms489+zT6wjZ0dbhhbSae6GX4NylR8QLvgSPiI7M4PMJYbemRSAEnGNEYhSgQiRSTvGU0ixMcqvherQfYfeQlnrvS3SYLTMXuJwsi1/jiZ2L+KMrdzr+COIEf/xTDv4rloFJ+zgXtAJPv3SyNU/SQ/56KKJtNmREanKAuWEWHIPibWtqPq3JP4Jn2S5Bn9iPIlOA5a4On1MgIKsE7ZkJV8RCm2gbw2uAcLHR0YZaBQgy2hk+Fi7Hjl8vgYlMneLUfNa5h1Bk64Uln4b7Tn0dV9iiuzjmGqzYcxQeBaXhvZx1WrTyJpdZW+FJGjnbloiXolkHoT9vXY5TALu3TYvcpFxW6NJCfoI4VorM+TJ6BzSO+b1M/SSYH5/1Z4qVzY0T3OjZ5tJR8k/+3SSgpGUFPixv5+5MwHe1BeGaRzDN8+bb3ZdBnoVOK3V+q5vQw/+tLsdPEi1MMMuoXxhdAULCAKhGKeF3QDtD02N2K+Tc8JYmDklLZcURUzG80vCKuRFXBMHxxPXaMTod32ExjZ8Gd68VoiqGUI1gpg4TlCxtRkzWAMPkCozqB1lAuQZpZriZqswbxnXtekUmk3/cswmwrF5yHMpiVETw3/U8ysh5LZeFX/SvR8NdJWHzZadg0YbzvmYYq0zDmGLtwubke+yKVONjL07r7mIqSROPM8yq+P3HA09hUJTrLDKh4PYD2L5kQLObOLggjz+7HsNcMQ68euUfIOxQYqPdXYeQjHgLNBs/wbCWWUZGcqzuAd3snyxFG7Hxx6ekA4+koOP3F67yRjXR2kf8FByAML8pAHb/W8OOCdgBxi+LKbuago5tBLcaeeWkEZTljaO/PITvCTpiVByUy76+vaMKxMc7Y9bMupxr3yoXH5NHqpnA+6rK6cYX1BCwKsmrcOeeSNplKfWjfVTI6v2HaEVTqhriAcdkJ+lI27igtmln7ixwvDl6oNQ3I6p7LRIHOy0PnOM28f45qEhOrghCnerNPpzmoGSWfzx3/L0NIeSycGUnB9BTPAaD0W9HM8pUElOck6V9GBP/cKFk+MdDJlgNtOWVdO67LOQLheK99cx12rdXg6lUH5NfzEmDa6JwB8tgJYg5x6gybiTSyIH/YixAcgNj5dArhBCqWgAnigQveAVRR5tPlBFFe1rgEY/GYGsMUQuqaDOTwScawKtA1ZOHtQR6KxMEIxyQKMat3yELM7lA2vpL/MSrIFAb4y16JdTcNeyBYJZNIX5h9BF0hp9xgESXcq6wY1tvr+fxRPk+D7aMzYFLHscrWhEPBSj4jLWv8iggSm6P5mKQfQFfYheCJbLhOnVcRR3IZbTgO3j9qw8ziXjQOutHxeiV3JMMx+f3x+aSfcxVQeij0YDNLPDfsUrMRxftsrcAvQ2UyJhifqUJNXRcWZJ2Ru30i9Au2z0iHFJ8T9BgHYz4zGN+VIH7E90UqYN+AziBShAgQF7QDrMv5qtRbSu+maIZYS86tWlMcsVM8HYv7wtjDkMdqLDAphXVz6/HF7EMyE/jK8HxZiDmZ7TTRNPlx2+UYGTOjkmlDkEiPTd6KbZ45WGZtw1UEhGNpk6wiqsgmp84828LO4Ztjs2ROQahsRsgEGhiChcFH+fWDJ65EsZPSa6sRu85UI5uHMiRMlHDxI25WofbmJhijJpw4VHk+Si9lrm4ww8SpI9HnF02miIvRjDchJOWORsrBGbaTWSxlRzhnkGOCcYUHXy/aTY2DXza4ILzM3Pki8tO0cIoDpmh48W+xFsL4BpabYufLxuf3EhdyO1iMaPcuNMlECwdoYZrskXl9YfykiYiXXLyImwpbnDp9HfbsmI2GhZRtkR30e40YyBPoEWTxplN4ocQLi5/HI2cvh00fwbveGXDr/DgUKIfb7kUrd7OL8rEe9gs2Hbmax6uMw6qN4srckzgaKEW2JiSTPGK+L0nyRVQde0aq8cnveWYPW2+ijeypVWP5tcdwfKQI/SELzg5lk93j9rSTpz9shq2DpVlfhOcFEJ0P0yGSlIdF6L1MAUmbEf6K89NG/hIbtX3jeKT6Hdn4IjJx8EvO/bSpjPDFZ2H8BJ0mi3le5HtxCeP/46WjQ1xwEUCcqjm+rBj97K/Lrk47C4ZMxQnaWBunYvk/RBD9eaGJNw4oqOalcHMxy5+KIKTncpBmBw1laayc2SaXhhESSAvc3aiPFuPu4g9kXl+MY7fH3bBTMvXH4SWyeOO3LYsRi2owraifmoIQFlg68Up/HWYQyl9mJXfAlPCn2CIYKNP53V/WoejDEFzKMLUFBnkmwD1jkBSyHkNtThTu5qENZWzuTI/DeoQtX76luJn3k09P5jUyI0dWJKnpPKoIUwc7gUaOeYUKtFh45zFc4zjC8B6Wyz3xfLHb9TSmAHfi+jvCZ6g/n+sFF0E3IQYQwC9IkCj+fUE6wPvnfq5YHHlC0nsIariJRWMkyVpffdIKIxF23MYeQBHrZSJtEfhGp7Hc4kGKySIOZ1yexJXTTuLtT+vQHMjDSkczOgJOnPLky13DbQMz5QaRYAhFu3hhVjubK2fw7dbriS0YPgXPwKgijC9q+++UfCgvuGgvfxyo4WJL2NlVDfUs6gM4ACouQz2dsIfvqykX9TY30pNJ0X7Vg8TBHLg+IhlUzVFC/pwpnKWgJM/5pXQc4y5XoPIVjn4PMLI5rYjx4GfvxiDp6CamIxFxmE64A1wcMBE53ZemYll+RVH20WHoEBGSQOLrzxxDGFwAPyOFICINXJAg8JKVj0peTrwKw4tFi7lSPA6dUzdMdCISpCYzX5L9U9IByq/qQN+WcvnUrJk5AzieLMTevkqZ9Ztu6cV+XyX6vFY8Ov1NdLOPvq1pLvKqRlDuZq7nESwCbX+/6SrMy+3B5QVUjPCaYehBgcrHHa+WZ/vzSdP+tHeDrOFr2F4N6wDP6anjKR5Tz2E0bEJkAcvTJit0rZzyZUdPFTUg0J4DWx9zuu78PYgjXb1lPOR5Oqd66AyCwMpuJn+nY5TgQKjQAxTdfgaPFbzHnS8mgqkV5NOErCvGTS/QveD2h1Jxvi+REhgFFTHksywmCiI+OR/oBSn02SU4ggBDz78Dm5Dkzvj7CvkAAAAASUVORK5CYII=\"></img></td><td>[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ]</td><td>[-1.0645072975898173E7, 4447802.079066001, -1.040785686501476E7, 4610888.155298494]</td><td>2019-09-12T00:00:00</td><td>2019-09-05 13:19:56</td><td>2019-09-13 19:00:00</td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/markdown": [
       "\n",
       "_Showing only top 5 rows_.\n",
       "\n",
       "| Name | LSTD | rf_crs(LSTD) | rf_extent(LSTD) | datetime | start_date | extinguish_date |\n",
       "|---|---|---|---|---|---|---|\n",
       "| Hill Fire  | <img 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\"></img> | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[-1.0882289086781587E7, 3736153.74641576, -1.0645072975898175E7, 3973369.8572991733] | 2019-10-31T00:00:00 | 2019-10-30 11:19:00 | 2019-11-02 18:44:00 |\n",
       "| South Fire | <img 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\"></img> | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[-1.0645072975898173E7, 4447802.079066001, -1.040785686501476E7, 4610888.155298494] | 2019-10-11T00:00:00 | 2019-09-05 19:59:46 | 2019-12-02 16:12:00 |\n",
       "| 46 Fire | <img 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\"></img> | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[-1.0882289086781587E7, 3736153.74641576, -1.0645072975898175E7, 3973369.8572991733] | 2019-11-02T00:00:00 | 2019-10-31 06:22:34 | 2019-11-03 16:15:00 |\n",
       "| Mud Fire  | <img 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\"></img> | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[-1.0882289086781587E7, 3973369.857299173, -1.0645072975898175E7, 4210585.968182586] | 2019-10-19T00:00:00 | 2019-10-18 12:17:32 | 2019-10-19 15:00:00 |\n",
