{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/nlcd_datapane.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) if needed."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# !pip install geemap"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "To follow this tutorial, you need to [sign up](https://datapane.com/accounts/signup/) for an account with <https://datapane.com>, then install and authenticate the `datapane` Python package. More information can be found [here](https://docs.datapane.com/tutorials/tut-getting-started). \n",
                "\n",
                "- `pip install datapane`\n",
                "- `datapane login`\n",
                "- `datapane ping`"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import ee\n",
                "import geemap.foliumap as geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map = geemap.Map(center=[40, -100], zoom=4)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Select the seven NLCD epoches after 2000.\n",
                "years = ['2001', '2004', '2006', '2008', '2011', '2013', '2016']"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Get an NLCD image by year.\n",
                "def getNLCD(year):\n",
                "    # Import the NLCD collection.\n",
                "    dataset = ee.ImageCollection('USGS/NLCD_RELEASES/2016_REL')\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"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "for year in years:\n",
                "    data = getNLCD(year)\n",
                "    Map.addLayer(data, {}, 'NLCD ' + year)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Add the NLCD legend to the map.\n",
                "Map.add_legend(legend_title='NLCD Land Cover Classification', builtin_legend='NLCD')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map.publish(name='National Land Cover Database (NLCD)')"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}