{ "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/Image/relational_operators.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/Image/relational_operators.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/Image/relational_operators.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 a 2012 nightlights image.\n", "nl2012 = ee.Image('NOAA/DMSP-OLS/NIGHTTIME_LIGHTS/F182012')\n", "lights = nl2012.select('stable_lights')\n", "\n", "# Define arbitrary thresholds on the 6-bit stable lights band.\n", "zones = lights.gt(30).add(lights.gt(55)).add(lights.gt(62))\n", "\n", "# Display the thresholded image as three distinct zones near Paris.\n", "palette = ['000000', '0000FF', '00FF00', 'FF0000']\n", "Map.setCenter(2.373, 48.8683, 8)\n", "Map.addLayer(zones, {'min': 0, 'max': 3, 'palette': palette}, 'development zones')\n", "\n", "# Create zones using an expression, display.\n", "zonesExp = nl2012.expression(\n", " \"(b('stable_lights') > 62) ? 3\" +\n", " \": (b('stable_lights') > 55) ? 2\" +\n", " \": (b('stable_lights') > 30) ? 1\" +\n", " \": 0\"\n", ")\n", "Map.addLayer(zonesExp,\n", " {'min': 0, 'max': 3, 'palette': palette},\n", " 'development zones (ternary)')\n", "\n" ], "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 }