       "| Red Bank Fire | <img 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\"></img> | \\[+proj=sinu +lon_0=0 +x_0=0 +y_0=0 +a=6371007.181 +b=6371007.181 +units=m +no_defs ] | \\[-1.0645072975898173E7, 4447802.079066001, -1.040785686501476E7, 4610888.155298494] | 2019-09-12T00:00:00 | 2019-09-05 13:19:56 | 2019-09-13 19:00:00 |"
      ],
      "text/plain": [
       "DataFrame[Name: string, LSTD: struct<tile_context:struct<extent:struct<xmin:double,ymin:double,xmax:double,ymax:double>,crs:struct<crsProj4:string>>,tile:udt>, rf_crs(LSTD): struct<crsProj4:string>, rf_extent(LSTD): struct<xmin:double,ymin:double,xmax:double,ymax:double>, datetime: string, start_date: timestamp, extinguish_date: timestamp]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.select('Name', 'LSTD', rf_crs('LSTD'), rf_extent('LSTD'), \n",
    "          'datetime', 'start_date', 'extinguish_date')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take a look at an individual _Tile_ object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Row(tile_context=None, tile=Tile(masked_array(\n",
       "  data=[[15025, 15039, 15043, ..., 14586, 14523, 14505],\n",
       "        [15046, 15049, 15052, ..., 14538, 14515, 14509],\n",
       "        [15036, 15049, 15066, ..., --, --, --],\n",
       "        ...,\n",
       "        [15080, 15064, 15072, ..., 15257, 15286, 15216],\n",
       "        [15121, 15115, 15059, ..., 15253, 15195, 15155],\n",
       "        [15107, 15057, 15095, ..., 15189, 15145, 15145]],\n",
       "  mask=[[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ...,  True,  True,  True],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "  fill_value=0,\n",
       "  dtype=uint16), uint16))"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tile = df.select('LSTD').first()[0]\n",
    "tile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "Tile(masked_array(\n",
       "  data=[[15025, 15039, 15043, ..., 14586, 14523, 14505],\n",
       "        [15046, 15049, 15052, ..., 14538, 14515, 14509],\n",
       "        [15036, 15049, 15066, ..., --, --, --],\n",
       "        ...,\n",
       "        [15080, 15064, 15072, ..., 15257, 15286, 15216],\n",
       "        [15121, 15115, 15059, ..., 15253, 15195, 15155],\n",
       "        [15107, 15057, 15095, ..., 15189, 15145, 15145]],\n",
       "  mask=[[False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ...,  True,  True,  True],\n",
       "        ...,\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False],\n",
       "        [False, False, False, ..., False, False, False]],\n",
       "  fill_value=0,\n",
       "  dtype=uint16), uint16)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tile.tile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get the temperature in Kelvin\n",
    "\n",
    "Recall 20°C = 293.15K ~= 68°F and 40°C = 313.15K ~= 104°F\n",
    "\n",
    "We need to multiply each Tile cellwise by 0.02, according to the MOD11A1 documentation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.withColumn('LST_K',\n",
    "                   rf_local_multiply('LSTD', 0.02)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregate across satellite images per fire\n",
    "\n",
    "For each fire, get the maximum temperature from all images.\n",
    "\n",
    "Since the resulting data is small, maximum of 611 records, we use `toPandas` to bring the Spark DataFrame back to the driver and convert to pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "fire_dataset_cols = ['UniqueId', 'Name', 'Started', 'Extinguished', \n",
    "                     'Engines', 'Dozers', 'Helicopters',\n",
    "                     'Fatalities', 'Injuries', 'StructuresDestroyed', 'StructuresDamaged',]\n",
    "\n",
    "summary = df.groupby(fire_dataset_cols) \\\n",
    "            .agg(rf_agg_stats('LST_K').alias('s')) \\\n",
    "            .select(\n",
    "                'UniqueId', 'Name',\n",
    "                F.col('s').max.alias('max_temp_K'),\n",
    "                *fire_dataset_cols[2:],\n",
    "                # Other stats from satellite readings\n",
    "                F.col('s').data_cells.alias('n_pixels'),\n",
    "                F.col('s').no_data_cells.alias('nodata'),\n",
    "                F.col('s').mean.alias('mean_temp_K'),\n",
    "                F.col('s').min.alias('min_temp_K')\n",
    "        \n",
    "           ).toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>UniqueId</th>\n",
       "      <th>Name</th>\n",
       "      <th>max_temp_K</th>\n",
       "      <th>Started</th>\n",
       "      <th>Extinguished</th>\n",
       "      <th>Engines</th>\n",
       "      <th>Dozers</th>\n",
       "      <th>Helicopters</th>\n",
       "      <th>Fatalities</th>\n",
       "      <th>Injuries</th>\n",
       "      <th>StructuresDestroyed</th>\n",
       "      <th>StructuresDamaged</th>\n",
       "      <th>n_pixels</th>\n",
