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    "<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/57_cartoee_blend.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) and [cartopy](https://scitools.org.uk/cartopy/docs/latest/installing.html#installing) if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the [notebook example](https://colab.research.google.com/github/giswqs/geemap/blob/master/examples/notebooks/cartoee_colab.ipynb). \n",
    "\n",
    "See below the commands to install cartopy and geemap using conda/mamba:\n",
    "\n",
    "```\n",
    "conda create -n carto python=3.8\n",
    "conda activate carto\n",
    "conda install mamba -c conda-forge\n",
    "mamba install cartopy scipy -c conda-forge\n",
    "mamba install geemap -c conda-forge\n",
    "jupyter notebook\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install cartopy scipy\n",
    "# !pip install geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating publication-quality maps with multiple Earth Engine layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap\n",
    "from geemap import cartoee\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "\n",
    "image = ee.ImageCollection('MODIS/MCD43A4_006_NDVI') \\\n",
    "                  .filter(ee.Filter.date('2018-04-01', '2018-05-01')) \\\n",
    "                  .select(\"NDVI\")\\\n",
    "                  .first()\n",
    "\n",
    "vis_params = {\n",
    "  'min': 0.0,\n",
    "  'max': 1.0,\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",
    "Map.setCenter(-7.03125, 31.0529339857, 2)\n",
    "Map.addLayer(image, vis_params, 'MODIS NDVI')\n",
    "\n",
    "countries = ee.FeatureCollection('users/giswqs/public/countries')\n",
    "style = {\n",
    "    \"color\": \"00000088\",\n",
    "    \"width\": 1,\n",
    "    \"fillColor\": \"00000000\"}\n",
    "Map.addLayer(countries.style(**style), {}, \"Countries\")\n",
    "\n",
    "ndvi = image.visualize(**vis_params)\n",
    "blend = ndvi.blend(countries.style(**style))\n",
    "\n",
    "Map.addLayer(blend, {}, \"Blend\")\n",
    "\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot an image with the default projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# specify region to focus on\n",
    "bbox = [-180, -88, 180, 88]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "\n",
    "# plot the result with cartoee using a PlateCarre projection (default)\n",
    "ax = cartoee.get_map(blend,  region=bbox)\n",
    "cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right')\n",
    "\n",
    "ax.set_title(label='MODIS NDVI', fontsize = 15)\n",
    "\n",
    "# ax.coastlines()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot an image with a different projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "\n",
    "projection = ccrs.EqualEarth(central_longitude=-180)\n",
    "\n",
    "# plot the result with cartoee using a PlateCarre projection (default)\n",
    "ax = cartoee.get_map(blend,  region=bbox, proj=projection)\n",
    "cb = cartoee.add_colorbar(ax, vis_params=vis_params, loc='right')\n",
    "\n",
    "ax.set_title(label='MODIS NDVI', fontsize=15)\n",
    "\n",
    "# ax.coastlines()\n",
    "plt.show()"
   ]
  }
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