Gaza_Nighttime_Lights.ipynb

{
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   "source": [
    "# Import the libraries\n",
    "import ee \n",
    "import geemap\n",
    "import os\n",
    "import geopandas as gpd\n",
    "import osmnx as ox\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
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       "            "
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       "<p>To authorize access needed by Earth Engine, open the following\n",
       "        URL in a web browser and follow the instructions:</p>\n",
       "        <p><a href=https://code.earthengine.google.com/client-auth?scopes=https%3A//www.googleapis.com/auth/earthengine%20https%3A//www.googleapis.com/auth/cloud-platform%20https%3A//www.googleapis.com/auth/devstorage.full_control&request_id=hufSdD1Q-7Y8ztJq-C0aM3oxLKP3Z6lsKaY9G95WlLc&tc=NpxgbkWSWr426fIx_drps7CDYFnF_ECs3De8hmdDMOY&cc=06Hry_2zntT1furCVleTfZNz5P4uozVHzqGa7gwe-Jc>https://code.earthengine.google.com/client-auth?scopes=https%3A//www.googleapis.com/auth/earthengine%20https%3A//www.googleapis.com/auth/cloud-platform%20https%3A//www.googleapis.com/auth/devstorage.full_control&request_id=hufSdD1Q-7Y8ztJq-C0aM3oxLKP3Z6lsKaY9G95WlLc&tc=NpxgbkWSWr426fIx_drps7CDYFnF_ECs3De8hmdDMOY&cc=06Hry_2zntT1furCVleTfZNz5P4uozVHzqGa7gwe-Jc</a></p>\n",
       "        <p>The authorization workflow will generate a code, which you should paste in the box below.</p>\n",
       "        "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Successfully saved authorization token.\n"
     ]
    }
   ],
   "source": [
    "# Trigger the authentication flow\n",
    "ee.Authenticate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
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       "            "
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   "source": [
    "# Initialize the library\n",
    "ee.Initialize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
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       "<IPython.core.display.HTML object>"
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     },
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   ],
   "source": [
    "# initializes the Google Earth Engine API\n",
    "geemap.ee_initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nighttime Lights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the boundary of gaza\n",
    "adm1 = ee.FeatureCollection(\"FAO/GAUL/2015/level1\")\n",
    "gaza = adm1.filter(ee.Filter.eq(\"ADM0_NAME\", \"Gaza Strip\"))\n",
    "roi = gaza.geometry()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
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       "<IPython.core.display.HTML object>"
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      "text/plain": [
       "Map(center=[31.41792, 34.37081], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=Search…"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the boundary\n",
    "Map1= geemap.Map(center=(31.41792, 34.37081), zoom=10)\n",
    "Map1.addLayer(roi)\n",
    "Map1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The numbers of nighttime light is: 7\n"
     ]
    }
   ],
   "source": [
    "# Load the monthly nighttime data (VIIRS)\n",
    "\n",
    "viirs = ee.ImageCollection(\"NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG\").filterDate(\"2023-07-01\", \"2024-06-06\").select(\"avg_rad\")\n",
    "print(\"The numbers of nighttime light is:\", viirs.size().getInfo())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The numbers of nighttime light before: 3\n",
      "The numbers of nighttime light after: 3\n"
     ]
    }
   ],
   "source": [
    "# Filter the nighttime lights between October 2022 and April 2023\n",
    "nighttime_collection_pre = viirs.filterDate(\"2023-07-01\", \"2023-09-30\")\n",
    "nighttime_image_pre = nighttime_collection_pre.max().clip(roi)\n",
    "\n",
    "\n",
    "# Filter the nighttime lights between October 2023 and April 2024\n",
    "nighttime_collection_post = viirs.filterDate(\"2023-10-07\", \"2024-06-06\")\n",
    "nighttime_image_post = nighttime_collection_post.max().clip(roi)\n",
    "\n",
    "print(\"The numbers of nighttime light before:\", nighttime_collection_pre.size().getInfo())\n",
    "print(\"The numbers of nighttime light after:\", nighttime_collection_post.size().getInfo())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sentinel-2 Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load Sentinel-2 image collection\n",
    "s2 = (ee.ImageCollection(\"COPERNICUS/S2_SR_HARMONIZED\")\n",
    "                    .filterDate(\"2023-07-01\", \"2024-06-06\")\n",
    "                    .filterMetadata(\"CLOUDY_PIXEL_PERCENTAGE\", \"less_than\", 30)\n",
    "                    .filterBounds(roi))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter the s2 collection between July - September 2023 \n",
    "s2_collection_pre = s2.filterDate(\"2023-07-01\", \"2023-09-30\").select([\"B.*\"])\n",
    "\n",
    "\n",
    "# Filter the s2 collection between October 07 2023 - June 06 2024\n",