       "      <th>nodata</th>\n",
       "      <th>mean_temp_K</th>\n",
       "      <th>min_temp_K</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>38d46a2f-d1f6-4ed8-a502-e57e393844ea</td>\n",
       "      <td>South Fire</td>\n",
       "      <td>345.94</td>\n",
       "      <td>2019-09-05T19:59:46Z</td>\n",
       "      <td>2019-12-02T16:12:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779273</td>\n",
       "      <td>3365879</td>\n",
       "      <td>292.163108</td>\n",
       "      <td>268.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>791059a2-b50f-4ab0-924a-bfdac001e4b9</td>\n",
       "      <td>Henthorne Fire</td>\n",
       "      <td>345.94</td>\n",
       "      <td>2019-09-05T09:25:00Z</td>\n",
       "      <td>2019-09-18T12:17:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104354</td>\n",
       "      <td>526430</td>\n",
       "      <td>297.131436</td>\n",
       "      <td>281.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>b4616173-5807-4c04-a416-5374139f3fcc</td>\n",
       "      <td>66 Fire</td>\n",
       "      <td>344.90</td>\n",
       "      <td>2019-05-29T21:06:00Z</td>\n",
       "      <td>2019-06-24T11:46:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>846236</td>\n",
       "      <td>202340</td>\n",
       "      <td>320.797608</td>\n",
       "      <td>289.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>77671ac0-0868-4cc9-a699-26f0131cd493</td>\n",
       "      <td>Pauma Fire</td>\n",
       "      <td>343.74</td>\n",
       "      <td>2019-06-10T14:25:00Z</td>\n",
       "      <td>2019-06-24T11:44:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>447620</td>\n",
       "      <td>142204</td>\n",
       "      <td>321.765022</td>\n",
       "      <td>289.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>72cb3684-c194-4180-bdfe-22775f86a594</td>\n",
       "      <td>Hill Fire</td>\n",
       "      <td>343.44</td>\n",
       "      <td>2019-05-29T17:18:00Z</td>\n",
       "      <td>2019-06-05T15:07:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>260085</td>\n",
       "      <td>67595</td>\n",
       "      <td>309.332237</td>\n",
       "      <td>263.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2ce810c9-88f1-4efe-9254-8cbd339d2397</td>\n",
       "      <td>Long Valley Fire</td>\n",
       "      <td>340.40</td>\n",
       "      <td>2019-08-24T17:25:04Z</td>\n",
       "      <td>2019-08-27T09:01:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128935</td>\n",
       "      <td>2137</td>\n",
       "      <td>313.808252</td>\n",
       "      <td>292.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6311a921-f8e9-45c1-b10d-fee8be8dae29</td>\n",
       "      <td>Lincoln Fire</td>\n",
       "      <td>340.16</td>\n",
       "      <td>2019-07-12T17:15:31Z</td>\n",
       "      <td>2019-07-17T10:00:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91475</td>\n",
       "      <td>39597</td>\n",
       "      <td>325.262107</td>\n",
       "      <td>300.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>f2629bc3-1c8c-4a97-95fa-7d08566dc246</td>\n",
       "      <td>Madera Fire</td>\n",
       "      <td>339.74</td>\n",
       "      <td>2019-07-15T18:19:31Z</td>\n",
       "      <td>2019-07-16T06:49:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119615</td>\n",
       "      <td>11457</td>\n",
       "      <td>316.175896</td>\n",
       "      <td>279.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>8c46fde6-7a1c-482b-97cc-afff1bc5d27c</td>\n",
       "      <td>Border Fire</td>\n",
       "      <td>339.72</td>\n",
       "      <td>2019-07-12T13:20:39Z</td>\n",
       "      <td>2019-07-15T17:10:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25603</td>\n",
       "      <td>39933</td>\n",
       "      <td>319.275304</td>\n",
       "      <td>293.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>f68808fb-a705-4083-a136-1a45c61c7f74</td>\n",
       "      <td>Tenaja</td>\n",
       "      <td>339.72</td>\n",
       "      <td>2019-09-04T16:43:36Z</td>\n",
       "      <td>2019-09-14T19:00:00Z</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210329</td>\n",
       "      <td>51815</td>\n",
       "      <td>318.146262</td>\n",
       "      <td>295.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>cc06431a-5153-4f66-8ada-07af53c175c3</td>\n",
       "      <td>Merced Fire</td>\n",
       "      <td>338.02</td>\n",
       "      <td>2019-06-29T15:09:52Z</td>\n",
       "      <td>2019-07-02T15:51:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113227</td>\n",
       "      <td>17845</td>\n",
       "      <td>309.890113</td>\n",
       "      <td>277.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>779c4b9a-19bf-487f-ba65-6589aea27420</td>\n",
       "      <td>Weisgarber Fire</td>\n",
       "      <td>337.24</td>\n",
