examples/notebooks/43_extract_values_to_points.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/43_extract_values_to_points.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": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3",
   "metadata": {},
   "source": [
    "Upgrade geemap to the latest version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# geemap.update_package()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = geemap.Map()\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Earth Engine dataset\n",
    "dem = ee.Image(\"USGS/SRTMGL1_003\")\n",
    "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\")\n",
    "\n",
    "# Set visualization parameters.\n",
    "vis_params = {\n",
    "    \"min\": 0,\n",
    "    \"max\": 4000,\n",
    "    \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n",
    "}\n",
    "\n",
    "# Add Earth Engine layers to Map\n",
    "Map.addLayer(\n",
    "    landsat7, {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 20, \"max\": 200}, \"Landsat 7\"\n",
    ")\n",
    "Map.addLayer(dem, vis_params, \"SRTM DEM\", True, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "Download sample data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "work_dir = os.path.expanduser(\"~/Downloads\")\n",
    "in_shp = os.path.join(work_dir, \"us_cities.shp\")\n",
    "if not os.path.exists(in_shp):\n",
    "    data_url = \"https://github.com/giswqs/data/raw/main/us/us_cities.zip\"\n",
    "    geemap.download_from_url(data_url, out_dir=work_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9",
   "metadata": {},
   "outputs": [],
   "source": [
    "in_fc = geemap.shp_to_ee(in_shp)\n",
    "Map.addLayer(in_fc, {}, \"Cities\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "Export pixel values as a shapefile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "out_shp = os.path.join(work_dir, \"dem.shp\")\n",
    "geemap.extract_values_to_points(in_fc, dem, out_shp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12",
   "metadata": {},
   "source": [
    "Export pixel values as a csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13",
   "metadata": {},
   "outputs": [],
   "source": [
    "out_csv = os.path.join(work_dir, \"landsat.csv\")\n",
    "geemap.extract_values_to_points(in_fc, landsat7, out_csv)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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