Atoll_vegetation_health.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/UoA-eResearch/atoll-vegetation-health/blob/main/Atoll_vegetation_health.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YV9PwKg8HNuf"
      },
      "source": [
        "# Atoll Vegetation Health\n",
        "- script to return repository of vegetation health for Atolls at the Island scale."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oTEcAwjsHexf"
      },
      "source": [
        "## Step-0 install and import modules\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "4xzH6F-sHJsv",
        "outputId": "fc8da531-a41b-4a42-b6b3-05de0900330d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://test.pypi.org/simple/\n",
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          ]
        }
      ],
      "source": [
        "!pip install -i https://test.pypi.org/simple/ geeutil # install geeutil functions from test.pypi\n",
        "from geeutil import featureutils\n",
        "from geeutil import imageutils\n",
        "from geeutil import ndutils\n",
        "from geeutil import imagecollectionutils\n",
        "from geeutil import hlsutils\n",
        "\n",
        "import geopandas as gpd\n",
        "import pandas as pd\n",
        "import time\n",
        "\n",
        "import tqdm\n",
        "from tqdm.contrib.concurrent import process_map\n",
        "from functools import partial\n",
        "import glob\n",
        "import os\n",
        "from datetime import datetime as dt\n",
        "from google.colab import userdata\n",
        "\n",
        "import ee # import earthengine api and init\n",
        "try:\n",
        "    ee.Initialize()\n",
        "except:\n",
        "    ee.Authenticate()\n",
        "    ee.Initialize(project=userdata.get('ee_project')) # need to specify ee project"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y0VQAcwSISpe"
      },
      "source": [
        "## Step-1 Functions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "pX4Gsy-rHlmG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "73b5ffbb-3f6d-481e-83c3-6846e5046d20"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "def return_image_stats(geometry, image_band):\n",
        "    \"\"\"\n",
        "    Calculate mean and median ndvi for region defined by geometry for all images in ee.ImageCollection with map fuction.\n",
        "\n",
        "    Args:\n",
        "    geometry - ee.Geometry object representing area\n",
        "    image_band - The band name to calculate index from\n",
        "    \"\"\"\n",
        "\n",
        "    # Define reducers for mean and median\n",
        "    mean_reducer = ee.Reducer.mean()\n",
        "    median_reducer = ee.Reducer.median()\n",
        "\n",
        "    # Combine reducers\n",
        "    combined_reducer = mean_reducer.combine(median_reducer, sharedInputs=True)\n",
        "\n",
        "    def get_stats(image):\n",
        "        indices = image.select([image_band])\n",
        "        stats = indices.reduceRegion(**{\n",
        "            'geometry': geometry,\n",
        "            'reducer': combined_reducer,\n",
        "            # 'scale': 30,\n",
        "            # 'maxPixels': 1e13,\n",
        "        })\n",
        "\n",
        "        # Extract mean and median values\n",
        "        mean_ndvi = stats.get(f\"{image_band}_mean\")\n",
        "        median_ndvi = stats.get(f\"{image_band}_median\")\n",
        "\n",
        "        # Create a feature with mean and median properties\n",
        "        feature = ee.Feature(None, {\n",
        "            f\"{image_band}_mean\": mean_ndvi,\n",
        "            f\"{image_band}_median\": median_ndvi\n",
        "        }).copyProperties(image, ['system:time_start', 'region_cloudy_percent', 'area', 'region_pixel_count'])\n",
        "        return feature\n",
        "\n",
        "    return get_stats\n",
        "\n",
        "def return_area(geometry):\n",
        "  \"\"\"\n",
        "  function to return the count of pixels in an image within a geometry\n",
        "  image - ee.Image object\n",
        "  \"\"\"\n",
        "  def calc_area(image):\n",
        "      area = ee.Image.pixelArea().reduceRegion(\n",
        "      reducer=ee.Reducer.sum(),\n",
        "      geometry=geometry,\n",
        "      maxPixels=1e10,\n",
        "      scale=30)\n",
        "      return image.set('area', area.get('area'))\n",
        "  return(calc_area)\n",
        "\n",
        "\n",
        "def return_area_per_pixel(geometry):\n",
        "  \"\"\"\n",
        "  function to return the count of pixels within an area of interest and calculate the area per pixel\n",
        "  Args\n",
        "  image - ee.Image object\n",
        "  geometry - ee.FeatureCollection object representing the area of interest\n",
        "  \"\"\"\n",
        "  def calc_area_per_pixel(image):\n",
        "      count = image.reduceRegion(\n",
        "      reducer=ee.Reducer.count(),\n",
        "      geometry=geometry,\n",
        "      maxPixels=1e10,\n",
        "      scale=30)\n",
        "      return image.set('area_per_pixel', ee.Number(image.get('area')).divide(count.get(image.bandNames().get(0))))\n",
        "  return(calc_area_per_pixel)\n",
        "\n",
        "\n",
        "def calc_cloud_pixel_count(geometry):\n",
        "\n",
        "    def map_pixel_count(image):\n",
        "      cloud = image.updateMask(image.select('clouds'))\n",
        "      # return pixel count for area\n",
        "      pixel_count = cloud.reduceRegion(\n",
        "            reducer=ee.Reducer.count(),\n",
        "            geometry=geometry,\n",
        "            maxPixels=1e10)\n",
        "      return image.set('mask_pixel_count', pixel_count.get(image.bandNames().get(0))) # select first band in the image.\n",
        "    return(map_pixel_count)\n",
        "\n",
        "\n",
        "def calc_pixel_count(geometry):\n",
        "\n",
        "    def map_pixel_count(image):\n",
        "      # return pixel count for area\n",
        "      pixel_count = image.reduceRegion(\n",
        "            reducer=ee.Reducer.count(),\n",
        "            geometry=geometry,\n",
        "            maxPixels=1e10)\n",
        "      return image.set('region_pixel_count', pixel_count.get(image.bandNames().get(0))) # select one the bands in image\n",
        "    return(map_pixel_count)\n",
        "\n",
        "\n",
        "def process_images(feature, sensors, start_date, end_date, folder_path): # process all images in imageCollection\n",
        "    \"\"\"\n",
        "    return mean ndvi for all images an a series of imageCollections,\n",
        "    returning csv of ndvi timeseries\n",
        "\n",
        "    Args\n",
        "    feature - geometry of area for which ndvi is being calculated\n",
        "    sensor - list of sensor IDs\n",
        "    folder_path - output directory path\n",
        "    \"\"\"\n",
        "    fn = f\"{folder_path}/{feature['properties']['Id']}-timeseries.csv\" # define path for timeseries\n",
        "    aoi = featureutils.item_to_featureCollection(feature) # return cell as ee.featureCollection\n",
        "    timeseries = []\n",
        "    if os.path.exists(fn): # check if file exists and return last date if so\n",
        "      existing_df = pd.read_csv(fn)\n",
        "      last_date = pd.to_datetime(existing_df['date']).max()\n",
        "      start_date = last_date.strftime('%Y-%m-%d') # Assuming 'date' is in datetime format\n",
        "\n",
        "    for i in sensors:\n",
        "      collection = imagecollectionutils.gen_imageCollection(start_date, end_date, aoi, i)\n",
        "      images = (collection.map(imageutils.clip_images_to_region(aoi)) # preprocess image collection\n",
        "                          .map(calc_pixel_count(aoi))\n",
        "                          .filter(ee.Filter.gt('region_pixel_count', 0))\n",
        "                          .map(calc_cloud_pixel_count(aoi))\n",
        "                          .map(imageutils.add_cell_level_cloud_cover_property)\n",
        "                          .map(return_area(aoi)))\n",
        "      if images.size().getInfo() != 0:\n",
        "        print(f\"number of images: {images.size().getInfo()}\")\n",
        "        images = (images.map(ndutils.apply_ndvi)) # calc ndvi\n",
        "        veg_stats = images.map(return_image_stats(aoi, image_band='ndvi')) # return stats\n",
        "        features = [i for i in veg_stats.getInfo().get('features')]\n",
        "        for f in features:\n",
        "          try:\n",
        "            image_attributes = {}\n",
        "            date = dt.fromtimestamp(f['properties']['system:time_start'] / 1000.)\n",
        "\n",
        "            image_attributes['date'] = date # return attributes for each image\n",
        "            image_attributes['sensor'] = i\n",
        "            image_attributes['image_id'] = f['id']\n",
        "            image_attributes['ndvi_mean'] = f['properties']['ndvi_mean']\n",
        "            image_attributes['ndvi_median'] = f['properties']['ndvi_median']\n",
        "            image_attributes['region_cloudy_percent'] = f['properties']['region_cloudy_percent']\n",
        "            image_attributes['valid_pixel_count'] = f['properties']['region_pixel_count']\n",
        "            image_attributes['area'] = f['properties']['area']\n",
        "\n",
        "            timeseries.append(image_attributes)\n",
        "          except:\n",
        "              print(f\"Issue with image id: {f['id']}\")\n",
        "\n",
        "\n",
        "    df = pd.DataFrame.from_dict(timeseries, orient='columns')\n",
        "    df['ndvi_mean'] = df['ndvi_mean'].round(decimals=3)\n",
        "    df['ndvi_median'] = df['ndvi_median'].round(decimals=3)\n",
        "    df['area'] = df['area'].astype(int)\n",
        "    df['region_cloudy_percent'] = df['region_cloudy_percent'].round(decimals=2)\n",
        "    df['area_per_pixel'] = df['area']/df['valid_pixel_count'] # calc area per pixel\n",
        "    df['area_per_pixel'] = df['area_per_pixel'].astype(int)\n",
        "\n",
        "    if os.path.exists(fn):\n",
        "      df = pd.concat([existing_df, df], ignore_index=True) # concat existing dataframe and orginal is\n",
        "      df = df.loc[:, ~df.columns.str.contains(\"^Unnamed\")] # remove index columns\n",
        "\n",
        "    df.to_csv(fn)\n",
        "\n",
        "def preprocess_shapefile(shapefile, buffer_val, island_area):\n",
        "  \"\"\"\n",
        "  function to preprocess atoll shapefile\n",
        "  Args\n",
        "  shapefile - polygon representing atoll\n",
        "  buffer_val - distance to buffer polygons negative values to remove edge pixels\n",
        "  island_area - area of islands to include in analysis (metres squared)\n",
        "  \"\"\"\n",
        "  gdf = gpd.read_file(shapefile) # input shapefile\n",
        "  gdf[\"buffer_geometry\"] = gdf.buffer(buffer_val) # buffer polygons\n",
        "  gdf.set_geometry(\"buffer_geometry\", inplace=True)\n",
        "  gdf[\"buffer_area\"] = gdf.area\n",
        "  gdf = gdf[gdf['buffer_area'] >= island_area]\n",
        "  gdf.to_crs(4326, inplace=True)\n",
        "  return gdf\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Step 1 - mount google drive\n",
        "- mount google drive and define repositories\n",
        "- Root = `/content/drive/MyDrive`\n",
        "\n"
      ],
      "metadata": {
        "id": "tAfhDHiU4Yp9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/drive') # mount drive\n",
        "\n",
        "root = \"/content/drive/MyDrive\" # define root\n",
        "\n",
        "input_directory_path = f\"{root}/Lae\" # define path to input shapefiles\n",
        "\n",
        "output_directory_path = f\"{root}/atoll-vegetation-health\" # define output directory\n",
        "if not os.path.exists(output_directory_path):\n",
        "  os.mkdir(output_directory_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "NIFA7KDF5q7W",
        "outputId": "59c2a6d7-c0aa-43e4-9721-7d784797db7b"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Step 2 - Processing\n",
        "This step will return NDVI timeseries for each island in Atoll where the island is > 1 ha from the harmonised Landsat/Sentinel-2 image collections in GEE, applying following steps:\n",
        "  1. Returning a geopandas dataframe of islands within the Atoll > 1 ha with a negative buffer 30m applied to each geometry to remove potential mixed pixels.\n",
        "  2. Defining a directory which is named after the Atoll.\n",
        "  3. Returning the timeseries for each island, stored as a .csv file as `{island-Id}-timseries.csv`\n",
        "  4. Return a Geojson of the islands in the same directory.\n",
        "\n",
        "### Updating the record\n",
        "The function `process_images()` will check to see if a timeseries already exists for each Atoll/Island if the repository already exists. If so, `start_date` will be defined as the most recent image in the timeseries."