       "      <td>2019-06-20T14:56:00Z</td>\n",
       "      <td>2019-06-21T14:22:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18333</td>\n",
       "      <td>47203</td>\n",
       "      <td>311.898080</td>\n",
       "      <td>282.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>809d101c-8aa3-4a53-bf20-f38ae7ec7941</td>\n",
       "      <td>Kincade Fire</td>\n",
       "      <td>337.16</td>\n",
       "      <td>2019-10-23T21:27:00Z</td>\n",
       "      <td>2019-11-06T19:00:00Z</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>656163</td>\n",
       "      <td>654557</td>\n",
       "      <td>296.079552</td>\n",
       "      <td>274.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>88a285bc-0dc7-4c51-a35a-5026850b0a6d</td>\n",
       "      <td>McMillan Fire</td>\n",
       "      <td>337.00</td>\n",
       "      <td>2019-06-12T12:48:00Z</td>\n",
       "      <td>2019-06-24T10:25:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>470262</td>\n",
       "      <td>119562</td>\n",
       "      <td>317.127153</td>\n",
       "      <td>289.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>74b94fe9-3524-40ce-ac18-ee637bf66f15</td>\n",
       "      <td>Border 8 Fire</td>\n",
       "      <td>336.86</td>\n",
       "      <td>2019-08-16T06:14:55Z</td>\n",
       "      <td>2019-08-17T14:30:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26108</td>\n",
       "      <td>39428</td>\n",
       "      <td>316.130111</td>\n",
       "      <td>295.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>e094035d-ac9c-4ea9-a23b-bb55321a64d6</td>\n",
       "      <td>Border 9 Fire</td>\n",
       "      <td>336.82</td>\n",
       "      <td>2019-08-15T16:24:24Z</td>\n",
       "      <td>2019-08-16T18:44:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26210</td>\n",
       "      <td>39326</td>\n",
       "      <td>317.712168</td>\n",
       "      <td>292.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1fd11e53-a132-4b89-bc8f-f7061f685ad3</td>\n",
       "      <td>Gillis Fire</td>\n",
       "      <td>336.74</td>\n",
       "      <td>2019-07-08T16:44:08Z</td>\n",
       "      <td>2019-07-09T18:22:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63496</td>\n",
       "      <td>2040</td>\n",
       "      <td>318.417707</td>\n",
       "      <td>291.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>bc5d73ab-3100-4117-9978-a99b8e3daf5c</td>\n",
       "      <td>Mountain Fire</td>\n",
       "      <td>335.64</td>\n",
       "      <td>2019-06-21T14:42:00Z</td>\n",
       "      <td>2019-06-24T11:06:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106464</td>\n",
       "      <td>90144</td>\n",
       "      <td>312.359083</td>\n",
       "      <td>285.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>85bdd89a-4ce5-4539-a274-23fa2b030e7d</td>\n",
       "      <td>York Fire</td>\n",
       "      <td>335.64</td>\n",
       "      <td>2019-04-28T22:20:00Z</td>\n",
       "      <td>2019-06-24T11:45:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779630</td>\n",
       "      <td>465554</td>\n",
       "      <td>310.310303</td>\n",
       "      <td>278.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>8c666963-1f9d-43c6-bc3a-cab623d81f27</td>\n",
       "      <td>Jerry Fire</td>\n",
       "      <td>335.42</td>\n",
       "      <td>2019-06-21T13:02:00Z</td>\n",
       "      <td>2019-06-24T11:43:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152349</td>\n",
       "      <td>44259</td>\n",
       "      <td>316.121069</td>\n",
       "      <td>291.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>329ac0b8-a2c1-4a72-bd09-dd86c477162b</td>\n",
       "      <td>Canyon Fire</td>\n",
       "      <td>335.20</td>\n",
       "      <td>2019-05-30T16:19:00Z</td>\n",
       "      <td>2019-06-11T14:40:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>302456</td>\n",
       "      <td>156296</td>\n",
       "      <td>310.109943</td>\n",
       "      <td>279.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>e1f34f39-beea-4a6d-9ba6-64b6b55ff567</td>\n",
       "      <td>Bear Fire</td>\n",
       "      <td>335.20</td>\n",
       "      <td>2019-06-03T12:18:00Z</td>\n",
       "      <td>2019-06-11T14:48:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152313</td>\n",
       "      <td>109831</td>\n",
       "      <td>311.291675</td>\n",
       "      <td>280.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>812a492e-35cb-4bb0-9e5a-1ec181d8b97e</td>\n",
       "      <td>Spruce Fire</td>\n",
       "      <td>335.20</td>\n",
       "      <td>2019-06-01T15:49:00Z</td>\n",
       "      <td>2019-06-11T14:48:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251145</td>\n",
       "      <td>142071</td>\n",
       "      <td>310.519067</td>\n",
