{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gee-community/geemap/blob/master/examples/workshops/Japan_2022.ipynb)\n", "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/gee-community/geemap/master?urlpath=lab%2Ftree%2Fexamples%2Fworkshops)\n", "\n", "**Introduction to Earth Engine and Geemap**\n", "\n", "A workshop at Nagoya University, Japan.\n", "\n", "Useful links\n", "\n", "- [Google Earth Engine](https://earthengine.google.com/)\n", "- [Sign up for an Earth Engine account](https://earthengine.google.com/signup/)\n", "- [Awesome GEE Community Datasets](https://samapriya.github.io/awesome-gee-community-datasets)\n", "- [Geemap website](https://geemap.org/)\n", "- [Geemap book](https://book.geemap.org/)\n", "- [Geemap YouTube videos](https://youtube.com/@giswqs)\n", "- [Streamlit Web App](https://github.com/giswqs/streamlit-geospatial)\n", "\n", "## Installing geemap\n", "\n", "Press **Ctrl + /** to uncomment the following line to install geemap. Restart the kernel/runtime after installation." ] }, { "cell_type": "code", "execution_count": null, "id": "1", "metadata": {}, "outputs": [], "source": [ "# pip install geemap" ] }, { "cell_type": "markdown", "id": "2", "metadata": {}, "source": [ "## Earth Engine authentication" ] }, { "cell_type": "code", "execution_count": null, "id": "3", "metadata": {}, "outputs": [], "source": [ "import ee\n", "\n", "ee.Authenticate()" ] }, { "cell_type": "markdown", "id": "4", "metadata": {}, "source": [ "Following the instructions [here](https://book.geemap.org/chapters/01_introduction.html#earth-engine-authentication) to authenticate your Earth Engine account.\n", "\n", "## Creating interactive maps" ] }, { "cell_type": "code", "execution_count": null, "id": "5", "metadata": {}, "outputs": [], "source": [ "import geemap" ] }, { "cell_type": "code", "execution_count": null, "id": "6", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()" ] }, { "cell_type": "code", "execution_count": null, "id": "7", "metadata": {}, "outputs": [], "source": [ "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "8", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4, height=600)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "9", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(data_ctrl=False, toolbar_ctrl=False, draw_ctrl=False)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "10", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(lite_mode=True)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "11", "metadata": {}, "outputs": [], "source": [ "Map.save(\"ipyleaflet.html\")" ] }, { "cell_type": "markdown", "id": "12", "metadata": {}, "source": [ "## Adding basemaps\n", "\n", "### Built-in basemaps" ] }, { "cell_type": "code", "execution_count": null, "id": "13", "metadata": {}, "outputs": [], "source": [ "import geemap" ] }, { "cell_type": "code", "execution_count": null, "id": "14", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(basemap=\"HYBRID\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "15", "metadata": {}, "outputs": [], "source": [ "Map.add_basemap(\"OpenTopoMap\")" ] }, { "cell_type": "code", "execution_count": null, "id": "16", "metadata": {}, "outputs": [], "source": [ "for basemap in geemap.basemaps.keys():\n", " print(basemap)" ] }, { "cell_type": "code", "execution_count": null, "id": "17", "metadata": {}, "outputs": [], "source": [ "len(geemap.basemaps)" ] }, { "cell_type": "markdown", "id": "18", "metadata": {}, "source": [ "### Basemap GUI" ] }, { "cell_type": "code", "execution_count": null, "id": "19", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "Map" ] }, { "cell_type": "markdown", "id": "20", "metadata": {}, "source": [ "## Earth Engine data types\n", "\n", "### Image\n", "\n", "#### Loading Earth Engine images" ] }, { "cell_type": "code", "execution_count": null, "id": "21", "metadata": {}, "outputs": [], "source": [ "image = ee.Image(\"USGS/SRTMGL1_003\")" ] }, { "cell_type": "markdown", "id": "22", "metadata": {}, "source": [ "#### Visualizing Earth Engine images" ] }, { "cell_type": "code", "execution_count": null, "id": "23", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[21.79, 70.87], zoom=3)\n", "image = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 6000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(image, vis_params, \"SRTM\")\n", "Map" ] }, { "cell_type": "markdown", "id": "24", "metadata": {}, "source": [ "### ImageCollection\n", "\n", "#### Loading image collections" ] }, { "cell_type": "code", "execution_count": null, "id": "25", "metadata": {}, "outputs": [], "source": [ "collection = ee.ImageCollection(\"COPERNICUS/S2_SR\")" ] }, { "cell_type": "markdown", "id": "26", "metadata": {}, "source": [ "#### Visualizing image collections" ] }, { "cell_type": "code", "execution_count": null, "id": "27", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "collection = ee.ImageCollection(\"COPERNICUS/S2_SR\")\n", "image = collection.median()\n", "\n", "vis = {\n", " \"min\": 0.0,\n", " \"max\": 3000,\n", " \"bands\": [\"B4\", \"B3\", \"B2\"],\n", "}\n", "\n", "Map.setCenter(83.277, 17.7009, 12)\n", "Map.addLayer(image, vis, \"Sentinel-2\")\n", "Map" ] }, { "cell_type": "markdown", "id": "28", "metadata": {}, "source": [ "#### Filtering image collections" ] }, { "cell_type": "code", "execution_count": null, "id": "29", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "collection = (\n", " ee.ImageCollection(\"COPERNICUS/S2_SR\")\n", " .filterDate(\"2021-01-01\", \"2022-01-01\")\n", " .filter(ee.Filter.lt(\"CLOUDY_PIXEL_PERCENTAGE\", 5))\n", ")\n", "image = collection.median()\n", "\n", "vis = {\n", " \"min\": 0.0,\n", " \"max\": 3000,\n", " \"bands\": [\"B4\", \"B3\", \"B2\"],\n", "}\n", "\n", "Map.setCenter(83.277, 17.7009, 12)\n", "Map.addLayer(image, vis, \"Sentinel-2\")\n", "Map" ] }, { "cell_type": "markdown", "id": "30", "metadata": {}, "source": [ "### Geometry\n", "\n", "#### Geometry types\n", "\n", "#### Creating Geometry objects" ] }, { "cell_type": "code", "execution_count": null, "id": "31", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "point = ee.Geometry.Point([1.5, 1.5])\n", "\n", "lineString = ee.Geometry.LineString([[-35, -10], [35, -10], [35, 10], [-35, 10]])\n", "\n", "linearRing = ee.Geometry.LinearRing(\n", " [[-35, -10], [35, -10], [35, 10], [-35, 10], [-35, -10]]\n", ")\n", "\n", "rectangle = ee.Geometry.Rectangle([-40, -20, 40, 20])\n", "\n", "polygon = ee.Geometry.Polygon([[[-5, 40], [65, 40], [65, 60], [-5, 60], [-5, 60]]])\n", "\n", "Map.addLayer(point, {}, \"Point\")\n", "Map.addLayer(lineString, {}, \"LineString\")\n", "Map.addLayer(linearRing, {}, \"LinearRing\")\n", "Map.addLayer(rectangle, {}, \"Rectangle\")\n", "Map.addLayer(polygon, {}, \"Polygon\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "32", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "point = ee.Geometry.Point([1.5, 1.5])\n", "\n", "lineString = ee.Geometry.LineString(\n", " [[-35, -10], [35, -10], [35, 10], [-35, 10]], None, False\n", ")\n", "\n", "linearRing = ee.Geometry.LinearRing(\n", " [[-35, -10], [35, -10], [35, 10], [-35, 10], [-35, -10]], None, False\n", ")\n", "\n", "rectangle = ee.Geometry.Rectangle([-40, -20, 40, 20], None, False)\n", "\n", "polygon = ee.Geometry.Polygon(\n", " [[[-5, 40], [65, 40], [65, 60], [-5, 60], [-5, 60]]], None, False\n", ")\n", "\n", "Map.addLayer(point, {}, \"Point\")\n", "Map.addLayer(lineString, {}, \"LineString\")\n", "Map.addLayer(linearRing, {}, \"LinearRing\")\n", "Map.addLayer(rectangle, {}, \"Rectangle\")\n", "Map.addLayer(polygon, {}, \"Polygon\")\n", "Map" ] }, { "cell_type": "markdown", "id": "33", "metadata": {}, "source": [ "#### Using drawing tools" ] }, { "cell_type": "code", "execution_count": null, "id": "34", "metadata": {}, "outputs": [], "source": [ "if Map.user_roi is not None:\n", " print(Map.user_roi.getInfo())" ] }, { "cell_type": "markdown", "id": "35", "metadata": {}, "source": [ "### Feature\n", "\n", "#### Creating Feature objects" ] }, { "cell_type": "code", "execution_count": null, "id": "36", "metadata": {}, "outputs": [], "source": [ "# Create an ee.Geometry.