Land cover time series.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://githubtocolab.com/giswqs/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": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Requirement already satisfied: executing in c:\\users\\gebruiker\\miniconda3\\envs\\gee\\lib\\site-packages (from stack-data->ipython>=4.0.0->ipywidgets->ipyfilechooser>=0.6.0->geemap) (0.8.3)\n",
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     ]
    }
   ],
   "source": [
    "!pip install geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "89c73a4508dd44ada86c20a837de6862",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[20, 0], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=HBox(children=(Togg…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Map = geemap.Map()\n",
    "Map.add_basemap('HYBRID')\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the date range\n",
    "start_date = '2015-01-01'\n",
    "end_date = '2022-12-31'"
   ]
  },
  {
   "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": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "images = geemap.dynamic_world_timeseries(\n",
    "    region, start_date, end_date, return_type=\"class\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "89c73a4508dd44ada86c20a837de6862",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(bottom=125976.0, center=[7.389705401310166, 11.60911560058594], controls=(WidgetControl(options=['position…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.ts_inspector(images, left_vis=vis_params, date_format='YYYY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30d95996b9cf48418dd79713489e9ff1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[20, 0], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=Dropdown(layout=Lay…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}