       "      <td>279.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>11e0324e-e8ff-4591-b592-9e704ade60d6</td>\n",
       "      <td>Citrus Fire</td>\n",
       "      <td>335.20</td>\n",
       "      <td>2019-06-02T16:12:00Z</td>\n",
       "      <td>2019-06-11T14:48:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>204576</td>\n",
       "      <td>123104</td>\n",
       "      <td>311.228417</td>\n",
       "      <td>280.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>107dd529-31b8-4b5f-ab09-4aa79c770d4b</td>\n",
       "      <td>Boulder Fire</td>\n",
       "      <td>334.82</td>\n",
       "      <td>2019-06-05T10:49:00Z</td>\n",
       "      <td>2019-06-11T14:49:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125494</td>\n",
       "      <td>5578</td>\n",
       "      <td>314.434490</td>\n",
       "      <td>289.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>20ccd7ec-de69-4967-9877-db5e143fe99a</td>\n",
       "      <td>Ardo Fire</td>\n",
       "      <td>334.66</td>\n",
       "      <td>2019-06-12T17:23:00Z</td>\n",
       "      <td>2019-06-17T08:46:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64191</td>\n",
       "      <td>66881</td>\n",
       "      <td>313.925605</td>\n",
       "      <td>281.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>0cd5a369-2f91-4786-9df1-98ece3e9e78c</td>\n",
       "      <td>Calaveras Fire</td>\n",
       "      <td>334.66</td>\n",
       "      <td>2019-06-10T15:16:00Z</td>\n",
       "      <td>2019-06-17T08:46:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64191</td>\n",
       "      <td>66881</td>\n",
       "      <td>313.925605</td>\n",
       "      <td>281.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3086ac2b-bbb3-4321-81e3-3cfdb9e571e9</td>\n",
       "      <td>Jasper Fire</td>\n",
       "      <td>334.54</td>\n",
       "      <td>2019-07-13T18:42:22Z</td>\n",
       "      <td>2019-07-16T08:50:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96480</td>\n",
       "      <td>34592</td>\n",
       "      <td>314.783872</td>\n",
       "      <td>283.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>e2d77e59-b831-4267-a50b-89ede499a885</td>\n",
       "      <td>Belmont Fire</td>\n",
       "      <td>334.36</td>\n",
       "      <td>2019-05-29T17:10:00Z</td>\n",
       "      <td>2019-06-03T08:44:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>217707</td>\n",
       "      <td>175509</td>\n",
       "      <td>312.603689</td>\n",
       "      <td>280.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>e354cde8-d0e6-4150-9f6b-1c12045e77d0</td>\n",
       "      <td>Diversion Fire</td>\n",
       "      <td>334.36</td>\n",
       "      <td>2019-05-30T12:41:00Z</td>\n",
       "      <td>2019-06-03T08:48:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167364</td>\n",
       "      <td>29244</td>\n",
       "      <td>320.917133</td>\n",
       "      <td>291.06</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>24eb323e-b97f-4087-886b-7efae8937bae</td>\n",
       "      <td>Palisades Fire</td>\n",
       "      <td>319.42</td>\n",
       "      <td>2019-10-21T11:52:52Z</td>\n",
       "      <td>2019-10-31T14:16:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187416</td>\n",
       "      <td>336872</td>\n",
       "      <td>304.960595</td>\n",
       "      <td>286.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>69b0cca6-c0c6-4a96-8f61-07ebb0ff9dc7</td>\n",
       "      <td>Kidder 2 Fire</td>\n",
       "      <td>319.14</td>\n",
       "      <td>2019-09-07T08:47:46Z</td>\n",
       "      <td>2019-09-26T08:00:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>179039</td>\n",
       "      <td>1328289</td>\n",
       "      <td>295.042923</td>\n",
       "      <td>277.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ab8109fd-e8eb-4690-9f5c-3a8c9c47ff48</td>\n",
       "      <td>Cabrillo Fire</td>\n",
       "      <td>318.92</td>\n",
       "      <td>2019-10-24T20:15:36Z</td>\n",
       "      <td>2019-10-27T12:11:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150613</td>\n",
       "      <td>45995</td>\n",
       "      <td>302.440211</td>\n",
       "      <td>280.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>87404846-bc30-41b8-82fe-31c9aedb9ef7</td>\n",
       "      <td>Mines Fire</td>\n",
       "      <td>318.92</td>\n",
       "      <td>2019-10-24T23:16:18Z</td>\n",
       "      <td>2019-10-27T13:55:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150613</td>\n",
       "      <td>45995</td>\n",
       "      <td>302.440211</td>\n",
       "      <td>280.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>0f965f2f-3977-4ba5-bf7c-29feef27ee82</td>\n",
       "      <td>Snowstorm Fire</td>\n",
       "      <td>318.86</td>\n",
       "      <td>2019-07-05T16:37:04Z</td>\n",
       "      <td>2019-07-06T07:49:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12822</td>\n",
