Visualization/image_color_ramp.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
        "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/earthengine-py-notebooks/tree/master/Visualization/image_color_ramp.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
        "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Visualization/image_color_ramp.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
        "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Visualization/image_color_ramp.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Install Earth Engine API and geemap\n",
        "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
        "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "# Installs geemap package\n",
        "import subprocess\n",
        "\n",
        "try:\n",
        "    import geemap\n",
        "except ImportError:\n",
        "    print('Installing geemap ...')\n",
        "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
      ],
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "import ee\n",
        "import geemap"
      ],
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Create an interactive map \n",
        "The default basemap is `Google Maps`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/basemaps.py) can be added using the `Map.add_basemap()` function. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "Map = geemap.Map(center=[40,-100], zoom=4)\n",
        "Map"
      ],
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Add Earth Engine Python script "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "# Add Earth Engine dataset\n",
        "# Load SRTM Digital Elevation Model data.\n",
        "image = ee.Image('CGIAR/SRTM90_V4');\n",
        "\n",
        "# Define an SLD style of discrete intervals to apply to the image.\n",
        "sld_intervals = \\\n",
        "  '<RasterSymbolizer>' + \\\n",
        "    '<ColorMap  type=\"intervals\" extended=\"false\" >' + \\\n",
        "      '<ColorMapEntry color=\"#0000ff\" quantity=\"0\" label=\"0\"/>' + \\\n",
        "      '<ColorMapEntry color=\"#00ff00\" quantity=\"100\" label=\"1-100\" />' + \\\n",
        "      '<ColorMapEntry color=\"#007f30\" quantity=\"200\" label=\"110-200\" />' + \\\n",
        "      '<ColorMapEntry color=\"#30b855\" quantity=\"300\" label=\"210-300\" />' + \\\n",
        "      '<ColorMapEntry color=\"#ff0000\" quantity=\"400\" label=\"310-400\" />' + \\\n",
        "      '<ColorMapEntry color=\"#ffff00\" quantity=\"1000\" label=\"410-1000\" />' + \\\n",
        "    '</ColorMap>' + \\\n",
        "  '</RasterSymbolizer>';\n",
        "\n",
        "# Define an sld style color ramp to apply to the image.\n",
        "sld_ramp = \\\n",
        "  '<RasterSymbolizer>' + \\\n",
        "    '<ColorMap type=\"ramp\" extended=\"false\" >' + \\\n",
        "      '<ColorMapEntry color=\"#0000ff\" quantity=\"0\" label=\"0\"/>' + \\\n",
        "      '<ColorMapEntry color=\"#00ff00\" quantity=\"100\" label=\"100\" />' + \\\n",
        "      '<ColorMapEntry color=\"#007f30\" quantity=\"200\" label=\"200\" />' + \\\n",
        "      '<ColorMapEntry color=\"#30b855\" quantity=\"300\" label=\"300\" />' + \\\n",
        "      '<ColorMapEntry color=\"#ff0000\" quantity=\"400\" label=\"400\" />' + \\\n",
        "      '<ColorMapEntry color=\"#ffff00\" quantity=\"500\" label=\"500\" />' + \\\n",
        "    '</ColorMap>' + \\\n",
        "  '</RasterSymbolizer>';\n",
        "\n",
        "# Add the image to the map using both the color ramp and interval schemes.\n",
        "Map.setCenter(-76.8054, 42.0289, 8);\n",
        "Map.addLayer(image.sldStyle(sld_intervals), {}, 'SLD intervals');\n",
        "Map.addLayer(image.sldStyle(sld_ramp), {}, 'SLD ramp');"
      ],
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Display Earth Engine data layers "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {},
      "source": [
        "Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.\n",
        "Map"
      ],
      "outputs": [],
      "execution_count": null
    }
  ],
  "metadata": {
    "anaconda-cloud": {},
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.1"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
}