examples/notebooks/30_image_props_stats.ipynb

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    "\n",
    "Uncomment the following line to install [geemap](https://geemap.org) if needed."
   ]
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   "cell_type": "code",
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   "source": [
    "# !pip install geemap"
   ]
  },
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   "source": [
    "# How to get image basic properties and descriptive statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an interactive map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add images to the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "centroid = ee.Geometry.Point([-122.4439, 37.7538])\n",
    "\n",
    "landsat = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR') \\\n",
    "    .filterBounds(centroid) \\\n",
    "    .first()\n",
    "\n",
    "landsat_vis = {\n",
    "    'min': 0,\n",
    "    'max': 3000,\n",
    "    'bands': ['B5', 'B4', 'B3']\n",
    "}\n",
    "\n",
    "Map.centerObject(centroid, 8)\n",
    "Map.addLayer(landsat, landsat_vis, \"Landsat-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "naip = ee.ImageCollection('USDA/NAIP/DOQQ') \\\n",
    "    .filterBounds(centroid) \\\n",
    "    .first()\n",
    "\n",
    "naip_vis = {\n",
    "    'bands': ['N', 'R', 'G']\n",
    "}\n",
    "\n",
    "Map.addLayer(naip, naip_vis, 'NAIP')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get image property names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat.propertyNames().getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat.get('CLOUD_COVER').getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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,
   "metadata": {},
   "outputs": [],
   "source": [
    "ee.Date(landsat.get('system:time_start')).format('YYYY-MM-dd').getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get image properties all at once"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_props = geemap.image_props(landsat)\n",
    "landsat_props.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_props.get('IMAGE_DATE').getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_props = geemap.image_props(naip)\n",
    "naip_props.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_props.get('NOMINAL_SCALE').getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get image descriptive statistics\n",
    "\n",
    "Including minimum, maximum, mean, standard deviation, and sum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "landsat_stats = geemap.image_stats(landsat, scale=90)\n",
    "landsat_stats.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "naip_stats = geemap.image_stats(naip, scale=10)\n",
    "naip_stats.getInfo()"
   ]
  }
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