{
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map(zoom=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(['B1', 'B2', 'B3', 'B4', 'B5', 'B7'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
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   "outputs": [],
   "source": [
    "Map.addLayer(image, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0}, 'Landsat 7')\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "region = Map.user_roi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if region is None:\n",
    "    region = ee.Geometry.Point([-101.5, 40]).buffer(100000)\n",
    "    Map.addLayer(ee.Image().paint(region, 0, 4), {'palette': 'yellow'}, \"ROI-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "random_points = geemap.random_sampling(image, region, numPixels=1000)\n",
    "Map.addLayer(random_points, {}, \"Random Sampling\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = geemap.ee_to_pandas(random_points)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "region2 = Map.user_roi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if region2 is None:\n",
    "    region2 = ee.Geometry.Point([-99, 40]).buffer(100000)\n",
    "    Map.addLayer(ee.Image().paint(region2, 0, 4), {'palette': 'blue'}, \"ROI-2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sys_points = geemap.random_sampling(image, region2, scale=10000)\n",
    "Map.addLayer(sys_points, {}, \"Systematic Sampling\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = geemap.ee_to_pandas(sys_points)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/14ulR5D.png)"
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