\n", "polygon = ee.Geometry.Polygon(\n", " [[[-35, -10], [35, -10], [35, 10], [-35, 10], [-35, -10]]], None, False\n", ")\n", "\n", "# Create a Feature from the Geometry.\n", "polyFeature = ee.Feature(polygon, {\"foo\": 42, \"bar\": \"tart\"})" ] }, { "cell_type": "code", "execution_count": null, "id": "37", "metadata": {}, "outputs": [], "source": [ "polyFeature.getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "38", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "Map.addLayer(polyFeature, {}, \"feature\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "39", "metadata": {}, "outputs": [], "source": [ "# Create a dictionary of properties, some of which may be computed values.\n", "props = {\"foo\": ee.Number(8).add(88), \"bar\": \"nihao\"}\n", "\n", "# Create a None geometry feature with the dictionary of properties.\n", "nowhereFeature = ee.Feature(None, props)\n", "\n", "nowhereFeature.getInfo()" ] }, { "cell_type": "markdown", "id": "40", "metadata": {}, "source": [ "#### Setting Feature properties" ] }, { "cell_type": "code", "execution_count": null, "id": "41", "metadata": {}, "outputs": [], "source": [ "# Make a feature and set some properties.\n", "feature = (\n", " ee.Feature(ee.Geometry.Point([-122.22599, 37.17605]))\n", " .set(\"genus\", \"Sequoia\")\n", " .set(\"species\", \"sempervirens\")\n", ")\n", "\n", "# Overwrite the old properties with a new dictionary.\n", "newDict = {\"genus\": \"Brachyramphus\", \"presence\": 1, \"species\": \"marmoratus\"}\n", "feature = feature.set(newDict)\n", "\n", "# Check the result.\n", "feature.getInfo()" ] }, { "cell_type": "markdown", "id": "42", "metadata": {}, "source": [ "#### Getting Feature properties" ] }, { "cell_type": "code", "execution_count": null, "id": "43", "metadata": {}, "outputs": [], "source": [ "prop = feature.get(\"species\")\n", "prop.getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "44", "metadata": {}, "outputs": [], "source": [ "props = feature.toDictionary()\n", "props.getInfo()" ] }, { "cell_type": "markdown", "id": "45", "metadata": {}, "source": [ "### FeatureCollection\n", "\n", "#### Loading feature collections" ] }, { "cell_type": "code", "execution_count": null, "id": "46", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "fc = ee.FeatureCollection(\"TIGER/2016/Roads\")\n", "Map.setCenter(-73.9596, 40.7688, 12)\n", "Map.addLayer(fc, {}, \"Census roads\")\n", "Map" ] }, { "cell_type": "markdown", "id": "47", "metadata": {}, "source": [ "#### Creating feature collections" ] }, { "cell_type": "code", "execution_count": null, "id": "48", "metadata": {}, "outputs": [], "source": [ "# Make a list of Features.\n", "features = [\n", " ee.Feature(ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15), {\"name\": \"Voronoi\"}),\n", " ee.Feature(ee.Geometry.Point(-73.96, 40.781), {\"name\": \"Thiessen\"}),\n", " ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {\"name\": \"Dirichlet\"}),\n", "]\n", "\n", "# Create a FeatureCollection from the list and print it.\n", "fromList = ee.FeatureCollection(features)" ] }, { "cell_type": "code", "execution_count": null, "id": "49", "metadata": {}, "outputs": [], "source": [ "fromList.getInfo()" ] }, { "cell_type": "markdown", "id": "50", "metadata": {}, "source": [ "#### Filtering feature collections" ] }, { "cell_type": "code", "execution_count": null, "id": "51", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "feat = states.filter(ee.Filter.eq(\"NAME\", \"Texas\"))\n", "Map.addLayer(feat, {}, \"Texas\")\n", "Map.centerObject(feat)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "52", "metadata": {}, "outputs": [], "source": [ "texas = feat.first()\n", "texas.toDictionary().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "53", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "fc = states.filter(ee.Filter.inList(\"NAME\", [\"California\", \"Oregon\", \"Washington\"]))\n", "Map.addLayer(fc, {}, \"West Coast\")\n", "Map.centerObject(fc)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "54", "metadata": {}, "outputs": [], "source": [ "region = Map.user_roi\n", "if region is None:\n", " region = ee.Geometry.BBox(-88.40, 29.88, -77.90, 35.39)\n", "\n", "fc = ee.FeatureCollection(\"TIGER/2018/States\").filterBounds(region)\n", "Map.addLayer(fc, {}, \"Southeastern U.S.\")\n", "Map.centerObject(fc)" ] }, { "cell_type": "markdown", "id": "55", "metadata": {}, "source": [ "#### Visualizing feature collections" ] }, { "cell_type": "code", "execution_count": null, "id": "56", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "Map.addLayer(states, {}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "57", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "image = ee.Image().paint(states, 0, 3)\n", "Map.addLayer(image, {\"palette\": \"red\"}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "58", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "style = {\"color\": \"0000ffff\", \"width\": 2, \"lineType\": \"solid\", \"fillColor\": \"FF000080\"}\n", "Map.addLayer(states.style(**style), {}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "59", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "vis_params = {\n", " \"color\": \"000000\",\n", " \"colorOpacity\": 1,\n", " \"pointSize\": 3,\n", " \"pointShape\": \"circle\",\n", " \"width\": 2,\n", " \"lineType\": \"solid\",\n", " \"fillColorOpacity\": 0.66,\n", "}\n", "palette = [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"]\n", "Map.add_styled_vector(\n", " states, column=\"NAME\", palette=palette, layer_name=\"Styled vector\", **vis_params\n", ")\n", "Map" ] }, { "cell_type": "markdown", "id": "60", "metadata": {}, "source": [ "#### Styling by attribute" ] }, { "cell_type": "code", "execution_count": null, "id": "61", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[28.00142, -81.7424], zoom=13)\n", "Map.add_basemap(\"HYBRID\")" ] }, { "cell_type": "code", "execution_count": null, "id": "62", "metadata": {}, "outputs": [], "source": [ "types = [\n", " \"Freshwater Forested/Shrub Wetland\",\n", " \"Freshwater Emergent Wetland\",\n", " \"Freshwater Pond\",\n", " \"Estuarine and Marine Wetland\",\n", " \"Riverine\",\n", " \"Lake\",\n", " \"Estuarine and Marine