    "s2_collection_post = s2.filterDate(\"2023-10-07\", \"2024-06-06\").select([\"B.*\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create mosaics for the pre and post collections\n",
    "s2_mosaic_pre = s2_collection_pre.mosaic().clip(roi)\n",
    "\n",
    "s2_mosaic_post = s2_collection_post.mosaic().clip(roi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compute  Normalized Difference Built-up Index (NDBI)\n",
    "ndbi_pre = s2_mosaic_pre.normalizedDifference([\"B11\", \"B8\"]).rename(\"NDBI\")\n",
    "ndbi_post = s2_mosaic_post.normalizedDifference([\"B11\", \"B8\"]).rename(\"NDBI\")\n",
    "\n",
    "ndbi_pre = ndbi_pre.select(\"NDBI\")\n",
    "ndbi_post = ndbi_post.select(\"NDBI\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building Footprints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>geometry</th>\n",
       "      <th>ADM0_CODE</th>\n",
       "      <th>ADM0_NAME</th>\n",
       "      <th>ADM1_CODE</th>\n",
       "      <th>ADM1_NAME</th>\n",
       "      <th>DISP_AREA</th>\n",
       "      <th>EXP1_YEAR</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>STR1_YEAR</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>Shape_Leng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POLYGON ((34.31211 31.40379, 34.31299 31.40317...</td>\n",
       "      <td>91</td>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>1291</td>\n",
       "      <td>Deir al Balah</td>\n",
       "      <td>NO</td>\n",
       "      <td>3000</td>\n",
       "      <td>Occupied Palestinan Territory</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.005387</td>\n",
       "      <td>0.339650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POLYGON ((34.37770 31.46675, 34.37866 31.46578...</td>\n",
       "      <td>91</td>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>1292</td>\n",
       "      <td>Gaza</td>\n",
       "      <td>NO</td>\n",
       "      <td>3000</td>\n",
       "      <td>Occupied Palestinan Territory</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.007043</td>\n",
       "      <td>0.430250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POLYGON ((34.45635 31.55177, 34.45666 31.54884...</td>\n",
       "      <td>91</td>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>1293</td>\n",
       "      <td>Jabalya</td>\n",
       "      <td>NO</td>\n",
       "      <td>3000</td>\n",
       "      <td>Occupied Palestinan Territory</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.005757</td>\n",
       "      <td>0.327872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POLYGON ((34.24102 31.33973, 34.24148 31.33883...</td>\n",
       "      <td>91</td>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>1294</td>\n",
       "      <td>Khan Yunis</td>\n",
       "      <td>NO</td>\n",
       "      <td>3000</td>\n",
       "      <td>Occupied Palestinan Territory</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.010131</td>\n",
       "      <td>0.449412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POLYGON ((34.21980 31.32169, 34.23301 31.30140...</td>\n",
       "      <td>91</td>\n",
       "      <td>Gaza Strip</td>\n",
       "      <td>1295</td>\n",
       "      <td>Rafah</td>\n",
       "      <td>NO</td>\n",
       "      <td>3000</td>\n",
       "      <td>Occupied Palestinan Territory</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.006056</td>\n",
       "      <td>0.344584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            geometry  ADM0_CODE   ADM0_NAME  \\\n",
       "0  POLYGON ((34.31211 31.40379, 34.31299 31.40317...         91  Gaza Strip   \n",
       "1  POLYGON ((34.37770 31.46675, 34.37866 31.46578...         91  Gaza Strip   \n",
       "2  POLYGON ((34.45635 31.55177, 34.45666 31.54884...         91  Gaza Strip   \n",
       "3  POLYGON ((34.24102 31.33973, 34.24148 31.33883...         91  Gaza Strip   \n",
       "4  POLYGON ((34.21980 31.32169, 34.23301 31.30140...         91  Gaza Strip   \n",
       "\n",
       "   ADM1_CODE      ADM1_NAME DISP_AREA  EXP1_YEAR  \\\n",
       "0       1291  Deir al Balah        NO       3000   \n",
       "1       1292           Gaza        NO       3000   \n",
       "2       1293        Jabalya        NO       3000   \n",
       "3       1294     Khan Yunis        NO       3000   \n",
       "4       1295          Rafah        NO       3000   \n",
       "\n",
       "                          STATUS  STR1_YEAR  Shape_Area  Shape_Leng  \n",
       "0  Occupied Palestinan Territory       1000    0.005387    0.339650  \n",
       "1  Occupied Palestinan Territory       1000    0.007043    0.430250  \n",
       "2  Occupied Palestinan Territory       1000    0.005757    0.327872  \n",
       "3  Occupied Palestinan Territory       1000    0.010131    0.449412  \n",
       "4  Occupied Palestinan Territory       1000    0.006056    0.344584  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the gaza boundary to a GeoDataFrame\n",
    "gaza_gdf= geemap.ee_to_gdf(gaza)\n",
    "\n",
