{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/solara-geemap/blob/main/notebooks/04_split_map.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install -U geemap solara"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap\n",
    "import solara\n",
    "\n",
    "\n",
    "class Map(geemap.Map):\n",
    "    def __init__(self, **kwargs):\n",
    "        super().__init__(**kwargs)\n",
    "        self.add_ee_data()\n",
    "\n",
    "    def add_ee_data(self):\n",
    "        # Select the eight NLCD epochs after 2000.\n",
    "        years = [\"2001\", \"2004\", \"2006\", \"2008\", \"2011\", \"2013\", \"2016\", \"2019\"]\n",
    "\n",
    "        # Get an NLCD image by year.\n",
    "        def getNLCD(year):\n",
    "            # Import the NLCD collection.\n",
    "            dataset = ee.ImageCollection(\"USGS/NLCD_RELEASES/2019_REL/NLCD\")\n",
    "\n",
    "            # Filter the collection by year.\n",
    "            nlcd = dataset.filter(ee.Filter.eq(\"system:index\", year)).first()\n",
    "\n",
    "            # Select the land cover band.\n",
    "            landcover = nlcd.select(\"landcover\")\n",
    "            return landcover\n",
    "\n",
    "        ## Create an NLCD image collection for the selected years.\n",
    "        collection = ee.ImageCollection(ee.List(years).map(lambda year: getNLCD(year)))\n",
    "\n",
    "        # Create a list of labels to populate the dropdown list.\n",
    "        labels = [f\"NLCD {year}\" for year in years]\n",
    "\n",
    "        # Add a split-panel map for visualizing NLCD land cover change.\n",
    "        self.ts_inspector(\n",
    "            left_ts=collection,\n",
    "            right_ts=collection,\n",
    "            left_names=labels,\n",
    "            right_names=labels,\n",
    "        )\n",
    "\n",
    "        # Add the NLCD legend to the map.\n",
    "        self.add_legend(\n",
    "            title=\"NLCD Land Cover Type\",\n",
    "            builtin_legend=\"NLCD\",\n",
    "            height=\"460px\",\n",
    "            add_header=False,\n",
    "        )\n",
    "\n",
    "\n",
    "@solara.component\n",
    "def Page():\n",
    "    with solara.Column(style={\"min-width\": \"500px\", \"isolation\": \"isolate\"}):\n",
    "        Map.element(\n",
    "            center=[40, -100],\n",
    "            zoom=4,\n",
    "            height=\"600px\",\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Page()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geo",
   "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": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}