Deepwater\",\n", " \"Other\",\n", "]\n", "\n", "colors = [\n", " \"#008837\",\n", " \"#7FC31C\",\n", " \"#688CC0\",\n", " \"#66C2A5\",\n", " \"#0190BF\",\n", " \"#13007C\",\n", " \"#007C88\",\n", " \"#B28653\",\n", "]\n", "\n", "fillColor = [c + \"A8\" for c in colors]" ] }, { "cell_type": "code", "execution_count": null, "id": "63", "metadata": {}, "outputs": [], "source": [ "fc = ee.FeatureCollection(\"projects/sat-io/open-datasets/NWI/wetlands/FL_Wetlands\")\n", "styled_fc = geemap.ee_vector_style(\n", " fc, column=\"WETLAND_TY\", labels=types, fillColor=fillColor, color=\"00000000\"\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "64", "metadata": {}, "outputs": [], "source": [ "Map.addLayer(styled_fc, {}, \"NWI\")\n", "Map.add_legend(title=\"Wetland Type\", labels=types, colors=colors)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "65", "metadata": {}, "outputs": [], "source": [ "fuels = [\n", " \"Coal\",\n", " \"Oil\",\n", " \"Gas\",\n", " \"Hydro\",\n", " \"Nuclear\",\n", " \"Solar\",\n", " \"Waste\",\n", " \"Wind\",\n", " \"Geothermal\",\n", " \"Biomass\",\n", "]\n", "colors = [\n", " \"000000\",\n", " \"593704\",\n", " \"BC80BD\",\n", " \"0565A6\",\n", " \"E31A1C\",\n", " \"FF7F00\",\n", " \"6A3D9A\",\n", " \"5CA2D1\",\n", " \"FDBF6F\",\n", " \"229A00\",\n", "]" ] }, { "cell_type": "code", "execution_count": null, "id": "66", "metadata": {}, "outputs": [], "source": [ "fc = ee.FeatureCollection(\"WRI/GPPD/power_plants\").filter(\n", " ee.Filter.inList(\"fuel1\", fuels)\n", ")\n", "styled_fc = geemap.ee_vector_style(fc, column=\"fuel1\", labels=fuels, color=colors)" ] }, { "cell_type": "code", "execution_count": null, "id": "67", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "Map.addLayer(styled_fc, {}, \"Power Plants\")\n", "Map.add_legend(title=\"Power Plant Fuel Type\", labels=fuels, colors=colors)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "68", "metadata": {}, "outputs": [], "source": [ "types = [\"I\", \"U\", \"S\", \"M\", \"C\", \"O\"]\n", "labels = [\"Interstate\", \"U.S.\", \"State recognized\", \"Common Name\", \"County\", \"Other\"]\n", "colors = [\"E31A1C\", \"FF7F00\", \"6A3D9A\", \"000000\", \"FDBF6F\", \"229A00\"]\n", "width = [8, 5, 4, 2, 1, 1]" ] }, { "cell_type": "code", "execution_count": null, "id": "69", "metadata": {}, "outputs": [], "source": [ "fc = ee.FeatureCollection(\"TIGER/2016/Roads\")\n", "styled_fc = geemap.ee_vector_style(\n", " fc, column=\"rttyp\", labels=types, color=colors, width=width\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "70", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40.7424, -73.9724], zoom=13)\n", "Map.addLayer(styled_fc, {}, \"Census Roads\")\n", "Map.add_legend(title=\"Route Type\", labels=labels, colors=colors)\n", "Map" ] }, { "cell_type": "markdown", "id": "71", "metadata": {}, "source": [ "## Earth Engine Data Catalog\n", "\n", "### Searching for datasets" ] }, { "cell_type": "code", "execution_count": null, "id": "72", "metadata": {}, "outputs": [], "source": [ "dataset_xyz = ee.Image(\"USGS/SRTMGL1_003\")\n", "Map.addLayer(dataset_xyz, {}, \"USGS/SRTMGL1_003\")" ] }, { "cell_type": "code", "execution_count": null, "id": "73", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\")\n", "Map" ] }, { "cell_type": "markdown", "id": "74", "metadata": {}, "source": [ "### Using the datasets module" ] }, { "cell_type": "code", "execution_count": null, "id": "75", "metadata": {}, "outputs": [], "source": [ "from geemap.datasets import DATA" ] }, { "cell_type": "code", "execution_count": null, "id": "76", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "dataset = ee.Image(DATA.USGS_GAP_CONUS_2011)\n", "Map.addLayer(dataset, {}, \"GAP CONUS\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "77", "metadata": {}, "outputs": [], "source": [ "from geemap.datasets import get_metadata\n", "\n", "get_metadata(DATA.USGS_GAP_CONUS_2011)" ] }, { "cell_type": "markdown", "id": "78", "metadata": {}, "source": [ "## Getting image metadata" ] }, { "cell_type": "code", "execution_count": null, "id": "79", "metadata": {}, "outputs": [], "source": [ "image = ee.Image(\"LANDSAT/LC09/C02/T1_L2/LC09_044034_20220503\")" ] }, { "cell_type": "code", "execution_count": null, "id": "80", "metadata": {}, "outputs": [], "source": [ "image.bandNames().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "81", "metadata": {}, "outputs": [], "source": [ "image.select(\"SR_B1\").projection().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "82", "metadata": {}, "outputs": [], "source": [ "image.select(\"SR_B1\").projection().nominalScale().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "83", "metadata": {}, "outputs": [], "source": [ "image.propertyNames().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "84", "metadata": {}, "outputs": [], "source": [ "image.get(\"CLOUD_COVER\").getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "85", "metadata": {}, "outputs": [], "source": [ "image.get(\"DATE_ACQUIRED\").getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "86", "metadata": {}, "outputs": [], "source": [ "image.get(\"system:time_start\").getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "87", "metadata": {}, "outputs": [], "source": [ "date = ee.Date(image.get(\"system:time_start\"))\n", "date.format(\"YYYY-MM-dd\").getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "88", "metadata": {}, "outputs": [], "source": [ "image.toDictionary().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "89", "metadata": {}, "outputs": [], "source": [ "props = geemap.image_props(image)\n", "props.getInfo()" ] }, { "cell_type": "markdown", "id": "90", "metadata": {}, "source": [ "## Calculating descriptive statistics" ] }, { "cell_type": "code", "execution_count": null, "id": "91", "metadata": {}, "outputs": [], "source": [ "image = ee.Image(\"LANDSAT/LC09/C02/T1_L2/LC09_044034_20220503\")\n", "geemap.image_min_value(image).getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "92", "metadata": {}, "outputs": [], "source": [ "geemap.image_max_value(image).getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "93", "metadata": {}, "outputs": [], "source": [ "geemap.image_mean_value(image).getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "94", "metadata": {}, "outputs": [], "source": [ "geemap.image_stats(image).getInfo()" ] }, { "cell_type": "markdown", "id": "95", "metadata": {}, "source": [ "## Using the inspector tool" ] }, { "cell_type": "code", "execution_count": null, "id": "96", "metadata": {}, "outputs": [], "source": [ "# Create an interactive map\n", "Map = geemap.Map(center=(40, -100), zoom=4)\n", "\n", "# Add Earth Engine datasets\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\").select(\n", " [\"B1\", \"B2\", \"B3\", \"B4\", \"B5\", \"B7\"]\n", ")\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\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 the map\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\")\n", "Map.addLayer(\n", " landsat7,\n", " {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 20, \"max\": 200, \"gamma\": 2.0},\n", " \"Landsat 7\",\n", ")\n", "Map.addLayer(states, {}, \"US States\")\n", "\n", "# Display