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    "<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/25_load_rasters.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": [
    "To follow this tutorial, you need to install the [geemap] and [xarray_leaflet](https://github.com/davidbrochart/xarray_leaflet/tree/master/xarray_leaflet) Python packages. Use the following conda commands to create a conda env and install packages:\n",
    "\n",
    "- `conda create -n gee python`\n",
    "- `conda activate gee`\n",
    "- `conda install mamba -c conda-forge`\n",
    "- `mamba install geemap xarray_leaflet -c conda-forge`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify input raster datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_dir = os.path.expanduser('~/Downloads')\n",
    "\n",
    "if not os.path.exists(out_dir):\n",
    "    os.makedirs(out_dir)\n",
    "\n",
    "landsat = os.path.join(out_dir, 'landsat.tif')\n",
    "dem = os.path.join(out_dir, 'dem.tif')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download samples raster datasets\n",
    "\n",
    "More datasets can be downloaded from https://viewer.nationalmap.gov/basic/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.exists(landsat):\n",
    "    landsat_url = 'https://drive.google.com/file/d/1EV38RjNxdwEozjc9m0FcO3LFgAoAX1Uw/view?usp=sharing'\n",
    "    geemap.download_from_gdrive(landsat_url, 'landsat.tif', out_dir, unzip=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.exists(dem):\n",
    "    dem_url = 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing'\n",
    "    geemap.download_from_gdrive(dem_url, 'dem.tif', out_dir, unzip=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add local raster datasets to the map\n",
    "\n",
    "More colormap can be found at https://matplotlib.org/3.1.0/tutorials/colors/colormaps.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.add_raster(dem, colormap='terrain', layer_name='DEM')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.add_raster(landsat, bands=[5, 4, 3], layer_name='Landsat')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map"
   ]
  }
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