{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# geemap.update_package()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing weather data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "\n",
    "collection = ee.ImageCollection('NOAA/GFS0P25') \\\n",
    "  .filterDate('2018-12-22', '2018-12-23') \\\n",
    "  .limit(24) \\\n",
    "  .select('temperature_2m_above_ground')\n",
    "\n",
    "vis_params = {\n",
    "  'min': -40.0,\n",
    "  'max': 35.0,\n",
    "  'palette': ['blue', 'purple', 'cyan', 'green', 'yellow', 'red']\n",
    "}\n",
    "\n",
    "first_image = collection.first()\n",
    "\n",
    "Map.addLayer(first_image, vis_params, \"First image\", False)\n",
    "Map.setCenter(-0.3490, 25.7900, 2)\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [str(n).zfill(2) + \":00\" for n in range(0, 24)]\n",
    "print(labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing vegetation data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "\n",
    "collection = ee.ImageCollection('MODIS/MCD43A4_006_NDVI') \\\n",
    "                  .filter(ee.Filter.date('2018-04-01', '2018-05-01')) \\\n",
    "                  .select(\"NDVI\")\\\n",
    "\n",
    "vis_params = {\n",
    "  'min': 0.0,\n",
    "  'max': 1.0,\n",
    "  'palette': [\n",
    "    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',\n",
    "    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',\n",
    "    '012E01', '011D01', '011301'\n",
    "  ],\n",
    "}\n",
    "\n",
    "first_image = collection.first()\n",
    "\n",
    "Map.addLayer(first_image, vis_params, \"First image\", False)\n",
    "Map.setCenter(-7.03125, 31.0529339857, 2)\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.add_time_slider(collection, vis_params, time_interval=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Landsat imagery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "\n",
    "bands = ['B1', 'B2', 'B3', 'B4', 'B5', 'B7']\n",
    "image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(bands)\n",
    "vis_params = {'min': 20, 'max': 200, 'gamma': 2.0}\n",
    "\n",
    "Map.add_time_slider(image, vis_params, time_interval=1)\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Sentinel-2 imagery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Map = geemap.Map(center=[37.75, -122.45], zoom=12)\n",
    "\n",
    "S2 = ee.ImageCollection('COPERNICUS/S2_SR') \\\n",
    "    .filterBounds(ee.Geometry.Point([-122.45, 37.75])) \\\n",
    "    .filterMetadata('CLOUDY_PIXEL_PERCENTAGE', 'less_than', 10)\n",
    "\n",
    "vis_params = {\"min\": 0,\n",
    "              \"max\": 4000,\n",
    "              \"bands\": [\"B8\", \"B4\", \"B3\"]}\n",
    "\n",
    "Map.addLayer(S2, {}, \"Sentinel-2\", False)\n",
    "Map.add_time_slider(S2, vis_params)\n",
    "Map"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}