the map\n", "Map" ] }, { "cell_type": "markdown", "id": "97", "metadata": {}, "source": [ "## Using the plotting tool" ] }, { "cell_type": "code", "execution_count": null, "id": "98", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "\n", "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\").select(\n", " [\"B1\", \"B2\", \"B3\", \"B4\", \"B5\", \"B7\"]\n", ")\n", "\n", "landsat_vis = {\"bands\": [\"B4\", \"B3\", \"B2\"], \"gamma\": 1.4}\n", "Map.addLayer(landsat7, landsat_vis, \"Landsat\")\n", "\n", "hyperion = ee.ImageCollection(\"EO1/HYPERION\").filter(\n", " ee.Filter.date(\"2016-01-01\", \"2017-03-01\")\n", ")\n", "\n", "hyperion_vis = {\n", " \"min\": 1000.0,\n", " \"max\": 14000.0,\n", " \"gamma\": 2.5,\n", "}\n", "Map.addLayer(hyperion, hyperion_vis, \"Hyperion\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "99", "metadata": {}, "outputs": [], "source": [ "Map.set_plot_options(add_marker_cluster=True, overlay=True)" ] }, { "cell_type": "markdown", "id": "100", "metadata": {}, "source": [ "## Changing layer opacity" ] }, { "cell_type": "code", "execution_count": null, "id": "101", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=(40, -100), zoom=4)\n", "\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\", True, 1)\n", "Map.addLayer(states, {}, \"US States\", True)\n", "\n", "Map" ] }, { "cell_type": "markdown", "id": "102", "metadata": {}, "source": [ "## Visualizing raster data\n", "\n", "### Single-band images" ] }, { "cell_type": "code", "execution_count": null, "id": "103", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[12, 69], zoom=3)\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "104", "metadata": {}, "outputs": [], "source": [ "vis_params = {\n", " \"bands\": [\"elevation\"],\n", " \"palette\": [\"333399\", \" 00b2b2\", \" 99eb85\", \" ccbe7d\", \" 997c76\", \" ffffff\"],\n", " \"min\": 0.0,\n", " \"max\": 6000.0,\n", " \"opacity\": 1.0,\n", " \"gamma\": 1.0,\n", "}" ] }, { "cell_type": "markdown", "id": "105", "metadata": {}, "source": [ "### Multi-band images" ] }, { "cell_type": "code", "execution_count": null, "id": "106", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\")\n", "vis_params = {\n", " \"min\": 20,\n", " \"max\": 200,\n", " \"gamma\": 2,\n", " \"bands\": [\"B4\", \"B3\", \"B2\"],\n", "}\n", "Map.addLayer(landsat7, vis_params, \"Landsat 7\")\n", "Map" ] }, { "cell_type": "markdown", "id": "107", "metadata": {}, "source": [ "## Visualizing vector data" ] }, { "cell_type": "code", "execution_count": null, "id": "108", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "Map.addLayer(states, {}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "109", "metadata": {}, "outputs": [], "source": [ "vis_params = {\n", " \"color\": \"ff0000ff\",\n", " \"width\": 2,\n", " \"lineType\": \"solid\",\n", " \"fillColor\": \"00000000\",\n", "}" ] }, { "cell_type": "code", "execution_count": null, "id": "110", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "Map.addLayer(states.style(**vis_params), {}, \"US States\")\n", "Map" ] }, { "cell_type": "markdown", "id": "111", "metadata": {}, "source": [ "## Creating legends\n", "\n", "### Built-in legends" ] }, { "cell_type": "code", "execution_count": null, "id": "112", "metadata": {}, "outputs": [], "source": [ "legends = geemap.builtin_legends\n", "for legend in legends:\n", " print(legend)" ] }, { "cell_type": "code", "execution_count": null, "id": "113", "metadata": {}, "outputs": [], "source": [ "Map.add_legend(builtin_legend=\"NLCD\")" ] }, { "cell_type": "code", "execution_count": null, "id": "114", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "Map.add_basemap(\"HYBRID\")\n", "\n", "nlcd = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\")\n", "landcover = nlcd.select(\"landcover\")\n", "\n", "Map.addLayer(landcover, {}, \"NLCD Land Cover 2019\")\n", "Map.add_legend(\n", " title=\"NLCD Land Cover Classification\", builtin_legend=\"NLCD\", height=\"465px\"\n", ")\n", "Map" ] }, { "cell_type": "markdown", "id": "115", "metadata": {}, "source": [ "### Custom legends" ] }, { "cell_type": "code", "execution_count": null, "id": "116", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(add_google_map=False)\n", "\n", "labels = [\"One\", \"Two\", \"Three\", \"Four\", \"etc\"]\n", "\n", "# colors can be defined using either hex code or RGB (0-255, 0-255, 0-255)\n", "colors = [\"#8DD3C7\", \"#FFFFB3\", \"#BEBADA\", \"#FB8072\", \"#80B1D3\"]\n", "# legend_colors = [(255, 0, 0), (127, 255, 0), (127, 18, 25), (36, 70, 180), (96, 68 123)]\n", "\n", "Map.add_legend(labels=labels, colors=colors, position=\"bottomright\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "117", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "\n", "legend_dict = {\n", " \"11 Open Water\": \"466b9f\",\n", " \"12 Perennial Ice/Snow\": \"d1def8\",\n", " \"21 Developed, Open Space\": \"dec5c5\",\n", " \"22 Developed, Low Intensity\": \"d99282\",\n", " \"23 Developed, Medium Intensity\": \"eb0000\",\n", " \"24 Developed High Intensity\": \"ab0000\",\n", " \"31 Barren Land (Rock/Sand/Clay)\": \"b3ac9f\",\n", " \"41 Deciduous Forest\": \"68ab5f\",\n", " \"42 Evergreen Forest\": \"1c5f2c\",\n", " \"43 Mixed Forest\": \"b5c58f\",\n", " \"51 Dwarf Scrub\": \"af963c\",\n", " \"52 Shrub/Scrub\": \"ccb879\",\n", " \"71 Grassland/Herbaceous\": \"dfdfc2\",\n", " \"72 Sedge/Herbaceous\": \"d1d182\",\n", " \"73 Lichens\": \"a3cc51\",\n", " \"74 Moss\": \"82ba9e\",\n", " \"81 Pasture/Hay\": \"dcd939\",\n", " \"82 Cultivated Crops\": \"ab6c28\",\n", " \"90 Woody Wetlands\": \"b8d9eb\",\n", " \"95 Emergent Herbaceous Wetlands\": \"6c9fb8\",\n", "}\n", "\n", "nlcd = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\")\n", "landcover = nlcd.select(\"landcover\")\n", "\n", "Map.addLayer(landcover, {}, \"NLCD Land Cover 2019\")\n", "Map.add_legend(title=\"NLCD Land Cover Classification\", legend_dict=legend_dict)\n", "Map" ] }, { "cell_type": "markdown", "id": "118", "metadata": {}, "source": [ "## Creating color bars" ] }, { "cell_type": "code", "execution_count": null, "id": "119", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "120", "metadata": {}, "outputs": [], "source": [ "Map.add_colorbar(vis_params, label=\"Elevation (m)\", layer_name=\"SRTM DEM\")" ] }, { "cell_type": "code", "execution_count": null, "id": "121", "metadata": {}, "outputs": [], "source": [ "Map.add_colorbar(\n", " vis_params, label=\"Elevation (m)\", layer_name=\"SRTM DEM\", orientation=\"vertical\"\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "122", "metadata": {}, "outputs": [], "source": [ "Map.add_colorbar(\n", " vis_params,\n", " label=\"Elevation (m)\",\n", " layer_name=\"SRTM DEM\",\n", " orientation=\"vertical\",\n", " transparent_bg=True,\n", ")" ] }, { "cell_type": "markdown", "id": "123", "metadata": {}, "source": [ "## Displaying labels" ] }, { "cell_type": "code", "execution_count": null, "id": "124", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4, add_google_map=False)\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "style = {\"color\": \"black\", \"fillColor\": \"00000000\"}\n", "Map.addLayer(states.style(**style), {}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "125", "metadata": {}, "outputs": [], "source": [ "Map.add_labels(\n", " data=states,\n", " column=\"STUSPS\",\n", " font_size=\"12pt\",\n", " font_color=\"blue\",\n", " font_family=\"arial\",\n", " font_weight=\"bold\",\n", " draggable=True,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "126", "metadata": {}, "outputs": [], "source": [ "Map.remove_labels()" ] }, { "cell_type": "code", "execution_count": null, "id": "127", "metadata": {}, "outputs": [], "source": [ "centroids = geemap.vector_centroids(states)\n", "df = geemap.ee_to_df(centroids)\n", "df" ] }, { "cell_type": "code", "execution_count": null, "id": "128", "metadata": {}, "outputs": [], "source": [ "Map.add_labels(\n", " data=df,\n", " column=\"STUSPS\",\n", " font_size=\"12pt\",\n", " font_color=\"blue\",\n", " font_family=\"arial\",\n", " font_weight=\"bold\",\n", " x=\"longitude\",\n", " y=\"latitude\",\n", ")\n", "Map" ] }, { "cell_type": "markdown", "id": "129", "metadata": {}, "source": [ "## Split-panel maps" ] }, { "cell_type": "code", "execution_count": null, "id": "130", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "Map.split_map(left_layer=\"HYBRID\", right_layer=\"TERRAIN\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "131", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=(40, -100), zoom=4, height=600)\n", "\n", "nlcd_2001 = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2001\").select(\"landcover\")\n", "nlcd_2019 = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\").select(\"landcover\")\n", "\n", "left_layer = geemap.ee_tile_layer(nlcd_2001, {}, \"NLCD 2001\")\n", "right_layer = geemap.ee_tile_layer(nlcd_2019, {}, \"NLCD 2019\")\n", "\n", "Map.split_map(left_layer, right_layer)\n", "Map" ] }, { "cell_type": "markdown", "id": "132", "metadata": {}, "source": [ "## Linked maps" ] }, { "cell_type": "code", "execution_count": null, "id": "133", "metadata": {}, "outputs": [], "source": [ "image = (\n", " ee.ImageCollection(\"COPERNICUS/S2\")\n", " .filterDate(\"2018-09-01\", \"2018-09-30\")\n", " .map(lambda img: img.divide(10000))\n", " .median()\n", ")\n", "\n", "vis_params = [\n", " {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 0, \"max\": 0.3, \"gamma\": 1.3},\n", " {\"bands\": [\"B8\", \"B11\", \"B4\"], \"min\": 0, \"max\": 0.3, \"gamma\": 1.3},\n", " {\"bands\": [\"B8\", \"B4\", \"B3\"], \"min\": 0, \"max\": 0.3, \"gamma\": 1.3},\n", " {\"bands\": [\"B12\", \"B12\", \"B4\"], \"min\": 0, \"max\": 0.3, \"gamma\": 1.3},\n", "]\n", "\n", "labels = [\n", " \"Natural Color (B4/B3/B2)\",\n", " \"Land/Water (B8/B11/B4)\",\n", " \"Color Infrared (B8/B4/B3)\",\n", " \"Vegetation (B12/B11/B4)\",\n", "]\n", "\n", "geemap.linked_maps(\n", " rows=2,\n", " cols=2,\n", " height=\"300px\",\n", " center=[38.4151, 21.2712],\n", " zoom=12,\n", " ee_objects=[image],\n", " vis_params=vis_params,\n", " labels=labels,\n", " label_position=\"topright\",\n", ")" ] }, { "cell_type": "markdown", "id": "134", "metadata": {}, "source": [ "## Timeseries inspector\n", "\n", "### Visualizing image collections" ] }, { "cell_type": "code", "execution_count": null, "id": "135", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "collection = ee.ImageCollection(\"USGS/NLCD_RELEASES/2019_REL/NLCD\").select(\"landcover\")\n", "vis_params = {\"bands\": [\"landcover\"]}\n", "years = collection.aggregate_array(\"system:index\").getInfo()\n", "years" ] }, { "cell_type": "code", "execution_count": null, "id": "136", "metadata": {}, "outputs": [], "source": [ "Map.ts_inspector(\n", " left_ts=collection,\n", " right_ts=collection,\n", " left_names=years,\n", " right_names=years,\n", " left_vis=vis_params,\n", " right_vis=vis_params,\n", " width=\"80px\",\n", ")\n", "Map" ] }, { "cell_type": "markdown", "id": "137", "metadata": {}, "source": [ "## Time slider\n", "\n", "### Visualizing vegetation data" ] }, { "cell_type": "code", "execution_count": null, "id": "138", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "collection = (\n", " ee.ImageCollection(\"MODIS/MCD43A4_006_NDVI\")\n", " .filter(ee.Filter.date(\"2018-06-01\", \"2018-07-01\"))\n", " .select(\"NDVI\")\n", ")\n", "vis_params = {\n", " \"min\": 0.0,\n", " \"max\": 1.0,\n", " \"palette\": [\n", " \"FFFFFF\",\n", " \"CE7E45\",\n", " \"DF923D\",\n", " \"F1B555\",\n", " \"FCD163\",\n", " \"99B718\",\n", " \"74A901\",\n", " \"66A000\",\n", " \"529400\",\n", " \"3E8601\",\n", " \"207401\",\n", " \"056201\",\n", " \"004C00\",\n", " \"023B01\",\n", " \"012E01\",\n", " \"011D01\",\n", " \"011301\",\n", " ],\n", "}\n", "\n", "Map.add_time_slider(collection, vis_params, time_interval=2)\n", "Map" ] }, { "cell_type": "markdown", "id": "139", "metadata": {}, "source": [ "### Visualizing weather data" ] }, { "cell_type": "code", "execution_count": null, "id": "140", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "collection = (\n", " ee.ImageCollection(\"NOAA/GFS0P25\")\n", " .filterDate(\"2018-12-22\", \"2018-12-23\")\n", " .limit(24)\n", " .select(\"temperature_2m_above_ground\")\n", ")\n", "\n", "vis_params = {\n", " \"min\": -40.0,\n", " \"max\": 35.0,\n", " \"palette\": [\"blue\", \"purple\", \"cyan\", \"green\", \"yellow\", \"red\"],\n", "}\n", "\n", "labels = [str(n).zfill(2) + \":00\" for n in range(0, 24)]\n", "Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1, opacity=0.8)\n", "Map" ] }, { "cell_type": "markdown", "id": "141", "metadata": {}, "source": [ "### Visualizing Sentinel-2 imagery" ] }, { "cell_type": "code", "execution_count": null, "id": "142", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[37.75, -122.45], zoom=12)\n", "\n", "collection = (\n", " ee.ImageCollection(\"COPERNICUS/S2_SR\")\n", " .filterBounds(ee.Geometry.Point([-122.45, 37.75]))\n", " .filterMetadata(\"CLOUDY_PIXEL_PERCENTAGE\", \"less_than\", 10)\n", ")\n", "\n", "vis_params = {\"min\": 0, \"max\": 4000, \"bands\": [\"B8\", \"B4\", \"B3\"]}\n", "\n", "Map.add_time_slider(collection, vis_params)\n", "Map" ] }, { "cell_type": "markdown", "id": "143", "metadata": {}, "source": [ "## Shaded relief maps" ] }, { "cell_type": "code", "execution_count": null, "id": "144", "metadata": {}, "outputs": [], "source": [ "import geemap.colormaps as cm\n", "\n", "Map = geemap.Map()\n", "\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "hillshade = ee.Terrain.hillshade(dem)\n", "\n", "vis = {\"min\": 0, \"max\": 6000, \"palette\": cm.palettes.terrain}\n", "blend = geemap.blend(top_layer=dem, top_vis=vis)\n", "\n", "Map.addLayer(hillshade, {}, \"Hillshade\")\n", "Map.addLayer(blend, {}, \"Shaded relief\")\n", "\n", "Map.add_colorbar(vis, label=\"Elevation (m)\")\n", "Map.setCenter(91.4206, 27.3225, zoom=9)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "145", "metadata": {}, "outputs": [], "source": [ "left_layer = geemap.ee_tile_layer(blend, {}, \"Shaded relief\")\n", "right_layer = geemap.ee_tile_layer(hillshade, {}, \"Hillshade\")\n", "Map.split_map(left_layer, right_layer)" ] }, { "cell_type": "code", "execution_count": null, "id": "146", "metadata": {}, "outputs": [], "source": [ "nlcd = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\").select(\"landcover\")\n", "nlcd_vis = {\"bands\": [\"landcover\"]}\n", "blend = geemap.blend(nlcd, dem, top_vis=nlcd_vis, expression=\"a*b\")\n", "Map.addLayer(blend, {}, \"Blend NLCD\")\n", "Map.add_legend(builtin_legend=\"NLCD\", title=\"NLCD Land Cover\")\n", "Map.setCenter(-118.1310, 35.6816, 10)" ] }, { "cell_type": "markdown", "id": "147", "metadata": {}, "source": [ "## Elevation contours" ] }, { "cell_type": "code", "execution_count": null, "id": "148", "metadata": {}, "outputs": [], "source": [ "import geemap.colormaps as cm" ] }, { "cell_type": "code", "execution_count": null, "id": "149", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "image = ee.Image(\"USGS/SRTMGL1_003\")\n", "hillshade = ee.Terrain.hillshade(image)\n", "Map.addLayer(hillshade, {}, \"Hillshade\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "150", "metadata": {}, "outputs": [], "source": [ "vis_params = {\"min\": 0, \"max\": 5000, \"palette\": cm.palettes.dem}\n", "Map.addLayer(image, vis_params, \"dem\", True, 0.5)\n", "Map.add_colorbar(vis_params, label=\"Elevation (m)\")" ] }, { "cell_type": "code", "execution_count": null, "id": "151", "metadata": {}, "outputs": [], "source": [ "contours = geemap.create_contours(image, 0, 5000, 100, region=None)\n", "Map.addLayer(contours, {\"palette\": \"black\"}, \"contours\")\n", "Map.setCenter(-119.3678, 37.1671, 12)" ] }, { "cell_type": "markdown", "id": "152", "metadata": {}, "source": [ "## Image descriptive statistics" ] }, { "cell_type": "code", "execution_count": null, "id": "153", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "centroid = ee.Geometry.Point([-122.4439, 37.7538])\n", "image = ee.ImageCollection(\"LANDSAT/LC08/C01/T1_SR\").filterBounds(centroid).first()\n", "vis = {\"min\": 0, \"max\": 3000, \"bands\": [\"B5\", \"B4\", \"B3\"]}\n", "\n", "Map.centerObject(centroid, 8)\n", "Map.addLayer(image, vis, \"Landsat-8\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "154", "metadata": {}, "outputs": [], "source": [ "image.propertyNames().getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "155", "metadata": {}, "outputs": [], "source": [ "image.get(\"CLOUD_COVER\").getInfo() # 0.05" ] }, { "cell_type": "code", "execution_count": null, "id": "156", "metadata": {}, "outputs": [], "source": [ "props = geemap.image_props(image)\n", "props.getInfo()" ] }, { "cell_type": "code", "execution_count": null, "id": "157", "metadata": {}, "outputs": [], "source": [ "stats = geemap.image_stats(image, scale=30)\n", "stats.getInfo()" ] }, { "cell_type": "markdown", "id": "158", "metadata": {}, "source": [ "## Zonal statistics with Earth Engine\n", "\n", "### Zonal statistics" ] }, { "cell_type": "code", "execution_count": null, "id": "159", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "\n", "# Add NASA SRTM\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "dem_vis = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(dem, dem_vis, \"SRTM DEM\")\n", "\n", "# Add 5-year Landsat TOA composite\n", "landsat = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\")\n", "landsat_vis = {\"bands\": [\"B4\", \"B3\", \"B2\"], \"gamma\": 1.4}\n", "Map.addLayer(landsat, landsat_vis, \"Landsat\", False)\n", "\n", "# Add US Census States\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "style = {\"fillColor\": \"00000000\"}\n", "Map.addLayer(states.style(**style), {}, \"US States\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "160", "metadata": {}, "outputs": [], "source": [ "out_dem_stats = \"dem_stats.csv\"\n", "geemap.zonal_stats(\n", " dem, states, out_dem_stats, stat_type=\"MEAN\", scale=1000, return_fc=False\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "161", "metadata": {}, "outputs": [], "source": [ "out_landsat_stats = \"landsat_stats.csv\"\n", "geemap.zonal_stats(\n", " landsat,\n", " states,\n", " out_landsat_stats,\n", " stat_type=\"MEAN\",\n", " scale=1000,\n", " return_fc=False,\n", ")" ] }, { "cell_type": "markdown", "id": "162", "metadata": {}, "source": [ "### Zonal statistics by group" ] }, { "cell_type": "code", "execution_count": null, "id": "163", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "\n", "# Add NLCD data\n", "dataset = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\")\n", "landcover = dataset.select(\"landcover\")\n", "Map.addLayer(landcover, {}, \"NLCD 2019\")\n", "\n", "# Add US census states\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "style = {\"fillColor\": \"00000000\"}\n", "Map.addLayer(states.style(**style), {}, \"US States\")\n", "\n", "# Add NLCD legend\n", "Map.add_legend(title=\"NLCD Land Cover\", builtin_legend=\"NLCD\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "164", "metadata": {}, "outputs": [], "source": [ "nlcd_stats = \"nlcd_stats.csv\"\n", "\n", "geemap.zonal_stats_by_group(\n", " landcover,\n", " states,\n", " nlcd_stats,\n", " stat_type=\"SUM\",\n", " denominator=1e6,\n", " decimal_places=2,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "165", "metadata": {}, "outputs": [], "source": [ "nlcd_stats = \"nlcd_stats_pct.csv\"\n", "\n", "geemap.zonal_stats_by_group(\n", " landcover,\n", " states,\n", " nlcd_stats,\n", " stat_type=\"PERCENTAGE\",\n", " denominator=1e6,\n", " decimal_places=2,\n", ")" ] }, { "cell_type": "markdown", "id": "166", "metadata": {}, "source": [ "### Zonal statistics with two images" ] }, { "cell_type": "code", "execution_count": null, "id": "167", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "dem = ee.Image(\"USGS/3DEP/10m\")\n", "vis = {\"min\": 0, \"max\": 4000, \"palette\": \"terrain\"}\n", "Map.addLayer(dem, vis, \"DEM\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "168", "metadata": {}, "outputs": [], "source": [ "landcover = ee.Image(\"USGS/NLCD_RELEASES/2019_REL/NLCD/2019\").select(\"landcover\")\n", "Map.addLayer(landcover, {}, \"NLCD 2019\")\n", "Map.add_legend(title=\"NLCD Land Cover Classification\", builtin_legend=\"NLCD\")" ] }, { "cell_type": "code", "execution_count": null, "id": "169", "metadata": {}, "outputs": [], "source": [ "stats = geemap.image_stats_by_zone(dem, landcover, reducer=\"MEAN\")\n", "stats" ] }, { "cell_type": "code", "execution_count": null, "id": "170", "metadata": {}, "outputs": [], "source": [ "stats.to_csv(\"mean.