LeafMapNetCDF.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyO8by1xTCDG3wX0pCxWCOBk",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NodiraTillayeva/ERA5Analysis/blob/main/LeafMapNetCDF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CGsBHIV_BVG0",
        "outputId": "4c6535a6-c634-44c2-8279-d325ebd177c5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: jsonschema\n",
            "  Attempting uninstall: jsonschema\n",
            "    Found existing installation: jsonschema 4.17.3\n",
            "    Uninstalling jsonschema-4.17.3:\n",
            "      Successfully uninstalled jsonschema-4.17.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires fastapi, which is not installed.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "lida 0.0.10 requires python-multipart, which is not installed.\n",
            "flask-restx 1.2.0 requires jsonschema<=4.17.3, but you have jsonschema 4.20.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed jsonschema-4.20.0\n"
          ]
        }
      ],
      "source": [
        "# Step 1: Install necessary libraries\n",
        "!pip install leafmap xarray folium rioxarray"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install \"werkzeug<3.0.0,!=2.0.0\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uulZ76zTC87N",
        "outputId": "09ccf2dd-bfcf-4904-c88b-26cbe4129b45"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install localtileserver"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gf4QzZtRCVF-",
        "outputId": "0b8254b8-90c7-4b74-cc69-d086b4b00086"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: localtileserver in /usr/local/lib/python3.10/dist-packages (0.7.2)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from localtileserver) (8.1.7)\n",
            "Requirement already satisfied: flask<3,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from localtileserver) (2.2.5)\n",
            "Requirement already satisfied: Flask-Caching in /usr/local/lib/python3.10/dist-packages (from localtileserver) (2.1.0)\n",
            "Requirement already satisfied: flask-cors in /usr/local/lib/python3.10/dist-packages (from localtileserver) (4.0.0)\n",
            "Requirement already satisfied: flask-restx>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from localtileserver) (1.2.0)\n",
            "Requirement already satisfied: large-image[rasterio]>=1.22.2 in /usr/local/lib/python3.10/dist-packages (from localtileserver) (1.26.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from localtileserver) (2.31.0)\n",
            "Requirement already satisfied: server-thread in /usr/local/lib/python3.10/dist-packages (from localtileserver) (0.2.0)\n",
            "Requirement already satisfied: scooby in /usr/local/lib/python3.10/dist-packages (from localtileserver) (0.9.2)\n",
            "Requirement already satisfied: werkzeug in /usr/local/lib/python3.10/dist-packages (from localtileserver) (2.3.8)\n",
            "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from flask<3,>=2.0.0->localtileserver) (3.1.2)\n",
            "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from flask<3,>=2.0.0->localtileserver) (2.1.2)\n",
            "Requirement already satisfied: aniso8601>=0.82 in /usr/local/lib/python3.10/dist-packages (from flask-restx>=0.5.0->localtileserver) (9.0.1)\n",
            "Collecting jsonschema<=4.17.3 (from flask-restx>=0.5.0->localtileserver)\n",
            "  Using cached jsonschema-4.17.3-py3-none-any.whl (90 kB)\n",
            "Requirement already satisfied: pytz in /usr/local/lib/python3.10/dist-packages (from flask-restx>=0.5.0->localtileserver) (2023.3.post1)\n",
            "Requirement already satisfied: importlib-resources in /usr/local/lib/python3.10/dist-packages (from flask-restx>=0.5.0->localtileserver) (6.1.1)\n",
            "Requirement already satisfied: cachetools in /usr/local/lib/python3.10/dist-packages (from large-image[rasterio]>=1.22.2->localtileserver) (5.3.2)\n",
            "Requirement already satisfied: palettable in /usr/local/lib/python3.10/dist-packages (from large-image[rasterio]>=1.22.2->localtileserver) (3.3.3)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from large-image[rasterio]>=1.22.2->localtileserver) (9.4.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from large-image[rasterio]>=1.22.2->localtileserver) (1.23.5)\n",