      ],
      "metadata": {
        "id": "16uMwuwPIMlL"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "Yw0IRGHS3NW6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 746
        },
        "outputId": "cac38e82-b5b7-4cf2-d3f1-b41aff58a7b0"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
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              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r0it [00:00, ?it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "number of images: 1\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r1it [00:01,  1.47s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "number of images: 1\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r2it [00:03,  1.75s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "number of images: 1\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r3it [00:04,  1.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "number of images: 258\n",
            "number of images: 164\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r4it [00:17,  5.90s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Issue with image id: T58PFQ_20240102T233251\n",
            "number of images: 259\n",
            "number of images: 164\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r5it [00:34, 10.18s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "number of images: 256\n",
            "number of images: 164\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r6it [00:53, 12.97s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Issue with image id: T58PFQ_20180212T233251\n",
            "Issue with image id: T58PFQ_20231213T233251\n",
            "Issue with image id: T58PFQ_20240630T233301\n",
            "Issue with image id: T58PFQ_20240814T233259\n",
            "Issue with image id: T58PFQ_20240903T233259\n",
            "number of images: 258\n",
            "number of images: 162\n"
          ]
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r7it [01:12, 14.84s/it]"
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        {
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          "name": "stdout",
          "text": [
            "Issue with image id: T58PFQ_20200303T233251\n",
            "Issue with image id: T58PFQ_20231024T233251\n",
            "Issue with image id: T58PFQ_20240206T233259\n",
            "Issue with image id: T58PFQ_20240710T233301\n",
            "Issue with image id: T58PFQ_20240829T233251\n",
            "number of images: 258\n",
            "number of images: 164\n"
          ]
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r8it [01:26, 14.79s/it]"
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Issue with image id: T58PFQ_20170118T233251\n",
            "Issue with image id: T58PFQ_20180423T233301\n",
            "Issue with image id: T58PFQ_20230904T233301\n",
            "Issue with image id: T58PFQ_20231004T233301\n",
            "Issue with image id: T58PFQ_20231024T233251\n",
            "Issue with image id: T58PFQ_20240322T233301\n",
            "Issue with image id: T58PFQ_20240710T233301\n",
            "Issue with image id: T58PFQ_20240829T233251\n",
            "Issue with image id: T58PFQ_20240918T233251\n",
            "Issue with image id: T58PFQ_20240923T233249\n",
            "number of images: 259\n",
            "number of images: 164\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r9it [01:44, 15.60s/it]"
          ]
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Issue with image id: T58PFQ_20190627T233301\n",
            "Issue with image id: T58PFQ_20231213T233251\n",
            "Issue with image id: T58PFQ_20240923T233249\n",
            "number of images: 516\n",
            "number of images: 312\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "10it [02:16, 13.64s/it]\n"
          ]
        }
      ],
      "source": [
        "atoll_gdf = preprocess_shapefile(f\"{input_directory_path}/Lae_poly.shp\", buffer_val=-30, island_area=10000) # minus buffer to remove mixed pixels and remove islands less than 1ha\n",
        "\n",
        "\n",
        "atoll_name = atoll_gdf.Atoll.unique()[0] # return atoll name\n",
        "atoll_output_path = os.path.join(output_directory_path, atoll_name) # define directory for Atoll\n",
        "\n",
        "if not os.path.exists(atoll_output_path):\n",
        "  os.mkdir(atoll_output_path)\n",
        "\n",
        "islands = atoll_gdf.iterfeatures() # generate iterable of island geometries\n",
        "\n",
        "for i in tqdm.tqdm(islands):\n",
        "  process_images(i, sensors=[\"HLSL30\", \"HLSS30\"], start_date=\"2013-01-01\", end_date=\"2025-02-11\", folder_path=atoll_output_path)\n",
        "\n",
        "# return geojson for atoll\n",
        "geojson_path = f\"{atoll_output_path}/atoll.geojson\"\n",
        "if not os.path.exists(geojson_path):\n",
        "  atoll_gdf.drop(columns=['buffer_geometry', 'buffer_area'], inplace=True)\n",
        "  atoll_gdf.to_file(f\"{atoll_output_path}/atoll.geojson\", driver='GeoJSON')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Examine images\n",
        "Scripts in this section can be used to view individual images for an Atoll under investigation. The image and the Atoll will be displayed in the map view.\n",
        "  - Image is stored in the `image` variable in `line 6`\n",
        "  - atoll shapfile is stored in `line 8`"
      ],
      "metadata": {
        "id": "3afoXI7D8x-S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "## FUNCTIONS ##\n",
        "def return_featureCollection(gdf):\n",
        "  features = []\n",
        "  for i in atoll_gdf.iterfeatures():\n",
        "    aoi = featureutils.item_to_featureCollection(i) # return cell as ee.featureCollection\n",
        "    features.append(aoi)\n",
        "\n",
        "  merged_collection = ee.FeatureCollection([])\n",
        "  for i in features:\n",
        "    merged_collection = merged_collection.merge(i)\n",
        "  return merged_collection\n"
      ],
      "metadata": {
        "id": "QZOyf4ay_2Us"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import geemap.core as geemap\n",
        "\n",
        "map = geemap.Map()\n",
        "\n",
        "# Load an image.\n",
        "image = ee.Image(\"NASA/HLS/HLSL30/v002/T58PFQ_20131116T231517\")\n",
        "\n",
        "atoll_gdf = preprocess_shapefile(f\"{input_directory_path}/Lae_poly.shp\", buffer_val=-30, island_area=10000) # return ee.featureCollection for atoll\n",
        "\n",
        "atoll_ee = return_featureCollection(atoll_gdf)\n",
        "\n",
        "map.centerObject(atoll_ee, zoom=12)\n",
