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    "To follow this tutorial, you will need to [sign up](https://datapane.com/accounts/signup/) for an account with <https://datapane.com>, then install and authenticate the `datapane` Python package. More information can be found [here](https://docs.datapane.com/tutorials/tut-getting-started). \n",
    "\n",
    "- `pip install datapane`\n",
    "- `datapane login`\n",
    "- `datapane ping`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee \n",
    "import geemap.eefolium as geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "# Create a map centered at (lat, lon).\n",
    "Map = geemap.Map(center=[40, -100], zoom=4)\n",
    "\n",
    "# Use an elevation dataset and terrain functions to create\n",
    "# a custom visualization of topography.\n",
    "\n",
    "# Load a global elevation image.\n",
    "elev = ee.Image('USGS/GMTED2010')\n",
    "\n",
    "# Zoom to an area of interest.\n",
    "Map.setCenter(-121.069, 50.709, 6)\n",
    "\n",
    "# Add the elevation to the map.\n",
    "Map.addLayer(elev, {}, 'elev')\n",
    "\n",
    "# Use the terrain algorithms to compute a hillshade with 8-bit values.\n",
    "shade = ee.Terrain.hillshade(elev)\n",
    "Map.addLayer(shade, {}, 'hillshade', False)\n",
    "\n",
    "# Create a \"sea\" variable to be used for cartographic purposes\n",
    "sea = elev.lte(0)\n",
    "Map.addLayer(sea.mask(sea), {'palette':'000022'}, 'sea', False)\n",
    "\n",
    "# Create a custom elevation palette from hex strings.\n",
    "elevationPalette = ['006600', '002200', 'fff700', 'ab7634', 'c4d0ff', 'ffffff']\n",
    "# Use these visualization parameters, customized by location.\n",
    "visParams = {'min': 1, 'max': 3000, 'palette': elevationPalette}\n",
    "\n",
    "# Create a mosaic of the sea and the elevation data\n",
    "visualized = ee.ImageCollection([\n",
    "  # Mask the elevation to get only land\n",
    "  elev.mask(sea.Not()).visualize(**visParams),\n",
    "  # Use the sea mask directly to display sea.\n",
    "  sea.mask(sea).visualize(**{'palette':'000022'})\n",
    "]).mosaic()\n",
    "\n",
    "# Note that the visualization image doesn't require visualization parameters.\n",
    "Map.addLayer(visualized, {}, 'elev palette', False)\n",
    "\n",
    "# Convert the visualized elevation to HSV, first converting to [0, 1] data.\n",
    "hsv = visualized.divide(255).rgbToHsv()\n",
    "# Select only the hue and saturation bands.\n",
    "hs = hsv.select(0, 1)\n",
    "# Convert the hillshade to [0, 1] data, as expected by the HSV algorithm.\n",
    "v = shade.divide(255)\n",
    "# Create a visualization image by converting back to RGB from HSV.\n",
    "# Note the cast to byte in order to export the image correctly.\n",
    "rgb = hs.addBands(v).hsvToRgb().multiply(255).byte()\n",
    "Map.addLayer(rgb, {}, 'styled')\n",
    "\n",
    "states = ee.FeatureCollection('TIGER/2018/States')\n",
    "Map.addLayer(ee.Image().paint(states, 0, 2), {}, \"US States\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "# Add layer control to the map.\n",
    "Map.setControlVisibility()\n",
    "# Display the map.\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.publish(name='gee_folium_map', headline='Terrain Visualization', visibility='PUBLIC', overwrite=True)"
   ]
  }
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