{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/99_landsat_9.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.\n",
    "\n",
    "[Landsat 9](https://landsat.gsfc.nasa.gov/satellites/landsat-9) was successfully launched on Sept. 27, 2021. USGS has been providing Landsat data to the public since Feb. 10, 2022. Landsat 9 data can be downloaded from [EarthExplorer](https://earthexplorer.usgs.gov). The Earth Engine team has been ingesting Landsat 9 into the Public Data Catalog. As of Feb. 14, 2022, although Landsat 9 data have not been publicly listed on the [Earth Engine Datasets](https://developers.google.com/earth-engine/datasets) page, you can access the data through `ee.ImageCollection('LANDSAT/LC09/C02/T1_L2')` ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "Import libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "Create an interactive map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "Find out how many Landsat imgaes are available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7",
   "metadata": {},
   "outputs": [],
   "source": [
    "collection = ee.ImageCollection(\"LANDSAT/LC09/C02/T1_L2\")\n",
    "print(collection.size().getInfo())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "Create a median composite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9",
   "metadata": {},
   "outputs": [],
   "source": [
    "median = collection.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "Apply scaling factors. See https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2#bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "def apply_scale_factors(image):\n",
    "    opticalBands = image.select(\"SR_B.\").multiply(0.0000275).add(-0.2)\n",
    "    thermalBands = image.select(\"ST_B.*\").multiply(0.00341802).add(149.0)\n",
    "    return image.addBands(opticalBands, None, True).addBands(thermalBands, None, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = apply_scale_factors(median)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "Specify visualization parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14",
   "metadata": {},
   "outputs": [],
   "source": [
    "vis_natural = {\n",
    "    \"bands\": [\"SR_B4\", \"SR_B3\", \"SR_B2\"],\n",
    "    \"min\": 0.0,\n",
    "    \"max\": 0.3,\n",
    "}\n",
    "\n",
    "vis_nir = {\n",
    "    \"bands\": [\"SR_B5\", \"SR_B4\", \"SR_B3\"],\n",
    "    \"min\": 0.0,\n",
    "    \"max\": 0.3,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "Add data layers to the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16",
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(dataset, vis_natural, \"True color (432)\")\n",
    "Map.addLayer(dataset, vis_nir, \"Color infrared (543)\")\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/USPMXzw.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18",
   "metadata": {},
   "source": [
    "Create linked maps for visualizing images with different band combinations. For more information on common band combinations of Landsat 8/9, see https://gisgeography.com/landsat-8-bands-combinations/"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19",
   "metadata": {},
   "source": [
    "Specify visualization parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20",
   "metadata": {},
   "outputs": [],
   "source": [
    "vis_params = [\n",
    "    {\"bands\": [\"SR_B4\", \"SR_B3\", \"SR_B2\"], \"min\": 0, \"max\": 0.3},\n",
    "    {\"bands\": [\"SR_B5\", \"SR_B4\", \"SR_B3\"], \"min\": 0, \"max\": 0.3},\n",
    "    {\"bands\": [\"SR_B7\", \"SR_B6\", \"SR_B4\"], \"min\": 0, \"max\": 0.3},\n",
    "    {\"bands\": [\"SR_B6\", \"SR_B5\", \"SR_B2\"], \"min\": 0, \"max\": 0.3},\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21",
   "metadata": {},
   "source": [
    "Specify labels for each layers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [\n",
    "    \"Natural Color (4, 3, 2)\",\n",
    "    \"Color Infrared (5, 4, 3)\",\n",
    "    \"Short-Wave Infrared (7, 6 4)\",\n",
    "    \"Agriculture (6, 5, 2)\",\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23",
   "metadata": {},
   "source": [
    "Create linked maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24",
   "metadata": {},
   "outputs": [],
   "source": [
    "geemap.linked_maps(\n",
    "    rows=2,\n",
    "    cols=2,\n",
    "    height=\"400px\",\n",
    "    center=[40, -100],\n",
    "    zoom=4,\n",
    "    ee_objects=[dataset],\n",
    "    vis_params=vis_params,\n",
    "    labels=labels,\n",
    "    label_position=\"topright\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/c4FsGBI.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26",
   "metadata": {},
   "source": [
    "Create a split-panel map for comparing Landsat 8 and 9 images.\n",
    "\n",
    "Retrieve two sample images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat8 = ee.Image(\"LANDSAT/LC08/C02/T1_L2/LC08_015043_20130402\")\n",
    "landsat9 = ee.Image(\"LANDSAT/LC09/C02/T1_L2/LC09_015043_20211231\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28",
   "metadata": {},
   "source": [
    "Apply scaling factors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat8 = apply_scale_factors(landsat8)\n",
    "landsat9 = apply_scale_factors(landsat9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30",
   "metadata": {},
   "source": [
    "Generate Earth Engine layers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31",
   "metadata": {},
   "outputs": [],
   "source": [
    "left_layer = geemap.ee_tile_layer(landsat8, vis_natural, \"Landsat 8\")\n",
    "right_layer = geemap.ee_tile_layer(landsat9, vis_natural, \"Landsat 9\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32",
   "metadata": {},
   "source": [
    "Create a split-panel map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33",
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "Map.split_map(left_layer, right_layer)\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/i6lUYHF.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
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