    "gaza_gdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert gaza GeoDataFrame to a Polygon\n",
    "if gaza_gdf.geometry.count() > 1:\n",
    "        gaza_poly = gaza_gdf.unary_union\n",
    "else:\n",
    "        gaza_poly = gaza_gdf.geometry.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load building footprints from OSM\n",
    "tag = {\"building\": True}\n",
    "\n",
    "bdg = ox.features_from_polygon(gaza_poly, tags=tag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
      "MultiIndex: 280005 entries, ('node', 503993244) to ('relation', 17655836)\n",
      "Columns: 135 entries, building to website:menu\n",
      "dtypes: geometry(1), object(134)\n",
      "memory usage: 299.9+ MB\n"
     ]
    }
   ],
   "source": [
    "# Inspect the building footprints GeoDataFrame\n",
    "bdg.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Index(['building', 'name', 'name:ar', 'geometry', 'man_made', 'name:pt',\n",
       "       'fixme', 'shop', 'name:en', 'source',\n",
       "       ...\n",
       "       'building:flats', 'tower:construction', 'tower:type', 'place',\n",
       "       'substance', 'greenhouse', 'ways', 'type', 'emergency', 'website:menu'],\n",
       "      dtype='object', length=135)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the columns in  building footprints GeoDataFrame\n",
    "bdg.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
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       "\n",
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       "\n",
       "                .geemap-colab .jupyter-button {\n",
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       "            "
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
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    {
     "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></th>\n",
       "      <th>building</th>\n",
       "      <th>name</th>\n",
       "      <th>name:ar</th>\n",
       "      <th>geometry</th>\n",
       "      <th>man_made</th>\n",
       "      <th>name:pt</th>\n",
       "      <th>fixme</th>\n",
       "      <th>shop</th>\n",
       "      <th>name:en</th>\n",
       "      <th>source</th>\n",
       "      <th>...</th>\n",
       "      <th>building:flats</th>\n",
       "      <th>tower:construction</th>\n",
       "      <th>tower:type</th>\n",
       "      <th>place</th>\n",
       "      <th>substance</th>\n",
       "      <th>greenhouse</th>\n",
       "      <th>ways</th>\n",
       "      <th>type</th>\n",
       "      <th>emergency</th>\n",
       "      <th>website:menu</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>element_type</th>\n",
       "      <th>osmid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">node</th>\n",
       "      <th>503993244</th>\n",
       "      <td>public</td>\n",
       "      <td>Appex Pharma for Medicine</td>\n",
       "      <td>أبيكس فارما للأدوية</td>\n",
       "      <td>POINT (34.46417 31.54045)</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>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503993843</th>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (34.46877 31.55191)</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>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 135 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       building                       name  \\\n",
       "element_type osmid                                           \n",
       "node         503993244   public  Appex Pharma for Medicine   \n",
       "             503993843      yes                        NaN   \n",
       "\n",
       "                                    name:ar                   geometry  \\\n",
       "element_type osmid                                                       \n",
       "node         503993244  أبيكس فارما للأدوية  POINT (34.46417 31.54045)   \n",
       "             503993843                  NaN  POINT (34.46877 31.55191)   \n",
       "\n",
       "                       man_made name:pt fixme shop name:en source  ...  \\\n",
       "element_type osmid                                                 ...   \n",
       "node         503993244      NaN     NaN   NaN  NaN     NaN    NaN  ...   \n",
       "             503993843      NaN     NaN   NaN  NaN     NaN    NaN  ...   \n",
       "\n",
       "                       building:flats tower:construction tower:type place  \\\n",
       "element_type osmid                                                          \n",
       "node         503993244            NaN                NaN        NaN   NaN   \n",
       "             503993843            NaN                NaN        NaN   NaN   \n",
       "\n",
       "                       substance greenhouse ways type emergency website:menu  \n",
       "element_type osmid                                                            \n",
       "node         503993244       NaN        NaN  NaN  NaN       NaN          NaN  \n",
       "             503993843       NaN        NaN  NaN  NaN       NaN          NaN  \n",
       "\n",
       "[2 rows x 135 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bdg.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "                    --jp-ui-font-color1: white;\n",
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       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
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       "\n",
       "                .geemap-colab {\n",
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       "\n",
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       "      <th></th>\n",
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       "      <th>osmid</th>\n",
       "      <th>building</th>\n",
       "      <th>name</th>\n",
       "      <th>name:ar</th>\n",
       "      <th>geometry</th>\n",
       "      <th>man_made</th>\n",
       "      <th>name:pt</th>\n",
       "      <th>fixme</th>\n",
       "      <th>shop</th>\n",
       "      <th>...</th>\n",
       "      <th>building:flats</th>\n",
       "      <th>tower:construction</th>\n",
       "      <th>tower:type</th>\n",
       "      <th>place</th>\n",
       "      <th>substance</th>\n",
       "      <th>greenhouse</th>\n",
       "      <th>ways</th>\n",
       "      <th>type</th>\n",
       "      <th>emergency</th>\n",
       "      <th>website:menu</th>\n",
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       "      <th>0</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>node</td>\n",
       "      <td>503993843</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (34.46877 31.55191)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  element_type      osmid building                       name  \\\n",
       "0         node  503993244   public  Appex Pharma for Medicine   \n",
       "1         node  503993843      yes                        NaN   \n",
       "\n",
       "               name:ar                   geometry man_made name:pt fixme shop  \\\n",
       "0  أبيكس فارما للأدوية  POINT (34.46417 31.54045)      NaN     NaN   NaN  NaN   \n",
       "1                  NaN  POINT (34.46877 31.55191)      NaN     NaN   NaN  NaN   \n",
       "\n",
       "   ... building:flats tower:construction tower:type place substance  \\\n",
       "0  ...            NaN                NaN        NaN   NaN       NaN   \n",
       "1  ...            NaN                NaN        NaN   NaN       NaN   \n",
       "\n",
       "  greenhouse ways type emergency website:menu  \n",
       "0        NaN  NaN  NaN       NaN          NaN  \n",
       "1        NaN  NaN  NaN       NaN          NaN  \n",
       "\n",
       "[2 rows x 137 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reset the index\n",
    "bdg = bdg.reset_index()\n",
    "bdg.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'ee.featurecollection.FeatureCollection'>\n"
     ]
    }
   ],
   "source": [
    "# Convert the building footprints to GEE feature collection\n",
    "bdg_filter = bdg[[\"osmid\", \"building\",\"name\", \"name:ar\", \"geometry\"]]\n",
    "\n",
    "bdg_ee = geemap.gdf_to_ee(bdg_filter)\n",
    "\n",
    "print(type(bdg_ee))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the building footprints alone \n",
    "# THIS WILL TAKE A LOT OF TIME TO DISPLAY\n",
    "#bdg.explore()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define the visualiztion parameters for the nighttime lights, sentinel-2 images, and building footprints\n",
    "vis_params = [\n",
    "    {\"min\": 0.0, \"max\": 20.0, \"palette\":[\"#000000\", \"#f7f6bb\", \"#ffba08\"]},\n",
    "    {\"min\": 0.0, \"max\" : 20.0, \"palette\":[\"#000000\", \"#f7f6bb\", \"#ffba08\"]},\n",
    "    {\"min\": 0, \"max\": 3000, \"bands\": [\"B4\", \"B3\", \"B2\"], \"gamma\": 0.95, },\n",
    "    {\"min\": 0, \"max\": 3000, \"bands\": [\"B4\", \"B3\", \"B2\"], \"gamma\": 0.95},\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define the labels for the maps\n",
    "labels = [\n",
    "    \"Nighttime Lights July - September 2023\",\n",
    "    \"Nighttime Lights October 2023 - June 2024\",\n",
    "    \"Sentinel-2 July - September 2023\",\n",
    "    \"Sentinel-2 October 2023 - June 2024\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f0dab0818f154832ba7d1435655c4b1b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "GridspecLayout(children=(Output(layout=Layout(grid_area='widget001')), Output(layout=Layout(grid_area='widget0…"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display the nighttime lights and sentinel-2 images before and after the event\n",
    "geemap.linked_maps(\n",
    "    rows=2,\n",
    "    cols=2,\n",
    "    height=\"450px\",\n",
    "    center=[31.41792, 34.37081],\n",
    "    zoom=10,\n",
    "    ee_objects=[nighttime_image_pre, nighttime_image_post, s2_mosaic_pre, s2_mosaic_post],\n",
    "    vis_params=vis_params,\n",
    "    labels=labels,\n",
    "    label_position=\"topright\",\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geolukmon",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
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