            "Requirement already satisfied: large-image-source-rasterio>=1.26.1 in /usr/local/lib/python3.10/dist-packages (from large-image[rasterio]>=1.22.2->localtileserver) (1.26.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug->localtileserver) (2.1.3)\n",
            "Requirement already satisfied: cachelib<0.10.0,>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from Flask-Caching->localtileserver) (0.9.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->localtileserver) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->localtileserver) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->localtileserver) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->localtileserver) (2023.7.22)\n",
            "Requirement already satisfied: uvicorn in /usr/local/lib/python3.10/dist-packages (from server-thread->localtileserver) (0.24.0.post1)\n",
            "Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema<=4.17.3->flask-restx>=0.5.0->localtileserver) (23.1.0)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema<=4.17.3->flask-restx>=0.5.0->localtileserver) (0.20.0)\n",
            "Requirement already satisfied: rasterio>=1.3 in /usr/local/lib/python3.10/dist-packages (from large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (1.3.9)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (23.2)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.10/dist-packages (from uvicorn->server-thread->localtileserver) (0.14.0)\n",
            "Requirement already satisfied: typing-extensions>=4.0 in /usr/local/lib/python3.10/dist-packages (from uvicorn->server-thread->localtileserver) (4.5.0)\n",
            "Requirement already satisfied: affine in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (2.4.0)\n",
            "Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (0.7.2)\n",
            "Requirement already satisfied: snuggs>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (1.4.7)\n",
            "Requirement already satisfied: click-plugins in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (1.1.1)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (67.7.2)\n",
            "Requirement already satisfied: pyparsing>=2.1.6 in /usr/local/lib/python3.10/dist-packages (from snuggs>=1.4.1->rasterio>=1.3->large-image-source-rasterio>=1.26.1->large-image[rasterio]>=1.22.2->localtileserver) (3.1.1)\n",
            "Installing collected packages: jsonschema\n",
            "  Attempting uninstall: jsonschema\n",
            "    Found existing installation: jsonschema 4.20.0\n",
            "    Uninstalling jsonschema-4.20.0:\n",
            "      Successfully uninstalled jsonschema-4.20.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires fastapi, which is not installed.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "lida 0.0.10 requires python-multipart, which is not installed.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed jsonschema-4.17.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Import necessary libraries\n",
        "import leafmap.foliumap as leafmap\n",
        "import xarray as xr\n",
        "import rioxarray\n",
        "import localtileserver  # Import localtileserver\n",
        "import tempfile"
      ],
      "metadata": {
        "id": "yEdTj0bnBfPo"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ds = xr.open_dataset('/content/highVeg.nc')"
      ],
      "metadata": {
        "id": "zPm552z7Bh3f"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "variable = 'lai_hv'  # replace with your variable name"
      ],
      "metadata": {
        "id": "rgX0_ZXEBqTX"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert the selected data to a raster format using rioxarray\n",
        "data_to_plot = ds[variable]\n",
        "data_to_plot = data_to_plot.rio.write_crs(\"epsg:4326\")"
      ],
      "metadata": {
        "id": "mOZrnnwWB5UX"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Save the data to a TIFF file\n",
        "tiff_filename = \"output.tif\"\n",
        "data_to_plot.rio.to_raster(tiff_filename)"
      ],
      "metadata": {
        "id": "aGF1ySWxCPaX"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a Leafmap Map\n",
        "m = leafmap.Map()"
      ],
      "metadata": {
        "id": "bJQr1MWRBlCg"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!apt-get install memcached\n",
        "!pip install python-memcached"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hWyaoyEYDoCM",