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "171", "metadata": {}, "outputs": [], "source": [ "geemap.image_stats_by_zone(dem, landcover, out_csv=\"std.csv\", reducer=\"STD\")" ] }, { "cell_type": "markdown", "id": "172", "metadata": {}, "source": [ "## Extracting pixel values\n", "\n", "### Extracting values to points" ] }, { "cell_type": "code", "execution_count": null, "id": "173", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\")\n", "\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "\n", "Map.addLayer(\n", " landsat7,\n", " {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 20, \"max\": 200, \"gamma\": 2},\n", " \"Landsat 7\",\n", ")\n", "Map.addLayer(dem, vis_params, \"SRTM DEM\", True, 1)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "174", "metadata": {}, "outputs": [], "source": [ "in_shp = \"us_cities.shp\"\n", "url = \"https://github.com/giswqs/data/raw/main/us/us_cities.zip\"\n", "geemap.download_file(url)" ] }, { "cell_type": "code", "execution_count": null, "id": "175", "metadata": {}, "outputs": [], "source": [ "in_fc = geemap.shp_to_ee(in_shp)\n", "Map.addLayer(in_fc, {}, \"Cities\")" ] }, { "cell_type": "code", "execution_count": null, "id": "176", "metadata": {}, "outputs": [], "source": [ "geemap.extract_values_to_points(in_fc, dem, out_fc=\"dem.shp\")" ] }, { "cell_type": "code", "execution_count": null, "id": "177", "metadata": {}, "outputs": [], "source": [ "geemap.shp_to_gdf(\"dem.shp\")" ] }, { "cell_type": "code", "execution_count": null, "id": "178", "metadata": {}, "outputs": [], "source": [ "geemap.extract_values_to_points(in_fc, landsat7, \"landsat.csv\")" ] }, { "cell_type": "code", "execution_count": null, "id": "179", "metadata": {}, "outputs": [], "source": [ "geemap.csv_to_df(\"landsat.csv\")" ] }, { "cell_type": "markdown", "id": "180", "metadata": {}, "source": [ "### Extracting pixel values along a transect" ] }, { "cell_type": "code", "execution_count": null, "id": "181", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[40, -100], zoom=4)\n", "Map.add_basemap(\"TERRAIN\")\n", "\n", "image = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(image, vis_params, \"SRTM DEM\", True, 0.5)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "182", "metadata": {}, "outputs": [], "source": [ "line = Map.user_roi\n", "if line is None:\n", " line = ee.Geometry.LineString(\n", " [[-120.2232, 36.3148], [-118.9269, 36.7121], [-117.2022, 36.7562]]\n", " )\n", " Map.addLayer(line, {}, \"ROI\")\n", "Map.centerObject(line)" ] }, { "cell_type": "code", "execution_count": null, "id": "183", "metadata": {}, "outputs": [], "source": [ "reducer = \"mean\"\n", "transect = geemap.extract_transect(\n", " image, line, n_segments=100, reducer=reducer, to_pandas=True\n", ")\n", "transect" ] }, { "cell_type": "code", "execution_count": null, "id": "184", "metadata": {}, "outputs": [], "source": [ "geemap.line_chart(\n", " data=transect,\n", " x=\"distance\",\n", " y=\"mean\",\n", " markers=True,\n", " x_label=\"Distance (m)\",\n", " y_label=\"Elevation (m)\",\n", " height=400,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "185", "metadata": {}, "outputs": [], "source": [ "transect.to_csv(\"transect.csv\")" ] }, { "cell_type": "markdown", "id": "186", "metadata": {}, "source": [ "### Interactive region reduction" ] }, { "cell_type": "code", "execution_count": null, "id": "187", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "collection = (\n", " ee.ImageCollection(\"MODIS/061/MOD13A2\")\n", " .filterDate(\"2015-01-01\", \"2019-12-31\")\n", " .select(\"NDVI\")\n", ")\n", "\n", "image = collection.toBands()\n", "\n", "ndvi_vis = {\n", " \"min\": 0.0,\n", " \"max\": 9000.0,\n", " \"palette\": \"ndvi\",\n", "}\n", "\n", "Map.addLayer(image, {}, \"MODIS NDVI Time-series\")\n", "Map.addLayer(image.select(0), ndvi_vis, \"First image\")\n", "\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "188", "metadata": {}, "outputs": [], "source": [ "dates = geemap.image_dates(collection).getInfo()\n", "dates" ] }, { "cell_type": "code", "execution_count": null, "id": "189", "metadata": {}, "outputs": [], "source": [ "len(dates)" ] }, { "cell_type": "code", "execution_count": null, "id": "190", "metadata": {}, "outputs": [], "source": [ "Map.set_plot_options(add_marker_cluster=True)\n", "Map.roi_reducer = ee.Reducer.mean()\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "191", "metadata": {}, "outputs": [], "source": [ "Map.extract_values_to_points(\"ndvi.csv\")" ] }, { "cell_type": "markdown", "id": "192", "metadata": {}, "source": [ "## Mapping available image count" ] }, { "cell_type": "code", "execution_count": null, "id": "193", "metadata": {}, "outputs": [], "source": [ "collection = ee.ImageCollection(\"LANDSAT/LC08/C02/T1_L2\")\n", "image = geemap.image_count(\n", " collection, region=None, start_date=\"2021-01-01\", end_date=\"2022-01-01\", clip=False\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "194", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "vis = {\"min\": 0, \"max\": 60, \"palette\": \"coolwarm\"}\n", "Map.addLayer(image, vis, \"Image Count\")\n", "Map.add_colorbar(vis, label=\"Landsat 8 Image Count\")\n", "\n", "countries = ee.FeatureCollection(geemap.examples.get_ee_path(\"countries\"))\n", "style = {\"color\": \"00000088\", \"width\": 1, \"fillColor\": \"00000000\"}\n", "Map.addLayer(countries.style(**style), {}, \"Countries\")\n", "Map" ] }, { "cell_type": "markdown", "id": "195", "metadata": {}, "source": [ "## Cloud-free composites" ] }, { "cell_type": "code", "execution_count": null, "id": "196", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "collection = ee.ImageCollection(\"LANDSAT/LC08/C02/T1\").filterDate(\n", " \"2021-01-01\", \"2022-01-01\"\n", ")\n", "\n", "composite = ee.Algorithms.Landsat.simpleComposite(collection)\n", "\n", "vis_params = {\"bands\": [\"B5\", \"B4\", \"B3\"], \"max\": 128}\n", "\n", "Map.setCenter(-122.3578, 37.7726, 10)\n", "Map.addLayer(composite, vis_params, \"TOA composite\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "197", "metadata": {}, "outputs": [], "source": [ "customComposite = ee.Algorithms.Landsat.simpleComposite(\n", " **{\"collection\": collection, \"percentile\": 30, \"cloudScoreRange\": 5}\n", ")\n", "\n", "Map.addLayer(customComposite, vis_params, \"Custom TOA composite\")\n", "Map.setCenter(-105.4317, 52.5536, 11)" ] }, { "cell_type": "code", "execution_count": null, "id": "198", "metadata": {}, "outputs": [], "source": [ "vis_params = [\n", " {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 0, \"max\": 128},\n", " {\"bands\": [\"B5\", \"B4\", \"B3\"], \"min\": 0, \"max\": 128},\n", " {\"bands\": [\"B7\", \"B6\", \"B4\"], \"min\": 0, \"max\": 128},\n", " {\"bands\": [\"B6\", \"B5\", \"B2\"], \"min\": 0, \"max\": 128},\n", "]\n", "\n", "labels = [\n", " \"Natural Color (4, 3, 2)\",\n", " \"Color Infrared (5, 4, 3)\",\n", " \"Short-Wave Infrared (7, 6 4)\",\n", " \"Agriculture (6, 5, 2)\",\n", "]" ] }, { "cell_type": "code", "execution_count": null, "id": "199", "metadata": {}, "outputs": [], "source": [ "geemap.linked_maps(\n", " rows=2,\n", " cols=2,\n", " height=\"300px\",\n", " center=[37.7726, -122.1578],\n", " zoom=9,\n", " ee_objects=[composite],\n", " vis_params=vis_params,\n", " labels=labels,\n", " label_position=\"topright\",\n", ")" ] }, { "cell_type": "markdown", "id": "200", "metadata": {}, "source": [ "## Exporting images" ] }, { "cell_type": "code", "execution_count": null, "id": "201", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "\n", "image = ee.Image(\"LANDSAT/LC08/C02/T1_TOA/LC08_044034_20140318\").select(\n", " [\"B5\", \"B4\", \"B3\"]\n", ")\n", "\n", "vis_params = {\"min\": 0, \"max\": 0.5, \"gamma\": [0.95, 1.1, 1]}\n", "\n", "Map.centerObject(image)\n", "Map.addLayer(image, vis_params, \"Landsat\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "202", "metadata": {}, "outputs": [], "source": [ "region = ee.Geometry.BBox(-122.5955, 37.5339, -122.0982, 37.8252)\n", "fc = ee.FeatureCollection(region)\n", "style = {\"color\": \"ffff00ff\", \"fillColor\": \"00000000\"}\n", "Map.addLayer(fc.style(**style), {}, \"ROI\")\n", "Map" ] }, { "cell_type": "markdown", "id": "203", "metadata": {}, "source": [ "### To local drive" ] }, { "cell_type": "code", "execution_count": null, "id": "204", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_image(image, filename=\"landsat.tif\", scale=30, region=region)" ] }, { "cell_type": "code", "execution_count": null, "id": "205", "metadata": {}, "outputs": [], "source": [ "projection = image.select(0).projection().getInfo()\n", "projection" ] }, { "cell_type": "code", "execution_count": null, "id": "206", "metadata": {}, "outputs": [], "source": [ "crs = projection[\"crs\"]\n", "crs_transform = projection[\"transform\"]" ] }, { "cell_type": "code", "execution_count": null, "id": "207", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_image(\n", " image,\n", " filename=\"landsat_crs.tif\",\n", " crs=crs,\n", " crs_transform=crs_transform,\n", " region=region,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "208", "metadata": {}, "outputs": [], "source": [ "geemap.download_ee_image(image, filename=\"landsat_full.tif\", scale=60)" ] }, { "cell_type": "code", "execution_count": null, "id": "209", "metadata": {}, "outputs": [], "source": [ "fishnet = geemap.fishnet(image.geometry(), rows=4, cols=4, delta=0.5)\n", "style = {\"color\": \"ffff00ff\", \"fillColor\": \"00000000\"}\n", "Map.addLayer(fishnet.style(**style), {}, \"Fishnet\")\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "210", "metadata": {}, "outputs": [], "source": [ "geemap.download_ee_image_tiles(\n", " image, fishnet, out_dir=\".\", prefix=\"landsat_\", crs=\"EPSG:3857\", scale=30\n", ")" ] }, { "cell_type": "markdown", "id": "211", "metadata": {}, "source": [ "### To Google Drive" ] }, { "cell_type": "code", "execution_count": null, "id": "212", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_image_to_drive(\n", " image, description=\"landsat\", folder=\"export\", region=region, scale=30\n", ")" ] }, { "cell_type": "markdown", "id": "213", "metadata": {}, "source": [ "### To Asset" ] }, { "cell_type": "code", "execution_count": null, "id": "214", "metadata": {}, "outputs": [], "source": [ "assetId = \"landsat_sfo\"\n", "geemap.ee_export_image_to_asset(\n", " image, description=\"landsat\", assetId=assetId, region=region, scale=30\n", ")" ] }, { "cell_type": "markdown", "id": "215", "metadata": {}, "source": [ "### To NumPy array" ] }, { "cell_type": "code", "execution_count": null, "id": "216", "metadata": {}, "outputs": [], "source": [ "region = ee.Geometry.BBox(-122.5003, 37.7233, -122.3410, 37.8026)\n", "rgb_img = geemap.ee_to_numpy(image, region=region)" ] }, { "cell_type": "code", "execution_count": null, "id": "217", "metadata": {}, "outputs": [], "source": [ "print(rgb_img.shape)" ] }, { "cell_type": "code", "execution_count": null, "id": "218", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", "rgb_img_test = (255 * ((rgb_img[:, :, 0:3]) + 0.2)).astype(\"uint8\")\n", "plt.imshow(rgb_img_test)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "219", "metadata": {}, "source": [ "## Exporting image collections" ] }, { "cell_type": "code", "execution_count": null, "id": "220", "metadata": {}, "outputs": [], "source": [ "point = ee.Geometry.Point(-99.2222, 46.7816)\n", "collection = (\n", " ee.ImageCollection(\"USDA/NAIP/DOQQ\")\n", " .filterBounds(point)\n", " .filterDate(\"2008-01-01\", \"2018-01-01\")\n", " .filter(ee.Filter.listContains(\"system:band_names\", \"N\"))\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "221", "metadata": {}, "outputs": [], "source": [ "collection.aggregate_array(\"system:index\").getInfo()" ] }, { "cell_type": "markdown", "id": "222", "metadata": {}, "source": [ "### To local drive" ] }, { "cell_type": "code", "execution_count": null, "id": "223", "metadata": {}, "outputs": [], "source": [ "out_dir = os.path.expanduser(\"~/Downloads\")\n", "geemap.ee_export_image_collection(collection, out_dir=out_dir, scale=10)" ] }, { "cell_type": "markdown", "id": "224", "metadata": {}, "source": [ "### To Google Drive" ] }, { "cell_type": "code", "execution_count": null, "id": "225", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_image_collection_to_drive(collection, folder=\"export\", scale=10)" ] }, { "cell_type": "markdown", "id": "226", "metadata": {}, "source": [ "### To Assets" ] }, { "cell_type": "code", "execution_count": null, "id": "227", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_image_collection_to_asset(collection)" ] }, { "cell_type": "markdown", "id": "228", "metadata": {}, "source": [ "# Exporting feature collections" ] }, { "cell_type": "code", "execution_count": null, "id": "229", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "fc = ee.FeatureCollection(\"USDOS/LSIB_SIMPLE/2017\").filter(\n", " ee.Filter.eq(\"wld_rgn\", \"Europe\")\n", ")\n", "\n", "Map.addLayer(fc, {}, \"Europe\")\n", "Map.centerObject(fc, 3)\n", "Map" ] }, { "cell_type": "markdown", "id": "230", "metadata": {}, "source": [ "### To local drive" ] }, { "cell_type": "code", "execution_count": null, "id": "231", "metadata": {}, "outputs": [], "source": [ "geemap.ee_to_shp(fc, filename=\"europe.shp\", selectors=None)" ] }, { "cell_type": "code", "execution_count": null, "id": "232", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_vector(fc, filename=\"europe2.shp\")" ] }, { "cell_type": "code", "execution_count": null, "id": "233", "metadata": {}, "outputs": [], "source": [ "geemap.ee_to_geojson(fc, filename=\"europe.geojson\")" ] }, { "cell_type": "code", "execution_count": null, "id": "234", "metadata": {}, "outputs": [], "source": [ "geemap.ee_to_csv(fc, filename=\"europe.csv\")" ] }, { "cell_type": "code", "execution_count": null, "id": "235", "metadata": {}, "outputs": [], "source": [ "gdf = geemap.ee_to_gdf(fc)\n", "gdf" ] }, { "cell_type": "code", "execution_count": null, "id": "236", "metadata": {}, "outputs": [], "source": [ "df = geemap.ee_to_df(fc)\n", "df" ] }, { "cell_type": "markdown", "id": "237", "metadata": {}, "source": [ "### To Google Drive" ] }, { "cell_type": "code", "execution_count": null, "id": "238", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_vector_to_drive(\n", " fc, description=\"europe\", fileFormat=\"SHP\", folder=\"export\"\n", ")" ] }, { "cell_type": "markdown", "id": "239", "metadata": {}, "source": [ "### To Asset" ] }, { "cell_type": "code", "execution_count": null, "id": "240", "metadata": {}, "outputs": [], "source": [ "geemap.ee_export_vector_to_asset(fc, description=\"Exporting Europe\", assetId=\"europe\")" ] }, { "cell_type": "markdown", "id": "241", "metadata": {}, "source": [ "## Exporting maps" ] }, { "cell_type": "code", "execution_count": null, "id": "242", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map()\n", "image = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "Map.addLayer(image, vis_params, \"SRTM DEM\", True)\n", "Map" ] }, { "cell_type": "code", "execution_count": null, "id": "243", "metadata": {}, "outputs": [], "source": [ "Map.to_html(\n", " filename=\"mymap.html\", title=\"Earth Engine Map\", width=\"100%\", height=\"800px\"\n", ")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }