Calcuate NDVI and export images from Earth Engine

NDVI.ipynb

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      "metadata": {
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      "cell_type": "code",
      "source": "import ee\nimport geemap",
      "execution_count": 1,
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      "cell_type": "code",
      "source": "Map = geemap.Map()\nMap",
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          "data": {
            "text/plain": "Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…",
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    {
      "metadata": {
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      "cell_type": "code",
      "source": "point = ee.Geometry.Point(-122.1899, 37.5010)",
      "execution_count": 3,
      "outputs": []
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    {
      "metadata": {
        "trusted": true
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      "cell_type": "code",
      "source": "Map.addLayer(point, {}, 'ROI')\nMap.centerObject(point, 8)",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "images = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA') \\\n    .filterBounds(point) \\\n    .filterDate('2019-01-01', '2019-12-31') \\\n    .sort('CLOUD_COVER') \\\n    .limit(5)",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "print(images.size().getInfo())",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": "5\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "first_image = images.first()\nvis_params = {\n  'bands': ['B5', 'B4', 'B3'],\n  'min': 0,\n  'max': 0.5,\n  'gamma': [0.95, 1.1, 1]\n}\nMap.addLayer(first_image, vis_params, 'first image')",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def cal_ndvi(img):\n    return img.normalizedDifference(['B5', 'B4'])",
      "execution_count": 18,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ndvi_images = images.map(cal_ndvi)",
      "execution_count": 19,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "first_ndvi = ndvi_images.first()\n\nndvi_vis = {\n    'min': 0, \n    'max': 1,\n    'palette': [\n      'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718',\n      '74A901', '66A000', '529400', '3E8601', '207401', '056201',\n      '004C00', '023B01', '012E01', '011D01', '011301']\n}\n\nMap.addLayer(first_ndvi, ndvi_vis, 'first NDVI')",
      "execution_count": 21,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "geemap.ee_export_image_collection_to_drive(ndvi_images, scale=100)",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": "Total number of images: 5\n\nExporting LC08_044034_20190924 ...\nExporting LC08_044034_20191010 ...\nExporting LC08_044034_20190316 ...\nExporting LC08_044034_20191026 ...\nExporting LC08_044034_20190706 ...\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
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      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
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