        "outputId": "97cdd3b6-126c-4fe7-f269-fe4f0af7daa6"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "Suggested packages:\n",
            "  libanyevent-perl libcache-memcached-perl libmemcached libterm-readkey-perl libyaml-perl\n",
            "The following NEW packages will be installed:\n",
            "  memcached\n",
            "0 upgraded, 1 newly installed, 0 to remove and 10 not upgraded.\n",
            "Need to get 210 kB of archives.\n",
            "After this operation, 609 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 memcached amd64 1.6.14-1ubuntu0.1 [210 kB]\n",
            "Fetched 210 kB in 1s (246 kB/s)\n",
            "Selecting previously unselected package memcached.\n",
            "(Reading database ... 120880 files and directories currently installed.)\n",
            "Preparing to unpack .../memcached_1.6.14-1ubuntu0.1_amd64.deb ...\n",
            "Unpacking memcached (1.6.14-1ubuntu0.1) ...\n",
            "Setting up memcached (1.6.14-1ubuntu0.1) ...\n",
            "invoke-rc.d: could not determine current runlevel\n",
            "invoke-rc.d: policy-rc.d denied execution of start.\n",
            "Created symlink /etc/systemd/system/multi-user.target.wants/memcached.service → /lib/systemd/system/memcached.service.\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Collecting python-memcached\n",
            "  Downloading python_memcached-1.59-py2.py3-none-any.whl (16 kB)\n",
            "Requirement already satisfied: six>=1.4.0 in /usr/local/lib/python3.10/dist-packages (from python-memcached) (1.16.0)\n",
            "Installing collected packages: python-memcached\n",
            "Successfully installed python-memcached-1.59\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Add the TIFF layer to the map\n",
        "m.add_raster('/content/output.tif', layer_name=variable, colormap=\"viridis\")"
      ],
      "metadata": {
        "id": "UpYtezjxBoip"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install rasterio"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JCDUMCg0Gw-d",
        "outputId": "eea08530-ec04-4fe8-915d-8826ea09f9ac"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: rasterio in /usr/local/lib/python3.10/dist-packages (1.3.9)\n",
            "Requirement already satisfied: affine in /usr/local/lib/python3.10/dist-packages (from rasterio) (2.4.0)\n",
            "Requirement already satisfied: attrs in /usr/local/lib/python3.10/dist-packages (from rasterio) (23.1.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from rasterio) (2023.7.22)\n",
            "Requirement already satisfied: click>=4.0 in /usr/local/lib/python3.10/dist-packages (from rasterio) (8.1.7)\n",
            "Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.10/dist-packages (from rasterio) (0.7.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from rasterio) (1.23.5)\n",
            "Requirement already satisfied: snuggs>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from rasterio) (1.4.7)\n",
            "Requirement already satisfied: click-plugins in /usr/local/lib/python3.10/dist-packages (from rasterio) (1.1.1)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from rasterio) (67.7.2)\n",
            "Requirement already satisfied: pyparsing>=2.1.6 in /usr/local/lib/python3.10/dist-packages (from snuggs>=1.4.1->rasterio) (3.1.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import rasterio\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Open the TIFF file\n",
        "with rasterio.open('/content/output.tif') as src:\n",
        "    # Read the first band\n",
        "    band1 = src.read(1)\n",
        "\n",
        "    # Show basic information about the raster\n",
        "    print(f\"Width: {src.width}, Height: {src.height}\")\n",
        "    print(f\"CRS: {src.crs}\")\n",
        "    print(f\"Bounds: {src.bounds}\")\n",
        "\n",
        "    # Plotting the first band\n",
        "    plt.imshow(band1, cmap='viridis')\n",
        "    plt.colorbar()\n",
        "    plt.title('Band 1')\n",
        "    plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478
        },
        "id": "ZrCXGltbG5H9",
        "outputId": "f0de6450-f2c5-4b2f-b13e-62c70805d0ea"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Width: 172, Height: 85\n",
            "CRS: EPSG:4326\n",
            "Bounds: BoundingBox(left=55.94000169408252, bottom=37.130000296093165, right=73.13999632227491, top=45.6300018401373)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import leafmap.foliumap as leafmap\n",