       "      <td>18154</td>\n",
       "      <td>305.294687</td>\n",
       "      <td>284.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ac723863-413e-43f8-b4b6-2311e81e36ae</td>\n",
       "      <td>Dyer Fire</td>\n",
       "      <td>318.38</td>\n",
       "      <td>2019-06-26T22:43:07Z</td>\n",
       "      <td>2019-06-27T08:26:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26528</td>\n",
       "      <td>39008</td>\n",
       "      <td>296.683496</td>\n",
       "      <td>279.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4edb5c7c-08d6-4ae0-b8b3-7bb471e26d8e</td>\n",
       "      <td>Rock Fire</td>\n",
       "      <td>317.72</td>\n",
       "      <td>2019-06-26T08:54:24Z</td>\n",
       "      <td>2019-06-27T19:06:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4424</td>\n",
       "      <td>61112</td>\n",
       "      <td>304.544937</td>\n",
       "      <td>279.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2e4017ba-5c18-4de6-8098-54b2a6caf5bd</td>\n",
       "      <td>Del Fire</td>\n",
       "      <td>317.72</td>\n",
       "      <td>2019-10-03T13:36:04Z</td>\n",
       "      <td>2019-10-04T10:39:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54657</td>\n",
       "      <td>10879</td>\n",
       "      <td>303.292082</td>\n",
       "      <td>284.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7a0029c7-64c8-442d-8c7a-080a553e2b8e</td>\n",
       "      <td>Mines Fire</td>\n",
       "      <td>317.72</td>\n",
       "      <td>2019-06-26T18:06:54Z</td>\n",
       "      <td>2019-06-27T08:48:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4424</td>\n",
       "      <td>61112</td>\n",
       "      <td>304.544937</td>\n",
       "      <td>279.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>24997ef5-a558-4ea6-8a96-b3cdff79fe2b</td>\n",
       "      <td>Watt Fire</td>\n",
       "      <td>317.66</td>\n",
       "      <td>2019-06-07T12:59:00Z</td>\n",
       "      <td>2019-06-11T14:50:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102977</td>\n",
       "      <td>28095</td>\n",
       "      <td>301.619510</td>\n",
       "      <td>267.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>207f72f7-1453-40dc-919e-3551f7041b22</td>\n",
       "      <td>Cross Fire</td>\n",
       "      <td>317.46</td>\n",
       "      <td>2019-10-09T06:52:14Z</td>\n",
       "      <td>2019-10-11T07:30:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7196</td>\n",
       "      <td>123876</td>\n",
       "      <td>297.375673</td>\n",
       "      <td>280.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>d37acb3f-94c8-47ef-b3da-6eb0d7353aa7</td>\n",
       "      <td>Wolf Fire</td>\n",
       "      <td>317.20</td>\n",
       "      <td>2019-10-10T18:36:46Z</td>\n",
       "      <td>2019-10-12T17:22:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130501</td>\n",
       "      <td>571</td>\n",
       "      <td>304.221223</td>\n",
       "      <td>283.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>e693477a-37d2-4aba-9e73-a63421a2b3a6</td>\n",
       "      <td>Getty Fire</td>\n",
       "      <td>316.40</td>\n",
       "      <td>2019-10-28T06:46:55Z</td>\n",
       "      <td>2019-11-05T17:30:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132631</td>\n",
       "      <td>260585</td>\n",
       "      <td>301.095510</td>\n",
       "      <td>286.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>31852a71-e639-496f-9e7d-0968d1c218b3</td>\n",
       "      <td>Maria Fire</td>\n",
       "      <td>316.40</td>\n",
       "      <td>2019-10-31T20:58:28Z</td>\n",
       "      <td>2019-11-06T18:00:00Z</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86718</td>\n",
       "      <td>175426</td>\n",
       "      <td>301.564431</td>\n",
       "      <td>286.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2e71d51a-49f1-4e86-82e2-054637efd1a5</td>\n",
       "      <td>Willow Fire</td>\n",
       "      <td>316.14</td>\n",
       "      <td>2019-06-06T14:24:00Z</td>\n",
       "      <td>2019-06-11T14:47:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16805</td>\n",
       "      <td>114267</td>\n",
       "      <td>303.558639</td>\n",
       "      <td>288.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>dfc32e06-b88e-4d30-ae3d-22bc18792f5e</td>\n",
       "      <td>Hillside Fire</td>\n",
       "      <td>315.92</td>\n",
       "      <td>2019-10-31T06:53:47Z</td>\n",
       "      <td>2019-11-05T09:03:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>244442</td>\n",
       "      <td>17702</td>\n",
       "      <td>301.888283</td>\n",
       "      <td>277.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>233708cc-ed2d-4b85-ba8c-60cf71c912c8</td>\n",
       "      <td>Mill Fire</td>\n",
       "      <td>315.80</td>\n",
       "      <td>2019-07-30T13:28:17Z</td>\n",
       "      <td>2019-08-12T08:20:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2801</td>\n",
       "      <td>62735</td>\n",
       "      <td>304.651196</td>\n",
       "      <td>289.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>74c3d01f-8809-40bc-a0e2-b1cc24bf1a7d</td>\n",
       "      <td>American Fire</td>\n",
       "      <td>315.60</td>\n",
       "      <td>2019-10-06T16:36:50Z</td>\n",
       "      <td>2019-10-07T18:34:00Z</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12669</td>\n",
       "      <td>52867</td>\n",
       "      <td>305.355592</td>\n",
       "      <td>292.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8f23653c-1a4c-4609-bfb3-72b1665eab69</td>\n",
       "      <td>Hill Fire</td>\n",
       "      <td>314.66</td>\n",
       "      <td>2019-10-30T11:19:00Z</td>\n",
       "      <td>2019-11-02T18:44:00Z</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164768</td>\n",
       "      <td>31840</td>\n",
       "      <td>299.708930</td>\n",
       "      <td>277.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>e59fa47f-0f47-49a9-a2c5-092cfaf68ed5</td>\n",
       "      <td>46 Fire</td>\n",
       "      <td>314.66</td>\n",
       "      <td>2019-10-31T06:22:34Z</td>\n",
       "      <td>2019-11-03T16:15:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119732</td>\n",
       "      <td>11340</td>\n",
       "      <td>300.345320</td>\n",
       "      <td>277.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>efba4d61-2027-4b05-8506-04d9858154ca</td>\n",
       "      <td>Duzel Fire</td>\n",
       "      <td>314.42</td>\n",
       "      <td>2019-09-07T18:19:16Z</td>\n",
       "      <td>2019-09-10T19:27:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17737</td>\n",
       "      <td>244407</td>\n",
       "      <td>294.420426</td>\n",
       "      <td>280.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>baa2a51c-40bc-420c-9f88-db4783872d65</td>\n",
       "      <td>Real Fire</td>\n",
       "      <td>313.10</td>\n",
       "      <td>2019-10-17T16:31:00Z</td>\n",
       "      <td>2019-10-21T06:00:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94515</td>\n",
       "      <td>167629</td>\n",
       "      <td>302.182186</td>\n",
       "      <td>283.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>02e6023e-d306-4a67-a09c-b9224b98661e</td>\n",
       "      <td>Olivas Fire</td>\n",
       "      <td>312.72</td>\n",
       "      <td>2019-10-11T15:57:10Z</td>\n",
       "      <td>2019-10-12T18:00:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25315</td>\n",
       "      <td>40221</td>\n",
       "      <td>303.481651</td>\n",
       "      <td>292.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>72c6a0db-a014-4cd9-9788-926707ef839c</td>\n",
       "      <td>Horse Fire</td>\n",
       "      <td>312.20</td>\n",
       "      <td>2019-10-13T14:45:37Z</td>\n",
       "      <td>2019-10-16T13:44:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71549</td>\n",
       "      <td>63619</td>\n",
       "      <td>291.897190</td>\n",
       "      <td>267.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>00e6d6d5-f168-45fa-817a-f7758a5170b7</td>\n",
       "      <td>Easy Fire</td>\n",
       "      <td>310.10</td>\n",
       "      <td>2019-10-30T07:45:14Z</td>\n",
       "      <td>2019-11-02T18:57:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66008</td>\n",
       "      <td>130600</td>\n",
       "      <td>300.530794</td>\n",
       "      <td>286.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>69d98a94-4980-4dc0-b388-61c37c635f32</td>\n",
       "      <td>Ranch Fire</td>\n",
       "      <td>309.36</td>\n",
       "      <td>2019-11-03T14:16:17Z</td>\n",
       "      <td>2019-11-14T18:02:00Z</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86388</td>\n",
       "      <td>409228</td>\n",
       "      <td>291.592711</td>\n",
       "      <td>271.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>9cc1af36-29f2-4af5-afa7-23b9ce17630e</td>\n",
       "      <td>Burris Fire</td>\n",
       "      <td>307.24</td>\n",
       "      <td>2019-10-27T14:54:40Z</td>\n",
       "      <td>2019-11-03T18:52:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>221078</td>\n",
       "      <td>41066</td>\n",
       "      <td>293.406968</td>\n",
       "      <td>276.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>ff8701f0-a12a-4b40-baa9-b58c4e2e31f3</td>\n",
       "      <td>Mud Fire</td>\n",
       "      <td>307.22</td>\n",
       "      <td>2019-10-18T12:17:32Z</td>\n",
       "      <td>2019-10-19T15:00:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25361</td>\n",
       "      <td>40175</td>\n",
       "      <td>295.654698</td>\n",
       "      <td>284.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>828b2492-fc44-4fc0-97fa-f0b439e6fa0d</td>\n",
