{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/30_image_props_stats.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,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "# How to get image basic properties and descriptive statistics"
   ]
  },
  {
   "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()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "## Add images to the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7",
   "metadata": {},
   "outputs": [],
   "source": [
    "centroid = ee.Geometry.Point([-122.4439, 37.7538])\n",
    "\n",
    "landsat = ee.ImageCollection(\"LANDSAT/LC08/C01/T1_SR\").filterBounds(centroid).first()\n",
    "\n",
    "landsat_vis = {\"min\": 0, \"max\": 3000, \"bands\": [\"B5\", \"B4\", \"B3\"]}\n",
    "\n",
    "Map.centerObject(centroid, 8)\n",
    "Map.addLayer(landsat, landsat_vis, \"Landsat-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "naip = ee.ImageCollection(\"USDA/NAIP/DOQQ\").filterBounds(centroid).first()\n",
    "\n",
    "naip_vis = {\"bands\": [\"N\", \"R\", \"G\"]}\n",
    "\n",
    "Map.addLayer(naip, naip_vis, \"NAIP\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "## Get image property names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat.propertyNames().getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat.get(\"CLOUD_COVER\").getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The number of milliseconds since 1970-01-01T00:00:00Z.\n",
    "landsat.get(\"system:time_start\").getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13",
   "metadata": {},
   "outputs": [],
   "source": [
    "ee.Date(landsat.get(\"system:time_start\")).format(\"YYYY-MM-dd\").getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14",
   "metadata": {},
   "source": [
    "## Get image properties all at once"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_props = geemap.image_props(landsat)\n",
    "landsat_props.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_props.get(\"IMAGE_DATE\").getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17",
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_props = geemap.image_props(naip)\n",
    "naip_props.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18",
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_props.get(\"NOMINAL_SCALE\").getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19",
   "metadata": {},
   "source": [
    "## Get image descriptive statistics\n",
    "\n",
    "Including minimum, maximum, mean, standard deviation, and sum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20",
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_stats = geemap.image_stats(landsat, scale=90)\n",
    "landsat_stats.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21",
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_stats = geemap.image_stats(naip, scale=10)\n",
    "naip_stats.getInfo()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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