        "\n",
        "# Define the visualization parameters.\n",
        "image_viz_params = {\n",
        "    'bands': ['B4', 'B3', 'B2'],\n",
        "    'min':0.01,\n",
        "    'max':0.18,\n",
        "}\n",
        "\n",
        "# Add the image layer to the map and display it.\n",
        "map.add_layer(image, image_viz_params, 'image')\n",
        "map.add_layer(atoll_ee, {}, 'atoll')\n",
        "\n",
        "\n",
        "display(map)"
      ],
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        "outputId": "e7050b0c-4c8c-47ef-c85e-35ac4bdc47ab"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map(center=[8.931876222981376, 166.2556415947974], controls=(ZoomControl(options=['position', 'zoom_in_text', …"
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    {
      "cell_type": "code",
      "source": [],
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      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Plot timeseries\n",
        "scripts to plot NDVI timeseries for each island in an Atoll.\n",
        "  1. Set `output_directory_path`\n",
        "  2. Set `atoll_name`\n",
        "  3. Remove observations containing cloud using `line 17`.\n",
        "\n"
      ],
      "metadata": {
        "id": "4Bmo68seA3zZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.dates as mdates\n",
        "\n",
        "\n",
        "output_directory_path = f\"{root}/atoll-vegetation-health\"\n",
        "atoll_name = 'Lae'\n",
        "\n",
        "atoll_fp = f'{output_directory_path}/{atoll_name}'\n",
        "\n",
        "files = glob.glob(f'{atoll_fp}/*.csv')\n",
        "\n",
        "\n",
        "for f in files:\n",
        "  id = f.split('/')[-1].split('-')[0]\n",
        "  df = pd.read_csv(f)\n",
        "  df['date'] = pd.to_datetime(df['date'])\n",
        "  df = df[df['region_cloudy_percent'] == 0]\n",
        "  #df = df[df['area_per_pixel'] <= 950]\n",
        "  fig, ax = plt.subplots()  # Create a figure and axes object\n",
        "\n",
        "  df.plot(x='date', y='ndvi', title=id, kind='scatter', ax=ax)  # Plot on the axes\n",
        "\n",
        "  # Format the x-axis to show only years\n",
        "  years = mdates.YearLocator()   # every year\n",
        "  years_fmt = mdates.DateFormatter('%Y')\n",
        "\n",
        "  ax.xaxis.set_major_locator(years)\n",
        "  ax.xaxis.set_major_formatter(years_fmt)\n",
        "\n",
        "  plt.show()\n"
      ],
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          "height": 0
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      "execution_count": 14,
      "outputs": [
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              "                .geemap-dark {\n",
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              "                    --jp-ui-font-color1: white;\n",
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              "                .geemap-dark .jupyter-button {\n",
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              "\n",
              "                .geemap-colab {\n",
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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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CnkLHifKzXgOPrxtRNHTc85WvO8Ua3tZoTBPRedtp/fXjg/rZxZ0kha4Pl6vX8XXnWX+kVrsWzfTku3tNnXXV6jtuq/W987SPmzcqQ+P++pk2Hzrl9vmhCo3+fC6+dmaXpJsWbYr4iWJ+UZl2egleNTYfOuXy8/W0/w+2Y3y0T/5JuAkBV6Fj/b6iBjcrdPfj8WUjsuOZpi9n9DUu6JioNgmxbm/+GG3vPRg9UlpqYLc2bg8mnx08pc+PnNac9/YG3crn6aDm786z7kgts+eHseqO2wqts64ChLcTqwlX9fSp43igoTGQz8XXS981In2i6G99rnjb/wczv1W0jxqkz02Q3F2XrJYaHIjd9aHxZQbZYK+f1q/Zl2u24e7bU3NGv+buK7R47CBd1DlRMfW6ZsRI6tspUY+s+tLlNfvE5rFhO+P35f2b1f9p7JDuHh+//60dPvfh8sRbv5RgZuk1sz+LL785M75bf/rehdrpikqNXrRJV835SGMXf1bbV+bzI6e99r3w9TJzoKExkM/F15pq+NKXxNs24c824299nrjb/9ffx665+wotHZfpc1D29vu2cv9PWm6C5E/69pSyvSXsUJxp+nL2k19Upi+OlWrpxwd9vrYbrDYJsZr5j4Pa8U3DJtpqyWPT7amKczpZURnSORt8+ZxCfYbt72WIPp08jxTY6eKz9LeVz9fWQrNbYQLl7jf3yIi+Gr1oU8RbT8xunXUXIE6Wn/X4vIMnynVl7/YeLzMHc7Yf6Ofi76XvGpOWb9Ur4y51+q69/d4D2R8EWp8r3vb/gc5v5W7yz5ogbOX+n7TcBCmQ9D1p+dYGrRDeEnYo7g/k6eyn7lnbpGXbnIJN3fXCwVVd/vC11crdmWn978KXs8RQnWH7WlN9nraHvl6Cj6+flz+thdE4qsjdb276WztNaT0JZeusvzyNjPHWL6TmwOrqLL+GP32q6rcGBPO5uKrpIi+/jy+Pljb4rr393gPdH7iqr40f4SBS94er//s2s4XRV7TcBCmQ9F3z43F1bddVwq45q7875zxJCuj6qbezn1uWbtbWQ6fdPj9cZ4/+dPpzx9embl86ZPtylmj8///2tI6vn5GvNblq1XHX8vC7a87TzxdscPs3ffm88ovKVFDyncd1rN6h0Fd1f3Nmtp6Y0Q+oZtsq9PJd9+2cqF1Hz3jse1H/LL9pjEP/rTZ8bs3zdA8yT76rrNKaPcdd/p0T5Wc1dlh33TI83amW0Ys2af2+IlW7eL1qQ07ftbdtYt3eooC3GVctI6XfnvP4+60rmI744R7dazbCTQi4Osi0SYhVScU5n3487rj7sa+cMFQn/LzhoLezn/otNe4E2iHQ3Q8pmE51/jR1+/qDDMXZs6+fkbeavHUK9nS/qEA7Arra5uqLlg6FgTBzFFUkO3D68j3X9YdfXOTzCLdAL4G4G5jxbeV/NbxXittab39la+1/1/w+DBluLxNJ3++zr1/4sfYdL3NbT8137W2b2HbE877Tl22m7me2Zs9xj+v2Sm2hO686Txd0TopY5+y6rD7SsAbhJgRcHWTaJjTTb1/4xGOTrreNwN1ZvSS/e/SHqvOav2eP3n5IwdTlz1mLrz9IX86evU3q7etn5K2m+9/aoV1HzzgtczWiw9XBJNBREr5cIoz0sO1IMnsUVaTu3u7rpeCaYHVxl9Yug3R+UZm2HjkVkqkGXIWXakmfHTqlPh1a+vQ6dS+NuGsRfXZUf01evt1jsJH+91172yYy0tr49Dq+8vb3/nLToKA+61uWbtaWQ667HfhyXDH7N+Irwk0I1T/IPDsqw+P01542glA3/Xk6K8zo2trjHBU167k7e/TUvOntsos/l/WaOBy6pGtr3eHivlPe+PqD9PXsORRn2N5qCqZTcCB3Afd2ifCxX16krB7tLHFWFi5mD3+NxN3b/bkUXD9Y1ezjQt2h1FvQ313gOYjUqHJzybjuY94uwdf/rr1tE8PPS3E5TYX0fQu+v99fuLbB0xWVGv/XzS739f4cV8z+jfiKDsVhFEwn4HB0LnQ3rG/RmEFep8h3dfborTOsr9N3u6prcI92GvKDdg1qeGHMoIA6rvrzXfgyvDmYIdDeavKFr9+/Px19vW1zqUnxltlxhVMovttghbODtrfvefYvL/I6bDjUHUq9Bf1Q3gDxs4OnPJ5I1XzXdTs2e9om8ovKXAYb6fvRnIEMkw7HNjh5+XZt9XIS6+t+xVV9F3RsZakWXVpuwizQZuZwNP15Oit0Veegbm1085Dubq/temuV8fVSkKe6QnkG6+t34cvZc6jOsP2ZyLCucDT9RktzszuhmtU3Eq0nZvL2Pb+59Wu9MHqQ2xaYcHQorQn67jr51ohxqMF9mEJp9i8v0o/7dnB7R/iTFZUNtomtXvrcrPz8G79vHhrqbdDX1jpff+NJCbF6eMSFunbeepV+919J0o6jpbriyTVaOWGY0tqFbg6fQBFuwizQjTScTX+u+mj4W6cvOzh/D5au6gq0c6Ir/r5HX/52sPXV1LRub5FGv7jJ6/rhbPqNlubm+sI1q28w363Vbp9Ql7dLwVsPnfbY/yIcHUrzi8r0m0FddKrirMv5rmoM6NbG4+CHmm1VUkCX4C/t0c7rSVv99+bLzUOffn9fQNtkqPZ/nx444fHxGIc0zM+Z3kcs2FAbbGqcqjin6xas17YZ1wRUZyhxWSpCAmlmNqN53Nc6fdnBhWJunnCw4pwsvk4jEO7v3wqXZPxlpTk3Ap23KNLmjcpQRtfWLh/zNlNvKFv46n5eE5dt045vSpUY37TBTOU1+4wVtw2pnZdo5cShGl7vZpc126q/l+BrXr9mmgd/7oTt6+VlM7bJms932pueb9A5oFsbv37jH+057vFS3L+DnN4jFGi5sTArN4/7uoOL1OiPaOft84xUZ14rb3OuWG3OjWi5uW1SQqzX+0G5a4EJZQufq8+r7Lv/KqleB926+4y6rRmetlV/LsHXvL63S0zuPhNfLi+bsU16GxUXo++DzYrbhvj1utu/Pu3x8a2HT5lyl/W6CDdRIJSXZkLF1x1cpA+WVr4c4Im3z/P/ZHaNaD1W3OZcsdKcG1YLWt4E0wITipMWT8O/T1Wc00vjMn2aBNDTturvJfhAP5O6r7ny82/09Pv73L5GpLZJX/rZDKsz948/+ndp7fHxS7p6Hh4fCYQbBMyfHVy4D5ah6ndhZjiilct/VuoEbaWg5YtgWmBCcdLi7fP6b7WhK3u3r/3/UP82Xe2Tgm2VSk9uoWsv7uQx3ERqm/RlVNyoAE+aLu/d3uPwd7NbbSTCDYJgpUsYwV4OCFenVH/QyuU/K3WCtlLQ8lWwgTrQk5bTFZVa8OF+j+vUfF6R/m0G+5lYZZv0tj1e2qOdx8e9WTlhmK5bsN4p4LRJiNXKCcOCet1QcRjeplu1mdLSUiUlJamkpESJiZ5voIbokF9U5nGyxDV3X+F1hzJ60Sa3OyMr9ZUIBU/38Dnp5209rKCk4pzbobuRvkNxtG5HkT5BcfU51VfzHU5avs2UzzSYz8Qq22Qktsd/7yvS1sOndEnXNrUtNuE6cfLn+E24MYEdzpitZM2e4x47Ri4eO8ipebu+UISjaOLPgSXS4SAYVmhBtMpBzcq8/d5q+DJ02+q/TbO3yUhvj+FuZfPn+M1lqQiywqUPOwr2ckC09ZUIhq+TeVlxhI83VugEbaVLtVbl681yqwzD621hrP7bNHObrDmJnvXzCyUpItujlUYLEm4iyEpffCCs2uLUtkUzl53bmjikoT5MTBWNfSUC5c+BxYojfKKFFYKWVYXqJr6SvX6boWLWSbTVRgsyiV+E+HqfJSuy+sRkk5dvd1lLYvNYnzoBWnWywXDw98ASyD3MAE/8vafaoO5tGsVvM1B174ElmTepZTjuhxgMwk2EWO2L94eVZoCtryY0urofzamKczpZUenT60TjzLyB8PfAwpkxwsHV762+mgDzwuhBjeK36S9XJ53XP/exaSfRVmsB57JUhFjti/eV1Zoa6wtVf5nG1FfCl9lUrXo/KateGoV/6v/e2rVopiff3ety+HVj+m36w9VJpy93/Q7XZ2eVIfA1CDcREo4vPhI7eqt3tg11aGwMfSX8ObBYBZ3x7cnXWynUX7ex8zS7syfhPom20kSkhJsICtUXH8kdvdVbnKx2tlCX1VsZ/DmwmC3aO+PDNwQY33g76YxxSNV1rkxFan9opVY2wk0EheqLj+SO3srhoYaVzhak6G1lsOqBxeqXRoFI83bSOaBbG3128H+XqCK9P7TCvoRwY4JgvngzdvRWCw/1WelsQaKVIdSsfmkUiDRvJ51W2h+ahXATZczY0VstPLhjhbMFWhlCz+qXRgEzeDvptML+0EymDwVfsGCBunfvrvj4eGVlZWnTpk0e1587d6569+6t5s2bKy0tTXfddZe+++67CFVrPjN39OnJLXRl7/aN+gfjTTQP+beqxjQPERqf+vPU+KrmpHPN3Vdo8dhBWnP3FVo6LtPSl74jydSWm9dee025ublauHChsrKyNHfuXOXk5GjPnj1q377hvYCWLVumqVOn6sUXX9SQIUO0d+9e3XzzzXI4HHrqqadMeAeRFw19YBozWhnCw+qXRgF/hapvXmNvoXHH1BtnZmVladCgQZo/f74kqbq6WmlpaZo0aZKmTp3aYP2JEydq165dysvLq132u9/9Tp9++qnWr1/v09+0wo0zg8XN+awtWu8MHQ2sfmkU8BX7Cf9FxY0zKysrtWXLFk2bNq12WUxMjLKzs7Vx40aXzxkyZIhefvllbdq0SZmZmcrPz9c777yjm266ye3fOXv2rM6ePVv7/6WlpaF7EyaJlj4wjRWtDOHDWSrsgL554WdauCkuLlZVVZVSU1Odlqempmr37t0un3PDDTeouLhYw4YNk2EY+u9//6vbbrtN9913n9u/M3v2bM2aNSuktVsFO3prInwC8IQRgOFneodif6xdu1Z/+MMf9Kc//Ulbt27Vm2++qVWrVunhhx92+5xp06appKSk9t+RI0ciWDEaMzpgR79AO3vC/oLZNuibF36mtdwkJyerSZMmKiwsdFpeWFioDh06uHzOAw88oJtuuknjx4+XJF100UUqLy/Xrbfeqvvvv18xMQ2zWlxcnOLi4kL/BgDYVrROxIjwC8W2wcCQ8DOt5aZZs2YaMGCAU+fg6upq5eXlafDgwS6fU1FR0SDANGnSRJJkYr9oADbjaSJGNG6h2jZc3RmdvnmhY+pQ8NzcXI0ZM0YDBw5UZmam5s6dq/Lyco0dO1aSNHr0aHXu3FmzZ8+WJF177bV66qmnlJGRoaysLO3fv18PPPCArr322tqQAwDBoLMn3AnltkHfvPAyNdyMHDlSRUVFmjFjhgoKCtS/f3+tXr26tpPx4cOHnVpqpk+fLofDoenTp+ubb75RSkqKrr32Wj366KNmvQUANkNnT7gTjm2DgSHhYeo8N2awwzw3AMInv6hMV835yO3ja+6+goNRI8W2YS5/jt9RNVoKAMKN2z3AHbaN6EG4AYB66OwJd9g2ogOXpQDADTp7wh22jciLitsvAIDV0dkT7rBtWBuXpQAAgK3QcgMAQATkF5Xp0MkKLmVFAOEGAIAw4nYekcdlKQAAwojbeUQe4QYAgDCpuWVDVb2ByXVv2YDQI9wAABAmvtyyAaFHuAEAIEy6tU3w+Hj3dnQsDgfCDQAAYcItG8xBuAEAIIy4ZUPkMRQcAILA3CXwJikhVkvHZXLLhggi3AAhxsGucWDuEviLWzZEDuEGCBEOdo2Lp7lLlo7LNKkqABJ9boCQYaKuxoO5SwBrI9wAIcDBrnFh7hLA2gg3QAhwsGtcmLsEsDbCDRACHOwaF+YuAayNcAOEgKeD3cBubXTwRDmXpmyGuUsQrfKLyrRmz3Fb75MchlGvk4DNlZaWKikpSSUlJUpMTDS7HNhIScU5TVq+zWm0VJuEWJ2qOFf7/4yesh/mLkG0iPYRnf4cvwk3QIjVHOz+tGa/th467dTJuInDoaE9kxkqDCDiRi/apA37i6N2n+TP8ZvLUkCIpSe3ULe2Cfrs4ClGTwGwhMY2opNwA4QBo6cAWElj2ycRboAwYPQUACtpbPskwg0QBgwVBmAljW2fRLgBwoShwoB5GsNwZ381pn0So6WAMGOoMBA50T7cORKidZ/EUHAPCDcAYF/RPtwZ7jEUHADQ6DS24c5wj3ADALCFxjbcGe4RbgAAttDYhjvDPcINAMAWGttwZ7hHuAEA2EZjGu4M95qaXQAAAKGSlBCrpeMyo3a4M0KDcAMAsJ30ZEJNY8ZlKQAAYCuEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCuEGwAAYCvMcxNh+UVlOnSygomlAAAIE8JNhJyuqNTk5du1bl9R7bLhvVI0b1SGkhJiTawMAAB74bJUhExevl0b9hc7Lduwv1iTlm8zqSIAAOyJcBMB+UVlWrevSFWG4bS8yjC0bl+RDhSXm1QZAAD2Q7iJgEMnKzw+fvAE4QYAgFAh3ERAt7YJHh/v3o6OxQAAhArhJgJ6pLTU8F4pauJwOC1v4nBoeK8URk0BABBChJsImTcqQ0N7JjstG9ozWfNGZZhUEQAA9sRQ8AhJSojV0nGZOlBcroMnypnnBgCAMCHcRFh6MqEGAIBw4rIUAACwFcINAACwFcINAACwFcINAACwFdPDzYIFC9S9e3fFx8crKytLmzZt8rj+6dOnNWHCBHXs2FFxcXE677zz9M4770SoWgAAYHWmjpZ67bXXlJubq4ULFyorK0tz585VTk6O9uzZo/bt2zdYv7KyUldffbXat2+vN954Q507d9ahQ4fUunXryBcPAAAsyWEY9e7mGEFZWVkaNGiQ5s+fL0mqrq5WWlqaJk2apKlTpzZYf+HChXriiSe0e/duxcbGBvQ3S0tLlZSUpJKSEiUmJgZVPwAAiAx/jt+mXZaqrKzUli1blJ2d/b9iYmKUnZ2tjRs3unzOypUrNXjwYE2YMEGpqanq27ev/vCHP6iqqsrt3zl79qxKS0ud/gEAAPsyLdwUFxerqqpKqampTstTU1NVUFDg8jn5+fl64403VFVVpXfeeUcPPPCA5syZo0ceecTt35k9e7aSkpJq/6WlpYX0fQAAAGsxvUOxP6qrq9W+fXv95S9/0YABAzRy5Ejdf//9WrhwodvnTJs2TSUlJbX/jhw5EsGKAQBApJnWoTg5OVlNmjRRYWGh0/LCwkJ16NDB5XM6duyo2NhYNWnSpHZZnz59VFBQoMrKSjVr1qzBc+Li4hQXFxfa4gEAgGWZ1nLTrFkzDRgwQHl5ebXLqqurlZeXp8GDB7t8ztChQ7V//35VV1fXLtu7d686duzoMtgAAIDGx9TLUrm5uXr++ef117/+Vbt27dLtt9+u8vJyjR07VpI0evRoTZs2rXb922+/XSdPntSUKVO0d+9erVq1Sn/4wx80YcIEs94CAACwGFPnuRk5cqSKioo0Y8YMFRQUqH///lq9enVtJ+PDhw8rJuZ/+SstLU3vvvuu7rrrLl188cXq3LmzpkyZot///vdmvQUAAGAxps5zYwbmuQEAIPpExTw3AAAA4UC4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtkK4AQAAtmLqjTMBIBj5RWU6dLJC3du1UHpyC7PLAWARhBsAUed0RaUmL9+udfuKapcN75WieaMylJQQa2JlAKyAy1IAos7k5du1YX+x07IN+4s1afk2kyoCYCWEGwBRJb+oTOv2FanKMJyWVxmG1u0r0oHicpMqA2AVhBsAUeXQyQqPjx88QbgBGjvCDYCo0q1tgsfHu7ejYzHQ2BFuAESVHiktNbxXipo4HE7LmzgcGt4rhVFTAAg3AKLPvFEZGtoz2WnZ0J7Jmjcqw6SKAFgJQ8EBRJ2khFgtHZepA8XlOniinHluADgh3ACIWunJhBoADXFZCgAA2ArhBgAA2IrPl6WeffZZ3XrrrYqPj9ezzz7rcd3JkycHXRgAAEAgHIZRb5pPN9LT07V582a1a9dO6enp7l/Q4VB+fn7ICgy10tJSJSUlqaSkRImJiWaXAwAAfODP8dvnlpsDBw64/G8AAAArCajPzfr160NdBwAAQEgEFG6uuuoqpaen67777tMXX3wR6poAAAACFlC4OXr0qH73u9/po48+0kUXXaT+/fvriSee0Ndffx3q+gAAAPzic4didw4cOKBly5Zp+fLl2r17t4YPH64PP/wwVPWFHB2KAQCIPv4cv4MON5JUVVWlf/3rX3rggQf0n//8R1VVVcG+ZNgQbgAAiD7+HL+DmsRvw4YNuuOOO9SxY0fdcMMN6tu3r1atWhXMSwIAAAQloHtLTZs2Ta+++qqOHj2qq6++Ws8884x+/vOfKyEhIdT1AQAA+CWgcLNu3Trdc889+s1vfqPk5ORQ1wQAABCwgMLNhg0bQl0HAABASPgcblauXOnzi1533XUBFQMAABAsn8PNiBEjnP7f4XCo7kArh8NR+99WHi0FAADszefRUtXV1bX/3nvvPfXv31//+te/dPr0aZ0+fVrvvPOOLrnkEq1evTqc9QIAAHgUUJ+bO++8UwsXLtSwYcNql+Xk5CghIUG33nqrdu3aFbICAQAA/BHQPDdfffWVWrdu3WB5UlKSDh48GGRJAAAAgQso3AwaNEi5ubkqLCysXVZYWKh77rlHmZmZISsOAADAXwGFmxdffFHHjh1T165d1bNnT/Xs2VNpaWn65ptv9MILL4S6RgAAAJ8F1OemZ8+e+s9//qMPPvigtn9Nnz59lJ2d7TRqCgAAINICvnFmXl6e8vLydPz4cVVXVzs99uKLL4akuHDgxpkAAEQff47fAbXczJo1Sw899JAGDhyojh070loDAAAsI6Bws3DhQi1ZskQ33XRTqOsBAAAISkAdiisrKzVkyJBQ1wIAABC0gMLN+PHjtWzZslDXAgAAELSALkt99913+stf/qIPPvhAF198sWJjY50ef+qpp0JSHAAAgL8CCjf/+c9/1L9/f0nSzp07nR6jczEAADBTQOFmzZo1oa4DAAAgJALqcwMAAGBVhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArlgg3CxYsUPfu3RUfH6+srCxt2rTJp+e9+uqrcjgcGjFiRHgLBAAAUcP0cPPaa68pNzdXM2fO1NatW9WvXz/l5OTo+PHjHp938OBB3X333brssssiVCkAAIgGpoebp556SrfccovGjh2rCy64QAsXLlRCQoJefPFFt8+pqqrSb3/7W82aNUs9evSIYLUAAMDqTA03lZWV2rJli7Kzs2uXxcTEKDs7Wxs3bnT7vIceekjt27fXuHHjIlEmAACIIgHdfiFUiouLVVVVpdTUVKflqamp2r17t8vnrF+/XosWLdL27dt9+htnz57V2bNna/+/tLQ04HoBAID1mX5Zyh9nzpzRTTfdpOeff17Jyck+PWf27NlKSkqq/ZeWlhbmKgEAgJlMbblJTk5WkyZNVFhY6LS8sLBQHTp0aLD+V199pYMHD+raa6+tXVZdXS1Jatq0qfbs2aMf/OAHTs+ZNm2acnNza/+/tLSUgAMAgI2ZGm6aNWumAQMGKC8vr3Y4d3V1tfLy8jRx4sQG659//vnasWOH07Lp06frzJkzeuaZZ1yGlri4OMXFxYWlfgAAYD2mhhtJys3N1ZgxYzRw4EBlZmZq7ty5Ki8v19ixYyVJo0ePVufOnTV79mzFx8erb9++Ts9v3bq1JDVYDgAAGifTw83IkSNVVFSkGTNmqKCgQP3799fq1atrOxkfPnxYMTFR1TUIAACYyGEYhmF2EZFUWlqqpKQklZSUKDEx0exyAACAD/w5ftMkAgAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbMUS4WbBggXq3r274uPjlZWVpU2bNrld9/nnn9dll12mNm3aqE2bNsrOzva4PgAAaFxMDzevvfaacnNzNXPmTG3dulX9+vVTTk6Ojh8/7nL9tWvXatSoUVqzZo02btyotLQ0XXPNNfrmm28iXDkAALAih2EYhpkFZGVladCgQZo/f74kqbq6WmlpaZo0aZKmTp3q9flVVVVq06aN5s+fr9GjR3tdv7S0VElJSSopKVFiYmLQ9QMAgPDz5/htastNZWWltmzZouzs7NplMTExys7O1saNG316jYqKCp07d05t27Z1+fjZs2dVWlrq9A8AANiXqeGmuLhYVVVVSk1NdVqempqqgoICn17j97//vTp16uQUkOqaPXu2kpKSav+lpaUFXTcAALAu0/vcBOOxxx7Tq6++qr///e+Kj493uc60adNUUlJS++/IkSMRrhJAXflFZVqz57gOFJebXQoAm2pq5h9PTk5WkyZNVFhY6LS8sLBQHTp08PjcJ598Uo899pg++OADXXzxxW7Xi4uLU1xcXEjqBRC40xWVmrx8u9btK6pdNrxXiuaNylBSQqyJlQGwG1Nbbpo1a6YBAwYoLy+vdll1dbXy8vI0ePBgt8/74x//qIcfflirV6/WwIEDI1EqgCBNXr5dG/YXOy3bsL9Yk5ZvM6kiAHZlasuNJOXm5mrMmDEaOHCgMjMzNXfuXJWXl2vs2LGSpNGjR6tz586aPXu2JOnxxx/XjBkztGzZMnXv3r22b07Lli3VsmVL094HAPfyi8qcWmxqVBmG1u0r0oHicqUntzChMgB2ZHq4GTlypIqKijRjxgwVFBSof//+Wr16dW0n48OHDysm5n8NTM8995wqKyt1/fXXO73OzJkz9eCDD0aydAA+OnSywuPjB08QbgCEjunz3EQa89wAkZdfVKar5nzk9vE1d19BuAHgUdTMcwOgceiR0lLDe6WoicPhtLyJw6HhvVIINgBCinADICLmjcrQ0J7JTsuG9kzWvFEZJlUEwK5M73MDoHFISojV0nGZOlBcroMnytW9XQtabACEBeEGQESlJxNqAIQXl6UAAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtNDW7AAAAGqP8ojIdOlmh7u1aKD25hdnl2ArhBgCACDpdUanJy7dr3b6i2mXDe6Vo3qgMJSXEmliZfXBZCgCACJq8fLs27C92WrZhf7EmLd9mUkX2Q7gBACBC8ovKtG5fkaoMw2l5lWFo3b4iHSguN6kyeyHcAAAQIYdOVnh8/OAJwk0oEG4AAIiQbm0TPD7evR0di0OBcAMAQIT0SGmp4b1S1MThcFrexOHQ8F4pjJoKEcINAAARNG9Uhob2THZaNrRnsuaNyjCpIvthKDgAABGUlBCrpeMydaC4XAdPlDPPTRgQbgAAMEF6MqEmXLgsBQAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbIVwAwAAbMUS4WbBggXq3r274uPjlZWVpU2bNnlcf8WKFTr//PMVHx+viy66SO+8806EKgUAAFZnerh57bXXlJubq5kzZ2rr1q3q16+fcnJydPz4cZfrf/zxxxo1apTGjRunbdu2acSIERoxYoR27twZ4coBAIAVOQzDMMwsICsrS4MGDdL8+fMlSdXV1UpLS9OkSZM0derUBuuPHDlS5eXlevvtt2uXXXrpperfv78WLlzo9e+VlpYqKSlJJSUlSkxMDN0bAQAAYePP8dvUlpvKykpt2bJF2dnZtctiYmKUnZ2tjRs3unzOxo0bndaXpJycHLfrnz17VqWlpU7/AMAq8ovKtGbPcR0oLje7FMA2mpr5x4uLi1VVVaXU1FSn5ampqdq9e7fL5xQUFLhcv6CgwOX6s2fP1qxZs0JTMACEyOmKSk1evl3r9hXVLhveK0XzRmUoKSHWxMqA6Gd6n5twmzZtmkpKSmr/HTlyxOySAECTl2/Xhv3FTss27C/WpOXbTKoIsA9TW26Sk5PVpEkTFRYWOi0vLCxUhw4dXD6nQ4cOfq0fFxenuLi40BQMACGQX1Tm1GJTo8owtG5fkQ4Ulys9uYUJlQH2YGrLTbNmzTRgwADl5eXVLquurlZeXp4GDx7s8jmDBw92Wl+S3n//fbfrA4DVHDpZ4fHxgyfofwMEw9SWG0nKzc3VmDFjNHDgQGVmZmru3LkqLy/X2LFjJUmjR49W586dNXv2bEnSlClTdPnll2vOnDn66U9/qldffVWbN2/WX/7yFzPfBgD4rFvbBI+Pd29Hqw0QDNPDzciRI1VUVKQZM2aooKBA/fv31+rVq2s7DR8+fFgxMf9rYBoyZIiWLVum6dOn67777lOvXr301ltvqW/fvma9BQDwS4+UlhreK0Ub9herqs5sHE0cDg3tmcwlKSBIps9zE2nMcwPACkoqzmnS8m2MlgJ85M/x2/SWGwBojJISYrV0XKYOFJfr4IlydW/XghYbIEQINwBgovRkQg0Qaraf5wYAADQuhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArhBsAAGArje72CzX3CS0tLTW5EgAA4Kua47Yv9/tudOHmzJkzkqS0tDSTKwEAAP46c+aMkpKSPK7jMHyJQDZSXV2to0ePqlWrVnI4HKbUUFpaqrS0NB05csTrbdvNYOX6rFybRH3BsnJ9Vq5Nor5gWbk+K9cmRa4+wzB05swZderUSTExnnvVNLqWm5iYGHXp0sXsMiRJiYmJltxQa1i5PivXJlFfsKxcn5Vrk6gvWFauz8q1SZGpz1uLTQ06FAMAAFsh3AAAAFsh3JggLi5OM2fOVFxcnNmluGTl+qxcm0R9wbJyfVauTaK+YFm5PivXJlmzvkbXoRgAANgbLTcAAMBWCDcAAMBWCDcAAMBWCDcAAMBWCDcBmD17tgYNGqRWrVqpffv2GjFihPbs2eO0znfffacJEyaoXbt2atmypX71q1+psLDQaZ3JkydrwIABiouLU//+/T3+zf3796tVq1Zq3bq1Zeo7ePCgHA5Hg3+ffPKJJeqTvp/R8sknn9R5552nuLg4de7cWY8++qgl6nvwwQddfn4tWrQwvTZJevfdd3XppZeqVatWSklJ0a9+9SsdPHjQ/QcX4fpef/119e/fXwkJCerWrZueeOIJj7WFqr7PP/9co0aNUlpampo3b64+ffromWeeafC31q5dq0suuURxcXHq2bOnlixZYpn6jh07phtuuEHnnXeeYmJidOedd1qmtjfffFNXX321UlJSlJiYqMGDB+vdd9+1TH3r16/X0KFD1a5dOzVv3lznn3++nn76acvUV9eGDRvUtGlTr8eXSNa3du1al/u9goICrzX6xYDfcnJyjMWLFxs7d+40tm/fbvzkJz8xunbtapSVldWuc9tttxlpaWlGXl6esXnzZuPSSy81hgwZ4vQ6kyZNMubPn2/cdNNNRr9+/dz+vcrKSmPgwIHGj3/8YyMpKcky9R04cMCQZHzwwQfGsWPHav9VVlZaor6adXr37m384x//MPLz843Nmzcb7733niXqO3PmjNPnduzYMeOCCy4wxowZY3pt+fn5RlxcnDFt2jRj//79xpYtW4zhw4cbGRkZlvjs3nnnHaNp06bGc889Z3z11VfG22+/bXTs2NGYN29e2OtbtGiRMXnyZGPt2rXGV199Zbz00ktG8+bNnf52fn6+kZCQYOTm5hpffvmlMW/ePKNJkybG6tWrLVHfgQMHjMmTJxt//etfjf79+xtTpkzxWFcka5syZYrx+OOPG5s2bTL27t1rTJs2zYiNjTW2bt1qifq2bt1qLFu2zNi5c6dx4MAB46WXXjISEhKMP//5z5aor8apU6eMHj16GNdcc43H40uk61uzZo0hydizZ4/Tvq+qqsprjf4g3ITA8ePHDUnGRx99ZBiGYZw+fdqIjY01VqxYUbvOrl27DEnGxo0bGzx/5syZHje+e++917jxxhuNxYsX+xRuIlVfTbjZtm2b3zVFor4vv/zSaNq0qbF7925L1lff9u3bDUnGunXrTK9txYoVRtOmTZ12OCtXrjQcDofX8BqJ+kaNGmVcf/31TsueffZZo0uXLkZ1dXXE6qtxxx13GFdeeWXt/997773GhRde6LTOyJEjjZycHJ9rC2d9dV1++eU+hRszaqtxwQUXGLNmzbJsfb/4xS+MG2+80VL1jRw50pg+fbrP+59I1VcTbk6dOuV3Tf7gslQIlJSUSJLatm0rSdqyZYvOnTun7Ozs2nXOP/98de3aVRs3bvTrtT/88EOtWLFCCxYssGR9knTdddepffv2GjZsmFauXGmZ+v75z3+qR48eevvtt5Wenq7u3btr/PjxOnnypCXqq++FF17Qeeedp8suu8z02gYMGKCYmBgtXrxYVVVVKikp0UsvvaTs7GzFxsaaXt/Zs2cVHx/vtKx58+b6+uuvdejQoYjXV1JSUvsakrRx40an15CknJwcv7ePcNUXCpGqrbq6WmfOnPG7/kjVt23bNn388ce6/PLLLVPf4sWLlZ+fr5kzZ/pVU6Tqk6T+/furY8eOuvrqq7Vhw4aA63SHcBOk6upq3XnnnRo6dKj69u0rSSooKFCzZs0a9I9JTU3167riiRMndPPNN2vJkiUB34wsnPW1bNlSc+bM0YoVK7Rq1SoNGzZMI0aM8CvghLO+/Px8HTp0SCtWrNDSpUu1ZMkSbdmyRddff70l6qvru+++0yuvvKJx48ZZorb09HS99957uu+++xQXF6fWrVvr66+/1uuvv26J+nJycvTmm28qLy9P1dXV2rt3r+bMmSPp+/4kkazv448/1muvvaZbb721dllBQYFSU1MbvEZpaam+/fZb0+sLViRre/LJJ1VWVqbf/OY3lqqvS5cuiouL08CBAzVhwgSNHz/eEvXt27dPU6dO1csvv6ymTQO7N3Y46+vYsaMWLlyov/3tb/rb3/6mtLQ0XXHFFdq6dWtAtbrT6O4KHmoTJkzQzp07tX79+pC/9i233KIbbrhBw4cPD/g1wllfcnKycnNza/9/0KBBOnr0qJ544gldd911ptdXXV2ts2fPaunSpTrvvPMkSYsWLdKAAQO0Z88e9e7d29T66vr73/+uM2fOaMyYMT4/J5y1FRQU6JZbbtGYMWM0atQonTlzRjNmzND111+v999/Xw6Hw9T6brnlFn311Vf62c9+pnPnzikxMVFTpkzRgw8+qJgY387ZQlHfzp079fOf/1wzZ87UNddcE/DruGLl+iJV27JlyzRr1iz94x//UPv27S1V37///W+VlZXpk08+0dSpU9WzZ0+NGjXK1Pqqqqp0ww03aNasWbX7vECE8/Pr3bu30753yJAh+uqrr/T000/rpZdeCvjv1UfLTRAmTpyot99+W2vWrFGXLl1ql3fo0EGVlZU6ffq00/qFhYXq0KGDz6//4Ycf6sknn1TTpk3VtGlTjRs3TiUlJWratKlefPFF0+tzJSsrS/v37/dp3XDX17FjRzVt2tTpR96nTx9J0uHDh02vr64XXnhBP/vZzxqc7ZtV24IFC5SUlKQ//vGPysjI0PDhw/Xyyy8rLy9Pn376qen1ORwOPf744yorK9OhQ4dUUFCgzMxMSVKPHj0iUt+XX36pH/7wh7r11ls1ffp0p8c6dOjQYARYYWGhEhMT1bx5c9PrC0akanv11Vc1fvx4vf766w0u8VmhvvT0dF100UW65ZZbdNddd+nBBx80vb4zZ85o8+bNmjhxYu1x46GHHtLnn3+upk2b6sMPPzS1PncyMzN9Pm74LKw9emyqurramDBhgtGpUydj7969DR6v6Xj1xhtv1C7bvXt3QB1id+zYUfvvkUceMVq1amXs2LHDOHnypOn1uTJ+/HivI2oiVd+7775rSDL2799fu6ym0+6ePXtMr69Gfn6+4XA4jH/+859u14l0bbm5uUZmZqbTsqNHjxqSjA0bNphenys33XSTMXjwYI/rhKq+nTt3Gu3btzfuuecel3/n3nvvNfr27eu0bNSoUV47FEeqvrp87VAcydqWLVtmxMfHG2+99ZbXusyor75Zs2YZ3bp1M72+qqoqp2PGjh07jNtvv93o3bu3sWPHDqeRT2bU5052drbxi1/8wuf1fUG4CcDtt99uJCUlGWvXrnUaylZRUVG7zm233WZ07drV+PDDD43NmzcbgwcPbrDj3bdvn7Ft2zbj//7f/2ucd955xrZt24xt27YZZ8+edfl3fR0tFan6lixZYixbtszYtWuXsWvXLuPRRx81YmJijBdffNES9VVVVRmXXHKJMXz4cGPr1q3G5s2bjaysLOPqq6+2RH01pk+fbnTq1Mn473//67GuSNaWl5dnOBwOY9asWcbevXuNLVu2GDk5OUa3bt2c/pZZ9RUVFRnPPfecsWvXLmPbtm3G5MmTjfj4eOPTTz8N++e3Y8cOIyUlxbjxxhudXuP48eO169QMBb/nnnuMXbt2GQsWLPBpKHik6jMMo/YzHTBggHHDDTcY27ZtM7744gvTa3vllVeMpk2bGgsWLHBa5/Tp05b47ObPn2+sXLnS2Lt3r7F3717jhRdeMFq1amXcf//9lqivPl9PECJV39NPP2289dZbxr59+4wdO3YYU6ZMMWJiYowPPvjAa43+INwEQJLLf4sXL65d59tvvzXuuOMOo02bNkZCQoLxi1/8wjh27JjT61x++eUuX+fAgQMu/66v4SZS9S1ZssTo06ePkZCQYCQmJhqZmZlOwwTNrs8wDOObb74xfvnLXxotW7Y0UlNTjZtvvtk4ceKEZeqrqqoyunTpYtx3331eP7dI17Z8+XIjIyPDaNGihZGSkmJcd911xq5duyxRX1FRkXHppZcaLVq0MBISEowf/vCHxieffBKRz2/mzJkuX6P+mfuaNWuM/v37G82aNTN69Ojh9DesUJ8v65hRm7vv3tP8T5Gs79lnnzUuvPDC2v1eRkaG8ac//cnrPC2R/G7r8jXcRKq+xx9/3PjBD35gxMfHG23btjWuuOIK48MPP/Ran78c//9NAQAA2AIdigEAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgAAgK0QbgBEjSuuuEJ33nmn2WUAsDjCDQBbWrt2rRwOR4Mb/QGwP8INAACwFcINAEsqLy/X6NGj1bJlS3Xs2FFz5sxxevyll17SwIED1apVK3Xo0EE33HCDjh8/Lkk6ePCgrrzySklSmzZt5HA4dPPNN0uSqqurNXv2bKWnp6t58+bq16+f3njjjYi+NwDhRbgBYEn33HOPPvroI/3jH//Qe++9p7Vr12rr1q21j587d04PP/ywPv/8c7311ls6ePBgbYBJS0vT3/72N0nSnj17dOzYMT3zzDOSpNmzZ2vp0qVauHChvvjiC91111268cYb9dFHH0X8PQIID26cCcByysrK1K5dO7388sv69a9/LUk6efKkunTpoltvvVVz585t8JzNmzdr0KBBOnPmjFq2bKm1a9fqyiuv1KlTp9S6dWtJ0tmzZ9W2bVt98MEHGjx4cO1zx48fr4qKCi1btiwSbw9AmDU1uwAAqO+rr75SZWWlsrKyape1bdtWvXv3rv3/LVu26MEHH9Tnn3+uU6dOqbq6WpJ0+PBhXXDBBS5fd//+/aqoqNDVV1/ttLyyslIZGRlheCcAzEC4ARB1ysvLlZOTo5ycHL3yyitKSUnR4cOHlZOTo8rKSrfPKysrkyStWrVKnTt3dnosLi4urDUDiBzCDQDL+cEPfqDY2Fh9+umn6tq1qyTp1KlT2rt3ry6//HLt3r1bJ06c0GOPPaa0tDRJ31+WqqtZs2aSpKqqqtplF1xwgeLi4nT48GFdfvnlEXo3ACKNcAPAclq2bKlx48bpnnvuUbt27dS+fXvdf//9ion5fgxE165d1axZM82bN0+33Xabdu7cqYcfftjpNbp16yaHw6G3335bP/nJT9S8eXO1atVKd999t+666y5VV1dr2LBhKikp0YYNG5SYmKgxY8aY8XYBhBijpQBY0hNPPKHLLrtM1157rbKzszVs2DANGDBAkpSSkqIlS5ZoxYoVuuCCC/TYY4/pySefdHp+586dNWvWLE2dOlWpqamaOHGiJOnhhx/WAw88oNmzZ6tPnz760Y9+pFWrVik9PT3i7xFAeDBaCgAA2AotNwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFb+H4hRl8dJsfSoAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Interactive map\n",
        "Use this section to view timeseries in interactive map view.\n",
        "\n",
        "1. set `output_directory_path`, `atoll_name`, `atoll_output_path`.\n",
        ""
      ],
      "metadata": {
        "id": "-nfyeNWfp6bk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install folium\n",
        "import folium\n",
        "import json\n",
        "import os\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.dates as mdates\n",
        "import io\n",
        "import base64"
      ],
      "metadata": {
        "id": "0pGLksMgM576",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 208
        },
        "outputId": "67e08a38-7d17-437d-b739-80a3e61a1d51"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: folium in /usr/local/lib/python3.11/dist-packages (0.19.4)\n",
            "Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.11/dist-packages (from folium) (0.8.1)\n",
            "Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.11/dist-packages (from folium) (3.1.5)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from folium) (1.26.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from folium) (2.32.3)\n",
            "Requirement already satisfied: xyzservices in /usr/local/lib/python3.11/dist-packages (from folium) (2025.1.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2>=2.9->folium) (3.0.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->folium) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->folium) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->folium) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->folium) (2025.1.31)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "output_directory_path = f\"{root}/atoll-vegetation-health\"\n",
        "atoll_name = 'Lae'\n",
        "atoll_output_path = f\"{output_directory_path}/{atoll_name}\"\n",
        "\n",
        "# Load GeoJSON data\n",
        "gdf = gpd.read_file(f\"{atoll_output_path}/atoll.geojson\")\n",
        "\n",
        "gdf.to_crs(4326, inplace=True)\n",
        "gdf['coords'] = gdf['geometry'].apply(lambda geom: geom.centroid.coords[0])\n",
        "\n",
        "coords = (gdf['coords'].iloc[0][-1], gdf['coords'].iloc[0][0])\n",
        "\n",
        "# Load CSV files for each polygon and store them in a dictionary\n",
        "csv_data = {}\n",
        "for file in glob.glob(f'{atoll_output_path}/*.csv'):\n",
        "    polygon_id = os.path.basename(file).split('-')[0]\n",
        "    csv_data[polygon_id] = pd.read_csv(file)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "FY8ZjYmEygoq",
        "outputId": "9358305c-0a74-4e55-ebe1-1a5625700358"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a base map centered on the atoll\n",
        "m = folium.Map(coords,zoom_start=12)\n",
        "\n",
        "# Function to generate and embed time series plot\n",
        "def generate_plot_html(polygon_id):\n",
        "    polygon_id = str(polygon_id)\n",
        "    if polygon_id in csv_data:\n",
        "        df = csv_data[polygon_id]\n",
        "        df['date'] = pd.to_datetime(df['date'])\n",
        "        df = df[df['region_cloudy_percent'] == 0] # remove observations including cloud\n",
        "\n",
        "        fig, ax = plt.subplots()\n",
        "        df.plot(x='date', y='ndvi', title=f\"Island ID: {polygon_id}\", kind='scatter', ax=ax)\n",
        "        years = mdates.YearLocator()\n",
        "        years_fmt = mdates.DateFormatter('%Y')\n",
        "        ax.xaxis.set_major_locator(years)\n",
        "        ax.xaxis.set_major_formatter(years_fmt)\n",
        "\n",
        "        # Save plot to a temporary buffer\n",
        "        buf = io.BytesIO()\n",
        "        plt.savefig(buf, format='png')\n",
        "        buf.seek(0)\n",
        "        data = base64.b64encode(buf.read()).decode('utf-8')\n",
        "        plt.close()  # Close the plot to release resources\n",
        "\n",
        "        # Create HTML for embedded plot\n",
        "        plot_html = f'<img src=\"data:image/png;base64,{data}\">'\n",
        "        return plot_html\n",
        "    else:\n",
        "        return \"No data available for this polygon.\"\n",
        "\n",
        "# Add GeoJSON layer to the map with click event handler\n",
        "for _, row in gdf.iterrows():\n",
        "    polygon_id = row['Id']\n",
        "    plot_html = generate_plot_html(polygon_id)\n",
        "    popup = folium.Popup(plot_html, max_width=750)\n",
        "    folium.Marker(location=[row['coords'][1], row['coords'][0]], popup=popup, tooltip=polygon_id).add_to(m)\n",
        "\n",
        "m # display map."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 912
        },
        "id": "aheIfKLJzP8-",