       "      <td>Rawson Fire</td>\n",
       "      <td>304.06</td>\n",
       "      <td>2019-10-27T02:47:20Z</td>\n",
       "      <td>2019-10-28T07:22:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12579</td>\n",
       "      <td>32477</td>\n",
       "      <td>289.627501</td>\n",
       "      <td>282.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6004d3e5-66f8-487a-80a4-689d3852378c</td>\n",
       "      <td>Pilot Fire</td>\n",
       "      <td>290.40</td>\n",
       "      <td>2019-01-01T14:14:00Z</td>\n",
       "      <td>2019-01-15T10:38:00Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61264</td>\n",
       "      <td>794800</td>\n",
       "      <td>282.456571</td>\n",
       "      <td>261.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                UniqueId            Name  max_temp_K  \\\n",
       "54  38d46a2f-d1f6-4ed8-a502-e57e393844ea      South Fire      345.94   \n",
       "12  791059a2-b50f-4ab0-924a-bfdac001e4b9  Henthorne Fire      345.94   \n",
       "28  b4616173-5807-4c04-a416-5374139f3fcc         66 Fire      344.90   \n",
       "37  77671ac0-0868-4cc9-a699-26f0131cd493      Pauma Fire      343.74   \n",
       "77  72cb3684-c194-4180-bdfe-22775f86a594       Hill Fire      343.44   \n",
       "..                                   ...             ...         ...   \n",
       "72  69d98a94-4980-4dc0-b388-61c37c635f32      Ranch Fire      309.36   \n",
       "96  9cc1af36-29f2-4af5-afa7-23b9ce17630e     Burris Fire      307.24   \n",
       "95  ff8701f0-a12a-4b40-baa9-b58c4e2e31f3       Mud Fire       307.22   \n",
       "3   828b2492-fc44-4fc0-97fa-f0b439e6fa0d     Rawson Fire      304.06   \n",
       "75  6004d3e5-66f8-487a-80a4-689d3852378c      Pilot Fire      290.40   \n",
       "\n",
       "                 Started          Extinguished  Engines  Dozers  Helicopters  \\\n",
       "54  2019-09-05T19:59:46Z  2019-12-02T16:12:00Z      NaN     NaN          NaN   \n",
       "12  2019-09-05T09:25:00Z  2019-09-18T12:17:00Z      NaN     NaN          NaN   \n",
       "28  2019-05-29T21:06:00Z  2019-06-24T11:46:00Z      NaN     NaN          NaN   \n",
       "37  2019-06-10T14:25:00Z  2019-06-24T11:44:00Z      NaN     NaN          NaN   \n",
       "77  2019-05-29T17:18:00Z  2019-06-05T15:07:00Z      NaN     NaN          NaN   \n",
       "..                   ...                   ...      ...     ...          ...   \n",
       "72  2019-11-03T14:16:17Z  2019-11-14T18:02:00Z      2.0     NaN          NaN   \n",
       "96  2019-10-27T14:54:40Z  2019-11-03T18:52:00Z      NaN     NaN          NaN   \n",
       "95  2019-10-18T12:17:32Z  2019-10-19T15:00:00Z      NaN     NaN          NaN   \n",
       "3   2019-10-27T02:47:20Z  2019-10-28T07:22:00Z      NaN     NaN          NaN   \n",
       "75  2019-01-01T14:14:00Z  2019-01-15T10:38:00Z      NaN     NaN          NaN   \n",
       "\n",
       "    Fatalities  Injuries  StructuresDestroyed  StructuresDamaged  n_pixels  \\\n",
       "54         NaN       NaN                  NaN                NaN    779273   \n",
       "12         NaN       NaN                  NaN                NaN    104354   \n",
       "28         NaN       NaN                  NaN                NaN    846236   \n",
       "37         NaN       NaN                  NaN                NaN    447620   \n",
       "77         NaN       NaN                  NaN                NaN    260085   \n",
       "..         ...       ...                  ...                ...       ...   \n",
       "72         NaN       4.0                  NaN                NaN     86388   \n",
       "96         NaN       NaN                  NaN                NaN    221078   \n",
       "95         NaN       NaN                  NaN                NaN     25361   \n",
       "3          NaN       NaN                  NaN                NaN     12579   \n",
       "75         NaN       NaN                  NaN                NaN     61264   \n",
       "\n",
       "     nodata  mean_temp_K  min_temp_K  \n",
       "54  3365879   292.163108      268.98  \n",
       "12   526430   297.131436      281.54  \n",
       "28   202340   320.797608      289.58  \n",
       "37   142204   321.765022      289.58  \n",
       "77    67595   309.332237      263.36  \n",
       "..      ...          ...         ...  \n",
       "72   409228   291.592711      271.74  \n",
       "96    41066   293.406968      276.20  \n",
       "95    40175   295.654698      284.24  \n",
       "3     32477   289.627501      282.08  \n",
       "75   794800   282.456571      261.22  \n",
       "\n",
       "[107 rows x 16 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary.sort_values('max_temp_K', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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