        "\n",
        "# Create a Leafmap map with specific center and zoom\n",
        "m = leafmap.Map(center=[50, 50], zoom=10)  # Replace 'lat' and 'lon' with the coordinates relevant to your raster\n",
        "\n",
        "try:\n",
        "    m.add_raster('/content/output.tif', layer_name=\"asd Layer\")\n",
        "except Exception as e:\n",
        "    print(f\"Error adding raster to map: {e}\")\n",
        "\n",
        "# Display the map\n",
        "m"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "aknmiA4MHfUk",
        "outputId": "a53d7845-0bab-4dec-ed73-a6e3573f7b64"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<leafmap.foliumap.Map at 0x7a0c02a7bbe0>"
            ],
            "text/html": [
              "<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-1.12.4.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.min.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_076bd58a5d6b1c0e7fefa0e2dd5414b9 {\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;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css&quot;/&gt;\n",
              "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.css&quot;/&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.css&quot;/&gt;\n",
              "    &lt;script src=&quot;https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.css&quot;/&gt;\n",
              "&lt;/head&gt;\n",
              "&lt;body&gt;\n",
              "    \n",
              "    \n",
              "            &lt;div class=&quot;folium-map&quot; id=&quot;map_076bd58a5d6b1c0e7fefa0e2dd5414b9&quot; &gt;&lt;/div&gt;\n",
              "        \n",
              "&lt;/body&gt;\n",
              "&lt;script&gt;\n",
              "    \n",
              "    \n",
              "            var map_076bd58a5d6b1c0e7fefa0e2dd5414b9 = L.map(\n",
              "                &quot;map_076bd58a5d6b1c0e7fefa0e2dd5414b9&quot;,\n",
              "                {\n",
              "                    center: [50.0, 50.0],\n",
              "                    crs: L.CRS.EPSG3857,\n",
              "                    zoom: 10,\n",
              "                    zoomControl: true,\n",
              "                    preferCanvas: false,\n",
              "                    drawExport: false,\n",
              "                    layersControl: true,\n",
              "                }\n",
              "            );\n",
              "            L.control.scale().addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "\n",
              "            \n",
              "\n",
              "        \n",
              "    \n",
              "            var tile_layer_9d2e8d7e3e399d22d7b64fe517da0950 = L.tileLayer(\n",
              "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
              "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 24, &quot;maxZoom&quot;: 24, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
              "            ).addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "        \n",
              "    \n",
              "            L.control.fullscreen(\n",
              "                {&quot;forceSeparateButton&quot;: false, &quot;position&quot;: &quot;topleft&quot;, &quot;title&quot;: &quot;Full Screen&quot;, &quot;titleCancel&quot;: &quot;Exit Full Screen&quot;}\n",
              "            ).addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "        \n",
              "    \n",
              "            var options = {\n",
              "              position: &quot;topleft&quot;,\n",
              "              draw: {},\n",
              "              edit: {},\n",
              "            }\n",
              "            // FeatureGroup is to store editable layers.\n",
              "            var drawnItems = new L.featureGroup().addTo(\n",
              "                map_076bd58a5d6b1c0e7fefa0e2dd5414b9\n",
              "            );\n",
              "            options.edit.featureGroup = drawnItems;\n",
              "            var draw_control_8dff531ec0e19fefc8fcbbfd7dc9693d = new L.Control.Draw(\n",
              "                options\n",
              "            ).addTo( map_076bd58a5d6b1c0e7fefa0e2dd5414b9 );\n",
              "            map_076bd58a5d6b1c0e7fefa0e2dd5414b9.on(L.Draw.Event.CREATED, function(e) {\n",
