examples/notebooks/116_land_cover_timeseries.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/116_land_cover_timeseries.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# !pip install geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import ee\n",
                "import geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map = geemap.Map()\n",
                "Map.add_basemap('HYBRID')\n",
                "Map"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Set the region of interest by simply drawing a polygon on the map\n",
                "region = Map.user_roi\n",
                "if region is None:\n",
                "    region = ee.Geometry.BBox(-89.7088, 42.9006, -89.0647, 43.2167)\n",
                "\n",
                "Map.centerObject(region)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Set the date range\n",
                "start_date = '2017-01-01'\n",
                "end_date = '2021-12-31'"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The `return_type` can be `hillshade`, `visualize`, `class`, or `probability`. If you want to use the resulting images for further analysis, you should use `class`."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "images = geemap.dynamic_world_timeseries(\n",
                "    region, start_date, end_date, return_type=\"class\"\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "vis_params = {\n",
                "    \"min\": 0,\n",
                "    \"max\": 8,\n",
                "    \"palette\": [\n",
                "        \"#419BDF\",\n",
                "        \"#397D49\",\n",
                "        \"#88B053\",\n",
                "        \"#7A87C6\",\n",
                "        \"#E49635\",\n",
                "        \"#DFC35A\",\n",
                "        \"#C4281B\",\n",
                "        \"#A59B8F\",\n",
                "        \"#B39FE1\",\n",
                "    ],\n",
                "}\n",
                "Map.addLayer(images.first(), vis_params, 'First image')\n",
                "Map.add_legend(title=\"Dynamic World Land Cover\", builtin_legend='Dynamic_World')\n",
                "Map"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map.ts_inspector(images, left_vis=vis_params, date_format='YYYY')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map = geemap.Map()\n",
                "Map.add_basemap('HYBRID')\n",
                "Map.centerObject(region)\n",
                "\n",
                "images = geemap.dynamic_world_timeseries(\n",
                "    region, start_date, end_date, return_type=\"hillshade\"\n",
                ")\n",
                "Map.ts_inspector(images, date_format='YYYY')\n",
                "Map.add_legend(title=\"Dynamic World Land Cover\", builtin_legend='Dynamic_World')\n",
                "\n",
                "Map"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "![](https://i.imgur.com/5DGOuTC.png)"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}