{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_parent\"  href=\"https://github.com/giswqs/geemap/tree/master/examples/notebooks/geemap_and_ipyleaflet.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_parent\"  href=\"https://nbviewer.jupyter.org/github/giswqs/geemap/blob/master/examples/notebooks/geemap_and_ipyleaflet.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=\"_parent\"  href=\"https://colab.research.google.com/github/giswqs/geemap/blob/master/examples/notebooks/geemap_and_ipyleaflet.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://github.com/giswqs/geemap). 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",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Installs geemap package\n",
    "import subprocess\n",
    "\n",
    "try:\n",
    "    import geemap\n",
    "except ImportError:\n",
    "    print('geemap package not installed. Installing ...')\n",
    "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "734cad92dedb43f883d8c4d17e567566",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Map = geemap.Map(center=(40, -100), zoom=4)\n",
    "Map.add_minimap(position='bottomright')\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add tile layers\n",
    "\n",
    "For example, you can Google Map tile layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://mt1.google.com/vt/lyrs=m&x={x}&y={y}&z={z}'\n",
    "Map.add_tile_layer(url, name='Google Map', attribution='Google')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add Google Terrain tile layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://mt1.google.com/vt/lyrs=p&x={x}&y={y}&z={z}'\n",
    "Map.add_tile_layer(url, name='Google Terrain', attribution='Google')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add WMS layers\n",
    "More WMS layers can be found at <https://viewer.nationalmap.gov/services/>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, you can add NAIP imagery."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?'\n",
    "Map.add_wms_layer(url=url, layers='0', name='NAIP Imagery', format='image/png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add USGS 3DEP Elevation Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://elevation.nationalmap.gov/arcgis/services/3DEPElevation/ImageServer/WMSServer?'\n",
    "Map.add_wms_layer(url=url, layers='3DEPElevation:None', name='3DEP Elevation', format='image/png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capture user inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d3fbaaa221ac40b7950c1f291fccc97b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Label(value='')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e5373bd574b14dce846562e61c943e86",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geemap\n",
    "from ipywidgets import Label\n",
    "from ipyleaflet import Marker\n",
    "\n",
    "Map = geemap.Map(center=(40, -100), zoom=4)\n",
    "\n",
    "label = Label()\n",
    "display(label)\n",
    "\n",
    "coordinates = []\n",
    "\n",
    "def handle_interaction(**kwargs):\n",
    "    latlon = kwargs.get('coordinates')\n",
    "    if kwargs.get('type') == 'mousemove':\n",
    "        label.value = str(latlon)\n",
    "    elif kwargs.get('type') == 'click':\n",
    "        coordinates.append(latlon)\n",
    "        Map.add_layer(Marker(location=latlon))\n",
    "\n",
    "Map.on_interaction(handle_interaction)\n",
    "\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "print(coordinates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SplitMap control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c559b796a4714e76b02a0a66754f5cc7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[47.5, -101], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(valu…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geemap\n",
    "from ipyleaflet import *\n",
    "\n",
    "Map = geemap.Map(center=(47.50, -101), zoom=7)\n",
    "\n",
    "right_layer = WMSLayer(\n",
    "    url = 'https://ndgishub.nd.gov/arcgis/services/Imagery/AerialImage_ND_2017_CIR/ImageServer/WMSServer?',\n",
    "    layers = 'AerialImage_ND_2017_CIR',\n",
    "    name = 'AerialImage_ND_2017_CIR',\n",
    "    format = 'image/png'\n",
    ")\n",
    "\n",
    "left_layer = WMSLayer(\n",
    "    url = 'https://ndgishub.nd.gov/arcgis/services/Imagery/AerialImage_ND_2018_CIR/ImageServer/WMSServer?',\n",
    "    layers = 'AerialImage_ND_2018_CIR',\n",
    "    name = 'AerialImage_ND_2018_CIR',\n",
    "    format = 'image/png'\n",
    ")\n",
    "\n",
    "control = SplitMapControl(left_layer=left_layer, right_layer=right_layer)\n",
    "Map.add_control(control)\n",
    "Map.add_control(LayersControl(position='topright'))\n",
    "Map.add_control(FullScreenControl())\n",
    "\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e37e3938aaf44f41922b824643ca359c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geemap\n",
    "Map = geemap.Map()\n",
    "Map.split_map(left_layer='HYBRID', right_layer='ESRI')\n",
    "Map"
   ]
  }
 ],
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