Exercise_04_Zonal_statistics_using_Satellite_Imageries.ipynb

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        "outputId": "b6f0233a-8547-47ac-b7c1-5523306fcf8b"
      },
      "execution_count": 4,
      "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",
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map(center=[0, 0], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=SearchDataGUI(childr…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "46219b6ac44b4be89ba28ce45928ea68"
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                "custom_widget_manager": {
                  "url": "https://ssl.gstatic.com/colaboratory-static/widgets/colab-cdn-widget-manager/2b70e893a8ba7c0f/manager.min.js"
                }
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    {
      "cell_type": "code",
      "source": [
        "import os"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "GT1WpvPpqoNi",
        "outputId": "ecb32516-873b-4e96-f21d-36dc06c64403"
      },
      "execution_count": 5,
      "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",
              "            "
            ]
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          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **What is Import OS???**\n",
        "The OS module in Python provides functions for interacting with the operating system. OS comes under Python’s standard utility modules. This module provides a portable way of using operating system-dependent functionality.\n",
        "\n",
        "https://www.geeksforgeeks.org/os-module-python-examples/\n",
        "https://www.youtube.com/watch?v=xQ7caEk8-5I"
      ],
      "metadata": {
        "id": "x_WcEWQarh_1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "modis = ee.ImageCollection(\"MODIS/006/MOD44B\")\n",
        "visualization = {\n",
        "  'bands': ['Percent_Tree_Cover'],\n",
        "  'min': 0,\n",
        "  'max': 100,\n",
        "  'palette': ['bbe029', '0a9501', '074b03']\n",
        "};\n",
        "m.addLayer(modis, visualization, 'Percent Tree Cover')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "XjIG51F-qoQW",
        "outputId": "03095910-f62a-47ad-dccd-1e5b925180dd"
      },
      "execution_count": 8,
      "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",
              "            "
            ]
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          "metadata": {}
        }
      ]
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          "height": 621,
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          ]
        },
        "id": "c9Fym2owqoUI",
        "outputId": "880ed235-75f3-471f-ea14-14ff89fd75ae"
      },
      "execution_count": 9,
      "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": "display_data",
          "data": {
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      "source": [
        "districts = ee.FeatureCollection('projects/ee-aravinthraja/assets/India_districts')\n",
        "m.addLayer(districts,{},'districts')"
      ],
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        "colab": {
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        "India_vegetation = ee.ImageCollection(\"MODIS/006/MOD44B\").filterDate(\"2019-01-01\",\"2019-12-31\").select('Percent_Tree_Cover').mean().clip(districts)\n",
        "m.addLayer(India_vegetation,visualization,'India_vegetation')\n",
        "m"
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        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
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              "                    --jp-layout-color2: #454545;\n",
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              "\n",
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              "                    --jp-layout-color3: #383838;\n",
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              "\n",
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              "                    background-color: var(--colab-primary-surface-color, white);\n",
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              "\n",
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    {
      "cell_type": "code",
      "source": [
        "out_dir = os.path.join(os.path.expanduser(\"~\"), \"Downloads\")\n",
        "out_NDVI_stats = os.path.join(out_dir, \"NDVI_SAMPLE.csv\")\n",
        "\n",
        "if not os.path.exists(out_dir):\n",
        "    os.makedirs(out_dir)\n",
        "\n",
        "# Allowed output formats: csv, shp, json, kml, kmz\n",
        "# Allowed statistics type: MEAN, MAXIMUM, MINIMUM, MEDIAN, STD, MIN_MAX, VARIANCE, SUM\n",
        "geemap.zonal_stats(India_vegetation, districts, out_NDVI_stats, stat_type=\"MEAN\", scale=250)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 104
        },
        "id": "-7GMNDhoqoZ-",
        "outputId": "f1decfd0-66c6-4fa8-e7e1-c2f3b8c0515a"
      },
      "execution_count": 22,
      "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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              "            "
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          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-aravinthraja/tables/f7f8f4ce00c0566cb3f27328d87fe8dc-12398c4e0da57f22afc9bdf3d1082688:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /root/Downloads/NDVI_SAMPLE.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "8vHbD4Ob-IUD"
      },
      "execution_count": null,
      "outputs": []
    },
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      "cell_type": "code",
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      "metadata": {
        "id": "kKFbAxA9-IYk"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}