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   "cell_type": "markdown",
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   "source": [
    "<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/43_extract_values_to_points.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": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Upgrade geemap to the latest version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# geemap.update_package()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Earth Engine dataset\n",
    "dem = ee.Image('USGS/SRTMGL1_003')\n",
    "landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')\n",
    "\n",
    "# Set visualization parameters.\n",
    "vis_params = {\n",
    "  'min': 0,\n",
    "  'max': 4000,\n",
    "  'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}\n",
    "\n",
    "# Add Earth Eninge layers to Map\n",
    "Map.addLayer(landsat7, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200}, 'Landsat 7')\n",
    "Map.addLayer(dem, vis_params, 'SRTM DEM', True, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download sample data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "work_dir = os.path.expanduser('~/Downloads')\n",
    "in_shp = os.path.join(work_dir, 'us_cities.shp')\n",
    "if not os.path.exists(in_shp):\n",
    "    data_url = 'https://github.com/giswqs/data/raw/main/us/us_cities.zip'\n",
    "    geemap.download_from_url(data_url, out_dir=work_dir )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "in_fc = geemap.shp_to_ee(in_shp)\n",
    "Map.addLayer(in_fc, {}, 'Cities')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Export pixel values as a shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_shp = os.path.join(work_dir, 'dem.shp')\n",
    "geemap.extract_values_to_points(in_fc, dem, out_shp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Export pixel values as a csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_csv = os.path.join(work_dir, 'landsat.csv')\n",
    "geemap.extract_values_to_points(in_fc, landsat7, out_csv)"
   ]
  }
 ],
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