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    "<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/34_extract_values.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
    "\n",
    "Uncomment the following line to install [geemap](https://geemap.org) if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interactive extraction of pixel values and interactive region reduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive extraction of pixel values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add data to the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \\\n",
    "    .select([0, 1, 2, 3, 4, 6])\n",
    "landsat_vis = {\n",
    "    'bands': ['B4', 'B3', 'B2'], \n",
    "    'gamma': 1.4\n",
    "}\n",
    "Map.addLayer(landsat7, landsat_vis, \"LE7_TOA_5YEAR/1999_2003\")\n",
    "\n",
    "Map.set_plot_options(add_marker_cluster=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Activate the plotting tool\n",
    "\n",
    "Tick the `Plotting` checkbox and click the mouse on the map to start displaying charts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Export pixel values to shapefile/csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_dir = os.path.join(os.path.expanduser('~'), 'Downloads')\n",
    "# out_csv = os.path.join(out_dir, 'points.csv')\n",
    "out_shp = os.path.join(out_dir, 'points.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.extract_values_to_points(out_shp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive Region Reduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = geemap.Map()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add add to the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "collection = ee.ImageCollection('MODIS/006/MOD13A2') \\\n",
    "    .filterDate('2015-01-01', '2019-12-31') \\\n",
    "    .select('NDVI')\n",
    "\n",
    "# Convert the image collection to an image.\n",
    "image = collection.toBands()\n",
    "\n",
    "ndvi_vis = {\n",
    "  'min': 0.0,\n",
    "  'max': 9000.0,\n",
    "  'palette': [\n",
    "    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',\n",
    "    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',\n",
    "    '012E01', '011D01', '011301'\n",
    "  ]\n",
    "}\n",
    "\n",
    "m.addLayer(image, {}, 'MODIS NDVI Time-series')\n",
    "m.addLayer(image.select(0), ndvi_vis, 'MODIS NDVI VIS')\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set reducer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.set_plot_options(add_marker_cluster=True, marker=None)\n",
    "m.roi_reducer = ee.Reducer.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Export data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_dir = os.path.join(os.path.expanduser('~'), 'Downloads')\n",
    "# out_csv = os.path.join(out_dir, 'points.csv')\n",
    "out_shp = os.path.join(out_dir, 'ndvi.shp')\n",
    "m.extract_values_to_points(out_shp)"
   ]
  }
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