{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/66_cartoee_legend.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/gee-community/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,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install cartopy scipy\n",
    "# !pip install geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pylab inline\n",
    "\n",
    "import ee\n",
    "import geemap\n",
    "\n",
    "# import the cartoee functionality from geemap\n",
    "from geemap import cartoee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "geemap.ee_initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "## Plot an RGB image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get a landsat image to visualize\n",
    "image = ee.Image(\"LANDSAT/LC08/C01/T1_SR/LC08_044034_20140318\")\n",
    "\n",
    "# define the visualization parameters to view\n",
    "vis = {\"bands\": [\"B5\", \"B4\", \"B3\"], \"min\": 0, \"max\": 5000, \"gamma\": 1.3}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "# use cartoee to get a map\n",
    "ax = cartoee.get_map(image, vis_params=vis)\n",
    "\n",
    "# pad the view for some visual appeal\n",
    "cartoee.pad_view(ax)\n",
    "\n",
    "# add the gridlines and specify that the xtick labels be rotated 45 degrees\n",
    "cartoee.add_gridlines(ax, interval=0.5, xtick_rotation=0, linestyle=\":\")\n",
    "\n",
    "# add the coastline\n",
    "ax.coastlines(color=\"cyan\")\n",
    "\n",
    "show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "By default, if a region is not provided via the `region` keyword the whole extent of the image will be plotted as seen in the previous Landsat example. We can also zoom to a specific region of an image by defining the region to plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "# here is the bounding box of the map extent we want to use\n",
    "# formatted a [E,S,W,N]\n",
    "zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]\n",
    "\n",
    "# plot the map over the region of interest\n",
    "ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)\n",
    "\n",
    "# add the gridlines and specify that the xtick labels be rotated 45 degrees\n",
    "cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=\":\")\n",
    "\n",
    "# add coastline\n",
    "ax.coastlines(color=\"cyan\")\n",
    "\n",
    "show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "## Adding north arrow, scale bar, and legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "# here is the bounding box of the map extent we want to use\n",
    "# formatted a [E,S,W,N]\n",
    "zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]\n",
    "\n",
    "# plot the map over the region of interest\n",
    "ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)\n",
    "\n",
    "# add the gridlines and specify that the xtick labels be rotated 45 degrees\n",
    "cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=\":\")\n",
    "\n",
    "# add coastline\n",
    "ax.coastlines(color=\"cyan\")\n",
    "\n",
    "# add north arrow\n",
    "cartoee.add_north_arrow(\n",
    "    ax, text=\"N\", xy=(0.05, 0.25), text_color=\"white\", arrow_color=\"white\", fontsize=20\n",
    ")\n",
    "\n",
    "# add scale bar\n",
    "cartoee.add_scale_bar_lite(\n",
    "    ax, length=10, xy=(0.1, 0.05), fontsize=20, color=\"white\", unit=\"km\"\n",
    ")\n",
    "\n",
    "ax.set_title(label=\"Landsat False Color Composite (Band 5/4/3)\", fontsize=15)\n",
    "\n",
    "# add legend\n",
    "legend_elements = [\n",
    "    Line2D([], [], color=\"#00ffff\", lw=2, label=\"Coastline\"),\n",
    "    Line2D(\n",
    "        [],\n",
    "        [],\n",
    "        marker=\"o\",\n",
    "        color=\"#A8321D\",\n",
    "        label=\"City\",\n",
    "        markerfacecolor=\"#A8321D\",\n",
    "        markersize=10,\n",
    "        ls=\"\",\n",
    "    ),\n",
    "]\n",
    "\n",
    "cartoee.add_legend(ax, legend_elements, loc=\"lower right\")\n",
    "\n",
    "show()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
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