        "outputId": "5a4745cf-cac2-4018-9999-2c41fd6de43f"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "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",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<folium.folium.Map at 0x7c1d8211bd50>"
            ],
            "text/html": [
              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
              "&lt;html&gt;\n",
              "&lt;head&gt;\n",
              "    \n",
              "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
              "    \n",
              "        &lt;script&gt;\n",
              "            L_NO_TOUCH = false;\n",
              "            L_DISABLE_3D = false;\n",
              "        &lt;/script&gt;\n",
              "    \n",
              "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
              "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap-glyphicons.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
              "    \n",
              "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
              "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
              "            &lt;style&gt;\n",
              "                #map_a6849d0699a3085879bc388ba9a060e1 {\n",
              "                    position: relative;\n",
              "                    width: 100.0%;\n",
              "                    height: 100.0%;\n",
              "                    left: 0.0%;\n",
              "                    top: 0.0%;\n",
              "                }\n",
              "                .leaflet-container { font-size: 1rem; }\n",
              "            &lt;/style&gt;\n",
              "        \n",
              "&lt;/head&gt;\n",
              "&lt;body&gt;\n",
              "    \n",
              "    \n",
              "            &lt;div class=&quot;folium-map&quot; id=&quot;map_a6849d0699a3085879bc388ba9a060e1&quot; &gt;&lt;/div&gt;\n",
              "        \n",
              "&lt;/body&gt;\n",
              "&lt;script&gt;\n",
              "    \n",
              "    \n",
              "            var map_a6849d0699a3085879bc388ba9a060e1 = L.map(\n",
              "                &quot;map_a6849d0699a3085879bc388ba9a060e1&quot;,\n",
              "                {\n",
              "                    center: [8.921513601139434, 166.21906870980615],\n",
              "                    crs: L.CRS.EPSG3857,\n",
              "                    ...{\n",
              "  &quot;zoom&quot;: 12,\n",
              "  &quot;zoomControl&quot;: true,\n",
              "  &quot;preferCanvas&quot;: false,\n",
              "}\n",
              "\n",
              "                }\n",
              "            );\n",
              "\n",
              "            \n",
              "\n",
              "        \n",
              "    \n",
              "            var tile_layer_83f9ac42a4bab76f3eb2327305529c14 = L.tileLayer(\n",
              "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
              "                {\n",
              "  &quot;minZoom&quot;: 0,\n",
              "  &quot;maxZoom&quot;: 19,\n",
              "  &quot;maxNativeZoom&quot;: 19,\n",
              "  &quot;noWrap&quot;: false,\n",
              "  &quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;,\n",
              "  &quot;subdomains&quot;: &quot;abc&quot;,\n",
              "  &quot;detectRetina&quot;: false,\n",
              "  &quot;tms&quot;: false,\n",
              "  &quot;opacity&quot;: 1,\n",
              "}\n",
              "\n",
              "            );\n",
              "        \n",
              "    \n",
              "            tile_layer_83f9ac42a4bab76f3eb2327305529c14.addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "            var marker_88ee2bbb079657b530b77d15b8691955 = L.marker(\n",
              "                [8.921513601139434, 166.21906870980615],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_eb6583a8556066d7d3261c9768e0b978 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_eb0f4dc9a66914af4a824681c7b6417b = $(`&lt;div id=&quot;html_eb0f4dc9a66914af4a824681c7b6417b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_eb6583a8556066d7d3261c9768e0b978.setContent(html_eb0f4dc9a66914af4a824681c7b6417b);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_88ee2bbb079657b530b77d15b8691955.bindPopup(popup_eb6583a8556066d7d3261c9768e0b978)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_88ee2bbb079657b530b77d15b8691955.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     30\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_d2aae6522203de3a787134c3f0158efc = L.marker(\n",
              "                [8.923358182838774, 166.26475675214704],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_2b6baee376ecfad28391841cb367ba8b = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_87813cbd5a9962b2a33a75308d5b4482 = $(`&lt;div id=&quot;html_87813cbd5a9962b2a33a75308d5b4482&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&quot;data:image/png;base64,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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_2b6baee376ecfad28391841cb367ba8b.setContent(html_87813cbd5a9962b2a33a75308d5b4482);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d2aae6522203de3a787134c3f0158efc.bindPopup(popup_2b6baee376ecfad28391841cb367ba8b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_d2aae6522203de3a787134c3f0158efc.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     40\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_b9e7f4e2035f47e396fb81169c582631 = L.marker(\n",
              "                [8.930242102556699, 166.26653068890334],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_c6e3cd57f73df79f831beb3af243c705 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_90d5a000711fc3cec260d28039457dfc = $(`&lt;div id=&quot;html_90d5a000711fc3cec260d28039457dfc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_c6e3cd57f73df79f831beb3af243c705.setContent(html_90d5a000711fc3cec260d28039457dfc);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b9e7f4e2035f47e396fb81169c582631.bindPopup(popup_c6e3cd57f73df79f831beb3af243c705)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_b9e7f4e2035f47e396fb81169c582631.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     50\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_ba7fd364bd1322b66106d3e3966c1abd = L.marker(\n",
              "                [8.940597554779869, 166.2597258513575],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_cf5f8c493e42df475d46bfdc7a949c94 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_acbe157dedbef6715430c3a39da3704c = $(`&lt;div id=&quot;html_acbe157dedbef6715430c3a39da3704c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_cf5f8c493e42df475d46bfdc7a949c94.setContent(html_acbe157dedbef6715430c3a39da3704c);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_ba7fd364bd1322b66106d3e3966c1abd.bindPopup(popup_cf5f8c493e42df475d46bfdc7a949c94)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_ba7fd364bd1322b66106d3e3966c1abd.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     100\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_dc6a50c9a4f1708e62e7d3d4d6d11ed3 = L.marker(\n",
              "                [8.945031705095982, 166.25700904445793],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_6ff11a9d4eaa063179c9ab55fa744c71 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_f6935a6f0aa8c4403fac4f173f3bebc9 = $(`&lt;div id=&quot;html_f6935a6f0aa8c4403fac4f173f3bebc9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_6ff11a9d4eaa063179c9ab55fa744c71.setContent(html_f6935a6f0aa8c4403fac4f173f3bebc9);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_dc6a50c9a4f1708e62e7d3d4d6d11ed3.bindPopup(popup_6ff11a9d4eaa063179c9ab55fa744c71)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_dc6a50c9a4f1708e62e7d3d4d6d11ed3.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     110\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_c7705be4b6a3c91de5a27c4a876dc928 = L.marker(\n",
              "                [8.948015579171148, 166.25355838730505],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_e50e9a93c8073264b6e097838826a3d9 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_6656946571b7fe9c76e0d59e81f46a03 = $(`&lt;div id=&quot;html_6656946571b7fe9c76e0d59e81f46a03&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&quot;data:image/png;base64,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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_e50e9a93c8073264b6e097838826a3d9.setContent(html_6656946571b7fe9c76e0d59e81f46a03);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_c7705be4b6a3c91de5a27c4a876dc928.bindPopup(popup_e50e9a93c8073264b6e097838826a3d9)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_c7705be4b6a3c91de5a27c4a876dc928.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     120\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_15f2e77d536f10376e2c0cd4761e17e2 = L.marker(\n",
              "                [8.950858099200332, 166.24915333677296],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_3a9d1a4d31fdae1ee0868e44e1666cf9 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_237fa62fa9b457c607619be42535456a = $(`&lt;div id=&quot;html_237fa62fa9b457c607619be42535456a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_3a9d1a4d31fdae1ee0868e44e1666cf9.setContent(html_237fa62fa9b457c607619be42535456a);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_15f2e77d536f10376e2c0cd4761e17e2.bindPopup(popup_3a9d1a4d31fdae1ee0868e44e1666cf9)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_15f2e77d536f10376e2c0cd4761e17e2.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     130\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_cf44a73580310caf246a8bc06c05b571 = L.marker(\n",
              "                [8.952210608791155, 166.24698080088558],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_dc2b36c47db1e08498134c08ca676511 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_638a75956eafd83c5fe3efb9fc1bd41e = $(`&lt;div id=&quot;html_638a75956eafd83c5fe3efb9fc1bd41e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_dc2b36c47db1e08498134c08ca676511.setContent(html_638a75956eafd83c5fe3efb9fc1bd41e);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_cf44a73580310caf246a8bc06c05b571.bindPopup(popup_dc2b36c47db1e08498134c08ca676511)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_cf44a73580310caf246a8bc06c05b571.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     140\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_1937e470859a62901ec5729b8d235d81 = L.marker(\n",
              "                [8.955261918318348, 166.24029237836322],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_39ab51ad37526eeee7615cb95b9173f7 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_378cec3b2a4004404c51ccb9fcbc53f5 = $(`&lt;div id=&quot;html_378cec3b2a4004404c51ccb9fcbc53f5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_39ab51ad37526eeee7615cb95b9173f7.setContent(html_378cec3b2a4004404c51ccb9fcbc53f5);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1937e470859a62901ec5729b8d235d81.bindPopup(popup_39ab51ad37526eeee7615cb95b9173f7)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_1937e470859a62901ec5729b8d235d81.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     150\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var marker_4f9ab4e4cfddf3c1d3947be56b0530e3 = L.marker(\n",
              "                [8.96024157939221, 166.22622495052474],\n",
              "                {\n",
              "}\n",
              "            ).addTo(map_a6849d0699a3085879bc388ba9a060e1);\n",
              "        \n",
              "    \n",
              "        var popup_dced7f05c1402a18568adbb349fb43e6 = L.popup({\n",
              "  &quot;maxWidth&quot;: 750,\n",
              "});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0ae219b98b738a068437073d1b403652 = $(`&lt;div id=&quot;html_0ae219b98b738a068437073d1b403652&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img 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&quot;&gt;&lt;/div&gt;`)[0];\n",
              "                popup_dced7f05c1402a18568adbb349fb43e6.setContent(html_0ae219b98b738a068437073d1b403652);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_4f9ab4e4cfddf3c1d3947be56b0530e3.bindPopup(popup_dced7f05c1402a18568adbb349fb43e6)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            marker_4f9ab4e4cfddf3c1d3947be56b0530e3.bindTooltip(\n",
              "                `&lt;div&gt;\n",
              "                     160\n",
              "                 &lt;/div&gt;`,\n",
              "                {\n",
              "  &quot;sticky&quot;: true,\n",
              "}\n",
              "            );\n",
              "        \n",
              "&lt;/script&gt;\n",
              "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "UD5f0K001Nt8"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "oTEcAwjsHexf",
        "4Bmo68seA3zZ"
      ],
      "authorship_tag": "ABX9TyPcYw4o1B5FmL+HrLN/2OZL",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
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