8000 Added extract values tutorial · giswqs/gee-tutorials@62affe3 · GitHub
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Added extract values tutorial
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‎AssetManagement/extract_values.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<a href=\"https://githubtocolab.com/giswqs/geemap/blob/master/examples/notebooks/extract_values.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
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"\n",
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"Uncomment the following line to install [geemap](https://geemap.org) if needed."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# !pip install geemap"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# import geemap\n",
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"# geemap.update_package()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Interactive extraction of pixel values and interactive region reduction"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Interactive extraction of pixel values"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import ee\n",
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"import geemap"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Create an interactive map"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Map = geemap.Map()\n",
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"Map"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Add data to the map"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \\\n",
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" .select([0, 1, 2, 3, 4, 6])\n",
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"landsat_vis = {\n",
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" 'bands': ['B4', 'B3', 'B2'], \n",
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" 'gamma': 1.7\n",
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"}\n",
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"Map.addLayer(landsat7, landsat_vis, \"LE7_TOA_5YEAR/1999_2003\")\n",
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"\n",
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"Map.set_plot_options(add_marker_cluster=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Activate the plotting tool\n",
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"\n",
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"Tick the `Plotting` checkbox and click the mouse on the map to start displaying charts."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Export pixel values to shapefile/csv"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"out_dir = os.path.expanduser('~/Downloads')\n",
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"# out_csv = os.path.join(out_dir, 'points.csv')\n",
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"out_shp = os.path.join(out_dir, 'points.shp')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Map.extract_values_to_points(out_shp)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Interactive Region Reduction"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Import libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import geemap.colormaps as cm"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Create an interactive map"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"sour B94A ce": [
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"m = geemap.Map()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Add add to the map"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"collection = ee.ImageCollection('MODIS/006/MOD13A2') \\\n",
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" .filterDate('2015-01-01', '2019-12-31') \\\n",
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" .select('NDVI')\n",
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"\n",
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"# Convert the image collection to an image.\n",
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"image = collection.toBands()\n",
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"\n",
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"palette = cm.palettes.ndvi\n",
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"\n",
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"ndvi_vis = {\n",
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" 'min': 0.0,\n",
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" 'max': 9000.0,\n",
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" 'palette': palette\n",
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"}\n",
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"\n",
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"m.addLayer(image, {}, 'MODIS NDVI Time-series')\n",
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"m.addLayer(image.select(0), ndvi_vis, 'MODIS NDVI VIS')\n",
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"\n",
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"m"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Set reducer"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"m.set_plot_options(add_marker_cluster=True, marker=None)\n",
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"m.roi_reducer = ee.Reducer.mean()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Export data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"out_dir = os.path.expanduser('~/Downloads')\n",
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"# out_csv = os.path.join(out_dir, 'points.csv')\n",
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"out_shp = os.path.join(out_dir, 'ndvi.shp')\n",
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"m.extract_values_to_points(out_shp)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Creating training samples"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import geemap"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"geemap.show_youtube(\"https://youtu.be/VWh5PxXPZw0\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Map = geemap.Map()\n",
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"Map"
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]
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}
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],
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"metadata": {
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"_draft": {
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"nbviewer_url": "https://gist.github.com/3ebde541f34a1757035a67dee34939d0"
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},
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"gist": {
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"data": {
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"description": "extract values to points",
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"public": true
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},
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"id": "3ebde541f34a1757035a67dee34939d0"
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},
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"hide_input": false,
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": true,
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"title_cell": "Table of Contents",
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"title_sidebar": "Table of Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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"types_to_exclude": [
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"function",
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