              "                var layer = e.layer,\n",
              "                    type = e.layerType;\n",
              "                var coords = JSON.stringify(layer.toGeoJSON());\n",
              "                layer.on(&#x27;click&#x27;, function() {\n",
              "                    alert(coords);\n",
              "                    console.log(coords);\n",
              "                });\n",
              "                drawnItems.addLayer(layer);\n",
              "             });\n",
              "            map_076bd58a5d6b1c0e7fefa0e2dd5414b9.on(&#x27;draw:created&#x27;, function(e) {\n",
              "                drawnItems.addLayer(e.layer);\n",
              "            });\n",
              "            \n",
              "        \n",
              "    \n",
              "            var measure_control_c2166581c8709f3fc8a5bba0e3630c76 = new L.Control.Measure(\n",
              "                {&quot;position&quot;: &quot;bottomleft&quot;, &quot;primaryAreaUnit&quot;: &quot;sqmeters&quot;, &quot;primaryLengthUnit&quot;: &quot;meters&quot;, &quot;secondaryAreaUnit&quot;: &quot;acres&quot;, &quot;secondaryLengthUnit&quot;: &quot;miles&quot;});\n",
              "            map_076bd58a5d6b1c0e7fefa0e2dd5414b9.addControl(measure_control_c2166581c8709f3fc8a5bba0e3630c76);\n",
              "\n",
              "        \n",
              "    \n",
              "            L.Control.geocoder(\n",
              "                {&quot;collapsed&quot;: true, &quot;defaultMarkGeocode&quot;: true, &quot;position&quot;: &quot;topleft&quot;}\n",
              "            ).on(&#x27;markgeocode&#x27;, function(e) {\n",
              "                map_076bd58a5d6b1c0e7fefa0e2dd5414b9.setView(e.geocode.center, 11);\n",
              "            }).addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "\n",
              "        \n",
              "    \n",
              "            map_076bd58a5d6b1c0e7fefa0e2dd5414b9.fitBounds(\n",
              "                [[50, 50], [50, 50]],\n",
              "                {&quot;maxZoom&quot;: 10}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var tile_layer_a516d0a7508679798a998cf4b4d19b3a = L.tileLayer(\n",
              "                &quot;http://localhost:34727/api/tiles/{z}/{x}/{y}.png?\\u0026filename=%2Fcontent%2Foutput.tif\\u0026n_colors=255\\u0026projection=EPSG%3A3857&quot;,\n",
              "                {&quot;attribution&quot;: &quot;Raster file served by \\u003ca href=\\u0027https://github.com/banesullivan/localtileserver\\u0027 target=\\u0027_blank\\u0027\\u003elocaltileserver\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 100, &quot;maxZoom&quot;: 100, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;showLoading&quot;: false, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
              "            ).addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "        \n",
              "    \n",
              "            map_076bd58a5d6b1c0e7fefa0e2dd5414b9.fitBounds(\n",
              "                [[37.130000296093165, 55.94000169408252], [45.6300018401373, 73.13999632227491]],\n",
              "                {}\n",
              "            );\n",
              "        \n",
              "    \n",
              "            var layer_control_c276b9d728c644e0714d2acf8b4806d8 = {\n",
              "                base_layers : {\n",
              "                    &quot;openstreetmap&quot; : tile_layer_9d2e8d7e3e399d22d7b64fe517da0950,\n",
              "                },\n",
              "                overlays :  {\n",
              "                    &quot;asd Layer&quot; : tile_layer_a516d0a7508679798a998cf4b4d19b3a,\n",
              "                },\n",
              "            };\n",
              "            L.control.layers(\n",
              "                layer_control_c276b9d728c644e0714d2acf8b4806d8.base_layers,\n",
              "                layer_control_c276b9d728c644e0714d2acf8b4806d8.overlays,\n",
              "                {&quot;autoZIndex&quot;: true, &quot;collapsed&quot;: true, &quot;position&quot;: &quot;topright&quot;}\n",
              "            ).addTo(map_076bd58a5d6b1c0e7fefa0e2dd5414b9);\n",
              "        \n",
              "&lt;/script&gt;\n",
              "&lt;/html&gt;\" width=\"100%\" height=\"600\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    }
  ]
}